Data Driven Vs Model Driven Jobs in Usa
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Job Description:
We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what's possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what's next to power infinite possibilities for our customers, colleagues and society at large.
About the Role:
We are seeking a highly skilled and experienced Data Analyst with Power BI Specialty to join a dynamic team of marketing analysts in driving forward our mission to transform business and ad tech data into valuable marketing insights. As a Data Analyst / Power BI Specialist in the Wiley Marketing team, you will play a crucial role developing strategically important shared data models for reports that influence strategic decision-making, shed light on campaign performance, and ensure the success of our publishing initiatives. We're looking for a methodical, future-thinker, who can support and guide others in the team to do the same. We have rich data landscape at our fingertips; this role is a key advocate in its practical application to benefit marketing effectiveness.
How you will make an impact:
Develop and maintain shared semantic models in Power BI using star schema design.
Develop SQL queries to extract and manipulate data from our BigQuery database for use in Power BI.
Define and implement best practice report/data management through Microsoft Fabric integrations
Review and maintain reports for performance optimizations, style consistency, and best practice improvements.
Consult on and support building a data model and structure that enables efficient and accurate reporting and analysis.
Consult on wireframe design during the early stages of building new reports to provide guidance on effective visualization and user experience.
Consult on the development of strategically insightful reporting dashboards with actionable insights to support key stakeholder decision-making processes.
We are looking for people who have:
Experience (4+ years) in Data Modelling, Data Analysis, or similar.
Demonstrated experience with Power BI, semantic models, and other Microsoft Fabric tools.
Demonstrated proficiency creating SQL queries to manipulate large datasets.
Strong analytical and problem-solving skills, with a focus on best practice and data governance.
Strong attention-to-detail, with the ability to organize and maintain datasets using meticulous, self-determined methods.
Strong communication skills, with the ability to define requirements and explain technical concepts to both technical and non-technical stakeholders.
Experience with BigQuery or other data warehousing platforms.
We power infinite possibilities.
For more than 200 years, we've transformed knowledge into discoveries that shape the world. Today, our global team of innovators, creators, and experts is driving what's next in science, education, and publishing-creating impact that reaches everywhere.
We're not just observers of progress. We're the ones accelerating scientific breakthroughs, advancing learning, and sparking innovation that redefines entire fields and improves lives.
Here, your talent matters. Your ideas have room to grow. And your work creates breakthroughs that can change everything.
Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact for assistance.
We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We offer meeting-free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow.
We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The range below represents Wiley's good faith and reasonable estimate of the base pay for this role at the time of posting roles either in the United Kingdom, Canada or USA. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies.
When applying, please attach your resume/CV to be considered.
Salary Range:
85,500 USD to 122,567 USD#LI-SCJob Posting Title:
Data Analyst - Power BI SpecialistLocation:
Hoboken (HQ), NJ, USA
Job Description
At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
The Boeing Defense, Space & Security (BDS) - Phantom Works organization is seeking a seasoned Low Observables (LO) Design & Integration Engineer to lead design and analysis activities supporting the fabrication and test of an RCS pole model.
The successful candidate will apply deep expertise in LO materials, integration, manufacturing, computational electromagnetic (CEM) modelling, and test support to design, build and test a representative pole model for an advanced next generation program in the St. Louis region.
Key Responsibilities:
- Lead detailed LO design and integration for the RCS pole model, including material selection, incorporation of advanced technologies, supplier hardware integration.
- Use computational electromagnetic solvers to model, analyze, and optimize radar cross section (RCS) and scattering behavior across required frequency bands and aspect angles in support of pre-test predictions and diagnostics.
- Work with Manufacturing to ensure proper alignment between design, analysis and fabrication of LO components.
- Define and support fabrication processes, QA checks, and build plans for LO skins, coatings, RAM treatments, and attachments; identify and mitigate manufacturability risks, provide LO liaison support to the shop.
- Develop and execute test plans for RCS characterization (anechoic chamber and outdoor ranges), including instrumentation, calibration, and measurement repeatability considerations.
- Prepare and execute data processing workflows to reduce, calibrate, and analyze measured RCS and related EM test data; combine simulation and measurement data for validation and design iteration.
- Produce clear technical documentation: design descriptions, analysis reports, test plans, test reports, procedures, and presentation materials for program reviews.
- Mentor junior engineers and support continuous improvement of LO design, test, and data processing practices.
Working Conditions and Physical Requirements:
- Hands-on support in fabrication or test setups may be required.
- Will require travel to other company locations, supplier facilities, fabrication shops, and test ranges (including anechoic chambers and outdoor ranges).
Basic Qualifications (Required Skills and Experience):
- Bachelor of Science degree in Engineering, Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement
- 7+ years of professional experience working with low observable materials and technologies, including hands-on exposure to LO integration, design, manufacturing, and test.
- Demonstrated experience using computational electromagnetic solvers (e.g., FEKO, HFSS, CST, WIPL-D, CARLOS, SENTRI, XPATCH or equivalent) for design and optimization of LO systems and RCS predictions.
- Strong understanding of electromagnetic principles relevant to scattering, phenomena and Radar Cross Section.
- Proven track record supporting fabrication and testing of LO components/assemblies and correlating measurements to models.
- Proficiency in data processing and analysis of RCS/EM test data, including calibration, clutter and background rejection, and data visualization techniques.
- Excellent technical writing skills with experience producing engineering reports, test plans, and test reports.
- Effective verbal communication and collaboration skills; ability to lead technical discussions and interface with suppliers, customers, leadership and test facility personnel.
- Ability to obtain a Top Secret clearance and Special Program Access (US Only Citizenship required)
Preferred Qualifications (Desired Skills and Experience):
- Advanced degree (MS/PhD) in a relevant discipline.
- Past experience with RCS pole models, and range testing.
- Experience with material characterization techniques.
- Knowledge of LO materials and application processes, as well as nondestructive inspection methods for LO components.
- Familiarity with CAD tools and integration with CEM workflows.
Conflict of Interest:
Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.
Drug Free Workplace:
Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.
The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features:
- Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting
- Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts.
Pay & Benefits:
At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.
Pay is based upon candidate experience and qualifications, as well as market and business considerations.
Summary pay range: $136,850- $185,150
Applications for this position will be accepted until Apr. 01, 2026
Export Control Requirements:
This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.
Export Control Details:
US based job, US Person required
Education
Bachelor's Degree or Equivalent Required
Relocation
This position offers relocation based on candidate eligibility.
Security Clearance
This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active)
Visa Sponsorship
Employer will not sponsor applicants for employment visa status.
Shift
This position is for 1st shift
Equal Opportunity Employer:
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
About Us
Smart Reimbursement Inc. (SRI) is a healthcare finance and analytics firm that provides innovative solutions to reimbursement challenges faced by hospitals. We combine deep policy expertise with advanced data tools to help hospitals.
Our mission is to improve the healthcare industry by leveraging technology to automate and streamline financial reporting processes, enabling hospitals to focus on providing the highest quality of care to patients. Although SRI has been in business since 2011, our culture is more like an early-stage startup, and we prioritize experimentation, innovation, and collaboration.
The Role
We are hiring a Python Data Analyst to deepen ownership of our internal analytics models and improve the reliability and scalability of our delivery engine. This role will focus on preparing data, running internal Python models, troubleshooting issues, and improving performance and automation across workflows.
You will work closely with our delivery leadership and technical subject matter experts to learn existing workflows quickly, then contribute improvements over time.
Responsibilities
- Prepare and shape large healthcare datasets (claims, remits, transactions, reimbursement-related files) for internal Python models.
- Operate and support internal Python models reliably, including troubleshooting and root-cause debugging.
- Work with very large datasets (100M+ rows) and implement pragmatic approaches when standard tools are insufficient.
- Build and maintain efficient data pipelines for recurring and ad-hoc analytics projects.
- Automate data transformation and reporting workflows with clean, reusable code.
- Support the preparation of audit-ready workpapers and other client-ready documentation.
- Participate in internal and client meetings as needed to clarify goals and communicate findings.
- Improve documentation, internal tools, and project templates.
What Success Looks Like
- You can run internal model workflows end-to-end with minimal oversight.
- You can diagnose and resolve issues independently and improve reliability for the broader team.
- You deliver meaningful improvements to performance, automation, and repeatability.
- You are a strong team player who supports delivery execution and reduces friction.
Required Qualifications
- Advanced Python skills (ability to run, own, and improve an analytics codebase, not just write one-off scripts).
- Strong experience working with large datasets and performance constraints.
- Advanced MS Excel skills (complex formulas, pivot tables, data validation, and ability to work with larger datasets).
- Comfort in Jupyter notebooks and reproducible workflows (pandas required).
- Proven debugging ability and strong analytical judgment.
- Experience working with sensitive or regulated data; HIPAA/PHI experience strongly preferred.
- Clear communication and a collaborative working style.
Nice to Have
- Experience with healthcare data or hospital finance/reimbursement workflows
- Familiarity with EPIC healthcare data
- Experience optimizing data workflows (e.g., parquet/arrow, duckdb, polars, dask, spark, databases)
- SQL proficiency
Location, Logistics, and Process
- Nashville Hybrid or Fully Remote.
- Background check required.
- This role involves HIPAA-protected data and requires strict data security practices.
- Interview process includes a Python technical assessment.
Compensation & Benefits
This role offers a base salary of $130,000–$150,000, depending on experience, plus a performance-based bonus. Benefits include health, dental, and vision insurance, and a 401(k) with employer match.
The University of Maryland (UMD) seeks a Manager of Data Analytics Enablement to lead the adoption and modernization of enterprise analytics capabilities that enable trusted, data-informed decision-making across campus.
This is an exciting time to join UMD as we advance enterprise data and analytics through a period of innovative growth and modernization.
This role will play a key part in shaping the future of enterprise business intelligence, advancing Microsoft Power BI and Fabric capabilities, and embedding sustainable data quality and stewardship practices into analytics workflows.
Reporting to the Director of Enterprise Data Services, this position partners with institutional leaders, IT teams, and enterprise stakeholders to deliver reliable data products, consistent metrics, and actionable insights.
The manager will lead a team of data professionals and advance practical, operational governance practices that support trusted analytics and long-term institutional impact.
Key Responsibilities: Lead the strategy, development, and continuous improvement of the university’s enterprise business intelligence environment, including Microsoft Power BI and Microsoft Fabric.
Establish standards, best practices, and architectural patterns for semantic models, dashboards, and analytics delivery.
Guide migration and modernization efforts to ensure scalable, secure, and high-performing analytics solutions.
Develop and manage an analytics intake, prioritization, and delivery framework aligned with institutional priorities.
Define and implement data quality monitoring practices to ensure reliability, accuracy, and consistency of enterprise data assets.
Partner with technical teams to embed validation, monitoring, and observability into data pipelines and lakehouse environments.
Promote consistent metric definitions and collaborate with campus stakeholders to clarify data ownership and stewardship roles.
Support adoption of metadata management, data catalog, and lineage capabilities.
Ensure analytics solutions align with university standards for security, privacy, and responsible data use.
Manage, mentor, and develop a team of analytics and data professionals, fostering a culture of quality, collaboration, and service.
Communicate analytics priorities, progress, and impact to leadership and campus partners.
**This position is considered essential and may be required to work at the normal work location or an alternative location during a major catastrophic event, weather emergency, or other operational emergency to help maintain the continuity of University services.
** **May be required to work evenings, nights, weekends, or different shifts for extended periods.
** KNOWLEDGE, SKILLS, & ABILITIES: Knowledge of data privacy and security principles and practices necessary to protect systems and data from threats.
Knowledge in areas of subject matter expertise such as databases, data modeling, ETL, reporting, data governance practices, metadata management, data stewardship, and/or regulatory compliance.
Skill in SQL or programming/scripting languages (e.g.; Python) used for integrations, data pipelines, report development, and data management.
Skill in adapting communication style to different audiences, including technical, business, and executive stakeholders.
Skill in the use of office productivity software such as Office 365 or Google Workspaces.
Ability to lead presentations and training for large groups.
Ability to manage communications and relationships with technical and business stakeholders.
Ability to collaborate effectively with other Managers, Assistant Directors, and Directors to identify and solve problems, make improvements, and address ongoing issues.
Ability to provide a team with effective direction and support in implementations using standards and techniques that lead to a repeatable and reliable solution.
Ability to ensure documentation standards and procedures are implemented for all team responsibilities.
Ability to define deadlines and manage the quality of the work delivered.
Ability to comprehend and handle interpersonal dynamics, demonstrate empathy towards team members, and effectively manage conflicts or challenging circumstances.
Ability to coach and mentor team members in order to enhance their performance, provide constructive feedback, and support skill development.
Physical Demands: Sedentary work.
Exerting up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects.
Repetitive motion.
Substantial movements (motions) of the wrists, hands, and/or fingers.
The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading.
Minimum Qualifications Education: Bachelor’s degree from an accredited college or university.
Experience: Three (3) years of professional experience supporting the operations, maintenance, and administration of data systems, analytics platforms, or data management programs.
One (1) year leading or supervising professional staff.
Other: Additional work experience as defined above may be substituted on a year for year basis for up to four (4) years of the required education.
Preferences: Demonstrated experience leading business intelligence or enterprise analytics initiatives.
Experience managing or mentoring data professionals in a collaborative team environment.
Strong experience with Power BI and modern data platforms such as Microsoft Fabric, Databricks, or similar cloud-based analytics ecosystems.
Proficiency with SQL and/or Python in support of analytics, data modeling, or data quality initiatives.
Experience implementing or advancing data quality practices, including validation, monitoring, or metric standardization.
Experience supporting practical data governance activities such as establishing shared definitions, coordinating data stewardship, or implementing metadata/catalog tools.
Demonstrated ability to collaborate across diverse stakeholders and translate business needs into scalable analytics solutions.
Strong communication skills with the ability to engage both technical and non-technical audiences.
Experience using Jira or similar tools for work intake, project tracking, and prioritization.
Additional Information: Please note that all positions within the Division of Information Technology (DIT) have an in person component with expected time in our College Park, MD location per week.
Telework is not a guaranteed work arrangement.
Visa Sponsorship Information: DIT will not sponsor the successful candidate for work authorization in the United States now or in the future.
F1 STEM OPT support is not available for this position.
Required Application Materials: Resume, Cover Letter, List of three References Best Consideration Date: March 26, 2026 Open Until Filled: Yes Salary Range: $149,120.00
- $178,944.00 Please apply at: Job Risks: Not Applicable to This Position Financial Disclosure Required: No For more information on Financial Disclosure, please visit Maryland's State Ethics Commission website .
Department: DIT-EE-Enterprise Data Services Worker Sub-Type: Staff Regular Benefits Summary: For more information on Regular Exempt benefits, select this link .
Background Checks: Offers of employment are contingent on completion of a background check.
Information reported by the background check will not automatically disqualify anyone from employment.
Before any adverse decision, the finalist will have an opportunity to provide information to the University regarding disclosable background check information.
The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed.
Employment Eligibility: The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization.
Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment.
EEO Statement : The University of Maryland, College Park is an Equal Opportunity Employer.
All qualified applicants will receive equal consideration for employment.
Please read the University’s Equal Employment Opportunity Statement of Policy.
Title IX Non-Discrimination Notice See above description for requirements
Company Description
Spiras Health delivers personalized healthcare services at home, focusing on patients at high risk of emergency events or hospitalizations. By addressing the unique needs of individuals with chronic diseases, multiple health conditions, and other social determinants of health, Spiras Health enhances quality of life and reduces healthcare costs. Through collaboration with health plan providers and care management teams, the company employs local Clinical Care Teams to deliver tailored home-based care. Leveraging innovative technology, Spiras Health ensures efficient and effective program delivery. For more information, visit .
Who We Are: Excellence, Innovation, Passion, Compassion, Communication
Spiras Health is a value-based, nurse practitioner led clinical provider of care-at-home and other health-related services to individuals with complex and polychronic needs. Spiras’ comprehensive approach to care delivery includes a combination of home-based services, telehealth, two-way digital communications, and remote patient monitoring. Proprietary predictive modeling identifies and assesses individuals with an elevated probability of avoidable costs. Spiras Health then develops actionable plans of care, addresses barriers including social determinants of health and delivers high quality patient care in collaboration with the patient’s treating physicians. Spiras’ innovative multi-modal care approach delivers improved satisfaction and clinical metrics as well as financial savings to its partners, through a geographically and economically scalable delivery model. Our culture is anchored on a promise of full accountability and integrity in everything we do.
How We Serve:
The Senior Data Analyst, in partnership with the Chief Financial Officer and Chief Commercial Officer, will design and develop market and opportunity analysis, monitor and measure contract performance, and model operational strategies and initiatives. Additionally, this role offers opportunity to engage with senior management and business unit leaders, contributing key insights that inform strategic decision making that ultimately supports the company’s growth.
Job Summary:
The Sr Analyst - Data & Analytics owns the integrity, analysis, and interpretation of payer claims data to support performance measurement, utilization management, and value-based care initiatives. This role is hands-on and accountable for claims QA, utilization metrics, and analytics outputs used by clinical, operations, and executive stakeholders.
This is an individual contributor role with strong technical depth in payer claims data and healthcare analytics platforms, including MedeAnalytics.
Key Responsibilities
Claims Data Quality & Governance
- Own QA processes for medical and pharmacy claims data, including eligibility, provider, diagnosis, procedure, and financial fields
- Identify, quantify, and resolve data anomalies (e.g., lag, duplication, missing claims, inconsistent coding)
- Partner with data engineering, vendors, and payers to remediate data quality issues
- Define and maintain claims data validation rules and documentation
Analytics & Utilization Management
- Analyze and report on core utilization metrics, including:
- Inpatient admits / 1,000
- ED visits / 1,000
- Readmissions
- PMPM cost trends
- Length of stay
- Avoidable admissions
- Apply payer benchmarks (national, regional, risk-adjusted where applicable) to contextualize performance
- Support matched cohort, pre/post, and trend analyses
- Translate claims data into actionable insights for clinical and operations teams
Platform Ownership (MedeAnalytics)
- Serve as a power user and analytics owner of the MedeAnalytics platform
- Build, validate, and QA dashboards, reports, and analytic views
- Ensure alignment between platform outputs and internal data models
- Act as internal SME for MedeAnalytics capabilities and limitations
Stakeholder & Team Collaboration
- Partner closely with:
- Clinical leadership
- Operations
- Finance
- Growth
- Present findings to senior leadership in clear, non-technical language
Required Qualifications
- 5–8 years of healthcare analytics experience
- Deep experience working with payer medical and pharmacy claims data
- Strong understanding of utilization metrics and healthcare cost drivers
- Hands-on experience with MedeAnalytics (required)
- Advanced SQL/SAS skills; experience with data visualization tools (Tableau, Power BI, or equivalent)
- Proven ability to QA complex healthcare datasets
- Bachelor’s degree in Analytics, Statistics, Health Informatics, or related field
Preferred Qualifications
- Experience supporting value-based care, MA, D-SNP, or ACO programs
- Familiarity with HEDIS, Stars, or CMS reporting concepts
- Experience with risk adjustment (HCCs)
Physical Requirements:
- Prolonged periods of sitting at a desk and working on a computer.
- This job operates in a hybrid professional environment free from noise and distraction. This role routinely uses standard office equipment such as computers and phones.
- The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.
- Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus.
- While performing the duties of this job, the employee is regularly required to talk and hear.
- This position requires the ability to occasionally lift office products and supplies, up to twenty pounds.
EEOC STATEMENT:
- All qualified candidates will receive consideration for employment without regard to age, race, color, national origin, gender (including pregnancy, childbirth or medical conditions related to pregnancy or childbirth), gender identity or expression, religion, physical or mental disability, medical condition, legally protected genetic information, marital status, veteran status, or sexual orientation.
We are seeking a highly analytical and business-savvy Front-Facing Data Analyst to serve as
the bridge between our data science team and external stakeholders. This role combines strong technical data skills with client communication, strategic insight, and performance optimization expertise.
The ideal candidate is comfortable analyzing complex datasets, translating findings into actionable insights, and presenting results directly to clients, partners, and executive teams.
Key Responsibilities:
Client & Stakeholder Engagement
- Serve as the primary analytics point of contact for clients
- Present performance reports, dashboards, and model insights
- Translate complex statistical results into clear business recommendations
- Participate in strategy calls
Data Analysis & Reporting
- Analyze large datasets to identify trends, risks, and opportunities
- Build and maintain dashboards (Tableau, Power BI, Looker, etc.)
- Monitor KPIs such as approval rates, conversion, fraud indicators, and portfolio performance
- Segment performance by channel, risk tier, geography, or campaign
- Perform root cause analysis on performance shifts
Modeling & Optimization Support
- Work alongside data scientists to interpret model outputs
- Conduct A/B testing and performance experiments
- Identify segments with low performance and recommend optimization strategies
- Validate model deployment performance in production environments
Cross-Functional Collaboration
- Coordinate with underwriting, marketing, risk, and engineering teams
- Assist in translating business requirements into analytical frameworks
- Support compliance and reporting needs where applicable
Required Qualifications
- Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or related
- field
- 2–5+ years of experience in data analytics, preferably in fintech or lending
- Strong proficiency in SQL
- Experience with R or Python
- Experience with BI tools (Tableau, Looker, etc.)
- Excellent communication and presentation skills
- Ability to explain technical concepts to non-technical audiences
Preferred Qualifications
- Experience with underwriting analytics or credit risk modeling
- Familiarity with interpretable ML models (scorecards, gradient boosting, etc.)
- Knowledge of fraud detection metrics
- Experience working in a client-facing or consulting environment
Core Competencies
- Strong analytical thinking
- Business acumen
- Executive-level communication
- Detail-oriented but able to see big picture
- Proactive problem-solving mindset
Job Title: Safety / Red Teaming Data Labeling Analyst III (DLA III)
Company: Meta AI (via Tundra Technical Solutions)
Location: Hybrid – 3 days onsite per week
Pay Rate: $30/hr USD
Experience Required: 4+ years
Contract: 3 months to start (Extension likely)
About the Role
Tundra Technical Solutions is hiring on behalf of Meta AI for a Safety / Red Teaming Data Labeling Analyst III (DLA III) to support AI model development and evaluation. This role is focused on improving model safety, quality, and reliability through data annotation, auditing, and adversarial testing.
You’ll work closely with cross-functional teams to evaluate model outputs, identify risks, and help strengthen safety systems through structured red-teaming efforts.
Key Responsibilities
- Execute high-quality data annotation and evaluation across multi-modal datasets
- Perform QA auditing, including sampling, inter-annotator alignment, and error analysis
- Design and run red-teaming / jailbreak prompts to test model safety across sensitive domains
- Analyze model outputs to identify policy violations, risks, and edge cases
- Apply knowledge of global political systems, events, and actors to inform content evaluation and policy enforcement
- Collaborate with stakeholders to improve labeling guidelines and model performance
Required Qualifications
- 4+ years of experience in data annotation, labeling, or evaluation
- Proven experience with QA auditing methodologies (sampling, alignment, error analysis)
- Hands-on experience with safety-focused red-teaming or adversarial testing
- Strong understanding of US and global political landscapes and current events
- Ability to apply policy frameworks to risk identification and content evaluation
Preferred Qualifications
- Experience working with LLMs (Large Language Models)
- Bachelor’s degree (preferred, not required)
Why Apply?
- Work at the forefront of AI safety and model evaluation
- Opportunity to contribute to large-scale AI systems at Meta AI
- Collaborative, fast-paced, and impactful environment
How to Apply
If you’re interested, please apply directly or share your resume and availability for a screening call at
Job Title: Data Analyst/Scientist
Duration: 12 months | Temporary to Hire
Location: Elgin, IL 60196
Worksite: Remote | 8:00 AM - 05:00 PM
Note: Preferred candidate will reside in Northern IL, but position is open to remote work in any US state (CST time zone).
Department Description
A world leader in the field of professional mobile communications systems with an impressive heritage of technological innovations and a global base of installed systems. The group's main business is the implementation of mission-critical digital mobile communication systems for Government & Public Safety Communications customers.
As a part of the Data Analytics team within the North America - Project Management Office (NA-PMO), you will be partnering with the Clients field organizations, finance, and Information Technology (IT) teams to initiate and support data-informed decision making in the underlying business.
Job Description
Responsibilities:
- Develop reports and dashboard to support various stakeholders such as finance, Procurement, IT and Sales
- Dashboard creation / visualization using Tableau, with Data extracted from Amazon Redshift and Snowflake.
- Perform predictive modeling and forecasting using Python, R and Tableau
- Design, extract and integrate data components from multiple sources, such as Amazon Redshift, Salesforce, Snowflake
- Design, develop, test, and maintain Google App Script projects for various applications within Google Workspace (Docs, Sheets, Forms, etc.)
- Driving and tracking the adoption of dashboards and reports to measure success; iterate as needed
- Detailed data validation to ensure directional accuracy
- Server license management and data access enablement as well as data visualization support
- Manage, update and document processes, websites, and training documentation.
- Drive the development of and deliver training on data sources/tools to enhance the end users' ability to analyze the business
- Ensure the delivery of complex data required to support the needs of predictive Modeling and Analytics
- Perform rigorous testing and post-validation publishing of reports
Basic Requirements
- Bachelor's Degree (Computer Science, Math, or Statistics) or equivalent
- 3+ years of data analytics and reporting experience
Required Skills:
- Excellent data visualization skills
- Solid experience in creating dashboard reporting in Tableau is a must for this position
- Hand-on experience with Tableau, SQL, Salesforce, Python, R, Google App Script, HTML and Power BI are required for this role
- Proficient in Microsoft Excel, Google Sheets and Access. Experience with designing, configuring, automating custom reports within these programs.
- Thorough understanding of data modeling and Extract, Transform, Load (ETL) processes.
Additional Preferred skills
- Experience with Smartsheet development.
- Excellent oral and written communication skills.
- Extremely detail-oriented and organized with a high level of commitment and follow-through.
- Ability to manage multiple priorities in a fast-paced, ever-changing environment.
- A motivated self-starter who can work both autonomously and collaboratively.
- Exceptional problem solving, critical thinking, and project management skills with the capacity and anticipation to adjust based on shifting deadlines and moving priorities.
Why USAA?
At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.
Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful.
The Opportunity
As an Audit Lead, you'll support audit engagements of varying complexity, often participating in cross-functional, risk-based assurance and advisory projects, contributing to the quality of audit work. A key aspect of this role involves testing models and model-related tools as part of audit engagements. You will support Auditor-In-Charge (AIC) responsibilities and maintain knowledge of financial services regulations, effectively responding to and interacting with regulators.
This role provides support and oversight to multiple audit engagements and participates in the review of engagement planning, fieldwork, and reporting. You will also manage strategic initiatives and assist with the development and implementation of a risk-based audit plan. You will serve as, and/or partner with, subject matter expert(s) within audit or the business to analyze issues, establish collaborative client relationships, and proactively work with client management to assess risk and improve internal controls. You will also adhere to the Institute of Internal Auditors' International Standards for the Professional Practice of Internal Auditing (Standards) and Code of Ethics.
We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, or Charlotte, NC.
Relocation assistance is available for this position.
What you'll do:
- Contribute to continuous monitoring, advisory activities, special reviews, and investigations.
- Ensure assigned audit engagements are completed objectively, professionally, and timely, adhering to audit standards.
- Identify control weaknesses and recommend improvements, drafting audit issues and reports for client leadership and conducting follow-up.
- Support quality of audit reviews and propose updates to the universe risk assessment based on audit results.
- Build client relationships to drive strategic objectives.
- Communicate effectively with business/clients, delivering risk-based and difficult messages, and potentially with regulators and executive leaders.
- Provide coaching and guidance to other auditors, ensuring timely and quality deliverables, and may provide engagement evaluations.
- Provide input into the internal audit universe and risk profiles, updating risk assessment information.
- Participate in the development and execution of the annual audit plan, assessing and covering risks.
What you have:
- Bachelor's degree in Business or relevant field such as Finance, Accounting, Business, or Information Technology. Four additional years of related experience beyond minimum required may be substituted in lieu of a degree.
- 8 years of audit, financial, insurance, banking, information technology or related business and/or leadership experience.
- Experience performing internal audits, external audits, or applying audit, risk, or compliance acumen in a complex operational and regulatory environment.
- Broad and comprehensive experience in Audit theory, internal audit principles with demonstrated experience in audit examining, analyzing, assessing, and drawing conclusions from audit work.
- Demonstrated experience effectively communicating and challenging Controls with business partners and influencing business outcomes.
- Understanding of risks and internal controls and the ability to evaluate and determine adequacy and efficiency of controls.
- Experience in a support role, mentoring, and providing feedback to audit team members throughout the audit.
- Experience in overseeing work with both internal and external partners in a highly collaborative environment
- Demonstrated critical thinking and knowledge of data analysis tools and techniques and decision-making abilities.
- Demonstrated experience in highly dynamic environment undergoing change; ability to deal with competing priorities.
What sets you apart:
- AI/ML Knowledge: Comprehensive understanding of AI/ML concepts, lifecycle stages, data sourcing, model types, tools, applications, and model risk management principles.
- AI Risk Management Expertise: Proficient in identifying, assessing, and mitigating risks associated with AI systems (e.g., safety, data integrity, privacy, security, biases).
- Model Risk & Control: Deep knowledge of model risk frameworks and control testing methodologies.
- Regulatory & Governance Expertise: Familiarity with AI-related regulatory guidance (e.g., SR 11-7, OCC 2011-12) and emerging governance principles (e.g., NIST AI RMF, ISO/IEC 42001, EU AI Act).
- AI Explainability & Transparency: Ability to evaluate interpretability techniques for regulatory and business transparency.
- Emerging Technology Awareness: Awareness of generative AI, LLMs, and automated decisioning frameworks to assess evolving risks and adapt audit techniques.
Compensation range: The salary range for this position is: $143,320 - $273,930
USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).
Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.
Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
For more details on our outstanding benefits, visit our benefits page on .
Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.
USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Support Center - Irving
The Manager – Data Science role is critical in helping to determine which CRM tactics most effectively drive long-term value with our customers. The ideal candidate will creatively apply advanced analytic techniques, ranging from DOE to predictive models and machine learning, that will both articulate business impact and optimize marketing spend. Clear communication of complex analyses and the ability to tell a story with data are critical to succeed in this role.
Major Activities
- Strategic Thought Leadership
- Design and execute analytics projects to quantify impact from various marketing campaigns
- Work with business partners to identify the challenges that needs to be quantified
- Act as subject matter expert for all projects in which involved
Data Analytics
- Mine extensive database in support of business insights and measurement
- Develop well-thought, actionable insights using advanced analytics techniques
- Determine best approach for each analysis and articulate pros/cons of methodology
- Ensure quality of data used in analysis and all presentation material
- Effectively manage multiple projects simultaneously, from long-term projects to shorter, ad-hoc projects
- Automate standard deliverables and reduce repetitive processes for self and team
Business Insights & Cross Functional Partnerships
- Manage internal client relationships and serve as the SME for analytics within the CRM function
- Tell a story with data: gain buy-in from partners through the development and communication of compelling, easily understood analytics presentations
- Provide strategic recommendations based on analyses tied to the organization’s goals that will drive business results
- Effectively communicate with analytics team members and business partners with varying levels of understanding regarding analytics discipline
Staff Management & Development
- Manage a team of data scientists
- Mentor analysts regarding analytics best practices, methodologies, and programming techniques
- Develop objective staff development strategies, effectively growing the capability sets of team and guiding analysts on their career advancement
Other duties as assigned
Minimum Knowledge/Skills/Abilities
Minimum Education
- Bachelor’s degree in relevant quantitative field required, Master’s preferred
Minimum Special Certifications or technical skills
- Fluent in data fundamentals: SQL, data manipulation using a procedural language (R, Python), statistics, experimentation, and modeling
- Proven track record of using data to provide actionable business results
Minimum Type of experience the job requires
- A minimum of 5 years of relevant work experience in data science for a consumer centric company
- Proven experience partnering with business decision makers on advanced analytics topics
- Expert-level experience with a wide range of quantitative methods that can be applied to business problems. This includes knowledge of modeling techniques and statistical concepts
Other
- Work as a self-starter, not waiting for direction from senior leadership
Preferred Education
- Advanced degree preferred in an analytical field (e.g. Statistics, Economics, Applied Math, Operations Research, Physics, Data Science fields)
Applicants in the U.S. must satisfy federal, state, and local legal requirements of the job.
At The Michaels Companies Inc., our purpose is to fuel the joy of creativity and celebration. As the leading destination for creating and celebrating in North America, we operate over 1,300 stores in 49 states and Canada and online at and . The Michaels Companies, Inc. also owns Artistree, a manufacturer of custom and specialty framing merchandise. Founded in 1973 and headquartered in Irving, Texas, Michaels is the best place for all things creative. For more information, please visit Michaels, we prioritize the wellbeing of our teams by providing robust benefits for both full-time and part-time Team Members. Our benefits include health insurance (medical, dental, and vision), paid time off, tuition assistance, generous employee discounts, and much more. For more information, visit is an Equal Opportunity Employer. We are here for all Team Members and all customers to create, innovate and be better together.
Michaels is committed to the full inclusion of all qualified individuals. In keeping with this commitment, Michaels will assure that people with disabilities are provided reasonable accommodations. Accordingly, if a reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the job, and/or to receive all other benefits and privileges of employment, please contact Customer Care at 1-8 MICHAEL).
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