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Senior Data Analyst

  • Location: Bethesda, 20817
  • Job Type:Contract

Posted 2 months ago

Position: Senior Data Analyst
Location: Bethesda, MD 20817
Term: 4 months
 
Day-to-Day Responsibilities:
  • Analyze, document, and present trends in customer program performance, internal operational, and/or financial performance:
o Uses analytical expertise (descriptive, diagnostic, predictive, and prescriptive) to work collaboratively with internal account teams to demonstrate program outcomes/performance metrics and develop and articulate strategic recommendations to address client challenges.
o Supports internal and external customers by synthesizing both in-house and third-party data sources, as well as industry benchmarks and best practices, into actionable information that leads to insights and impactful changes.
o Work under consultative or self-initiated direction (i.e., undirected analysis) to assess and produce standard or custom information (reports, charts, graphs, and tables) from structured data sources by querying data repositories and generating the associated information.
o Present standard and ad hoc reports including trends and analyses to internal and external customers, with a specific focus on being able to use lay terminology to communicate actionable insights and results to a broad audience.
o Take the lead on ad hoc analytics “deep dives” to identify and communicate additional insights and trends to both internal and external customers.
o Produce, distribute and disseminate recurring and ad hoc reports and analyses through proper review and distribution channels according to department and company policies and procedures.
o Leverage analytical software, database reporting software, database user interface, query software, and data mining software, in support of both report production/development and data validation.
o Leverage industry-standard data visualization tools and/or BI tools to develop and improve dashboards incorporating both statistics and visualizations.
  • Supports data integrity, ensures reporting accuracy, and enables the optimization of reporting processes:
o Production/development of reports measuring data accuracy.
o Take lead on report development with a goal to optimize processes, limit possible errors, and better identify possible inaccuracies.
o Accountable for all work reviewed.
o Participates in and supports the organization’s quality programs and the underlying tools/protocols that support them.
  • Leads high-profile and cross-department analytics projects for internal stakeholders and MCA clients:
o Design, develop and collaborate on new analytical tools, templates, coding, or methodologies, with an emphasis on optimizing performance, in response to needs/requests from stakeholders or self-identified needs.
o Work closely with clients, account/project managers, data analysts, and other MCA stakeholders to translate data into critical information and knowledge that enables decision-making.
o Test prototype software and participate in the approval and release process for new software.
o Collaborate with technical staff to standardize and mechanize routine reports, dashboards, and metrics based on industry standards and best practices.
o Work with key stakeholders to develop and maintain data standards and common data elements for data collection.
  • Provide supervision & mentorship for the Analytics group:
o Teach, communicate, and lead the documentation of processes in the form of Work Instructions or SOPs.
o Generally, supports the building and organization of analytic team knowledge.
o Supports the development and/or implementation of training initiatives to build analytical skill/proficiency across the team or in collaboration with other departments.
o Answer technical and procedural questions for less experienced team members.
o Provide peer-review and quality reviews of analytic tools & reporting created or modified by other members of the Analytics team members.
o Assists other members of the Analytics group with complex projects.
o Subject Matter Expert (SME) for key systems/processes in subject teams and day-to-day functions. Facilitates the maintenance and reporting of benchmarks and performance metrics.
  • Ability to work independently, multitask, and adjust priorities.
  • Clear and conceptual thinking ability.
  • Excellent judgment, troubleshooting, problem-solving, analysis, and discretion.
  • Ability to handle work-related stress; ability to handle multiple priorities simultaneously.
  • Ability to meet deadlines.
  • Proactively seeks opportunities to increase knowledge, skills, and abilities.
  • Excellent written or communication skills to report findings and methodologies in a clear, structured manner.
  • Assumes responsibility for related duties as required or assigned.
  • Decisions are made with an understanding of procedures and company policies to achieve set results and deadlines.
  • Responsible for setting own project deadlines.
  • Errors in judgment may cause an impact on coworkers and supervisors and the company.
 
Is this a good fit? (Requirements):
  • Bachelor's Degree.
  • Minimum 5 years' relevant experience as a Senior Data Analyst.
  • Minimum of 5 years of healthcare experience, including but not limited to, Workers' Compensation, Health Plan, Insurance Industry, Medical Case Management, and Pharmacy Benefit Management (PBM).
  • Minimum of 3 years of experience in communicating, summarizing, and/or presenting complex analytics findings to stakeholders.
  • Minimum of 2 years of supervisory or mentorship experience.
  • Software Expertise:
o Advanced: MS Excel.
o Intermediate: MS Access, MS PowerPoint, MS Word.
o Intermediate: SQL.
o Intermediate: Micro Strategy, Tableau, PowerBI, or similar BI Software.
  • In-depth knowledge and experience using and applying analytical software, database reporting software, database user interface, query software, and data mining software, in support of both report production/development and data validation.
  • Experience using industry-standard data visualization tools, BI tools, and dashboards incorporating both statistics and visualizations.
  • Experience working with both in-house and third-party data.
  • Experience working with project management and agile methodologies.
  • Expertise using all MS Office Suite tools.
  • Communication Skills.
  • Intermediate analytical and quantitative skills.
  • Excellent written and verbal communication skills.
  • Strong organizational and analytical skills.
  • Ability to provide efficient, timely, reliable, and courteous service to customers.
  • Strong English language skills, including but not limited to Speaking, writing, spelling, and grammatical skills.
  • Write succinctly and clearly and explain complex situations in plain English to technical and non-technical audiences.
  • Excellent ability to effectively present information.
  • Facilitating discussion of analytical subjects between technical and non-technical team members.
  • Ability to apply logical or scientific thinking to a wide range of intellectual and practical problems.
  • Able to deal with very difficult concepts and complex variables.
  • Ability to comprehend, analyze, and interpret documents.
  • Ability to solve problems involving several options in situations.
  • Able to perform basic statistical calculations including frequency distributions, reliability, and validity of tests, normal curve, analysis of variance, correlation techniques.
  • A US Citizen.
  • Ability to obtain and maintain a security clearance.
  • Ability to travel up to 10-20%.
 
Even better if you have:
  • Bachelor of Science in Related Field (i.e., Statistics, Mathematics, Engineering, Computer Science, or similar).
  • Master's degree in a data or healthcare-related field from an accredited college or university. (If no master’s degree must have an additional 2 years of relevant experience.)
  • Software Expertise:
o Extra: MS VBA, IBM, SPSS, SAS
  • Experience in Workers' Compensation and Specialty Health Programs.