Duration: 6 months to start
Position Summary
The Power BI Analytics Engineer designs, develops, and maintains complex analytics products, data models, dashboards, and reporting solutions that enable data-driven decision making across the organization. This role partners closely with business stakeholders to gather and translate requirements into scalable analytics solutions, while providing technical leadership across data modeling, visualization design, testing, and delivery activities.
The Power BI Consultant operates across multiple technology domains and data assets, leading feature-level solution design, identifying opportunities for process improvement, and driving the successful delivery of analytics products that provide measurable business value.
Key Responsibilities
Analytics Solution Development
- Design, develop, and maintain complex analytics products, dashboards, reports, and data solutions spanning multiple technology domains and data assets.
- Build and optimize Power BI semantic models, dashboards, and reports using DAX, Power Query, and industry best practices.
- Develop and implement logical and physical data models that support scalable analytics architectures.
- Write, optimize, and maintain SQL code supporting reporting, analytics, and data transformation initiatives.
- Leverage advanced technologies and tools, including Python, automation frameworks, and AI-enabled solutions, to improve performance and solve business problems when standard toolsets are insufficient.
- Identify, investigate, and resolve data anomalies and data quality issues.
- Gather, analyze, and document business requirements and translate requirements into actionable user stories.
- Plan and conduct stakeholder interviews to understand business processes, reporting needs, opportunities, and challenges.
- Develop and maintain product backlogs while coordinating dependencies across related solutions and initiatives.
- Participate in discovery workshops and requirements discussions to drive solution development and stakeholder alignment.
- Partner with business stakeholders to ensure analytics solutions align with organizational objectives and user needs.
- Participate in architecture and design sessions while contributing to peer review activities and solution quality standards.
- Drive visualization and dashboard design discussions at the feature level.
- Provide recommendations regarding visualization approaches, reporting structures, KPI presentation, and user experience considerations.
- Promote data storytelling and effective visualization practices that improve adoption and decision-making.
- Create, document, and execute test cases to ensure analytics products deliver accurate and reliable results.
- Collaborate with development teams to estimate testing effort and support quality planning activities.
- Recommend design improvements and defect corrections throughout the development lifecycle.
- Train and mentor team members on testing methodologies, validation practices, and analytics quality standards.
- Serve as a subject matter expert in the efficient collection, organization, and use of data.
- Apply a strategic approach to data planning that creates efficiencies and synergies across teams and business processes.
- Select appropriate analytical models and tools to support business recommendations and decision-making.
- Anticipate bottlenecks between teams and recommend ongoing process improvements.
- Lead implementation efforts for new processes, tools, and approaches that improve operational effectiveness.
- Partner with stakeholders to define success measures and evaluate outcomes of process improvement initiatives.
- Develop and manage project plans for assigned analytics initiatives.
- Monitor project effort, timelines, risks, and delivery milestones.
- Proactively identify issues and propose appropriate resolutions.
- Influence cross-functional stakeholders and project teams to achieve successful outcomes, even without formal authority.
- Communicate project status, risks, and recommendations to leadership and stakeholders.
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business Analytics, Engineering, or a related field, or equivalent experience.
- 5+ years of experience in analytics engineering, business intelligence, reporting, or data analytics.
- Advanced experience developing enterprise dashboards and reporting solutions in Power BI.
- Strong SQL development and data modeling expertise.
- Experience gathering business requirements and translating requirements into user stories and analytics solutions.
- Experience working within Agile delivery frameworks and managing work through backlogs and iterative development processes.
- Strong analytical, problem-solving, communication, and stakeholder management skills.
Preferred Qualifications
- Experience with Tableau or other enterprise visualization platforms.
- Experience with Python, R, or automation technologies.
- Experience with data orchestration, scheduling, and ETL processes.
- Experience delivering complex analytics solutions across multiple data sources and technology platforms.
- Experience mentoring, coaching, or training team members.
- Healthcare analytics experience preferred.
- Experience utilizing AI-enabled tools such as Microsoft Copilot, ChatGPT, Claude, or similar technologies.
Key Competencies
- Analytical Acumen
- Data Modeling & Architecture
- Visualization Design & Data Storytelling
- Stakeholder Consulting
- Creative & Critical Thinking
- Process Improvement
- Project Leadership
- Strategic Data Planning
- Technical Mentorship
- Cross-Functional Collaboration
- Influence Without Authority
#LI-Hybrid
