Data Analyst Skills Examples Jobs in Usa

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Job opportunity for Senior Data Analyst with a Music Company. I ‘ll include the description below for your review- If you feel interested feel free to a apply.

Job Title: Senior Data Analyst

Location: San Francisco, CA(Hybrid)

Duration: 6-12 Months(Possible Extensions)

Pay $70 per hr on w2.

Role Overview

We are looking for a Senior Data Analyst with a strong investment banking background and experience in M&A modeling. This role will support financial analysis, deal evaluation, and strategic decision-making through data-driven insights.

Key Responsibilities

• Build and maintain financial and M&A models.
• Support potential mergers and acquisitions analysis.
• Evaluate CIMs (Confidential Information Memorandums).
• Develop high-quality presentations and reporting for stakeholders.
• Perform data-driven financial analysis to support strategic initiatives.

Required Skills & Experience

• Investment banking experience.
• Experience in potential M&A modeling.
• Strong PowerPoint and Excel skills.
• Experience evaluating CIMs.

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.  

Crown Equipment Corporation is a leading innovator in world-class forklift and material handling equipment and technology. As one of the world’s largest lift truck manufacturers, we are committed to providing the customer with the safest, most efficient and ergonomic lift truck possible to lower their total cost of ownership.

Primary Responsibilities

• Develop and support data products using SQL and Python.
• Develop and support ETL/ELT data pipelines using Kafka, CDC and Debezium.
• Design and support CI/CD workflows for platform pipelines and applications.
• Work with the Starburst/Trino platform using a DBT-based development framework, as well as the Microsoft Fabric platform.
• Work with data analysts and BI Developers to guide best practices on data modeling and overall use of Power BI
• Perform code review of team members to learn new techniques while providing code quality review.
• Assist in analysis of interacting systems to ensure changes made to one system will not impact other systems. Work closely with the Business Analyst to ensure proper documentation of requirements.
• Prepare technical specifications and other system and programming documentation in accordance with internal standards.
• Provide knowledge transfer to Support and Operations personnel related to changes to systems.
• Work with Quality Analysts to ensure changes are thoroughly tested before release. Write unit and integration tests for new code. Assist with the diagnosis of problematic applications and system testing.
• Stay informed of advances and pertinent changes in hardware and software technologies.

Minimum Qualifications

• Understanding of data modeling principles, why they work, and how to best use them
• A high school diploma or equivalent, along with at least 5 years’ experience
• Advanced SQL experience required
• Microsoft Fabric or Databricks experience
• Starburst / Trino experience
• Experience with DBT framework required

Preferred Qualifications

• Python experience
• Experience leading smaller projects
• Salary/level will be commensurate with experience

This is a hybrid remote position. A reasonable driving commute to New Bremen, OH is necessary.

Work Authorization:

Crown will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas or who need sponsorship for work authorization now or in the future, are not eligible for hire.

No agency calls please.

Compensation and Benefits:

Crown offers an excellent wage and benefits package for full-time employees including Health/Dental/Vision/Prescription Drug Plan, Flexible Benefits Plan, 401K Retirement Savings Plan, Life and Disability Benefits, Paid Parental Leave, Paid Holidays, Paid Vacation, Tuition Reimbursement, and much more.

EOE Veterans/Disabilities

Mission Statement: Unlocking potential while protecting your most critical assets.

Core Values: Care Trust Help (C.T.H.)

Summary of Position

The Training & Development Senior Analyst is a detail-oriented, highly experienced, data-driven learning professional who serves as a subject-matter expert across learning operations, LMS administration, program evaluation, and learning analytics. This role partners closely with L&D leadership and business stakeholders to translate organizational needs into effective, scalable learning solutions.

The Senior Analyst owns the integrity of learning systems, data, and processes; provides insights that inform learning strategy and investment decisions; and ensures learning programs are executed with operational excellence and measurable impact.

Essential Duties and Responsibilities

Learning Strategy & Analysis

• Conduct training needs analyses and identify capability gaps
• Translate business needs and performance data into learning recommendations
• Provide data-driven insights to influence learning strategy and resource decisions

Program Implementation & Governance

• Plan and execute learning programs aligned to timelines and delivery methods
• Maintain content review cycles to ensure accuracy, compliance, and effectiveness
• Manage training records, learning calendars, and documentation standards
• Track department expenses and support budget transparency

LMS & Learning Systems

• Serve as primary LMS administrator and subject-matter expert
• Configure courses, curricula, certifications, user roles, and reporting
• Ensure system optimization, data integrity, and user experience improvements

Learning Analytics & Evaluation

• Design and manage evaluation strategies to measure effectiveness and impact
• Develop dashboards and reports to communicate outcomes and ROI
• Analyze survey feedback and engagement data to drive continuous improvement
• Identify trends, risks, and opportunities through learning data

Coordination & Vendor Support

• Coordinate training logistics across virtual and in-person formats
• Partner with vendors and internal stakeholders to support program delivery

Other duties as assigned.

Required Qualifications

• Bachelor’s degree in Training & Development, Human Resources, Business, Analytics, or a related field preferred (or equivalent experience)
• 5+ years of experience in training and development, LMS administration, training operations, or analytics
• Strong analytical skills with the ability to influence decisions through data
• Proven ability to manage multiple initiatives in a complex environment

Technical Skills

• LMS administration and reporting expertise
• Advanced Excel and data analysis skills
• Learning analytics and dashboard development
• Strategic thinking and problem-solving
• Stakeholder partnership and consultative communication
• Operational excellence and attention to detail

Niles Shared Services is a proud Equal Opportunity Employer and believes that a diverse workforce is critical to our success. We hire on the basis of experience and qualifications, and in consideration of job requirements therefore, we do not discriminate against applicants due to race, color, religion, national origin, sex, age, disability, veteran status, sexual orientation, gender identity, creed, marital status or parental status, height, weight, citizenship status, arrest record, disability, genetic information, military or veterans’ status or any other legally protected status by federal, state, or local law.

The Manager of Data is responsible for overseeing the collection, management, and analysis of institutional data to support decision-making and strategic planning. This role involves leading a team of data analysts and ensuring data integrity, security, and compliance with relevant regulations. Additionally, the manager collaborates with various departments to develop data governance policies and implement effective data management practices that enhance the institution's ability to leverage data for improved outcomes.

Job Duty 1 -
Oversee the development and implementation of data management strategies to ensure the accurate collection, storage, and retrieval of institutional data.

Job Duty 9 -
Collaborate with academic and administrative departments to identify data needs and develop solutions that enhance data accessibility and usability.

Job Duty 10 -
Perform other duties as assigned.

Job Duty 2 -
Lead a team of data analysts in conducting data analysis and reporting to support institutional decision-making and strategic initiatives.

Job Duty 3 -
Establish and enforce data governance policies to ensure data quality, integrity, and compliance with relevant regulations and standards.

Job Duty 4 -
Monitor data management systems and tools, ensuring they are maintained, updated, and aligned with best practices in data security and privacy.

Job Duty 5 -
Provide training and support to staff on data management practices, tools, and analytical techniques to foster a data-driven culture within the institution.

Job Duty 6 -
Conduct regular audits of data processes and systems to identify areas for improvement and implement corrective actions as needed.

Job Duty 7 -
Prepare and present comprehensive reports on data trends, analysis findings, and management initiatives to senior leadership and relevant stakeholders.

Job Duty 8 -
Stay informed about emerging data management technologies and methodologies to continually enhance the institution's data management capabilities.

Educational Requirements
Bachelor's degree in related discipline or equivalent, related experience.

Required Experience
5+ years of relevant experience; 3+ years of supervisory knowledge.

Preferred Educational Qualifications
Master's degree in related discipline or equivalent, related experience.

• Master's degree in Computer Science, Information Technology, Information System, Data Science, Business Administration, related discipline or equivalent, related experience.
• Certified Data Management Professional certification.
• Experience designing, implementing and operating Security Information Management solutions such as SIMS or ThreatSwitch.
• Advanced knowledge of SQL, database design and data modeling expertise.
• Experience in managing and securing enterprise security database systems containing sensitive and regulated data.
• Experience in cross-departmental collaboration during security investigations, assessments, and compliance reviews.

The University System of Georgia is comprised of our 25 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.

The Georgia Tech Research Institute (GTRI) is the nonprofit, applied research division of the Georgia Institute of Technology (Georgia Tech). This position is in the Research Security Department (RS) of GTRI.

Role : Technical Product Manager ( Data Analytics )

Location - Austin, TX (Onsite) - only Local to Texas (other states don't apply)

Exp Req : 10+

Rate : $55/Hr on W2 Max

Skills Mandatory :

1, Marketing Data Analysis knowledge.

2, KPI and metrics definition on Marketing Data. Mainly for media product.

3, Instrumentation knowledge and through process.

Original JD:

• Key Qualification 7+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role, preferably for a digital subscription business.
• Strong proficiency with SQL-based languages is required. Experience with large-scale data technologies such as Hadoop, PySpark
• Proficiency with data visualization tools such as Tableau, , and/or MicroStrategy for analysis, insight synthesis, data product delivery, and executive presentation.
• You have a curious business mindset with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
• Excellent communication, social, and presentation skills with meticulous attention to detail.
• Strong time management skills with the ability to handle multiple projects with tight deadlines and executive visibility.
• Be known for successfully bridging analytics and business teams, with an ability to speak the language of both.

Job Description :

• Build dashboards, self-service tools, and reports to analyze and present data associated with customer experience, product performance, business operations, and strategic decision-making.
• Create datasets, Develop global dashboards, data pipelines, sophisticated security controls, and scalable ad-hoc reporting
• Closely partner with our Data Science team to define metrics, datasets, and automation strategy
• Engage with Product, Business, Engineering, and Marketing teams to capture requirements, influence how our services are measured, and craft world-class tools to support those partners.
• Establish a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide transparency on progress.
• Focus on scale and efficiency - create and implement innovative solutions and establish best practices across our full scope of delivery
• Education Minimum of a Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or related field. Technical Product Management

Key Qualifications :

• Experience in a Technical Product Management role, preferably for a digital-media or subscription business.
• Knowledge of Client-Server metrics logging strategies as well as data architecture required for analysis
• Hands-on experience with the end-to-end data lifecycle across petabyte-scale technologies
• Prior experience in a technical role (preferably as a data analyst or engineer), delivering data insights to stakeholders
• Strong experience designing and driving product strategy cross-functionally, collaborating with partners of various technical levels.

Nice to have :

• Experience in data-related programming languages (e.g. SQL, PySpark, Python, or R)

Description :

• Data is our product. We are looking for a self-starting, upbeat individual with excellent communication skills who is passionate about managing and developing critical datasets to maximize Data Science capabilities. You should have a strong interest in driving large-scale data products, engaging with key business stakeholders, and driving critical communications throughout the business.

Stephen

Lead Talent Acquisition Specialist

Email :

Role : Technical Product Manager ( Data / Analytics )

Location - Austin, TX ( Onsite )

Exp Req : 10+

Skills Mandatory :

1, Marketing Data Analysis knowledge.

2, KPI and metrics definition on Marketing Data. Mainly for media product.

3, Instrumentation knowledge and through process.

Original JD:

• Key Qualification 7+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role, preferably for a digital subscription business.
• Strong proficiency with SQL-based languages is required. Experience with large-scale data technologies such as Hadoop, PySpark
• Proficiency with data visualization tools such as Tableau, , and/or MicroStrategy for analysis, insight synthesis, data product delivery, and executive presentation.
• You have a curious business mindset with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
• Excellent communication, social, and presentation skills with meticulous attention to detail.
• Strong time management skills with the ability to handle multiple projects with tight deadlines and executive visibility.
• Be known for successfully bridging analytics and business teams, with an ability to speak the language of both.

Job Description :

• Build dashboards, self-service tools, and reports to analyze and present data associated with customer experience, product performance, business operations, and strategic decision-making.
• Create datasets, Develop global dashboards, data pipelines, sophisticated security controls, and scalable ad-hoc reporting
• Closely partner with our Data Science team to define metrics, datasets, and automation strategy
• Engage with Product, Business, Engineering, and Marketing teams to capture requirements, influence how our services are measured, and craft world-class tools to support those partners.
• Establish a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide transparency on progress.
• Focus on scale and efficiency - create and implement innovative solutions and establish best practices across our full scope of delivery
• Education Minimum of a Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or related field. Technical Product Management

Key Qualifications :

• Experience in a Technical Product Management role, preferably for a digital-media or subscription business.
• Knowledge of Client-Server metrics logging strategies as well as data architecture required for analysis
• Hands-on experience with the end-to-end data lifecycle across petabyte-scale technologies
• Prior experience in a technical role (preferably as a data analyst or engineer), delivering data insights to stakeholders
• Strong experience designing and driving product strategy cross-functionally, collaborating with partners of various technical levels.

Nice to have :

• Experience in data-related programming languages (e.g. SQL, PySpark, Python, or R)

Description :

• Data is our product. We are looking for a self-starting, upbeat individual with excellent communication skills who is passionate about managing and developing critical datasets to maximize Data Science capabilities. You should have a strong interest in driving large-scale data products, engaging with key business stakeholders, and driving critical communications throughout the business.