Sr. Data Analyst

Role Overview

As a Sr. Data Analyst at Vālenz Health®, you will lead complex data implementations with a strong focus on data integrity and keeping data workflows running smoothly. You will analyze data pipelines to identify improvements and help build, document, and scale data workflows across the organization.

Responsibilities

• Lead and manage end-to-end data-driven projects, including scoping, stakeholder alignment, timelines, and delivery
• Create and maintain documentation for data workflows, pipelines, reporting logic, and system definitions
• Serve as a liaison between technical teams and business stakeholders, translating complex data into actionable insights
• Design and implement standardized processes/frameworks for data intake, data quality, validation, reporting, and delivery
• Oversee and improve data workflows across teams, identifying inefficiencies and driving process optimization for scalability
• Collaborate with Analytics, Engineering, Product, Data Integration, and Client Delivery teams
• Lead project tracking and communication, proactively managing risks, dependencies, and expectations
• Work in Databricks (and related platforms) to support, document, and optimize data workflows and 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 teammates on data policies, documentation standards, scalability, and workflow efficiency
• Perform root cause analysis on complex data issues and ensure findings feed into process improvements
• Independently validate outputs, troubleshoot issues, and support analyses

Requirements

• Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or related field
• 5+ years of experience in data analysis, data operations, analytics, or related roles with demonstrated ownership of complex projects
• Strong proficiency in SQL for querying, optimization, and data validation
• Strong experience with Databricks (or similar cloud data platforms), including large-scale datasets and ETL support
• Experience with data visualization tools such as Tableau, Power BI, or Looker
• Cloud experience with Microsoft Azure or AWS
• Advanced Excel skills (complex formulas, pivot tables, analytical modeling)
• Proven experience with ETL processes and data pipelines, with emphasis on documentation, orchestration, and operational reliability
• Demonstrated ability to manage and document complex cross-functional data workflows from initiation through delivery
• Exceptional communication skills, especially translating technical concepts to non-technical audiences

Nice-to-Haves

• None explicitly stated beyond the listed tools and expertise.