Lead Decision Science Analyst

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.

• 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.

• 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

• 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.