Senior Data Analyst

Sr Data Analyst Remote Role 12 Months+

Elevator Pitch • This is a fantastic opportunity to be a part of a high visibility team delivering analytics to the C-Suite. Team is strong, collaborates well, and already has a lot of processes built for getting data to produce future insights. Huge priority for team projects – we are funded and have alignment / support from ExCo. Visibility: CMO and CEO

Tools: Expert in SQL (preferably in a Snowflake environment). Window Functions, Aggregations, and CTEs. Real-world application, not just in school. Build new queries from scratch on unfamiliar data and verify accuracy and debug as necessary. Experience creating dashboards preferably in PowerBI but also Tableau. Strong in Python with working knowledge of R and SAS a plus. Data Wrangling and ETL experience a plus. Usage of AI to streamline data analysis and reporting tasks. Strong Excel skills that are demonstratable (Pivot tables, functions, visualizations).

Competencies and Skills: Analytics background w/ experience in one or more of the following: decision/data science, business intelligence and/or data engineering. Analyst who can work under minimal supervision and complete tasks given to them from other teammates or leadership. Experience building financial models, forecasts, statistical models and cost-benefit analysis for business cases. Needs to be able to know how to apply various data analysis techniques to gain insights about business problems (e.g. Why customers are leaving) and measure effectiveness of programs/projects. Ability to pull data in fragmented data environments, convert it to insights, and provide those insights to leadership to be presented on. Curiosity / problem solving / critical thinking: needs to be creative about different ways to find data and analyze/build calculations. Must be able to adapt on the fly to changing business priorities and show a willingness to collaborate with team and business partners. Able to manage multiple projects at once with varying degrees of prioritization while communicating honestly about current workload. Must perform collaborative work / analytics across team verticals, working with product, underwriting, channel data, IT, etc. Experience with survey data specifically for customer experience (NPS, CSAT etc.) and other customer experience analytics like NRR, CLTV. Solid problem-solving and ability to provide data analysis strategies for new or inflight proects. Ability to communicate and summarize key insights with storytelling visualizations. Communication skills: ability to build relationships with stakeholders and provide data-driven storytelling. Insurance background or knowledge will be helpful but not necessary. Statistical background having built forecasting models, regression models or similar.

Background/Degrees: Statistics, Math, Business Analytics, Data Engineering/Data Science or related field undegrad or Masters equivalent