Tenacity Python Jobs in Usa

Work type: FTE

Contract B2B

Language: English

Contract Duration: 6 to 12 months

Job Summary

We are seeking a knowledgeable Mac Specialist with strong experience in macOS to support, configure, and maintain Apple devices within the organization. The candidate will provide technical assistance, troubleshoot issues, and ensure smooth operation of Apple systems.

Key Responsibilities

Install, configure, and maintain macOS on Apple devices such as MacBook Pro, MacBook Air, and iMac.

Troubleshoot hardware and software issues related to macOS systems.

Manage user accounts, system permissions, and device configurations.

Install and update applications on Mac systems.

Provide technical support to employees using Apple devices.

Manage system updates, backups, and security settings.

Assist with device deployment and configuration.

Support integration with enterprise tools like Microsoft Office and Google Workspace.

Required Skills

Strong knowledge of macOS administration and troubleshooting.

Experience working with Apple hardware and software.

Basic knowledge of Unix / Linux commands.

Understanding of networking concepts (Wi-Fi, VPN, printers).

Good problem-solving and communication skills.

Preferred Skills

Experience with device management tools like Jamf Pro.

Knowledge of scripting (Bash or Python).

Experience supporting Mac users in enterprise environments.

Loloi Rugs is a leading textile brand that designs and crafts rugs, pillows, and throws for the thoughtfully layered home. Family-owned and led since 2004, Loloi is growing more quickly than ever. To date, we’ve expanded our diverse team to hundreds of employees, invested in multiple distribution facilities, introduced thousands of products, and earned the respect and business of retailers and designers worldwide. A testament to our products and our team, Loloi has earned the ARTS Award for “Best Rug Manufacturer” in 2010, 2011, 2015, 2016, 2018, 2023, and 2025.

Security Advisory: Beware of Frauds

Protect yourself from potential fraud and verify the authenticity of any job offer you receive from Loloi. Rest assured that we never request payment or demand any sensitive personal information, such as bank details or social security numbers, at any stage of the recruiting process. To ensure genuine communication, our recruiters will solely reach out to applicants using an @ email address. Your security is of paramount importance to us at Loloi, and we are committed to maintaining a safe and trustworthy hiring experience for all candidates.

We are building a Business Operations Center of Excellence, and we need a Product Data Analyst to serve as the "Guardian of the Golden Record." In this role, you are the absolute owner of product data integrity as it relates to the digital customer experience. You ensure that every item we sell is accurately represented across every touchpoint—from our ERP and PIM to our website storefront and marketing feeds. This is not a data entry role; it is a high-impact technical logic and investigation role. You will work directly with our Data Platform and Software Engineering teams to define business rules, audit data health via complex SQL, and troubleshoot data transmission errors before they impact the customer.

Responsibilities

• Storefront Governance: Serve as the absolute owner of product data integrity within the PIM. Ensure that all storefront-critical attributes (pricing, dimensions, weights, image links) are accurate and standardized for a seamless customer experience.
• Technical Data Auditing: Write and run complex SQL queries against our centralized database to identify anomalies, "orphan" records, and data hygiene issues that need resolution. You will be expected to query across multiple schemas to validate data consistency between systems.
• Feed Logic & Mapping: You will manage the logic of how data translates from our PIM to external endpoints. You will ensure that our products appear correctly on Google Shopping, Meta, Amazon, and other marketplaces by managing feed rules and mapping definitions.
• API Payload Analysis: You will act as the first line of defense for data transmission errors. If a product isn't showing up on the site, you will review the JSON/XML response bodies to determine if it is a data payload error or a software code bug.
• Cross-Functional Impact Analysis: You will act as the gatekeeper for data changes, predicting downstream impacts (e.g., "If Merchandising changes this Category Name, it will break the Finance reporting filter").
• Hygiene Logic Definition: You will partner with our IT/Database team to define automated health checks. You identify the "rot" (bad data patterns), and they implement the database constraints to stop it.

What You Will NOT Do (The Boundaries)

• No Web Development: You are not a Front-End Developer. You do not write HTML, CSS, or React code. You ensure the data powering those components is 100% accurate.
• No Manual Data Entry: Your job is not to copy-paste descriptions. You build the systems, bulk processes, and logic that ensure data quality at scale.
• No Database Administration: You do not manage server uptime or schema changes (IT owns this). You own the quality of the records inside the database.

Intersection with Technical Teams

• With IT (Database Mgmt): IT owns the infrastructure and schema; you own the quality of the data within it. When you identify a systemic issue (e.g., "5,000 orphan records"), you partner with IT to implement the technical fix (scripts/constraints).
• With Software Engineering (Commerce): If a product is missing from the site, you check the data payload. If the data is correct, you hand off to Engineering, confirming it is a code/caching bug rather than a data error.

Experience, Skills, & Ability Requirements

• 5-8 years of experience in Data Management, PIM Administration, or technical eCommerce Operations.
• SQL Proficiency: You are comfortable writing queries beyond simple SELECT *. You should be proficient with CTEs (Common Table Expressions), Window Functions (e.g., Rank, Lead/Lag), Subqueries, and complex Joins to act as a forensic data investigator.
• API Fluency: You can read and understand JSON and XML. You know what a valid payload looks like and can spot formatting errors or missing keys.
• Data Manipulation: You are an expert at handling large datasets (CSVs, Excel) and understand data types, formatting standards, and normalization concepts.
• You love hunting down the root cause of an error. You don't just fix the wrong price; you find out why the price was wrong and build a rule to stop it from happening again.
• You have high standards for accuracy. You understand that a wrong weight in the system means a financial loss on shipping for the business.

Bonus Points (Nice-to-Haves)

• Familiarity with Visio/Lucidchart to visualize data flows.
• Ability to build simple dashboards in Tableau to track data health scores.
• Basic familiarity with Python or R for data manipulation.

What We Offer

• Health, dental, and vision benefits
• Paid parental leave
• 401(k) with employer match
• A culture of meritocracy that fosters ongoing growth opportunities
• A stable, growing family-owned company that looks after its employees

Loloi Rugs does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. We seek a diverse pool of applicants and consider all qualified candidates regardless of race, ancestry, color, gender identity or expression, sexual orientation, religion, national origin, citizenship, disability, Veteran status, marital status, or any other protected status. If you have a special need or disability that requires accommodation, please let us know.

Role - Lead Data Analyst

Location : Denver, CO [Local Only] In-person client interview

Job Summary

This role is responsible for extracting meaningful information and providing the business with actionable recommendations to drive outcomes. Responsible for leveraging existing data sources and creating new analysis methods.

Major Duties And Responsibilities

• Actively and consistently supports all efforts to simplify and enhance the customer experience.
• Lead client teams to define clear business requirements for data analysis projects.
• Provide metrics definition, data visualizations, and ETL requirements.
• Extract, clean and engineer data to be ready for analysis.
• Interpret data, formulate hypotheses and develop an analytical approach to meet business requirements
• Create customer-readable reports using advanced visualization tools such as Tableau, PowerBI, Excel, etc.
• Work to obtain and ingest new reference data sources required to deliver on business need.
• Communicate results and make recommendations using data visualization and presentations.
• Create analyses and dashboards that are usable, elegant and industry leading.

Required Qualifications

• Ability to read, write, speak and understand English
• Demonstrated in-depth ability to analyze, interpret and present data
• Demonstrated in-depth ability to make decisions and solve problems while working under pressure
• Demonstrated in-depth ability to prioritize and organize effectively
• Demonstrated mastery of advanced analytics processes and reporting design principles
• Demonstrated mastery in SQL, Python, or R
• Demonstrated in-depth proficiency of design and implementation practices within data visualization tools
• Effective communication skills, verbal and written, for internal and external customers
• Ability to communicate complex technical concepts to all levels of an organization to aid in decision-making

Required Education

• Bachelor's degree in Computer Science, Engineering or related field; or equivalent experience

Required Related Work Experience and Number of Years

• 7+ years’ experience working within a data platform/data analysis environment
• 7+ years’ experience in a customer facing products/services environment
• Technical Lead, exp in more industries, more expert than Data Insight Analysts

Are you passionate about learning, data, scale, and agility?

We’re looking for motivated professionals who love turning complex data into meaningful insights and business value. If collaboration, innovation, and problem-solving excite you — let’s connect!

What You’ll Do

• Analyze raw data: assess quality, cleanse, and structure for downstream processing
• Design accurate and scalable prediction algorithms
• Collaborate with engineering teams to bring analytical prototypes to production
• Generate actionable insights that drive smarter business decisions

What We’re Looking For

• Bachelor’s degree (or equivalent experience) in a quantitative field — Statistics, Mathematics, Computer Science, Engineering, etc.
• 1–2 years of experience in quantitative analytics or data modeling
• Strong grasp of predictive modeling, ML algorithms, clustering, and classification techniques
• Proficiency in at least one programming language: Python, C, C++, Java, or SQL
• Familiarity with Big Data frameworks (Hadoop, Spark, Cassandra) and visualization tools (Tableau, Power BI, etc.)

Who Are We?

We are a premier IT consulting firm specializing in delivering top-tier Data Science solutions to companies across various sectors such as finance, energy, e-commerce, logistics, travel, retail, entertainment, automotive, and healthcare.

Company Highlights:

• Our Specialization: Providing IT consulting services.
• Experience: Over 25 years of combined domestic and international expertise in IT consulting serving hundreds of Fortune 1,000 and innovative startup clients.
• Interested in accelerating your tech career through career-enhancing IT consulting experience? Do you meet the required qualifications? If so, apply today! We look forward to hearing from you.

About Us

Joulea is a startup building a software platform that reduces energy consumption in commercial buildings. Buildings consume 40% of the total energy in the United States and emit over 10% more greenhouse gas emissions than the entire transportation sector combined - vehicles, trucks, aircraft, rail and ships. A significant portion of commercial building budgets are spent and wasted on energy usage. We use the aerospace industry’s product lifecycle management principles in order to create a novel approach to apply them to commercial real estate. Joulea implements holistic, integrated optimization methods that redefine energy efficiency and reduce operating costs within commercial buildings.

We are an ATDC portfolio company backed by wemarathon with offices at ATDC in Midtown Atlanta.

Position Overview

We are seeking a Systems Integration Engineer to join our team. The ideal candidate will be responsible for designing, implementing, and maintaining integration solutions that enhance our systems' interoperability and efficiency. You will work closely with cross-functional teams to ensure seamless data flow between various applications and devices. We are looking for an expert with strong coding/analytic skills, someone who can bridge simulation, building science, and automation.

Key Responsibilities

• Own the building data onboarding process, including coordinating with controls vendors and site teams to request, clarify, and validate point lists, metadata, and system information.
• Perform BACnet exports and point scans across different BMS platforms, with a clear understanding of device structures, object types, units, and system context for diverse HVAC configurations.
• Review and interpret control sequences, control drawings, and mechanical drawings to understand system intent and accurately map physical equipment to database entities.
• Support and refine automated point tagging and semantic mapping workflows using Volttron, addressing edge cases across varying HVAC system types and control strategies.
• Contribute to fault detection and diagnostics (FDD) development by helping define, implement, and validate fault rules based on onboarded building data.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proven experience in systems integration engineering or a similar role.
• Strong programming skills in Python, C# and experience with BACnet protocols.
• Familiarity with API development and integration.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and the ability to work collaboratively in a team environment.

Be the one who makes a difference!

At Vertex Education we are a team of high achievers, courageous leaders, and passionate believers in changing lives through education. As a purpose-led education services provider, our mission is destined to benefit many and yet it starts with just one person inspired to work together with us to make a memorable and meaningful difference for our clients, schools, students, and communities. Be the one who makes a difference—with us.

The Marketing Analytics Analyst supports Legacy Traditional Schools by transforming marketing and enrollment data into actionable insights that improve student recruitment and family engagement. This role integrates data from multiple platforms, develops clear and effective dashboards, and delivers analysis that helps the marketing team make smarter, faster decisions.

Reporting to the Director of Business Intelligence, the Marketing Analytics Analyst serves as a strategic partner to marketing leadership by improving data quality, clarifying performance metrics, and identifying opportunities to optimize campaigns, resource allocation, and enrollment outcomes. This role helps ensure marketing efforts are measurable, efficient, and continuously improving so more families can find and connect with the educational opportunities Legacy provides.

Essential Functions:

1. Marketing Data Management and Governance:

• Collect, integrate, and validate data from web analytics, CRM, paid media, SIS, application, and marketing automation platforms.
• Own and maintain marketing data integrations and reporting workflows across tools such as Google Analytics, HubSpot, SchoolMint, and student information systems.
• Define, document, and maintain standardized marketing metrics, reporting logic, and data governance practices.
• Ensure marketing data is accurate, consistent, and reliable across platforms and reporting outputs.

2. Marketing Analytics and Insights:

• Analyze campaign performance, audience behavior, lead flow, and enrollment conversion trends to identify actionable opportunities.
• Design, support, and evaluate A/B tests to improve campaign effectiveness and inform future strategy.
• Develop forecasts related to lead volume, conversion, enrollment trends, and marketing performance.
• Track and interpret key performance metrics such as cost per lead, conversion rates, application yield, and enrollment outcomes.
• Translate complex data into clear insights and practical recommendations for marketing and business leaders.

3. Reporting and Visualization:

• Build, maintain, and enhance dashboards and reports that communicate marketing performance to stakeholders.
• Automate recurring reporting processes to improve efficiency, reduce manual effort, and increase accuracy.
• Tailor reporting views and analyses to meet the needs of marketing leadership and cross-functional partners.
• Present findings in a clear, compelling, and decision-oriented manner.

4. Financial and Performance Analysis:

• Monitor campaign budgets, pacing, and performance against plan.
• Evaluate the return on investment of paid media and broader marketing initiatives.
• Identify opportunities to improve efficiency and maximize enrollment impact per dollar spent.
• Partner with marketing leaders to refine strategy based on financial, operational, and performance data.

5. Continuous Improvement and Innovation:

• Stay current on marketing analytics tools, trends, and best practices.
• Recommend and implement process improvements, tools, and analytical approaches that strengthen marketing decision-making.
• Identify opportunities to streamline internal workflows, improve reporting usability, and increase data accessibility.
• Support ongoing innovation in marketing measurement and analysis to better advance student recruitment goals.

Required Qualifications:

• Bachelor’s degree in Marketing, Data Analytics, Statistics, Business, or a related field.
• Minimum of 3 years of experience in marketing analytics, campaign analysis, business intelligence, or a related data-focused role.
• Proficiency in SQL and at least one programming language, such as Python or R.
• Hands-on experience with web analytics platforms, CRM systems, and marketing automation tools.
• Experience with data visualization and reporting tools such as Tableau, Power BI, Looker, or similar platforms.
• Strong understanding of data quality, governance, and metric standardization best practices.
• Demonstrated ability to synthesize data into actionable business insights and communicate findings effectively to non-technical stakeholders.

Preferred Qualifications:

• Certifications in Google Analytics, HubSpot, or related marketing analytics platforms.
• Experience with student information systems such as Infinite Campus or PowerSchool.
• Experience with application or enrollment platforms such as SchoolMint.
• Familiarity with paid media, programmatic advertising, and digital campaign measurement.
• Advanced Excel skills, including modeling, scenario analysis, and data manipulation

Be excited to be a part of our team and grow your career with us!

Be the one who enables us to positively impact over 258,000 students across multiple states while driving our growth forward so we can enrich even more lives. Be the one who helps us achieve excellence for over 226 schools that we support with academics, finance, technology, human resources, communications, marketing, facilities, construction, and food services. Be the one who is a diverse thinker, a team player, a smart risk taker, an innovator, and a difference maker by encouraging others to climb higher and reach farther to further education.

• Be yourself surrounded by wonderful people who care about you, value your unique skills, and lift you up.
• Be supported in your work by caring leaders and team members who want you to succeed.
• Be empowered to make a difference and climb higher and reach farther to change lives through education.
• Be well in all aspects of your life from your physical, mental, and emotional wellbeing to your finances.
• Enjoy industry-leading pay, rewards, referral bonuses, with unlimited flexible paid time-off for performance.
• Be able to care for your health and your family with comprehensive medical, dental and vision benefits and invest in your future with 401(k) plans with a 6% employer match on your contributions.
• Enhance your growth and development with mentoring and money to take training classes.
• Thrive in a welcoming, supportive, and inclusive environment where we treat others with fairness and respect, celebrate diversity, and elevate equality and inclusion as an equal opportunity employer.

Be the one who makes a difference!

With an innovative mind, a hungry heart, and engaging spirit you can change lives through education. Be a part of Vertex Education and let’s make a difference together. Apply Today!

Information Security Analyst (SOC / Security Operations)

Nashville, TN (Hybrid – 2–3 days onsite)

Long-Term Contract Opportunity

We are seeking an Information Security Analyst to join a high-performing cybersecurity team supporting a large enterprise environment. This role serves as a critical “front line” function—monitoring, investigating, and responding to security events while ensuring risks are addressed quickly and effectively.

This is an excellent opportunity for a junior-to-mid level security professional to gain hands-on experience across SIEM, endpoint security, and enterprise security operations within a highly visible environment.

Key Responsibilities

• Monitor and investigate alerts and indicators of compromise across multiple security platforms
• Triage, escalate, and document security incidents in accordance with response procedures
• Analyze logs and perform structured queries within SIEM tools to support investigations
• Assist with vulnerability analysis and remediation tracking
• Support reporting, documentation, and audit-related activities
• Monitor security tool health and escalate system issues as needed
• Collaborate with internal stakeholders on security-related requests and incident response

Required Qualifications

• 2+ year of experience in Information Security, Cybersecurity, or Security Operations
• Hands-on experience with security technologies such as:
• SIEM platforms (Splunk, QRadar, LogRhythm, or similar)
• Endpoint detection and response (EDR)
• Firewalls and intrusion detection/prevention systems
• Malware protection and vulnerability scanning tools
• Experience investigating and triaging security alerts
• Understanding of network security concepts and protocols (TCP/IP, OSI model, DNS, HTTP, etc.)
• Familiarity with Windows and Linux system logs
• Ability to clearly document investigations and communicate findings

Strong analytical and troubleshooting skills

Preferred Qualifications

• Associate's or Bachelor's degree in Computer Science, Information Security, MIS, or related field
• Experience working in a SOC or security monitoring environment
• Familiarity with:
• Security incident response processes
• Log analysis and threat detection techniques
• Endpoint, network, cloud, and data security tools
• Basic scripting knowledge (Python, Bash, or PowerShell)
• Knowledge of compliance frameworks such as NIST, HIPAA, HITRUST, or PCI
• Security certifications such as CompTIA Security+, SANS, or Cisco security certifications

Work Environment

• Hybrid schedule (2–3 days onsite in downtown Nashville)
• Long-term contract engagement (potential for extension or conversion based on performance)

Role: GRC Engineer (OneTrust / NIST) - Mid

Location: Plano, Texas (Hybrid)

Duration: Long Term Contract

Description

We are seeking a hands‑on GRC Engineer & Risk Analytics professional who will implement and scale a NIST‑aligned control and risk framework in OneTrust while also conducting targeted risk and control assessments to validate design and operating effectiveness. Reporting to the TFSB CISO, you will connect process, data, and automation so department leaders can see—and reduce—risk in near‑real time through role‑based dashboards and scorecards. You’ll partner with Security Engineering, IT, Audit, and business control owners to streamline assessments, evidence collection, POA&M tracking, and reporting.

Focus split: approximately 70% OneTrust configuration, integrations, data modeling, and dashboards; approximately 30% targeted assessments and facilitation.

Module ownership on Day 1: OneTrust Integrated Risk Management (IRM) and Third‑Party Risk Management (TPRM).

What you’ll be doing:

Model the control framework in OneTrust: map NIST CSF and NIST 800‑53 control families, control objectives, test procedures, evidence types, and ownership.

Configure assessment templates (application/infrastructure, inherent/residual risk, third‑party due diligence, control attestations) with automated workflows, notifications, and approvals.

Stand up a POA&M lifecycle (defect creation, risk acceptance, due dates, escalations, verifications) and connect to tickets for remediation traceability.

Build role‑based dashboards and departmental scorecards that surface KRIs/KPIs (e.g., control coverage, overdue actions, risk heatmaps, SLA adherence).

Establish data taxonomy and metadata (assets, business processes, data classifications) aligned to controls and obligations to support consistent analytics.

Own the end‑to‑end third‑party risk workflow in OneTrust: inherent risk profiling, tiering, questionnaire selection, and residual risk calculation.

Design and maintain due‑diligence questionnaires and control attestations; streamline evidence collection and follow‑ups via automated reminders and SLAs.

Track remediation and POA&Ms for vendors; manage risk acceptances, exceptions, and expirations with clear ownership and timelines.

Publish vendor scorecards and portfolio‑level insights for department leaders; highlight concentration risk, critical suppliers, and overdue actions.

Integrate TPRM data with IRM objects (assets, processes, controls) to show end‑to‑end exposure and dependencies.

Integrate OneTrust with CMDB, Risk reporting platforms to auto‑enrich risks, controls, and assets.

Define data quality rules and reconciliation checks; implement connectors or API jobs to keep dashboards near‑real‑time and reduce manual evidence collection.

Partner with Analytics to publish curated Power BI datasets for executives and technical teams.

Conduct spot assessments and control testing to validate design and operating effectiveness and calibrate automation.

Translate FFIEC/GLBA/SOX and policy requirements into measurable controls and department‑owned obligations; document rationales and residual risk.

Facilitate remediation planning with control owners; track POA&Ms and risk acceptances to closure with clear RACI and deadlines.

Create playbooks, test scripts, and user guides; run enablement sessions for control owners and assessors to drive adoption.

What you’ll deliver in the first 6–12 months:

A fully modeled NIST-aligned control catalog in OneTrust IRM and TPRM, complete with owners, testing procedures, evidence, and mapped obligations.

3–5 data integrations operational (for instance, CMDB, Archer, Posture Management) enabling automated evidence and asset-to-control mapping.

Departmental scorecards along with an executive dashboard (showing trendlines, heatmaps, top risks, overdue actions, and risk reduction by department).

Enhanced assessment throughput with a reduced cycle time (targeting a 30–40% improvement from baseline).

Improved on-time completion of POA&M (targeting an increase of 20–30%) with a decrease in repeat findings through structured root-cause identification.

Published and operational governance framework artifacts (including a governance calendar, defined roles, training materials, and standard operating procedures).

Requirements:

• 5+ years hands‑on experience implementing/administering GRC platforms (OneTrust preferred; Archer/ServiceNow GRC acceptable with commitment to OneTrust ramp‑up).

• Working knowledge of NIST CSF and NIST 800‑53 and how to translate obligations into measurable controls and tests.

• Experience configuring questionnaires, workflows, object models, APIs, and building role‑based dashboards.

• Data skills in Power BI, SQL, or Python for data prep/transformations that feed analytics.

• Ability to tell the risk story—translate technical signal into business‑relevant insights for department leaders.

• Bachelor’s degree or equivalent practical experience.

Added bonus if you have:

• OneTrust GRC/IRM certifications; CRISC, CISA, or CISSP.

• Prior integrations with ServiceNow, Jira, SailPoint/IDP, Qualys/Tenable, or cloud platforms (AWS/Azure).

• Experience setting up control attestation/evidence automation and KRI/KPI scorecards across business units.

• Background in financial services or familiarity with FFIEC/GLBA/SOX supervisory expectations.

Healthcare Business Intelligence & Analytics Analyst -Information Technology

Location:

620 Foster Avenue Brooklyn, NY 11230

Hours:

Full Time

Premium Health Center, a rapidly growing FQHC in Brooklyn, is seeking a detail-oriented and analytical Business Intelligence (BI) Analyst to join our growing Data & Analytics team. This role blends data analysis with light data engineering to build robust data pipelines, deliver actionable insights, and create high-quality reporting and analytics. The BI Analyst will play a key role in transforming raw data into actionable insights that will directly inform strategic, clinical, operational, and financial decisions across the organization.

Time Commitment:

Full Time, Hybrid Eligible

Responsibilities:

Analytics, Visualization & Storytelling

· Design, develop, and maintain dashboards, reports, and data visualizations in Power BI (or similar tools)

· Apply data visualization and storytelling best practices to create intuitive, user-friendly dashboards.

· Translate complex healthcare data into clear, actionable insights that support decisions for clinical, operational, finance, and executive teams.

· Develop and maintain semantic data models, KPIs, and performance metrics aligned with FQHC goals.

· Collaborate with stakeholders to gather requirements and recommend effective analytical and visual solutions.

· Analyze healthcare data from EHR systems (e.g.,eClinicalWorks, Office Practicum, etc) and other sources to identify trends, gaps, and opportunities for improvement.

· Support UDS (Uniform Data System) reporting and other regulatory compliance requirements.

· Create sustainable reporting frameworks for recurring healthcare and operational metrics.

Data Engineering &Pipeline Support

· Build and maintain light ETL and data integration tasks using SQL, APIs, and scripting tools.

· Write and optimize SQL queries to support analysis, dashboards, and data pipelines.

· Perform data wrangling, cleaning, validation, and transformation to prepare datasets for analysis and reporting.

· Ensure data integrity, accuracy, and security in all reporting and data engineering workflows.

· Perform data validation, reconciliation, and root-cause analysis for data quality issues.

Collaboration and Data Literacy

· Collaborate with clinical, operational, and executive teams to understand business needs and translate them into technical solutions.

· Provide training, documentation, and support to improve data literacy and promote appropriate self-service use of organizational dashboards.

· Collaborate with IT and data teams on architecture, governance, and data quality initiatives.

Requirements:

· Bachelor's degree in Data Science, Public Health, Health Informatics, Computer Science, ora related field.

· 4+years of experience in a BI, data analyst, or similar role, preferably in a healthcare or FQHC setting.

· Strong proficiency in SQL, including complex joins, window functions, and data transformations

· Hands-on experience with Power BI, or similar BI platform, including DAX, data modeling, and visualization design.

· Experience working with scripting languages (Python, R, etc) and APIs to support data integration and automation.

· Experience with semantic data modeling in Power BI.

· Strong analytical, critical thinking, and problem-solving skills.

· Excellent communication and data storytelling skills with the proven ability to present insights to non-technical audiences.

· Detail oriented with strong data troubleshooting and validation skills.

· Highly organized, with the ability to manage multiple tasks and deadlines.

· Self-starter who works independently and collaboratively.

· Ability to partner cross-functionally across clinical, operational, financial, IT, and data teams.

· Fast learner with adaptability to evolving tools and organizational needs.

· Strong commitment to high standards of data quality, accuracy, and confidentiality.

· Familiarity with HIPAA or other similar data privacy standards.

Preferred:

· Experience with Microsoft Azure, Fabric, Purview, or similar cloud platforms.

· Experience with Power Automate or similar tool for basic workflow automation.

· Familiarity with Git or similar version control tools.

· Experience with EHR systems (eCW, Office Practicum, etc,).

· Understanding of healthcare data, including clinical, operational, and financial metrics.

· Experience with UDS reporting or other healthcare regulatory or quality metrics.

Compensation:

$110,000 - $145,000, commensurate with experience

Benefits:

· Medical, Dental, Vision and Life coverage

· Paid Time Off and holidays

· Employee Assistance Program

· Flexible spending account

· Public Service Loan Forgiveness (PSLF), NHSC Loan Repayment Program

· 403(b) Retirement Plans with employer matching

The Advanced Aortic Imaging for Clinical and Translational Research (AAI-CTR) lab at UW–Madison is hiring a Postdoctoral Research Associate to develop and validate next-generation imaging biomarkers for aortic disease. If you want your algorithms to change how patients are monitored and treated, not just generate papers (although there is plenty of that too), this is the role.

Why This Lab:

Our group has built several image analysis techniques that have completely changed how we view aortic disease. Specifically, vascular deformation mapping (VDM) is a technique that detects aortic deformation patterns invisible to conventional diameter measurement, and we are actively translating it from research tool to clinical product. Our work sits at the intersection of deep learning, image registration, and clinical decision-making, with active industry partnerships aimed at commercializing the methods we develop. Former trainees have moved into competitive industry positions, co-developed new IP, and gone on to train at other top-tier programs. This is a lab where technical innovation and clinical impact are not separate goals.

What You’ll Do:

Algorithm & Pipeline Development

• Design, train, and validate DL/ML models for aortic CT and MRI (segmentation, registration, shape/growth modeling, VDM pipelines).
• Build and optimize image-based pipelines for longitudinal aortic surveillance using large, multi-center datasets.
• Benchmark algorithms against clinical reference standards; lead external validation and reproducibility testing.

Clinical Translation

• Collaborate directly with cardiovascular surgeons, cardiologists, and radiologists to define clinically meaningful performance targets.
• Advance investigational tools toward real-world use: workflow integration, reliability testing, and documentation aligned with regulatory and commercial pathways.
• Apply novel analysis methods to large patient populations (UW and multi-center cohorts) to generate evidence that supports clinical adoption.

Data & Project Leadership

• Curate, organize, and manage large clinical imaging datasets and associated outcomes data.
• Mentor and collaborate with trainees across clinical, engineering, and physics backgrounds.
• Lead manuscript preparation, conference abstracts, and presentations; build your independent publication record.

Required Qualifications

• Ph.D. (or equivalent) in Biomedical Engineering, Electrical/Computer Engineering, Computer Science, Medical Physics, or a closely related quantitative field.
• Hands-on experience with medical image analysis on CT and/or MRI.
• Strong AI/DL skill set: proficiency in Python and common ML/DL frameworks (PyTorch, TensorFlow); experience training and evaluating models on large imaging datasets.
• Experience with core medical imaging tasks: segmentation, registration, or 3D model/shape analysis, transfer learning. Interest in deformation or longitudinal analysis is a plus.
• Track record of scientific productivity (peer-reviewed publications, conference papers) and strong written/oral communication.
• Genuine interest in clinical translation, meaning building tools clinicians will actually use, not just publishing methods papers.

Preferred

• Prior work with vascular or cardiovascular imaging (aorta, aneurysm/dissection, cardiac CT/MR).
• Experience with image registration or statistical shape/deformation modeling.
• Familiarity with database tools and good data engineering practices for imaging research.
• Comfort working in multi-disciplinary teams and collaborating closely with clinicians.
• Creative, independent problem-solving mindset: able to prototype, test, and iterate quickly.

Commitment & Environment

We are looking for someone who can commit to at least 18–24 months. Meaningful translational research takes time: developing a method, validating it rigorously, and publishing the results is not a short-term endeavor. In return, you will work in a highly collaborative environment spanning Radiology, Surgery, Cardiology, and Medical Physics at UW–Madison, with direct access to large clinical datasets and a PI who is invested in your long-term career trajectory.

Work Authorization

Candidates who already hold valid U.S. work authorization are preferred, including F-1 OPT and STEM OPT. We are open to sponsoring H-1B visas for exceptional candidates, though candidates who do not require immediate employer-sponsored work authorization will have an advantage given current processing timelines.