Experienced in analyzing large, unstructured datasets and delivering meaningful insights.
Strong ability to approach data with a business‑focused mindset to uncover opportunities and solve problems.
Skilled at presenting complex information in clear, accessible ways to non‑technical audiences.
Proficient in developing reports, visualizations, and strategic recommendations driven by data analysis.
Collect, clean, and validate data from multiple sources to ensure accuracy and reliability
Analyze large datasets to identify trends, patterns, and insights
Translate business questions into data analysis and clearly communicate findings
Partner with business, product, and technology teams to support strategic initiatives
Document data definitions, methodologies, assumptions, and processes
Support ad hoc analysis and special projects as needed
Experience relevant to helping create success measures (e.g. A/B testing, inferential statistics, cost benefit analysis, Lean, etc.)
Demonstrated ability to envision and provide analytical support for potential future state of data analysis
Demonstrated ability to transform data into actionable items for process improvements, engineering, and automation
High level of proficiency in data analysis, statistical inference, and data manipulation, pattern recognition etc.
Demonstrated aptitude for data analysis for the purposes of data audits between databases
Develop and improve current workflow processes to improve current data quality and ability to capture critical fields
Ability to integrate multiple internal data sources and develop logic for data-driven insights
Identifying data gaps to effectively run data analysis and suggesting improvements in data quality.
Strong SQL skills, including experience with complex queries and performance tuning
Knowledge of database design and data modeling concepts
Experience with Power BI, Tableau, or other reporting platform

Requirements

Bachelor’s degree required
Bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science or Engineering degree preferred
Three to five years’ experience in a similar position
Experience in Finance or Insurance is a plus
Agile or Scrum experience a plus
Strong proficiency in SQL
Advanced skills in Excel (pivot tables, formulas, data modeling)
Ability to work in-office 2 days a week

Benefits

Health Benefits : Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance
Financial Benefits : ESPP; 401k; Student Loan Assistance; Tuition Reimbursement
Mental Health & Wellness : Free Mental Health & Enhanced Advocacy Services
Beyond Benefits : Paid Time Off, Holidays, Preferred Partner Discounts and more.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analysisstatistical inferencedata manipulationA/B testinginferential statisticscost benefit analysisLeanSQLExceldata modeling

Soft Skills

business-focused mindsetproblem solvingcommunicationpresentation skillscollaborationanalytical thinkingattention to detailprocess improvementcritical thinkingadaptability