Data Analytics Advisor responsible for delivering high - quality analytics and reporting for Cigna's customer experience team. Collaborating with operational leaders and stakeholders to inform data - driven decisions.
About the role
- Data Analyst at Petco utilizing advanced analytical techniques to optimize customer behavior insights. Collaborating with teams to influence decisions, enhance retention, and improve performance.
Responsibilities
- Leverage advanced analytical techniques and programming languages to mine through massive data sets and isolate patterns in customer purchase behavior, store performance, and competitive pricing schemes (predictive modeling, clustering, design of experiments, etc)
- Work with other team members to influence strategic decisions and create accurate financial forecasts based on deep customer behavior analyses with tangible recommendations to optimize customer acquisition, retention, and lifetime value
- Utilize exceptional communication skills to present findings across the business by effectively translating complex data and analysis into clear insights, opportunities, and tangible business recommendations
- Develop reports, dashboards and build compelling data visualizations that effectively measure, track, and quantify changes in customer behavior and spend patterns
- Contribute to complex long-term projects from initial scoping through full execution and training with inputs from a variety of cross-functional teams (IT, Merchandising, Marketing)
- Collaborate with data science team as an expert on the business by providing direction on how to best leverage advanced modeling techniques and machine learning algorithms to achieve strategic objectives and business goals
- Display deep intellectual curiosity, creativity, and commitment to learning in order to solve critical business problems and push the boundary of our capabilities
Requirements
- Bachelor’s degree in economics, statistics, math or related business field; Master’s preferred
- Minimum of 1 years of experience in analytics or statistics capacity, 2 years ideal
- Experience with statistical programming languages required (R a must, Python, SAS)
- Experience building large data sets across disparate sources required (SQL, Hive, Hadoop)
- Desire to learn new analytic and data manipulation techniques to become an ‘local expert’
- Advanced presentation skills required (PowerPoint, Adobe Photoshop/Illustrator, R packages)
- Experience with pricing, merchandising, marketing and the retail industry strongly preferred
- Ability to think conceptually and creatively about problems and solutions
- Strong interpersonal communication skills, verbal and written, required due to the nature and level of interaction with senior management
- Demonstrated ability to prioritize workload and ability to manage multiple projects while meeting deadlines
Benefits
- Health insurance
- 401K
- Paid time off
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