Responsibilities

• Gather, manipulate and analyze disparate data. Use database query techniques, spreadsheet software and other platforms to provide management with statistics, forecasts, and analysis.
• Meets with various departments and stakeholders to determine reporting needs and creates processes for data collection where necessary.
• Communicate meaningful insights learned from data analysis to senior and executive management in a non-technical manner. Perform data preparation, statistical model framework design, estimation, performance and diagnostic testing, implementation, and ongoing monitoring to predict and/or optimize desired objectives from business stakeholders.
• Gather, analyze, and report data from multiple systems in order to measure key processes, member behavior, and overall trends with a focus on member experience.
• Manage Member loyalty program reporting, analysis, and data feeds to enable targeted marketing, member lifetime value/growth opportunities, member loyalty and organizational improvement.
• Support and manage a wide variety of member and market research studies and initiatives, while maintaining a “roll up your sleeves, and dig into the data/findings” mindset and approach to your work.
• Manage primary and secondary research. Collect and analyze market and member data such as segmentation, data mining for predictive insights, member profiling, potential markets, and more for strategic/operational insights and actionable plans.
• Work collaboratively with business partners and cross-functional teams to support a fact-driven and “through consumers’ eyes” decision-making culture.
• Develop actionable insights based on synthesis of multiple research and analytic learnings; present insights and recommendations to business stakeholders across all levels of the organization.
• Recommend appropriate analytic approaches for identifying new ways to apply research and analytics to grow the business.

Requirements

• Minimum of two years working with data and enhanced reporting analytics or related experience preferably with a financial institution.
• Strong database skills, including working with advanced data sets, pivot tables, advanced database and statistical functions and methods.
• Strong analytical skills including analysis, data collection, process mapping and troubleshooting for root cause.
• Demonstrated proficiency with SQL, Python, and Excel.
• Experience with a modern cloud data platform such as Databricks, Snowflake, or BigQuery is a strong plus, and a visualization tool such as Tableau or PowerBI.
• Advanced analytical skills, such as data collection and analysis, as well as process mapping and troubleshooting for root-cause.
• Exceptional writing skills, including the ability to create written narratives that summarize findings of data analysis intended for an executive audience.
• Prior experience measuring the performance of marketing campaigns, sales funnel analysis, product adoption, customer acquisition, etc., is a huge plus.
• Able to successfully present data, findings, and recommendations to cross-functional, non-technical groups, including senior executives.

Benefits

• Competitive pay, 401k matching, mortgage and auto discounts.9-27 days of PTO per year (based on tenure), VTO and 11 paid holidays.
• Affordable medical, dental, vision health plans, and Flexible Spending Account.
• Employee Assistance Program with a variety of services.
• Career development, training, and coaching, mentoring; tuition reimbursement up to $4,000/year.
• Culture of excellence and continuous improvement.