Vālenz® Health is the platform to simplify healthcare – the destination for employers, payers, providers and members to reduce costs, improve quality, and elevate the healthcare experience. The Valenz mindset and culture of innovation combine to create a distinctly different approach to an inefficient, uninspired health system. With fully integrated solutions, Valenz engages early and often to execute across the entire patient journey – from care navigation and management to payment integrity, plan performance and provider verification. With a 99% client retention rate, we elevate expectations to a new level of efficiency, effectiveness and transparency where smarter, better, faster healthcare is possible.
About This Opportunity:
As a Sr. Data Analyst, you’ll take the lead on complex data implementations, with a strong focus on maintaining data integrity and keeping processes and workflows running smoothly. You’ll dig into data pipelines to identify opportunities for improvement and play a key role in building, documenting, and scaling data workflows across the organization.
Things You’ll Do Here:
- Lead and manage end-to-end data-driven projects, ensuring clear scoping, internal and external stakeholder alignment, timelines, and successful delivery.
- Develop and maintain comprehensive documentation for data workflows, pipelines, reporting logic, and systems definitions.
- Act as a primary liaison between technical teams and business stakeholders, translating complex data concepts into clear, actionable insights.
- Design and implement standardized processes and frameworks for data intake, data quality and validation, reporting, and delivery.
- Oversee and improve data workflows across teams, identifying inefficiencies and driving process optimization for sustainability and scalability.
- Facilitate cross-functional collaboration across Analytics, Engineering, Product, Data Integration, and Client Delivery teams.
- Lead project tracking and communication, proactively managing risks, dependencies, and stakeholder expectations.
- Work within Databricks and related data platforms to support, document, and optimize data workflows and pipelines.
- Work within Azure DevOps to identify, track and maintain individual and team initiatives.
- Act as a subject matter expert in data governance, data pipeline documentation standards, and technical best practices.
- Mentor team members on data policies, documentation standards, product scalability, and workflow efficiency.
- Conduct root cause analysis on complex data issues and ensure findings are documented and incorporated into process improvements.
- Ability and willingness to dive into data independently to validate outputs, troubleshoot issues, and support analysis.
- Perform other duties as assigned.
Reasonable accommodation may be made to enable individuals with disabilities to perform essential duties.
What You’ll Bring to the Team:- Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
- 5+ years of experience in data analysis, data operations, analytics, or a related role with demonstrated ownership of complex projects.
- Advanced proficiency in SQL for complex querying, optimization, and data validation.
- Strong experience with Databricks (or similar cloud data platforms), including working with large-scale datasets and supporting ETL workflows.
- Strong experience with data visualization tools such as Tableau, Power BI, or Looker.
- Experience working in cloud environments such as Microsoft Azure or AWS.
- Advanced Excel skills, including complex formulas, pivot tables, and analytical modeling.
- Proven experience working with ETL processes and data pipelines, with a strong emphasis on documentation, workflow orchestration, and operational reliability.
- Demonstrated experience managing and documenting complex, cross-functional data workflows from initiation through delivery in a clear and scalable way.
- Exceptional ability to communicate technical concepts to non-technical audiences and drive stakeholder alignment.
- Strong analytical, problem-solving, and critical-thinking skills, with the ability to navigate ambiguity and bring structure to complex problems.
A plus if you have:- Experience with automated data validation tools like Great Expectations, Soda, or Monte Carlo
- Experience working with healthcare data, medical claims systems, and/or benefit plan design documentation
- Experience or working knowledge of the No Surprises Act, Transparency in Coverage Rule, and Machine-Readable Files (MRFs)
Where You’ll Work: This is a fully remote position, and we’ll provide all the necessary equipment!
- Work Environment: You’ll need a quiet workspace that is free from distractions.
- Technology: Reliable internet connection—if you can use streaming services, you’re good to go!
- Security: Adherence to company security protocols, including the use of VPNs, secure passwords, and company-approved devices/software.
- Location: You must be US based, in a location where you can work effectively and comply with company policies such as HIPAA.
Why You'll Love Working Here
Valenz is proud to be recognized by Inc. 5000 as one of America’s fastest-growing private companies. Our team is committed to delivering on our promise to engage early and often for smarter, better, faster healthcare. With this commitment, you’ll find an engaged culture – one that stands strong, vigorous, and healthy in all we do.
Benefits
- Generously subsidized company-sponsored Medical, Dental, and Vision insurance, with access to services through our own products, Healthcare Blue Book and KISx Card.
- Spending account options: HSA, FSA, and DCFSA
- 401K with company match and immediate vesting
- Flexible working environment
- Generous Paid Time Off to include vacation, sick leave, and paid holidays
- Employee Assistance Program that includes professional counseling, referrals, and additional services
- Paid maternity and paternity leave
- Pet insurance
- Employee discounts on phone plans, car rentals and computers
- Community giveback opportunities, including paid time off for philanthropic endeavors