Data Analyst

On-Demand Group; Minnesota; On-site; USD 90,000 - 110,000; Full time

Job summary

On-Demand Group seeks a Senior Data Analyst to transform complex data into actionable insights driving financial and operational outcomes.

You will build scalable analytics assets for finance and revenue cycle management, partnering with executives on high-impact data problems and delivering data products with Databricks, SQL, R, and Power BI.

The role emphasizes business-facing and technical work, mentorship, and ownership over analytics solutions in a dynamic environment in Minnesota.

Qualifications

• 4-8 years in analytics roles, including 2+ years leading projects with cross-functional business stakeholders
• 2+ years writing data directly to a data warehouse
• 2+ years experience supporting member onboarding and/or call center teams
• Proven impact delivering analytics in complex environments (messy data, ambiguous scope) with measurable business outcomes
• Expert proficiency in statistics and financial analytics design, interpretation of results, and business case development
• Strong SQL skills: production-level queries on large, partitioned tables
• Knowledge of AI-assisted analytics development and tools
• Versioning and reproducibility: Git-based workflows with good documentation and peer review
• Proficiency in at least one BI platform (Power BI, Hex, Tableau)
• Proficiency in R for reproducible workflows, statistics, and basic modeling
• Executive storytelling to translate analyses into actionable recommendations
• Stakeholder partnership to influence cross-functional teams and drive alignment
• Product mindset to define problem statements, metrics, and adoption of analytics products
• Certifications in Databricks, dbt, Power BI, or cloud platforms (Azure preferred)
• Familiarity with data governance and compliance standards
• Analytics product delivery experience

Responsibilities

• Support high-impact analytics initiatives from problem framing through delivery; quantify value, design robust analyses, and communicate recommendations to business partners and executives
• Partner with finance and revenue cycle management stakeholders to develop new self-service reporting tools and capacities
• Develop core organizational KPIs and present on the health and success of the business to senior stakeholders
• Develop analytics products and solutions using Databricks, dbt, custom scripting, and BI tools
• Implement advanced analytics with scalable scripts and Databricks workflows to support modeling, automation, and repeatable analysis
• Build performant Databricks workflows (notebooks, jobs, SQL Warehouses) to wrangle large datasets, engineer features, and automate recurring analyses
• Partner with Data Engineering to design scalable data solutions, clarify upstream data requirements, and ensure analytics assets are built on reliable data foundations
• Own analysis quality through data validation, experiment design, sensitivity checks, reproducibility, versioning, and documentation
• Define and monitor KPIs tying operational reporting to business objectives
• Adopt BI development standards across the organization (naming conventions, documentation, quality checks, release practices)
• Stay current with emerging analytics methodologies and capabilities

Job description

The Senior Data Analyst turns complex data into clear, actionable insights that drive financial and operational outcomes. In this role, you will develop scalable analytics assets for finance and revenue cycle management, connect operational activity to financial performance, and partner independently with executive stakeholders on high-impact data problems. You will build reliable data products, conduct exploratory analysis, and translate findings into recommendations that create measurable business value.

Do you enjoy building systems you can take pride in, discovering insights that create measurable value, and working in a role that is both business-facing and technical? If you want to grow your data career with mentorship, resources, and meaningful ownership, this could be a great role for you.

The primary tools used in this role are Databricks, SQL, R, Power BI, and related Microsoft Fabric capabilities.

Key responsibilities include:

• Support high-impact analytics initiatives from problem framing through delivery; quantify value, design robust analyses, and communicate recommendations to business partners and executives.
• Partner with finance and revenue cycle management stakeholders to develop new self-service reporting tools and capacities
• Develop core organizational KPIs and directly present on the success and health of our business to senior stakeholders
• Develop analytics products and solutions using Databricks, dbt, custom scripting, and BI tools.
• Implement advanced analytics where applicable, using scalable scripts and Databricks workflows to support modeling, automation, and repeatable analysis.
• Build performant Databricks workflows (notebooks, jobs, SQL Warehouses) to wrangle large datasets, engineer features, and automate recurring analyses.
• Partner with Data Engineering to design scalable data solutions, clarify upstream data requirements, and ensure analytics assets are built on reliable data foundations.
• Own analysis quality through data validation, experiment and study design, sensitivity checks, reproducibility, versioning, and documentation.
• Define and monitor KPIs tying operational reporting directly to business objectives.
• Adopt and champion BI development standards across the organization, including naming conventions, documentation expectations, quality checks, and release practices.
• Stay current with emerging analytics methodologies, technologies, and capabilities.
• Required Experience4-8 years in analytics roles, including 2+ years leading projects with cross-functional business stakeholders
• 2+ years writing data directly to a data warehouse
• 2+ years experience supporting member onboarding and/or call center teams
• Proven impact delivering analytics in complex environments (messy data, ambiguous scope) with measurable business outcomes
• Required Technical SkillsStatistical and financial analytics expertise, including analysis design, interpretation of results, and business case development.
• Expert proficiency in writing production-level SQL with query optimization over large, partitioned tables
• Knowledge of AI-assisted analytics development, and AI-assisted analytics tools
• Versioning and Reproducibility: Git?based workflows; disciplined documentation, and peer review
• Comfort in at least one BI platform like Power BI, Hex, Tableau, etc.
• Proficiency in R to create reproducible workflows, conduct statistical testing, and develop basic models.
• Required Soft SkillsExecutive storytelling: translate complex analyses into clear narratives, recommended actions, and solutions that support decision-making.
• Stakeholder partnership: influence cross-functional partners, set expectations, drive alignment, and maintain trust through clear communication.
• Product mindset: understand and define problem statements, success metrics, and iterate with feedback – drives adoption of analytics products and solutions
• Preferred Skills and ExperienceCertifications in Databricks, dbt, Power BI, or cloud platforms (Azure preferred)
• Familiarity with data governance tools and compliance standards
• Product management training or analytics product delivery experience

The projected salary for this position is $100,000.

ODG is an equal opportunity employer that does not discriminate on the basis of race, color, religion, gender, sexual orientation, age, national origin, disability, or any other characteristic protected by law.