Data Reporting Analyst (Mid-Level)

Highmark Health•Washington, DC

6d•Onsite

About The Position

This job turns data into information, information into insight, and insight into business decisions. More specifically, this job drives and supports all activities related to collecting, analyzing, and reporting on the Organization's key performance indicators including developing dashboards, scorecards, forecasting, trending, tracking results, and executive presentations for the purpose of supporting operational excellence, management intelligence for effective decision-making, and overall tracking of organizational performance. Consults with cross-functional enterprise groups and levels to identify data and analytical needs, conduct analyses, review analyses and findings with leadership, facilitate related process/data improvement efforts and develop executive level presentations. Prepares similar intelligence for customers and interacts with customers as such. Specifically, this role is responsible for transforming complex operational, financial, and membership data into actionable insights that inform executive decision-making across Government Programs (TDP, ADDP, Medicaid, and emerging programs). The Analyst will go beyond producing reports -this role identifies performance drivers, qualifies risk and opportunities, and delivers clear, data-backed recommendations that improve program outcomes, financial performance, and strategic positioning.

Requirements

MUST BE A US CITIZEN
Minimum Bachelor’s Degree in Math, Computer Science, Quantitative Business Analysis, or closely related field
3 - 5 years of relevant, progressive experience
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Problem solving capabilities, critical thinker, able to investigate root causes and recommend solutions
Proficient to master level with Microsoft Office products including Excel, Power Point, Word, and Access
Basic understanding of SQL / querying capabilities
Experience with BI tools such as Power BI or Tableau
Experience with end-user reporting tools
Familiarity with the Software Development Lifecycle Process
Strong written and verbal communication skills
Strong analytical skills
Effective participation in team-based work
Energetic: The ability to find solutions and deliver results within a rapid, fast changing, entrepreneurial, technology-driven culture; Passion for technology and a positive, can-do attitude is a must.
Adaptability: Capable of adjusting to changing priorities, and possesses the ability to understand business needs to master new skills and technologies in a short period of time.
Results-Oriented and Data Driven: Must be a data driven decision maker who loves impacting the bottom line and achieves goals with available resources and abilities.
Communication (written & oral): Must have strong interpersonal skills and the ability to establish, develop and maintain cross-functional business relationships, as well as have excellent presentation and problem-solving skills

Nice To Haves

Master’s Degree in Information Technology, Mathematics/Statistics, or Operations Research.
Experience in project management
Experience in healthcare, insurance, or government programs (Medicaid, DoD, etc)
Expose to forecasting, or statistical modeling
Experienced working with large, complex datasets in a matrix organization.
Lean Six Sigma

Responsibilities

Work with various internal departments to collect source data, on a regular basis and as needed.
Design and build analyses/trending/forecasting reports using Excel or other technology.
Publish metrics dashboards and executive presentations.
Identify, analyze, and interpret trends or patterns in complex data sets.
Analyzes membership, utilization, financial, and operational data to identify trends, root causes, and performance drivers.
Translates findings into clear, actionable recommendations for leadership.
Builds and maintaining forecasting models for membership, utilization, and financial performance.
Develop processes, tools, and templates to enable efficient, accurate, and standardized data analyses and related; deliverables.
Leverages automation to greatest extent possible.
Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality.
Extracts clean, and integrated data from multiple sources (e.g. claims, enrollment, financial systems, and operational platforms).
Ensure consistency and accuracy of information and reporting by identifying issues and fluctuations with core metrics/KPIs, facilitates changes, research questions, participate and/or lead process and data improvement efforts.
Partners with IT and data engineering teams to improve data quality and accessibility.
Contribute to ensuring that all changes to reporting, processes, and procedures are reflected, appropriately documented, and that consistency is maintained for team.
Ensure the correct first time /quality review processes are utilized and that changes maintain data integrity control processes.
Collaborate with cross-functional teams (operations, finance, network, compliance) to understand business needs and translate them into analytical solutions.
Maintain effective communication with internal organizations, external vendors/partners and internal staff.
Structure and present complex subjects in a meaningful and comprehensible manner.
Develop work plans to meet deadlines, accurately estimate completion dates and communicate status.
Work closely with management to prioritize business and information needs.
Other duties as assigned or requested.