Analytical Lead

## Application of Data - Leverages appropriate sources of data, determines optimal statistical methods for integrating data, and identifies and addresses gaps and/or quality issues in data, in partnership with both internal and client teams. ## Data Analysis - Determines appropriate analytical techniques to address business questions, executes analyses and interprets results with actionable recommendations, and partners to build on others' analyses and forecasting. - Critically evaluates the choice of tools, techniques, and assumptions to ensure they are appropriate within context and provides feedback on features and functions. ## Improvement, Efficiency, and Innovation - Stays abreast of data privacy and governance rules and regulations and is aware of where to seek further expertise on such rules and regulations when needed. - Determines the impact of updated guidance on work activities and results and ensures work products are delivered in alignment with principles and controls. ## Orchestration and Collaboration - Works within and across internal and client teams to deepen expertise in data sources, methodologies, models, analytical tools and processes, and business and client needs by industry vertical to deliver results. - Engages stakeholders to identify and act on opportunities to leverage resources and solutions that were instrumental to success in similar contexts, and consults with client teams on decisions related to analyses and their interpretations. ## Presentation of Results - Develops elements of internal and client-facing presentations that tell stories of analyses, reports, data visualizations, self-service platforms, key performance metrics, and talking points. - Evaluates presentations and makes recommendations for improvements as appropriate. - Seeks to build trust with clients and ensures presentations are accessible, provide information accurately and clearly, and appropriately speak to the needs of the senior-level stakeholders both internally and externally. - Probes for insight to understand problems beyond stated concerns, begins to connect themes across work activities, and anticipates potential business questions. ## Requirements - Working knowledge of statistics, predictive modeling and data clustering/classification techniques. - 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience. - 2+ years experience using tools such as PowerBI/Tableau, DAX, R, SQL for data manipulation and visualization on large datasets. - 4+ years experience in statistics, mathematics, analytics, data science, engineering, computer science, marketing, business, data analysis and reporting, business intelligence, business and financial analysis, or related field. - 4+ years experience using tools such as PowerBI/Tableau, DAX, SQL for data manipulation and visualization on large datasets. - 2+ years in a partner or account management/client service/client-facing role. - Experience in digital media, data analysis, measurement, and data management. - Ability to communicate complex analyses to a mix of both technical and non-technical partners and clients. - Experience utilizing analytical tools to turn massive, dynamic datasets into actionable insights. - Experience pairing data visualization with storytelling to deliver persuasive presentations that influence varying audience levels. - Experience conducting, interpreting, and clearly communicating measurement analyses (e.g., incrementality, attribution, lift studies) to inform client decisions. - Experience and proficiency using PowerBI/Tableau, DAX, SQL for data manipulation and visualization. - Ability to travel 0% - 25% (air travel may be required), as appropriate.