This role will work closely with business stakeholders, BI/analytics teams, data engineers, and technical resources to understand business needs and translate them into actionable reporting, analytics, and data solutions.
Partner with business and technology stakeholders to understand business objectives, reporting needs, challenges, and opportunities.
Lead requirements gathering and discovery sessions for BI, analytics, reporting, and data initiatives.
Translate business requirements into BRDs, functional requirements, user stories, acceptance criteria, workflows, and process/data flows.
Work with stakeholders to define KPIs, metrics, dashboards, reporting, and visualization requirements.
Facilitate discussions around Power BI dashboards and reporting solutions and translate business needs into actionable technical deliverables.
Understand and analyze data architecture, relational data models, data relationships, dependencies, and data flows.
Identify data quality issues, risks, impacts, gaps, and downstream dependencies during requirements and discovery activities.
Partner with data architects, data engineers, BI developers, and analytics teams to translate business requirements into data and reporting solutions.
Support initiatives involving Microsoft Fabric, Power BI, OneLake, Lakehouse, Data Warehouse, and Data Pipelines.
Perform current-state/future-state analysis and identify opportunities for process improvement, automation, and data modernization.
Support data analysis and validation using SQL when needed.
Participate in UAT, implementation, documentation, training, and solution adoption.
Communicate project findings, recommendations, KPIs, and business value to senior stakeholders.
Bachelor's degree in Business, Information Technology, Computer Science, Data Analytics, or related field.
12+ years of Business Analyst / Business Systems Analyst experience, preferably supporting BI, analytics, reporting, or data initiatives.
Strong experience with Power BI and Data Analytics/Business Intelligence.
Experience with data architecture, relational data modeling, data relationships, and dependencies.
Strong requirements gathering and stakeholder management experience.
Experience defining KPIs, metrics, dashboard, and reporting requirements.
Understanding of data quality, data risks, impacts, and dependencies.
Experience creating BRDs, FRDs, user stories, process flows, and acceptance criteria.
Strong analytical, problem-solving, communication, and facilitation skills.
Experience working with both business stakeholders and technical/data teams.
Experience with Agile, Waterfall, or hybrid delivery methodologies.
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