Data Analyst

Bachelor’s degree in Engineering, Computer Science, Data Analytics, Mathematics, Statistics, Economics, or a related discipline required; Master’s degree preferred
Minimum 3 years experience in a business analysis, data analytics, business analytics, statistical modeling role or closely related field
Must have a minimum of 3 years experience demonstrating data querying, exploration, and validation; SQL and DBT
Must have a minimum of 2 years experience demonstrating key insights through the use of data visualization, dashboards and/or decks

Work collaboratively with the Member Operations teams to define and analyze metrics to track the success of the overall business with a primary focus on member experience, service levels, and cross-functional business performance
Improve business understanding of our members, our products, and our profitability through data analysis, data visualization, and storytelling techniques
Drive cross-functional and enterprise-wide solutions, providing thought leadership within and beyond working group
Convey business insights derived from analysis and dashboards to influence decisions/outcomes by senior leadership
Design dashboards to monitor KPIs and business metrics in a readable and digestible format that allows quick insights into performance
Frame business problems in analytical language and converting business requirements into datasets, analyses, models, and dashboards
Interpret data with business context to discover patterns and identify trends that support growth and increase efficiencies, implementing enhancements to address control gaps
Build and automate tools to surface key data to stakeholders across a broad range of data literacy levels
Provide ad hoc analysis as needed across a diverse set of teams and needs to support existing customers, future sales, and strategic business decisions
Work cross-functionally with the Data Engineering and Data Science teams

Ability and willingness to work in-office five days per week
Experience within a management consulting firm
Experience demonstrating statistical modeling, applied mathematics or STEM; R or Python
A high degree of proficiency with at least one BI tool (Tableau preferred), including experience with visualization best practices
Excellent verbal communication and writing skills, with the ability to distill complex information into clear, engaging content and comfort engaging with senior leadership
Results-oriented mindset with an intense focus on achieving both short and long-term goals
A proven track record of problem-solving based on analytics to support business recommendations
Ability to handle sensitive information with confidentiality
Ability to thrive in a fast-paced environment when there are changing priorities
Ability to be a team player with a strong, self-managing work ethic