Burlington is looking to add a hands-on Data Scientist to their Consumer Insights team to uncover consumer behavior patterns and market trends through data, generate actionable insights that drive business growth and customer engagement, and support ongoing market research initiatives.
Requirements
- Proficiency with SQL, Python and/or R
- Experience building dashboards with Tableau or PowerBI preferred
- Detail oriented, comfortable digging into code and working with imperfect data sets
- Statistical techniques such as regression, hypothesis testing, multivariate analysis
- Advanced user of Microsoft Suite (Word, Excel, PowerPoint and Access) or related software.
- Experience with statistical software & Power BI/Tableau is a plus.
Responsibilities
- Develop and optimize interactive dashboards and visualizations that clearly communicate insights such as customer segmentation/behavior, key customer KPI’s, market trends and research findings to key stakeholders across the organization.
- Leverage advanced analytics to Integrate and transform complex customer data sets from multiple sources including CRM systems, third party market data and digital analytic platforms.
- Analyze market research data using advanced analytic techniques to identify emerging trends and opportunities.
- Design and implement predictive models to forecast customer lifetime value, churn, media mix optimization, etc.
- Ability to initiate technical problem-solving process and recommend solutions
- Proficiency with SQL, Python and/or R
- Experience building dashboards with Tableau or PowerBI preferred
Other
- 5+ years relevant experience, customer insights, market research and analytics experience preferred
- Strong analytical and problem-solving skills
- Excellent communication skills, ability to tailor insights to non-technical audiences, and a “can do” demeanor is a must
- Ability to work as part of a team and independently on complex problems.
- Position requires extreme confidentiality in handling/distributing reports and studies based on company's proprietary information.
