Sr Analyst - Field Analytics
Catalina
San José, Provincia de San José
hace 1 día

Our Team

The Field Analytics team is responsible for providing analyses, insights, and recommendations that address the business needs of the Catalina sales team, CPG clients, and retailer partners and support internal strategic projects.

These analyses, insights, and recommendations whether based on standard reports or custom analyses should serve as the basis for discussions with Catalina sales and external clients and provide actionable insights and recommendations that address client strategies, initiatives, and objectives.

The position reports to the Executive Director of Field Analytics.

Responsibilities

Providing analytical insights that identify and quantify business opportunities and lead to business opportunities and improved shopper campaign performance and new client initiatives

Analyze consumer data to provide digital / in-store campaign measurement and insights, and clearly present findings to internal stakeholders and senior field analytics team members.

Integrate consumer data from different types of data storage platforms using Python / R and Databricks

Developing standard and / or custom reports for audiences targeting, insights, and measurements

Providing targeting solutions that optimize the client’s strategies and consumer value propositions

Evaluating performance of targeted shopper campaigns using appropriate analyses

Working with both Field Analytics and Sales teams to build relationships with key contacts on client accounts

Performing ad hoc custom analyses to help design future digital / in-store marketing campaigns

Qualifications

Bachelor’s Degree required; Master’s preferred in Statistics, Math, Business Analytics, or other related quantitative fields (Data Science, etc.)

Minimum 1-2 years of experience, preferably in a related field (analytics, retail, consulting, etc.) using Python or R in a quantitative and / or analytical capacity

Ability to rapidly develop sufficient familiarity with proprietary data systems and IT infrastructure to extract data needed to support quantitative research projects

Extensive experience with SQL required

Previous experience working analyzing digital promotional data within a CPG, retail or data-driven environment helpful

Experience preferred in advanced Python development (ie pandas), modeling, segmentation; and development of visualization data in Power BI

Experience preferred with cloud

computing platforms (e.g., Databricks); PySpark, Snowflake

Excellent communication and presentation skills

Proficient in Microsoft Office Software

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