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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.
Reasonable accommodation may be made to enable individuals with disabilities to perform essential duties.
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.
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
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
At Valenz, we celebrate, support, and thrive on inclusion, for the benefit of our associates, our partners, and our products. Valenz is committed to the principle of equal employment opportunity for all associates and to providing associates with a work environment free of discrimination and harassment. All employment decisions at Valenz are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, national, social, or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. We will not tolerate discrimination or harassment based on any of these characteristics.
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Sprachkenntnisse
- English
Hinweis für Nutzer
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