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Gainwell TechnologiesVerified from Gainwell Technologies' careers page · SuccessFactors

Senior Business Analyst - Data Analytics & Reporting Lead - SME - Roseville, CA

  • Any city, California, USA
  • On-site
  • 2 Years
  • Posted Nov 12, 2026

Visa sponsorship: the posting does not say.

Gainwell Technologies had H-1B petitions approved for 72 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. See the record

At a glance

Senior Business Analyst - Data Analytics & Reporting Lead - SME - Roseville, CA at Gainwell Technologies, an on-site role based in Any city, California, USA. Experience level: 2 Years. Posted on 12 November 2026, read from Gainwell Technologies' own careers page (SuccessFactors), which RealAnalystJobs re-checks daily and removes the role when it closes. Gainwell Technologies has approved H-1B petitions on USCIS record (employer-wide, not a promise for this role).

About this role

Great companies need great teams to propel their operations. Join the group that solves business challenges and enhances the way we work and grow. Working at Gainwell carries its rewards. You’ll have an incredible opportunity to grow your career in a company that values your contributions and puts a premium on work flexibility, learning, and career development. Summary The Senior Business Analyst - Data Analytics & Reporting Lead - SME - Roseville, CA at Gainwell, is a hands-on analytics leader responsible for establishing and operating reliable reporting, data governance, and performance-management capabilities for the contract. This role translates contractual, operational, and client requirements into governed metrics, automated reporting, executive insights, and sustainable processes. The role leads cross-functional analytics work, mentors team members, manages priorities and risks, and serves as a trusted advisor to contract and operational leadership. Your role in our mission Contract Delivery and Governance • Own the analytics and reporting workstream across the lifecycle, including solution design, build and implementation, transition to operations, stabilization, and continuous improvement. • Translate contract requirements, service-level agreements (SLAs), key performance indicators (KPIs), regulatory obligations, and client commitments into clear metric definitions, data rules, reports, dashboards, and evidence packages. • Establish reporting governance, including metric definitions, data ownership, source-to-report lineage, refresh schedules, validation controls, approval paths, exception handling, and change control. • Maintain a reporting inventory and delivery calendar that identifies business purpose, audience, source systems, frequency, owner, dependencies, and contractual due dates. • Partner with contract leadership to identify reporting risks, dependencies, data gaps, and decisions requiring escalation; recommend practical mitigation plans and track them through closure. Analytics, Reporting, and Technical Delivery • Collaborate with operations, technology, compliance, quality, finance, and client stakeholders to gather requirements and define decision-ready insights. • Architect and improve data pipelines, semantic models, SQL queries, automated workflows, reports, and Power BI or comparable business intelligence dashboards. • Build data-quality controls and reconciliation processes that confirm detail-level records align with KPI totals and contractual submissions. • Analyze trends, root causes, exceptions, capacity, workload, productivity, timeliness, and SLA performance; clearly distinguish observed facts from assumptions and recommendations. • Improve report reliability, refresh time, usability, and maintainability by reducing manual steps, duplicate logic, and unsupported one-off processes. • Publish and maintain clear documentation, including requirements, business rules, data dictionaries, standard operating procedures, test scripts, release notes, and user guidance. Leadership and Team Expectations • Lead projects and workstreams from intake through implementation, including scope, milestones, assignments, dependencies, testing, stakeholder communication, and post-implementation support. • Set clear expectations for quality, timeliness, documentation, and accountability; follow up on commitments and address delivery risks early. • Provide day-to-day functional leadership, coaching, peer review, and technical guidance to analysts and reporting partners, whether or not the role has direct reports. • Prioritize work based on contractual impact, operational value, risk, effort, and available capacity; communicate trade-offs and escalate conflicts with recommended options. • Create an inclusive, collaborative environment in which team members can raise risks, challenge assumptions, learn from defects, and improve processes without losing accountability. • Develop team capability through reusable standards, knowledge transfer, cross-training, succession coverage, and constructive feedback. • Lead meetings effectively by defining the purpose, driving decisions, documenting actions and owners, and ensuring follow-through. Stakeholder and Executive Partnership • Serve as the primary analytics advisor for assigned DBO reporting areas and build trusted relationships with client, contract, operational, and technical leaders. • Present complex findings to technical and non-technical audiences using concise narratives, clear visuals, and actionable recommendations. • Facilitate requirements and metric-definition sessions, resolve conflicting interpretations, and document decisions and approvals. • Provide transparent status reporting that identifies progress, risks, decisions needed, ownership, and expected completion dates. • Support audits, operational reviews, client meetings, and performance-improvement initiatives with traceable data and defensible reporting logic. What we're looking for • 5 or more years of experience in data analytics, business intelligence, reporting, or a closely related discipline, including responsibility for complex or cross-functional deliverables. • Demonstrated experience leading projects, mentoring analysts, or serving as a functional or technical lead. • Experience translating business, client, or contractual requirements into governed metrics, reports, dashboards, and operational processes. • Proficiency with SQL and experience with Python or another data scripting language. • Experience developing in a business intelligence platform such as Microsoft Power BI, Cognos, or Tableau. • Experience querying, integrating, validating, and analyzing large or diverse data sets. • Ability to explain complex data concepts, risks, and recommendations to both technical and non-technical audiences. • Strong organization, prioritization, stakeholder-management, and written documentation skills. • Ability to work i

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