Business Analyst

Staffingine LLC; Denver (CO); On-site; USD 83,000 - 131,000; Full time

Job summary

Staffingine LLC seeks a Business Analyst to elicit and document requirements for enterprise reporting and analytics in a Denver-based contract role. You will partner with product owners, data engineers, and architects to shape data services, define data products, and manage source system changes and integrations.

You will create user stories, epics, and test scenarios, collaborate daily with an Agile team, and help align backlogs across multiple value streams while ensuring data quality and

Qualifications

• 5+ years in Business/Product Analysis delivering data/analytics capabilities.
• Experience gathering enterprise reporting requirements and translating to user stories.
• Strong SQL skills and Power BI understanding for validation.
• Familiar with data warehouse concepts and semantic/metrics layers.

Responsibilities

• Elicit, analyze, and document requirements for enterprise reporting and analytics.
• Partner with Product Owners, Data Engineers, and Architects to shape data services.
• Gather requirements for source system changes and new integrations.
• Create artifacts: user stories, epics, acceptance criteria, data dictionaries.
• Collaborate daily with an Agile team; support backlog grooming and estimation.
• Maintain backlog priorities and manage cross-team dependencies and risks.
• Support release planning with data cutovers and go/no-go criteria.
• Coordinate stakeholder demos and feedback to meet business outcomes.
• Promote data governance, privacy, and security practices in requirements.

Skills

SQL

Power BI

Agile/Scrum

Stakeholder management

Data governance

Data quality

Dimensional modeling

Data warehousing

Education

Bachelor's degree in Business/Information Systems

Tools

Power BI

Microsoft Fabric/Azure data services

ETL/ELT tools

Data catalog tools

Job description

Job Title: Business Analyst
Job Location: Denver, Colorado
Job Type: Contract

Job Description:

Elicit, analyze, and document requirements for enterprise reporting and analytics, including KPI definitions, metric logic, dimensionality, refresh cadence, and security/access needs.

Partner with Product Owners, Data Engineers, and Architects to shape requirements for Core Data Services (e.g., curated datasets, data products, shared semantic/metrics layers, reference/master data, and data APIs).

Gather and document requirements for source system changes and new source system integrations, including data profiling, field-level mappings, transformation rules, and validation/reconciliation approaches.

Create and maintain artifacts such as user stories, epics, acceptance criteria, process flows, data dictionaries, mapping specifications, and test scenarios to support development and QA.

Collaborate daily with an Agile team; support backlog grooming/refinement, estimation readiness, and definition of done.

Maintain and communicate backlog priorities and sequencing across multiple value streams; identify, track, and manage cross-team dependencies, risks, and assumptions.

Support release planning by coordinating readiness, data cutovers, and deployment schedules; help ensure clear go/no-go criteria and post-release validation plans.

Coordinate stakeholder communications, demos, and feedback loops to ensure delivered solutions meet business outcomes and data quality expectations.

Support data governance practices by promoting consistent definitions, lineage awareness, stewardship engagement, and adherence to privacy/security requirements.

Define and document data governance and security requirements (e.g., classification, access controls/role-based security, privacy constraints, retention, auditability) and ensure they are incorporated into user stories and acceptance criteria.

Continuously identify opportunities to streamline requirements, improve data quality, and enhance self-service analytics and operational reporting.

Required Experience, Skills, & Competencies

5+ years of experience as a Business Analyst, Product Analyst, or similar role delivering data/analytics, integration, or platform capabilities.

Experience gathering requirements for enterprise reporting/analytics and translating them into user stories with clear acceptance criteria.

Demonstrated experience with data integration concepts including source-to-target mapping, transformations, data quality checks, and reconciliation/controls.

Working knowledge of data warehouse/lakehouse concepts, dimensional modeling, and/or semantic/metrics layers; familiarity with data product thinking is a plus.

Strong SQL skills for data exploration and validation; experience with Power BI (or similar BI tool) for understanding report requirements and testing outputs.

Experience working in Agile/Scrum environments, including backlog refinement, prioritization, dependency management, and release planning.

Excellent stakeholder management skills; ability to communicate complex data topics clearly to both technical and non-technical audiences.

Understanding of data governance, privacy/security, and quality practices (definitions, lineage, stewardship, access controls).

Experience eliciting and documenting data governance and security requirements, including role-based access, data classification, privacy controls, and audit/reconciliation expectations.

Education: Bachelor's degree in Business, Information Systems, Data Analytics, or a related field (or equivalent practical experience).

Preferred: Experience with Microsoft Fabric/Azure data services, ETL/ELT tools, API-based integrations, and/or data catalog/metadata tools.