Senior Associate, Data Analytics & Business Intelligence (BI), GOC

Role Overview

As a Senior Associate, Data Analytics & Business Intelligence (BI), GOC, you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. You will design, build, and maintain cloud-based data solutions, supporting business intelligence, media performance reporting, and data quality compliance.

What You Will Do

Your responsibilities will include collaborating with data engineers, developers, and UX designers to develop data pipelines and workflows, managing the design, build, and maintenance phases of client reporting projects, and ensuring data quality and providing ongoing support and maintenance for existing workspaces.

Why It Might Be a Fit

To be successful in this role, you will need to have advanced knowledge of SQL, relational databases, and data warehouses, including technologies such as MySQL, PostgreSQL, Redshift, or Snowflake, and experience with the full development lifecycle of an application or reporting solution, from design through testing and deployment.

Requirements

• 3–4 years of relevant professional experience
• At least 2–3 years of experience in data governance processes within data warehousing, ETL, and business intelligence environments
• Experience with the full development lifecycle of an application or reporting solution, from design through testing and deployment
• Advanced knowledge of SQL, relational databases, and data warehouses, including technologies such as MySQL, PostgreSQL, Redshift, or Snowflake
• Advanced proficiency in at least one programming language, such as Python
• Knowledge of cloud platforms such as Microsoft Azure, Google Cloud Platform, or AWS
• Knowledge of data engineering platforms such as Databricks
• Familiarity with business intelligence tools such as Tableau or Power BI
• Familiarity with project and product management tools such as Jira, Confluence, Smartsheet, or Azure DevOps/VSTS
• Experience with advertising campaign management, media buying, measurement, and analytics platforms, such as Sizmek, Google Campaign Manager, Flashtalking, Moat, DoubleVerify, IAS, MediaOcean, Media Tools, Nielsen, Comscore, social advertising platforms, Google Ads, Bing, Kenshoo, SA360, DV360, Google Analytics, or Adobe Analytics
• Understanding of processes across digital, search, social, and offline media, with experience handling diverse datasets, including paid and owned media data
• Experience in media, digital investment, analytics, or ad operations is preferred
• A bachelor’s or advanced degree in Statistics, Economics, Business, Mathematics, Computer Science, or another scientific discipline is preferred

Benefits

• Competitive medical insurance
• Group retirement plans
• Vision insurance
• Dental insurance
• Significant paid time off
• Preferential partner discounts
• Employee mental health awareness days

Tagged as: Data Analysis