Cotiviti

Data and Insight Analyst

United States full-time Mid $75,000 - $110,000
full-time Mid level Technology & IT Salary listed Curated
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About the role

Overview
The Data & Insight Analyst is a mid-level position responsible for developing and supporting scalable analytics and reporting solutions that drive business decision-making. This role involves hands-on work with data integration, report development, and performance optimization across various data sources and BI tools. The Data & Insights Analyst collaborates closely with internal teams to translate business needs into actionable insights, supports automation efforts, and contributes to the improvement of data quality and reporting processes. This role requires strong technical skills, a problem-solving mindset, and a passion for turning data into meaningful information.
Responsibilities

Architect, design, and optimize scalable analytics and reporting solutions using SQL, Hadoop, Hive, and BI tools like Power BI and Tableau.

Drive automation of reporting workflows and data processes to improve efficiency, accuracy, and timely insights.

Serve as a Subject Matter Expert (SME) across data environments and reporting platforms, providing best practice guidance.

Identify, communicate, and help resolve data quality and reconciliation issues.

Collaborate with internal teams to address reporting questions and client-specific requests.

Assist in enhancing existing reporting tools and dashboards.

Lead development and optimization of complex, client-facing reports supporting strategic analysis.

Complete all responsibilities as outlined in the annual performance review and/or goal setting.

Complete all special projects and other duties as assigned.

Must be able to perform duties with or without reasonable accommodation.

Complete all responsibilities as outlined in the annual performance review and/or goal setting.

Complete all special projects and other duties as assigned.

Must be able to perform duties with or without reasonable accommodation.

This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change.
Qualifications

Bachelor’s degree in Business Analytics, Finance, Economics, Statistics, Mathematics, Data Science, Information Systems, or related quantitative/business field.

5+ years in analytics, including 3+ years consulting and 3–5 years in data architecture.

Experience with Business Objects, Hadoop, Hive, and Python for big data processing and reporting.

Proficient in Excel, Tableau, and Power BI for data visualization and business intelligence.

Skilled in Oracle SQL Developer, advanced analytics, and statistical modeling.

Detail-oriented with strong analytical skills to identify trends and anomalies in data.

Excellent written and verbal communication skills for conveying insights clearly.

Quick to learn new tools, data sets, and business concepts.

Effective team player with experience in cross-functional and matrix environments.

Strong time management skills; able to handle multiple priorities and meet deadlines.

Trusted to handle confidential information with discretion.

Capable of working independently and collaboratively.

Cognitive/Metal Requirements:

Communicating with others to exchange information.

Problem-solving and thinking critically.

Completing tasks independently.

Interpreting data.

Making timely decisions in the context of a workflow.

Assessing the accuracy, neatness and thoroughness of the work assigned.

Learning new tasks and completing tasks in situations that have a speed or productivity quota.

Physical Requirements and Working Conditions:

Remaining in a stationary position, often standing or sitting for prolonged periods.

Repeating motions that may include the wrists, hands, and/or fingers.

Must be able to provide high-speed internet access / connectivity and office setup and maintenance.

Must be able to provide a dedicated, secure work area.

Base compensation ranges from $75,000 to $110,000 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.
Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page.
Date of posting: 10/12/2026
Applications are assessed on a rolling basis. We anticipate that the application window will close on 12/31/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.
Originally posted on Himalayas

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT API integration Data Analysis Excel Finance MySQL Mid level

Likely questions

  1. Tell us about work you have done that is close to the Data and Insight Analyst role.
  2. How would you approach your first 30 days at Cotiviti?
  3. Which of API integration, Data Analysis and Excel have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with API integration, Data Analysis and Excel.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Data and Insight Analyst role because I can bring practical experience in API integration, Data Analysis and Excel, learn the team quickly, and contribute to the outcomes Cotiviti needs from this hire.

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