Find The RightJob.

Data Analyst

Role Overview

HealthView Services (HVS) is seeking a technically strong, business‑oriented Data Analyst to help shape and scale our retirement‑centric healthcare cost analytics. This role sits at the intersection of data engineering, analytical modeling, and business insight, supporting product development, research initiatives, and client‑facing deliverables.

The Data Analyst will work with large, complex healthcare and retirement datasets to validate data integrity, develop and test analytical logic, and translate quantitative findings into clear, actionable insights for internal teams and external stakeholders. This role partners closely with Software Engineering, Product, Marketing, Sales, and Leadership, contributing directly to product accuracy, market differentiation, and strategic decision‑making.

Successful candidates are intellectually curious, detail‑oriented, and comfortable operating in a fast‑evolving environment where analytical rigor and practical business impact are equally important.

Work Authorization & Sponsorship

Sponsorship: HVS does not provide current or future visa sponsorship for this role (e.g., H-1B, TN, etc.).
STEM OPT: We are unable to accommodate candidates seeking or currently utilizing STEM OPT extensions.
Requirement: All applicants must be permanently authorized to work in the United States without the need for employer sponsorship now or in the future.

Key Responsibilities

Develop deep familiarity with HVS proprietary healthcare and retirement datasets, including structure, sourcing, assumptions, and limitations
Analyze, validate, and QA analytical outputs across current and future products to ensure accuracy, consistency, and defensibility
Design, implement, and test analytical logic and algorithms in partnership with Software Engineering
Evaluate new data sources, methodologies, and assumptions to improve data quality and analytical robustness
Produce clear documentation, reporting, and visualizations to support product development, research initiatives, and client deliverables
Translate complex analytical concepts into concise explanations for technical and non‑technical audiences
Support ad‑hoc and recurring analytical requests for product, sales, marketing, and leadership teams
Apply data‑driven thinking to identify trends, risks, and business opportunities within the retirement healthcare landscape

Qualifications – Core Expectations (Required)

3+ years of professional experience working with complex datasets in an analytical, data, or quantitative role
Experience using Python, C#, or a comparable programming language for data analysis, automation, or analytical logic
Advanced proficiency in Excel (formulas, pivots, logical analysis, data validation)
Solid foundation in analytical reasoning, statistics, and quantitative problem‑solving
Ability to independently assess data quality, identify inconsistencies, and propose solutions
Strong written and verbal communication skills, with the ability to explain complex concepts clearly
Bachelor’s degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field

Qualifications – Nice to Have (Differentiators, Not Required)

Experience with healthcare, health insurance, or Medicare‑related data
Familiarity with retirement savings products (401(k), IRA, decumulation strategies, etc.)
Knowledge of Social Security benefits or retirement income planning concepts
Experience with BI and visualization tools (e.g., Power BI, Tableau, Looker, or similar)
Strong proficiency in SQL for querying, validating, and transforming data
Exposure to cloud‑based data environments (Azure, AWS, GCP)
Background in statistical modeling, forecasting, or actuarial concepts
Accounting or financial analysis experience supporting regulated or data‑intensive products