Senior Data Analyst

Cynet Systems•Richmond, VA

About The Position

The organization is seeking an experienced Senior Data Analyst with 7+ years of experience in data analysis, SQL, data platforms, and business insights. The role requires hands-on experience with Snowflake, MongoDB, and SQL, as well as a solid understanding of US healthcare and health insurance data. The analyst will apply a product mindset to understand business needs, translate them into data requirements, analyze complex datasets, and provide actionable insights that support product and business decisions. The Senior Data Analyst will collaborate with Product Owners, business stakeholders, engineering teams, QA teams, and other Agile delivery partners. Responsibilities include data analysis, profiling, mapping, validation, reconciliation, reporting, and testing, as well as communicating findings and maintaining documentation. Experience in US healthcare or health insurance is highly preferred.

Requirements

7+ years of professional experience in data analysis, business data analysis, analytics, or related data-focused roles.
Strong hands-on SQL experience, including complex queries, joins, aggregations, data validation, and performance optimization.
Hands-on experience with Snowflake.
Experience working with MongoDB and NoSQL data structures.
Strong understanding of data analysis, data modeling, and data quality.
Experience with data profiling, mapping, validation, reconciliation, and reporting.
Ability to understand business and product requirements and translate them into data and analytical requirements.
Ability to collaborate with Product Owners, business stakeholders, engineering teams, and QA teams in an Agile delivery model.
Strong communication skills for presenting findings to technical and non-technical stakeholders.

Nice To Haves

Domain experience in US healthcare or health insurance is highly preferred.
Python for data analysis and automation.
Experience with Databricks.
Experience with PostgreSQL or other relational databases.
Understanding of ETL and data integration concepts.
Experience with cloud-based data platforms.
Experience with data visualization and reporting tools.
Experience with Git or Bitbucket.
Experience with AI-assisted analytics and development tools such as GitHub Copilot.

Responsibilities

Analyze large and complex datasets to identify trends, patterns, data issues, business opportunities, and actionable insights.
Develop complex SQL queries for data extraction, analysis, reconciliation, and validation.
Use Snowflake and MongoDB to analyze structured and semi-structured data.
Understand business and product requirements and translate them into clear data and analytical requirements.
Perform data profiling, source-to-target analysis, data mapping, validation, and root-cause analysis.
Partner with Product Owners, Business Analysts, Data Engineers, QA teams, and business stakeholders to support product and delivery objectives.
Apply a product mindset to understand customer and business needs and use data to support prioritization, product improvements, and decision-making.
Analyze healthcare and health insurance data for business, operational, and product-related initiatives.
Identify data quality issues, investigate anomalies, and collaborate with engineering teams to resolve data discrepancies.
Define and validate business rules, data transformations, KPIs, and reporting requirements.
Support data-related testing, including source-to-target validation, data reconciliation, and business rule verification.
Participate in Agile ceremonies, including backlog refinement, sprint planning, daily stand-ups, reviews, and retrospectives.
Work with Agile teams to develop clear user stories, acceptance criteria, and data requirements.
Present analytical findings and recommendations to technical and non-technical stakeholders.
Create and maintain documentation related to data definitions, mappings, business rules, analysis, and reporting.
Use AI-enabled tools where appropriate to improve analytical productivity, documentation, and solution development.