Data Analytics Manager

About the Role

Key Responsibilities

• Design, develop, and maintain scalable Power BI dashboards, reports, and data models.
• Optimize performance of Power BI solutions through efficient DAX, Power Query (M), and data modeling techniques.
• Integrate data from multiple sources including SQL databases, cloud platforms, and APIs.
• Ensure data accuracy, consistency, and security across all BI assets.
• Lead the design, development, and optimization of enterprise-level Power BI dashboards, reports, and data models.
• Partner with business units (Finance, Operations, Sales, Marketing, etc.) to understand strategic goals and translate them into analytical solutions.
• Conduct deep-dive analyses to uncover trends, anomalies, and opportunities that drive business performance.
• Ensure data governance, quality, and consistency across all BI assets.
• Collaborate with business leaders to understand strategic goals and translate them into analytical requirements.
• Conduct in-depth data analysis to identify trends, patterns, and opportunities for process improvement.
• Develop and present business cases, KPIs, and performance metrics to support decision-making.
• Act as a liaison between technical teams and business units to ensure alignment and clarity.
• Create and maintain comprehensive documentation for BI solutions, including data models, ETL processes, and DAX logic.
• Develop user manuals, onboarding guides, and training materials.
• Create executive summaries and business impact reports.
• Develop internal knowledge base articles and contribute to BI enablement initiatives.
• Translate technical concepts into business-friendly language for stakeholders at all levels.
• Act as a subject matter expert (SME) for Power BI and data storytelling within the organization.
• Mentor junior analysts and contribute to BI best practices.
• Collaborate with IT, data engineering, and business leaders to align BI initiatives with organizational strategy.
• Evaluate and recommend new tools, technologies, and methodologies to enhance BI capabilities.

Requirements

• 4 years of experience in Business Analytics, Computer Science, Computer Information Systems, Information Systems, Information Technology, or related field, or equivalent work experience.
• 3+ years of Power BI Development Experience.
• Strong proficiency in SQL and Azure SQL Server, with hands-on experience in data modeling and schema design.
• Experience with Azure Big Data technologies, including Azure Data Factory (ADF) and Azure Data Lake.
• Experience with design and implementation of robust data pipelines, ETL processes, and data architectures.
• Experience with data modeling and data quality assurance best practices.
• Experience delivering data mapping and accompanying documentation.
• Familiarity with SSRS, Power BI, Python, R, Power Query is a plus.
• Strong problem-solving, analytical, and troubleshooting skills.
• Excellent communication and collaboration abilities, with the ability to work with cross-functional teams.
• Knowledge of system design, development, implementation, and user support principles.
• Experience with project management principles.
• Ability to communicate technical information to a non-technical audience.
• Ability to read, analyze, and interpret business periodicals, technical procedures, or regulations.
• Ability to solve practical problems and interpret instructions in various formats.
• Knowledge of Microsoft Word, Excel, PowerPoint, and report writing and project planning software.
• Experience working in an ERP environment is desirable.
• Regularly lift and/or move up to 10 pounds and occasionally up to 25 pounds.
• Specific vision abilities include close, distance, peripheral, depth perception, and focus adjustment.

Nice to Have

• Power BI and Business Analyst certifications.

Qualifications

• Educational background in relevant fields or equivalent work experience.