Senior Insights Analyst - Retail
Remote, United States
Full Time Senior-level / Expert USD 105K - 140K
Cotiviti
Cotiviti is a solutions and analytics company leveraging unparalleled clinical and financial datasets to deliver insight into the healthcare system’s performance.Overview
The Cotiviti Retail division are seeking a Senior Insights Analyst to work closely with our Retail operations and R&D teams. In this role, the analyst will design and develop reports and dashboards, provide analysis of complex data sets and provide actionable insights and strategic recommendations that drive business growth and optimize performance.
This is a key role in guiding the data analysis process and collaborating with stakeholders to identify opportunities and implement data-driven solutions. This position would act as a subject matter expert to the team.
We are looking for a special individual who is not only technically sound but who also has experience in retail and financial systems. This individual should also be curious and interested in learning our unique and results-oriented business.
Responsibilities
Report Design and Development
- Utilize BI tools to enhance and support existing reporting/data warehouse environment, including use of SQL Management Studio, SSRS, SSIS, PowerShell and Power BI and Tableau.
- Support the Retail/Cotiviti management and other stakeholders in evaluating, defining, standardizing, and reporting on key KPI's.
- Provide expertise for the design and requirements for both executive and client facing reports, scorecards, and dashboards.
- Design and implement data visualization dashboards and reports to effectively communicate insights to stakeholders at all levels of the organization.
- Manage development lifecycle of report generation (development, test/QA, UAT, bug fix/retest cycles)
Data Analysis and Interpretation:
- Utilize advanced analytical techniques to uncover trends, patterns, and correlations within large and diverse data sets.
- Interpret analysis results and translate them into actionable recommendations for business stakeholders.
- Interpret data to identify business trends, conduct root cause analysis of business problems/bottlenecks, or suggest areas for process improvement.
- Conduct deep-dive analysis and root cause investigations to address complex business challenges and opportunities.
- Lead the development and execution of data analysis projects, from data collection to insights generation and presentation.
- Generate actionable insights by synthesizing data analysis findings with industry knowledge and business context.
Market Research and Competitive Analysis:
- Conduct market research to identify industry trends, consumer behavior, and competitive landscape
- Perform competitive analysis to benchmark against industry peers and identify opportunities for differentiation.
- Stay current with emerging trends and best practices in data analysis, business intelligence, and industry-specific knowledge.
- Lead the evaluation and adoption of new tools, technologies, and methodologies to enhance the efficiency and effectiveness of the analytics function.
Cross-functional Collaboration:
- Collaborate with cross-functional teams including marketing, sales, product development, and finance to understand business objectives and priorities.
- Work closely with business stakeholders to define analytical requirements and tailor insights to meet their needs.
- Collaborate with cross-functional teams to understand business objectives, identify key performance indicators (KPIs), and prioritize analytical initiatives.
- Present findings, recommendations, and insights to senior leadership and key stakeholders in a clear, concise, and compelling manner.
- Solicit requirements and Service Level Agreements (SLAs) from key stakeholders for ad hoc and/or complex reporting requests.
Data Governance and Compliance:
- Adhere to data governance policies and ensure compliance with data privacy regulations and industry standards.
- Safeguard sensitive data and ensure appropriate access controls are in place to protect data integrity and confidentiality.
- 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 the requirements of the job change.
Qualifications
- Bachelor’s degree in business administration, Economics, Statistics, Mathematics, Computer Science, or related field is required, or an equivalent combination of education and/or relevant experience.
- Minimum of 5 years of related experience.
- Proven experience in data analysis, business intelligence, or a related field, with a minimum of 5 years of relevant experience.
- Expertise in data manipulation, statistical analysis, and data visualization techniques, with proficiency in tools such as SQL, Python, R, Tableau, or Power BI.
- Demonstrated experience creating, debugging, and modifying complex stored procedures and views, as well as querying and updating data using SQL. Previous experience with SSIS is a plus.
- Experience with data governance, data quality management, and data security best practices.
- Strong leadership and mentoring skills, with the ability to effectively guide and support a team of analysts.
- Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical audiences.
- Demonstrated ability to manage multiple projects simultaneously, prioritize tasks, and meet deadlines in a fast-paced environment.
- Strategic thinking and problem-solving skills, with a focus on driving actionable insights and recommendations that align with business objectives.
- Experience working with large and diverse data sets, including structured and unstructured data sources.
- Knowledge of advanced analytical techniques such as machine learning, predictive modeling, and optimization algorithms is preferred.
- Strong business acumen and understanding of key business processes, drivers, and metrics within the organization or industry.
- Certification in relevant areas such as data analysis, business intelligence, or project management is a plus.
- Experience in a leadership or managerial role is advantageous.
- Understands and embodies Cotiviti Core Values, Strategic Pillars, and Operations Disciplines to achieve successful performance in completing assigned responsibilities and interactions with the Organization both internally and externally.
Mental Requirements:
- Critical Thinking: Ability to think critically and evaluate information objectively, considering different perspectives and potential implications before drawing conclusions or making recommendations.
- Attention to Detail: must have a keen eye for detail to ensure accuracy in data analysis, interpretation, and reporting.
- Quantitative Aptitude: Strong numerical skills are essential for conducting quantitative analysis, working with statistical methods and models, and manipulating data using mathematical operations.
- Data Interpretation: skilled in interpreting data visualizations, charts, graphs, and other forms of data presentation to extract meaningful insights and communicate findings effectively.
- Communication Skills: Effective communication skills are crucial for conveying complex technical concepts and insights to non-technical stakeholders clearly and understandably through written reports, presentations, and verbal discussions.
- Curiosity and Learning Agility: A strong desire to learn and explore new methodologies, techniques, and tools in the field of data analysis and insights generation is essential for staying current with industry trends and best practices.
- Resilience: The ability to handle pressure, adapt to changing priorities, and overcome setbacks is important in a fast-paced and sometimes ambiguous analytical environment.
- Ethical and Integrity: Upholding ethical standards and maintaining integrity in handling sensitive data and information is paramount for building trust and credibility in the insights provided.
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.
- Exposure to moderate noise intensity is expected.
- No adverse environmental conditions are expected.
Base compensation ranges from $105,000 to $140,000 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. This role is based remotely, and all interviews will be conducted virtually.
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: 04/28/2025
Applications are assessed on a rolling basis. We anticipate that the application window will close on 07/27/2025, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.
#LI-RA1
#Senior
Tags: Business Intelligence Computer Science Data analysis Data governance Data quality Data visualization Data warehouse Economics Finance KPIs Machine Learning Market research Mathematics Power BI Predictive modeling Privacy Python R R&D Research Security SQL SSIS Statistics Tableau Unstructured data
Perks/benefits: Career development Competitive pay Health care Insurance Medical leave
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.