A Business Intelligence Analyst collects and analyzes data that provides an accurate picture of business operations and performance for a company. Completes statistical analysis of current and historic business data, identifies trends and develops projections. Presents data analysis that informs planning and strategic decision making for a company.
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 401
K 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.
