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Data Scientist, Finance Analytics

Remote / Online - Candidates ideally in
Mount Vernon, Franklin County, Texas, 75457, USA
Listing for: Jobgether
Full Time, Remote/Work from Home position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Data Scientist, Finance Analytics )
Location: Mount Vernon

Data Scientist, Finance Analytics - (Texas, New York, or California)

About Jobgether
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Data Scientist, Finance Analytics in Texas, New York, or California. In this role, you will be part of a dynamic Finance Analytics team, contributing to strategic financial insights by analyzing complex data and delivering actionable recommendations. Your work will directly influence the company's growth by ensuring financial metrics align with business priorities.

You will collaborate with the Strategic Finance Team to drive high-impact projects and assist in building dashboards and financial models that enhance business performance.

Accountabilities:

  • Conduct in-depth financial analysis to ensure the accuracy and relevance of key metrics, aligning them with business priorities.
  • Develop and maintain executive dashboards, KPIs, and data sets to provide real-time financial insights to leadership.
  • Address complex business challenges by creating clear and actionable financial metrics, supporting decision-making at the highest levels.
  • Foster a culture of data excellence by promoting best practices for data management and analytics across teams.
  • Communicate findings effectively, translating complex data into clear insights that drive strategic business decisions.

Requirements:

  • 3-5 years of experience as a data scientist, preferably in a high-growth startup environment working with leadership teams.
  • Expertise in Looker Semantic Modeling and BI tools, with the ability to build self-service data sets for the Finance team.
  • Strong background in financial data analysis, with at least 6 years of experience in data science, analytics, or engineering.
  • Proficient in SQL and tools like R or Python, with the ability to handle large datasets and maintain data integrity.
  • Excellent communication skills, with the ability to present complex data insights to both technical and non-technical stakeholders.
  • Detail-oriented, with a passion for uncovering insights that guide strategic decisions.

Benefits:

  • Competitive base salary, with ranges based on location and experience.
  • Opportunity to earn performance-based bonuses and stock options.
  • Comprehensive health, dental, and vision insurance plans.
  • Generous paid time off, including vacation and sick days.
  • 401(k) retirement plan with company matching.
  • Learning and development stipend to enhance professional growth.
  • Flexible work environment, including remote work options.

Jobgether hiring process disclaimer:
This job is posted on behalf of one of our partner companies. If you choose to apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates. Our AI thoroughly analyzes every line of your CV and Linked In profile to assess your fit for the role, evaluating each experience in detail. When needed, our team may also conduct a manual review to ensure only the most relevant candidates are considered.

Our process is fair, unbiased, and based solely on qualifications and relevance to the job. Only the best-matching candidates will be selected for the next round. If you are among the top 5 candidates, you will be notified within 7 days. If you do not receive feedback after 7 days, it means you were not selected. However, if you wish, we may consider your profile for other similar opportunities that better match your experience.

Thank you for your interest!

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Non-profit Organizations and Primary and Secondary Education

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