Senior Data Analyst

Title: Sr. Data Analyst IV-SQL (preferably in a Snowflake environment) Position Type: Contract role(6 months) Location: 100% remote Pay rate: $98.58/hour on W2 INTERVIEW PROCESS 2 Teams interviews Job Summary: • 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