Data Science Consultant

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Science Consultant based in the United States.

• Lead end-to-end Power BI and analytics engagements, serving as a primary client contact and managing requirements, timelines, deliverables, and expectations across multiple concurrent projects.
• Facilitate client workshops to understand business objectives, define KPIs, establish reporting requirements, and translate stakeholder needs into effective analytics solutions.
• Design, develop, and optimize interactive Power BI dashboards and reports using data visualization, usability, performance, and data storytelling best practices.
• Build and optimize data models using star schema principles, develop advanced DAX calculations and measures, and use Power Query to extract, transform, and structure data from multiple sources.
• Establish efficient data refresh strategies and performance optimization approaches while ensuring solutions are scalable, maintainable, and aligned with enterprise standards.
• Troubleshoot and resolve data, visualization, and performance issues, ensuring high-quality and reliable analytics deliverables.
• Present dashboards, insights, and recommendations to technical and business stakeholders, helping clients turn data into actionable decisions.
• Advise clients on data strategy, reporting improvements, governance, and analytics best practices while supporting adoption through training, documentation, and knowledge transfer.
• Delegate and review work performed by junior analysts and developers, providing technical mentorship and ensuring consistency and quality across project deliverables.
• Contribute to continuous improvement by identifying innovative approaches, new technologies, and opportunities to create additional value for clients.

• 5–8+ years of experience in data analytics, business intelligence development, or a related field, including 3–5+ years of hands-on Power BI experience.
• Proven experience leading end-to-end reporting, dashboard, or analytics initiatives from requirements gathering through implementation and ongoing improvement.
• Advanced expertise in Power BI, data modeling, data visualization, and dashboard development, with strong knowledge of DAX and Power Query (M).
• Experience working with diverse data sources, including SQL databases, APIs, data warehouses, Excel, and other structured or semi-structured sources.
• Strong understanding of data transformation techniques, performance optimization, data refresh strategies, and scalable analytics solutions.
• Strong analytical, problem-solving, organizational, and communication skills, with the ability to explain complex technical concepts clearly to clients and stakeholders.
• Demonstrated ability to manage multiple priorities, projects, and deadlines effectively in a fast-paced and sometimes ambiguous environment.
• Experience working in consulting or other client-facing environments is preferred.
• Familiarity with modern data platforms such as Snowflake, Azure, or Google BigQuery is a plus.
• Experience with ETL/ELT processes, data pipelines, Power Automate, Power Apps, Power BI Service administration, deployment pipelines, or data governance is advantageous.
• Experience supporting construction, capital projects, data center, or other complex enterprise environments is preferred.
• A proactive, entrepreneurial, accountable, and solution-oriented approach, with a willingness to learn, accept feedback, collaborate, and take ownership of outcomes.

• Competitive compensation.
• Remote work opportunities with flexible working arrangements.
• Health insurance.
• 401(k) plan with employer matching.
• Flexible paid time off.
• Philanthropic matching gift program.
• Opportunities for professional development and career growth.
• A collaborative, inclusive, and highly interactive remote work environment.
• Exposure to complex projects and enterprise clients, including Fortune 500 organizations.
• A culture that values innovation, individuality, accountability, and continuous learning.