Business Analyst - Data Analytics

At CSpring, we believe in the power of data to drive decisions and real-world impact. We’re a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex problems, gain insights, and achieve measurable results.

We're seeking talented professionals who are collaborative, curious, and committed to making a difference that thrive at the intersection of data, technology, and business strategy. Whether you're passionate about transforming public programs, enabling executive decision-making, or modernizing legacy systems, you'll find meaningful work and purpose here.

Why You’ll Love Working Here

• Purposeful Projects – Improve systems that serve real people by delivering smarter data, streamlined processes, and strategic insight.
• People-First Culture – We’re as committed to your growth as we are to delivering high-impact solutions. You’ll find support, autonomy, and community here.
• Strategic, Hands-On Work – From data architecture and documentation to client workshops and solution delivery, you’ll influence every step of the process.
• Collaborative Trust – Our clients rely on us to listen carefully, deliver consistently, and guide wisely. We partner with integrity, curiosity, and heart.

What You’ll Do

You will own the analysis work on data and technology projects from first conversation through user acceptance and go-live.

• Lead requirements elicitation with business stakeholders, technical teams, and client leadership through interviews, workshops, and working sessions.
• Translate business needs into clear, testable documentation — business requirements, functional specifications, user stories, and acceptance criteria.
• Map current and future state processes and make the gaps between them visible and specific enough to act on.
• Profile and analyze source data to confirm that requirements are actually supportable, including writing your own SQL to check assumptions.
• Build source-to-target mappings, data dictionaries, and business rule documentation alongside data engineering teams.
• Serve as the connective tissue between business and technical stakeholders, keeping both groups working from the same understanding.
• Support agile delivery — refine the backlog, size and clarify stories, and participate in sprint ceremonies with the delivery team.
• Plan and coordinate user acceptance testing, including test scenarios, business tester onboarding, and defect triage through resolution.
• Identify risks, dependencies, and scope changes early, and bring them to the project manager with options rather than just problems.
• Present findings, recommendations, and status to client stakeholders in language they can act on.