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Role Description

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.
• Provide actionable insights and strategic recommendations that drive business growth and optimize performance.
• Act as a subject matter expert to the team.

Responsibilities

• Report Design and Development:
  • Utilize BI tools to enhance and support existing reporting/data warehouse environment, including SQL Management Studio, SSRS, SSIS, PowerShell, Power BI, and Tableau.
  • Support the Retail/Cotiviti management and other stakeholders in evaluating, defining, standardizing, and reporting on key KPIs.
  • 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.
  • Conduct root cause analysis of business problems/bottlenecks, or suggest areas for process improvement.
  • 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.
  • 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.

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.

Benefits

• Competitive benefits package including medical, dental, vision, disability, and life insurance coverage.
• 401(k) savings plans.
• Paid family leave.
• 9 paid holidays per year.
• 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti.