Our client is dedicated to expanding their Digital Solutions team to meet the evolving needs of their organization and customers in the government, health, and human services sectors. Their commitment to Digital Transformation is a key component of our long-term corporate strategy, and we strive to provide exceptional services that align with the mission requirements of our clients. Their success is defined by the outcomes we deliver, and we employ design thinking, lean, and agile methodologies to address complex challenges and develop innovative solutions.

To further enhance otheir digital capabilities, we are seeking a highly skilled Senior Data/Business Analyst who can leverage advanced analysis techniques to identify meaningful insights that support data-driven decision-making. As a member of their Digital Solutions team, the Senior Data/Business Analyst will collaborate with Product and Capability Owners to gain a deep understanding of their offerings, define data requirements and KPIs, and develop actionable metrics that showcase the value of their solutions. The Senior Data/Business Analyst will be responsible for creating reports, dashboards, and conducting analysis to support ongoing projects and strategic initiatives.

The ideal candidate will possess advanced skills in data visualization tools, data analysis, and business analysis, and be comfortable leading project activities as required. The Senior Data/Business Analyst should be self-motivated, capable of building strong relationships, and able to produce high-quality results independently.

Essential Job Duties

• Supports the Digital product owners in defining the BI and analytics product vision, goals and strategy and communicate those to stakeholders, including project business owners, clients, development team and other internal system owners.
• Function as point of contact for data and analytical usage across multiple capabilities, and guide partners on product performance and solution improvement/maturity options.
• Analyze extracted data, identify trends and provide insights and analyses around Digital and project data.
• Design, develop and implement new metrics, functions, and scripts as KPIs and in existing BI/Dashboards as needed.
• Ad hoc tool development to support operational and underserved analytical areas.
• Apply advanced methods to analyze Digital solutions data and derive meaningful, actionable insights for stakeholders and business development partners
• Serve as subject matter expert (SME) in the area of data and analytical product usage for peer analysts and operational stakeholders – particularly in the appropriate uses and limitations of statistical and analytical applications
• Inform operational partners on product performance as well as product usage trends
• Consult with analytical leaders to understand current and future business goals and strategies, and ensure that methods and work products are aligned
• Balance accuracy of analysis with needs for rapid response
• Develop partnerships with technical peers and business partners
• Project Management activities

Education and Experience Requirements

• BS in a quantitative field such as Statistics, Mathematics, Management Information Systems (MIS), Economics, Computer Science, Business Analytics, or related quantitative field
• Advanced degree in Computer Science, Mathematics, Information Systems, Business Analytics, MIS, Engineering, or a related technical field preferred.
• 5 years of experience performing quantitative data analysis and business analysis
• 5 years of experience with data visualization and business intelligence tools or packages (SSRS, Power BI, Tableau, MicroStrategy, etc.) with ability to lead and train on best practices of BI use.
• 5 years of experience quantifying and prioritizing projects that require heavy data analysis
• 5 years of experience working directly with business users and requirements documentation
• Ability to present data in a simple, clean, concise visual and written manner
• Statistical experience and understanding of distributions, statistical testing, regression, etc.
• A strong passion for empirical research and for answering complex questions with data
• Experience with solution/vendor evaluation and evaluating product ROI
• Exposure to machine learning techniques and algorithms
• Exposure to (or strong desire to learn) common data science toolkits, such as R, Weka, Python/NumPy, etc