Senior Power BI Data Scientist / Financial Modeling Consultant (Remote) (No Corp-to-Corp or H1)

Please note that this is a 6-months contract position, remote.

No H1 and no Corp-to-Corp.

 

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.

 

Tools & Technical Skills

  • 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 Power BI, but Tableau is also acceptable
  • 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)

Education / Background

  • Undergraduate or Master''s equivalent in Statistics, Math, Business Analytics, Data Engineering/Data Science, or related field.

Competencies & Skills

  • Analytics background with 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 teammates or leadership
  • Experience building financial models, forecasts, statistical models, and cost-benefit analysis for business cases
  • Needs to be able 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 projects
  • 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

Candidates must provide their phone number. Job reference code is A5304.

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Common Interview Questions And Answers

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