FAQs
What is the primary focus of the Associate Manager role?
The primary focus is on driving market-level priorities, enhancing and automating business reporting, and creating new data pipelines to provide better performance insights for the ROI Engine Team.
What qualifications are required for this position?
A Master's or Graduate degree in Engineering, Mathematics, Statistics, or Marketing and 5 years of experience in analytics, preferably with exposure to the CPG industry.
What tools and technologies should a candidate be proficient in?
Candidates should be proficient in PowerPoint, Excel, Python, mySQL, and must have experience with PowerBI Dashboard creation. Proficiency in Snowflake for Azure-based data warehousing is also required.
Is experience in the CPG industry preferred for this role?
Yes, exposure to the CPG industry is preferred for this position, as a deep understanding of business performance outputs and causal measures is beneficial.
What responsibilities does this role include regarding data pipelines?
Responsibilities include designing, building, and maintaining scalable data pipelines, as well as developing and managing ETL (Extract, Transform, Load) processes.
Will the Associate Manager work closely with other teams?
Yes, the Associate Manager will work closely with data analysts, data scientists, and business stakeholders to gather and integrate data from multiple sources for analysis.
How important is data quality in this role?
Data quality is very important; the Associate Manager will monitor and enforce data quality standards to ensure the integrity, consistency, and reliability of data pipelines.
What types of reporting will the Associate Manager be responsible for?
The Associate Manager will be responsible for executing market, portfolio, and brand level reporting of Marketing KPI performance using dashboards, templated decks, and reporting tools.
Is documentation part of the responsibilities for this position?
Yes, maintaining proper documentation for data pipelines, architecture, and data flows is a key responsibility to facilitate knowledge sharing and maintainability.
What is the expected experience level for the ideal candidate?
The ideal candidate should have over 5 years of experience in analytics, with an emphasis on data engineering and business intelligence development.