Senior BI Analyst

Job Summary

Job Description

JOB SUMMARY Under minimal supervision, partner with stakeholders to develop and maintain business intelligence, reporting, and analytics solutions.

Drive business decisions by providing quantitative and qualitative analysis and reporting of patterns, insights, and trends to decision-makers.

Develop, monitor, and report department KPIs and metrics, translating business requirements into the appropriate analytics solution.

Provide project oversight, coaching, and mentoring to BI team members and business partners as needed.

Primary focus:
Serve as Lead Power BI Developer (5–10 years) owning Power BI solutions end-to-end (inception, requirements, design, build, release, and support) while acting as Product Owner / Project Manager for assigned BI products and initiatives.

CORE RESPONSIBILITIESPower BI Lead Development (Primary)
Lead the full lifecycle of enterprise Power BI solutions: requirements intake, semantic model design, report/dashboard development, testing, deployment, adoption, and production support.

Create, review, and performance tune Power BI semantic models and reports; ensure accuracy, performance, and meaningful visual stories.

Establish and enforce Power BI development standards (semantic modeling, DAX patterns, naming conventions, data validation, security, and performance optimization).Design and implement governed, reusable KPI definitions and metric layers to enable consistent reporting across teams.

Product Ownership & Project Management (Primary)
Own BI products and project execution from conception to completion: roadmap planning, backlog grooming, prioritization, acceptance criteria, release planning, and stakeholder communication.

Manage delivery timelines, scope, risks, dependencies, and cross-functional coordination (business, data engineering, platform teams, vendors).Participate as core member of Agile team across planning, analysis, design, development, and testing activities including participation in scrum ceremonies.

Tableau Development (Required)
Produce actionable Tableau reports and dashboards showing key performance indicators, improvement opportunities, and root cause analysis.

Create, review, and performance tune Tableau dashboards; ensure dashboards are accurate and display meaningful visual stories.

SQL, Data Modeling & Analytics (Required)
Conduct data analysis in support of analytic solutions; interpret data, analyze results, and provide insights to determine operational impact, trends, and opportunities.

Develop complex SQL and procedures, including performance tuning.

Develop and maintain scalable data models supporting BI solutions (semantic layer mindset, reusable logic, strong documentation).Python & Advanced Analytics (Required)
Use Python for analytics, automation, data quality validation, repeatable transformations, and/or pipeline support aligned to BI needs.

Power Apps Development (Required)
Design, develop, and support Power Apps solutions (primarily Canvas Apps) to enable insight-to-action workflows tied to reporting outcomes.

Integrate apps with data sources and BI experiences as needed to streamline user workflows and reduce manual processes.

Stakeholder Partnership & Support Work with business users to identify analytics requirements and provide recommendations on analysis options to solve business problems.

Provide reporting solutions and respond to ad-hoc report requests across multiple business areas.

Troubleshoot BI tools, systems, and software; track and resolve performance and production issues.

Provide project oversight, training, coaching, and mentoring.

BASIC QUALIFICATIONS Education

Bachelor’s Degree.

Relevant Work Experience5–10 years of Power BI lead developer experience, owning solutions from inception through development, release, and support (semantic models, DAX, performance tuning, governance).At least 5-10 years of dashboard development experience using Tableau or similar technology.

At least 5
-10 years of experience leveraging SQL for data analysis and performance tuning.

Additional At least 5 years of data modeling experience.

At least 5 years of experience analyzing and reporting data to identify issues, trends, or…