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Financial Analyst Python Remote Jobs in Oak Brook, IL

Mondo

Lead Decision Science Analyst

Oak Brook, IL · Remote

$80 - $90/hr

Lead Decision Science Analyst, Remote (EST/ CST hours). Start date is ASAP for this 6-Month ... Utilize SQL and Python to extract, manipulate, integrate, and analyze large datasets across ...

RR Donnelley

Manager - Financial Analysis

Chicago, IL · Remote

$108K - $142K/yr

This position is a remote role, however we prefer candidates in the Milwaukee, WI and Chicago, IL ... Project and Staff Support: * Assist team with the analysis of complex accounting records, financial ...

RR Donnelley

Manager - Financial Analysis

Chicago, IL · On-site +1

$108K - $142K/yr

This position is a remote role, however we prefer candidates in the Milwaukee, WI and Chicago, IL ... Project and Staff Support: * Assist team with the analysis of complex accounting records, financial ...

RR Donnelley

Manager - Financial Analysis

Chicago, IL · Remote

$108K - $142K/yr

This position is a remote role, however we prefer candidates in the Milwaukee, WI and Chicago, IL ... Project and Staff Support: * Assist team with the analysis of complex accounting records, financial ...

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How much do financial analyst python remote jobs pay per year?

As of Sep 8, 2026, the average yearly pay for financial analyst python remote in Oak Brook, IL is $86,248.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,100.00 and $101,400.00 per year, depending on experience, location, and employer.

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Lead Decision Science Analyst

Mondo

Oak Brook, IL • Remote

$80 - $90/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 19 days ago

Job description

Apply now: Lead Decision Science Analyst, Remote (EST/ CST hours). Start date is ASAP for this 6-Month Contract-to-Hire position. Job Title: Lead Decision Science Analyst Location-Type: Remote (CST/EST Hours required) Start Date: ASAP Duration: 6-Month Contract-to-Hire Compensation Range: $80-90/hr Benefits: Eligible for Health, Dental, Vision, and 401K Visa Sponsorship: Not eligible for visa sponsorship Job Description:
  • This role translates complex data into strategic insights that directly influence product, marketing, and business decisions for the client through causal inference, experimentation, and deep exploratory analytics.
Job Summary
  • Conduct deep exploratory, diagnostic, and causal analyses to identify growth levers and quantify the business impact of key initiatives.
  • Design, analyze, and interpret A/B tests and other causal inference approaches, ensuring test validity and clear stakeholder readouts.
  • Partner cross-functionally with Product, Engineering, Marketing, and Finance leaders to develop and monitor KPIs and evaluate initiative impact.
  • Translate technical findings into clear, actionable recommendations for senior stakeholders through verbal, written, and visual communication.
  • Utilize SQL and Python to extract, manipulate, integrate, and analyze large datasets across multiple data platforms.
  • Identify leading indicators, behavioral trends, and segmentation opportunities to guide organizational strategy.
  • Provide guidance to associate and senior analysts on analytics best practices, experimental design, and statistical rigor.
Minimum Requirements:
  • Bachelor's degree in Business Analytics, Statistics, Mathematics, Econometrics, Engineering, or a related field with significant analytical coursework.
  • 5 years of relevant experience in an analytics role, preferably in product, marketing, or growth analytics.
  • 2 years of experience building dashboards and reports in Power BI, Tableau, or comparable visualization tools.
  • 2 years applying experimentation and causal inference methods (A/B tests, quasi-experiments) in product or marketing contexts.
  • Exceptional SQL skills with a strong track record of working with complex datasets, including data extraction and manipulation.
  • Experience with Azure or other cloud environments
  • Proficiency in Python and/or R for statistical analysis and data manipulation.
  • Strong verbal and written communication skills, with the ability to translate complex concepts into actionable business insights for non-technical stakeholders.
  • Experience with data warehouse and data modeling concepts and procedures.
  • Background in SaaS/technology-focused organization
Preferred Qualifications:
  • MBA or Master's degree in a related analytical field.
  • Experience with Databricks.
  • Experience with IoT, SaaS, or intelligent consumer products and services.
  • Familiarity with Salesforce, SAP, or CDP platforms such as Tealium.
  • Experience with project management and tracking tools such as Jira.