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Sr. Strategy Data Analyst

at Cotiviti

Posted: 10/3/2019
Job Status: Full Time
Job Reference #: 86a818d4-7e51-4709-9384-e1bf4d1d82bb
Keywords: technical

Job Description

The Sr. Strategy Data Analyst is responsible for architecting and developing complex best-in-class and innovative analytics and reporting solutions. This role will have responsibility for establishing, running, and sustaining processes and practices that support Big Data, Analytics, and Reporting solutions and applications in an Open Source environment. The Sr Strategy Data Analyst should have a passion for data, working with business people, and creating solutions and driving value with a keen interest in mentoring and elevating other technical resources. This role will spend time working independently and as part of a team and will focus on specific deadlines in an Agile development process as defined by the management team.

Primary Responsibilities

  • Architect and hands-on development of complex Analytics and Reporting solutions
  • Independently conduct market and competitive analysis using external market and internal data
  • Generate opportunity analyses on key strategic topics including ROI analyses, KPI alignment, strategic pricing analysis, and other necessary analyses
  • Implementing and configuring reporting technologies like Tableau or Microstrategy
  • Proficient with SQL for databases like Oracle, PostgreSQL, and MySQL
  • Architect, design, build and integrate solutions using Hadoop and other big data tools such as: Scala/Spark, R, Pig, etc.  This also includes redesigning existing reports for enhanced utility and usability.
  • Managing the day-to-day activities of the Analytics Center of Excellence, which is tasked with delivering data-driven recommendations by applying analytics within a Hadoop environment
  • Drive automation capabilities into reporting solutions
  • Establish credibility and strong working relationship with development teams to review design and code for adherence to established standards and best practices
  • Deliver targeted outcomes using an Agile development process
  • Maintain our repository and other relevant documentation
  • Supports development of other analysts on the team by sharing and training on best practices
  • Consulting skills strong enough to work with clients on their analytic needs


  • Strong understanding of claims data, how data is stored in analytical platforms, and how to use and apply claims data in the validation of payment accuracy concepts and other projects.
  • Familiarity with big data analysis techniques (e.g., Scala, R)
  • Strong ability to use Statistical methodology to solve business problems
  • Ability to understand, generate and evaluate healthcare utilization, unit cost and medical cost trends. This includes understanding levers that effect healthcare cost, such as contracting, networks, policies, benefit structures, and product design. Ability to draw conclusions and make recommendations based on financial data
  • Ability to actively and skillfully conceptualize, apply, analyze, synthesize, and/or evaluate information gathered from, or generated by, observation, experience, reflection, reasoning, or communication, as a guide to belief and action
  • Ability to gain acceptance of recommendations made to other departments or individuals (acting as clients)
  • Applies knowledge, skills, tools and techniques to execute projects effectively and efficiently in alignment with organizational competencies and strategic business goals. Ability to articulate and document a scope, process, accountable owners and project milestones and timelines. Includes summarizing project health and outcomes at any point in the project lifecycle.
  • Strong understanding of the tenets of health insurance, the managed care model, Commercial, Medicare & Medicaid rules, industry coding/policy standards, the claim adjudication process, and issues related to fraud waste and abuse; Ability to apply this knowledge to the development & evaluation of new initiatives and lead the team strategy toward best practices. OR, Developing and maintaining and understanding of the basic tenets of retail auditing and our clients to develop and evaluate new initiatives and best practices
  • Strong verbal and written communication skills; Ability to appropriately summarize and effectively communicate complex insights, concepts & varied data sets to inform stakeholders, gain approval, or prompt actions in a compelling and succinct manner; Applies to multiple audiences ranging from the analyst to executive level; Includes oral & written communication and multimedia presentation
  • Proficient with Microsoft Office Suite (Word, Excel, Power Point)
  • Familiarity with data warehousing concepts
  • Attention to detail and accuracy
  • Organizational skills
  • Desire and capacity to learn new concepts and software
  • Artistic eye capable of producing attractive, easy to use reports and analyses
  • Strong analytical and problem solving ability
  • Professional with ability to properly handle confidential information
  • Ability to work well independently and in a team environment
  • Ability to handle multiple tasks, prioritize and meet deadlines 


    • 5 years’ experience in advanced analytics
    • 5 years’ experience delivering actionable insights from data
    • 5 years’ experience in typical and big data analytics environments
    • 2 years’ experience with business intelligence (data visualization and dashboarding, Tableau, etc)
    • Experience with SQL syntax for multiple databases (e.g., standard SQL, Oracle, MySQL, PostgreSQL)
    • Experience in Agile environment
    • Experience with healthcare billing and coding
    • Experience mentoring junior analysts
    • Out of the box thinking and creativity are essential
    • After hours / weekend work required where necessary for major deliverables / deadlines (not consistent)
    • Must have flexibility and willingness to participate in the work processes of an international organization, including conference calls scheduled to accommodate global time zones.