Government Employees Health Association, Inc. (G.E.H.A) is a nonprofit member association that provides health and dental benefits that millions of federal employees and retirees, military retirees and their families have counted on since 1937. Offering one of the largest health and dental benefit provider networks available to federal employees in the United States, G.E.H.A empowers health and wellness by meeting its members where they are, when they need care. G.E.H.A has one mission: To empower federal workers to be healthy and well. The Associate Data Support Analyst is responsible for providing support to ensure efficiency for teams within Data & Analytics. This role involves assisting in operational efficiencies such as batch job monitoring, coordination of migration activities, Production Incident triage and job optimization. This role supports both business data analyst and developers across multiple projects ensure the smooth transition to go-live and post implementation support. SKILLS Roles & Responsibilities: - Utilize basic SQL Skills - Coordinate discussions with cross functional/technical teams to capture details needed for D&A jobs to seamlessly run in a Production environment - Coordinate the creation and migration of changes through all environments ensuring that all items follow change management process - Monitor D&A daily/weekly/monthly batch jobs - Monitor and triage D&A production incidents and service request - Participate in scrum, backlog grooming, refinement, planning and design review sessions - Other duties as assigned Qualifications: - Requires 1-2 years of relevant data support experience or demonstrated experience within healthcare industry or data and analytics - Bachelor’s degree in computer science, Information Technology or a related field - Competent in tools such has SQL and Excel - Basic understanding of cloud platform such as Microsoft Azure and Snowflake - Basic understanding of agile methodologies and SDLC - Ability to work collaboratively in a team centric environment - Strong problem solving and communication skills with attention to detail Work-at-home requirements - Must have the ability to provide a non-cellular High Speed Internet Service such as Fiber, DSL, or cable Modems for a home office. - A minimum standard speed for optimal performance of 30x5 (30mpbs download x 5mpbs upload) is required. - Latency (ping) response time lower than 80 ms - Hotspots, satellite and wireless internet service is NOT allowed for this role. - A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information How we value you - Competitive pay/salary ranges - Incentive plan - Health/Vision/Dental benefits effective day one - 401(k) retirement plan: company match – dollar for dollar up to 4% employee contribution (pretax or Roth options) plus a 6% annual company contribution - Robust employee well-being program - Paid Time Off - Personal Community Enrichment Time - Company-provided Basic Life and AD&D - Company-provided Short-Term & Long-Term Disability - Tuition Assistance Program While this is a remote opportunity, at this time G.E.H.A does not hire employees from U.S. territories or the following states: Alaska, Hawaii, California, Washington, Oregon, Colorado, Wyoming, Montana, New York, Connecticut, Vermont, Pennsylvania, Maine. Please note that the salary information is a general guideline only. G.E.H.A considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, education/training, key skills, internal peer equity, as well as, market and business considerations when extending an offer. The hiring range for this position is $67,263 - $85,092 USD. At G.E.H.A, the current maximum salary for this role is $94,817 USD. While initial compensation may vary based on experience and qualifications, there is a path to work toward this top rate through performance and continued growth within the organization. G.E.H.A is an Equal Opportunity Employer, which means we will not discriminate against any individual based on sex, race, color, national origin, disability, religion, age, military status, genetic information, veteran status, pregnancy, marital status, gender identity, and sexual orientation, as well as all other characteristics and qualities protected by federal, state, or local law. G.E.H.A will not discriminate against employees or applicants because they have inquired about, discussed, or disclosed their compensation or the compensation of another employee or applicant. We are committed to creating an inclusive environment for all employees. G.E.H.A is headquartered in Lee's Summit, Missouri, in the Kansas City area. We recognize the importance of balance and flexibility and offer hybrid and work-from-home options for many of our roles.

• Develop recommendations and drive improvements to data standards, processes, definitions within your business area • Partner with team leaders globally by providing analytical insights through accessible business oriented data sets and visual data dashboards • Be an active participant in discussion with various global teams and have a voice in the direction of the business • Identify insights that will impact the broader business by leveraging relationships with internal stakeholders across multiple functional areas • Consult with managers and team leaders; work with them to turn vague or poorly defined issues into clearly addressable problems/questions that is measurable

• Conduct exploratory and structured analyses independently; • Develop and enhance strategic dashboards and reports; • Translate business problems into data-driven analyses; • Define and monitor KPIs with partner teams; • Investigate deviations and propose hypotheses and actionable recommendations; • Ensure the quality and consistency of the data used in analyses; • Collaborate with Data Engineering to improve data sources; • Support strategic decisions using data (e.g., pricing, churn, channel performance); • Document metrics, business rules, and analyses; • Present results and insights to stakeholders at various levels.

• Diseñar y desarrollar dashboards en Power BI para usuarios de negocio. • Construir métricas, KPIs y modelos analíticos utilizando DAX. • Desarrollar consultas SQL en Amazon Athena para análisis y generación de datasets. • Traducir requerimientos de negocio en soluciones analíticas claras y accionables. • Validar calidad de datos y optimizar performance de modelos y visualizaciones.