Jobs via Dice

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

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Power BI Data Scientist/Financial Modeling Consultant for a 6-month remote contract, offering expertise in SQL, Power BI, Python, and financial modeling. Requires analytics experience, strong problem-solving skills, and effective communication.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 27, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Corp-to-Corp (C2C)
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Storytelling #Microsoft Power BI #Pivot Tables #Visualization #Statistics #SQL (Structured Query Language) #Python #"ETL (Extract #Transform #Load)" #Tableau #Regression #AI (Artificial Intelligence) #Forecasting #Data Wrangling #Data Analysis #SAS #Leadership #BI (Business Intelligence) #Data Science #Snowflake #Data Engineering #R
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, NetSource, Inc., is seeking the following. Apply via Dice today! 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.