The BI & Data Solutions Manager leads KCI’s internal data and analytics function, overseeing the people, platforms, and delivery practices that provide the trusted data foundation for enterprise reporting, dashboards, and emerging AI use cases.
Responsibilities
Own and manage the BI & Data Solutions team, directing work and setting priorities and capacity across data engineering and BI/reporting.
Provide overall technical direction and roadmap ownership, resolving tradeoffs between data engineering and BI priorities.
Balance business-as-usual report and dashboard requests with longer-term data platform initiatives and own the team’s prioritization queue.
Own intake and triage for new report and dashboard requests, ensuring transparent and defensible prioritization across stakeholder demands.
Mentor team members in time management, task execution, prioritization, and reliable delivery.
Requirements
Bachelor’s degree in a technical, analytical, or business-related field
Design and govern enterprise semantic architectures, ontologies, and knowledge graph platforms to enable AI-ready knowledge systems.
Compensation
The annual salary for this position is between $ 130,000 - $ 160,000 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Responsibilities
Design and govern enterprise ontologies, semantic models, and knowledge graph architectures
Lead development of business domain models and governed vocabularies
Define and maintain enterprise business glossaries, KPI registries, and governance processes
Architect graph-based knowledge platforms using technologies such as Spanner Graph, Neo4j, Amazon Neptune, TigerGraph, GraphDB, Dataplex, BigQuery, and Vector Search
Partner with engineering, AI, and platform teams to establish governance controls, security standards, and AI architecture guardrails
Requirements
Nice to have: Spanner Graph GQL
Nice to have: knowledge architecture for agentic AI
The Senior Power BI & Data Analyst transforms complex commercial, operational and financial data into actionable insights that support strategic decisions, revenue growth, profitability and operational efficiency.
Responsibilities
Design and maintain enterprise Power BI dashboards, reports and semantic models.
Build advanced DAX measures, Power Query transformations and dimensional models.
Integrate ERP, CRM, finance and supply chain data; implement row-level security and refresh monitoring.
The analytics leader for the Customer Organization, responsible for helping CX leadership understand, explore, define, and deliver scalable analytics and enterprise reporting that enables effective performance management, business growth, operational excellence, and continuous improvement in customer experience.
Compensation
Salary Range $137500.00 To $182000.00 / year
Responsibilities
Serve as the primary analytics and insights partner to CX leadership, helping leaders define strategic questions, customer experience measures, operating metrics, and decision needs.
Build a deep understanding of HealthEquity's business model and how client, member, broker, and partner experiences connect to business performance, retention, growth, and operational efficiency.
Quantify the value at stake—including retention, revenue, cost to serve, operational risk, and customer experience impact—and use it to build business cases, guide investment decisions, and prioritize the CX analytics roadmap.
Translate business priorities into measurable outcomes, analytics strategies, reporting products, and action plans that drive customer and business results.
Own the CX analytics roadmap, aligning investments to customer priorities, value at stake, strategic business objectives, executive priorities, operational reporting needs, regulatory and risk considerations, automation opportunities, and measurable business value.
Lead internal technical authority overseeing data architecture projects for external partners, ensuring alignment with enterprise standards and strategic goals.
Compensation
The pay range for this position is $80.00 - $87.00/hr.
Responsibilities
Provide expert oversight for data projects delivered by external partners
Review partner-created architecture, code, and technical designs
Participate in meetings with implementation partners and internal stakeholders
Monitor progress and ensure adherence to operational principles
Identify and flag deviations, risks, or quality concerns
The Sr Analyst, Revenue Reporting will help drive profitable revenue growth at KeHE by developing dashboards and ad hoc analysis that deliver strategic insights.
Compensation
Pay Range: $95,700.00/Yr. - $140,239.00/Yr.
Responsibilities
Develop expertise in KeHE’s revenue, profitability, and KPI data, existing reporting, and standard measurements with areas of focus including revenue by channel and product, event ROI, pricing impact, gross-to-net performance, customer churn, and margin dynamics.
Design, optimize, and maintain effective Power BI semantic models to enable scalable, high-performance reporting.
Establish standardized measures and reusable data structures to ensure dashboard consistency throughout the organization.
Build and maintain a structured weekly, monthly, and quarterly reporting cadence that consolidates insights from multiple sources into actionable, easy-to-digest summaries aligned to Commercial and Revenue Management priorities.
Analyze historical performance and trends to identify actionable insights and present findings in a clear, concise format tailored to executive and commercial stakeholders.
The Information Modeler - Analyst is responsible for all data related aspects of developments that require new or changed data, focusing on data modeling, architecture alignment, and business requirements within the bank.
Responsibilities
Modelling new features in conceptual and logical model.
Assist and advice in mappings from country models to the global harmonized model.
Consult ING domains on usage of the model and data concepts.
Define and maintain business definitions, taxonomy, controlled vocabularies and reference data.
Contribute to development of capabilities and services (API’s, notifications) from the model viewpoint.
Requirements
Master’s degree in information science or an equivalent qualification
Facilitates complex projects from proposal through post‑implementation, leading functional specifications, testing, and stakeholder coordination.
Compensation
M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $103,000.00 - $171,600.00 Annual (USD). The successful candidate’s particular combination of knowledge, skills, and experience will inform their specific compensation.
Responsibilities
Prepare well‑documented functional specifications, test plans, and test scripts
Research and analyze complex data to ensure accurate functional design
Serve as mentor to less experienced staff and provide application training
Schedule and facilitate project team meetings and document minutes
Meet with business clients to discuss application changes and compliance requirements
Requirements
Bachelor's degree
8 years higher education
Nice to have: Advanced hands‑on expertise in Oracle FDI and Oracle Analytics Cloud
Nice to have: Deep understanding of General Ledger and financial reporting
Nice to have: Experience designing and supporting integrations or extracts for downstream platforms
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Director, CX Data and Customer AnalyticsHealthEquity · Remote, US
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Sr Analyst, Revenue ReportingKeHE Distributors, LLC · Naperville, US