About the role

Role: Sr. Data Analyst

Lead end-to-end, complex, data-driven implementations focused on data integrity and keeping data workflows running reliably. You will work across teams to improve pipelines, standardize data operations, and scale documented data workflows.

Responsibilities

Lead and manage end-to-end data projects: scoping, stakeholder alignment (internal/external), timelines, and successful delivery.
Build and maintain documentation for data workflows, pipelines, reporting logic, and system definitions.
Serve as a liaison between technical teams and business stakeholders, translating data concepts into actionable insights.
Design and implement standardized processes/frameworks for:
- data intake
- data quality & validation
- reporting and delivery
Oversee and optimize data workflows across teams; identify inefficiencies and drive sustainable, scalable improvements.
Facilitate cross-functional collaboration across Analytics, Engineering, Product, Data Integration, and Client Delivery.
Lead project tracking and communication, proactively manage risks, dependencies, and stakeholder expectations.
Work in Databricks and related data platforms to support, document, and optimize workflows/pipelines.
Use Azure DevOps to identify, track, and maintain initiatives.
Act as a subject matter expert in data governance, pipeline documentation standards, and technical best practices.
Mentor team members on data policies, documentation standards, scalability, and workflow efficiency.
Perform root cause analysis for complex data issues and ensure findings feed back into process improvements.
Independently validate outputs, troubleshoot issues, and support analysis.

Requirements

Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or related field.
5+ years in data analysis, data operations, analytics, or related role with proven ownership of complex projects.
Advanced SQL for complex querying, optimization, and data validation.
Strong experience with Databricks (or similar cloud data platforms), working with large-scale datasets and supporting ETL workflows.
Strong experience with data visualization tools: Tableau, Power BI, or Looker.
Experience with cloud environments such as Microsoft Azure or AWS.
Advanced Excel skills (complex formulas, pivot tables, analytical modeling).
Proven ETL/pipeline experience with emphasis on documentation, orchestration, and operational reliability.
Demonstrated ability to manage and document complex cross-functional workflows from initiation through delivery.
Exceptional ability to communicate technical concepts to non-technical stakeholders.

Role signals / seniority

Senior-level role (“Sr.”) with leadership of complex projects and mentoring responsibilities.

About Vālenz Health®

Vālenz Health (Valenz) provides an integrated healthcare platform for employers, payers, providers, and members. It aims to reduce costs, improve quality, and elevate the patient experience through solutions spanning care navigation, payment integrity, plan performance, and provider verification.