Mars United℠ Commerce is a global commerce marketing practice that aligns people, technology, and intelligence to make the business of our clients better today than it was yesterday.
Our worldwide capabilities coalesce into four key disciplines — Strategy & Analytics, Content & Experiences, Digital Commerce, and Retail Consultancy — that individually deliver unmatched results for clients and collectively give them an unparalleled network of seamlessly integrated functions across the entire commerce marketing ecosystem.
These disciplines are powered by our industry-leading technology platform, Marilyn®, which helps marketers understand the total business impact of their commerce marketing activation, enabling them to make better decisions, create connected experiences, and drive stronger, measurable results.
Learn more at https://www.marsunited.com/.

Mars United Commerce

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analytics-engineer

Mars United℠ Commerce is a global commerce marketing practice that aligns people, technology, and intelligence to make the business of our clients better today than it was yesterday. Our worldwide capabilities coalesce into four key disciplines — Strategy & Analytics, Content & Experiences, Digital Commerce, and Retail Consultancy — that individually deliver unmatched results for clients and collectively give them an unparalleled network of seamlessly integrated functions across the entire commerce marketing ecosystem. These disciplines are powered by our industry-leading technology platform, Marilyn®, which helps marketers understand the total business impact of their commerce marketing activation, enabling them to make better decisions, create connected experiences, and drive stronger, measurable results. Learn more at https://www.marsunited.com/.

• Develop and maintain data pipelines and ETL processes
• Optimize data infrastructure for efficient data processing
• Ensure data quality and accessibility for data scientists and analysts
• Collaborate with cross-functional teams to address data needs and challenges
• Implement data governance and security best practices
• Support annual planning initiatives with clients
• Work closely with cross-functional teams, including analysts, product managers and domain experts to understand business requirements, formulate problem statements, and deliver relevant data science solutions
• Develop and optimize machine learning models by processing, analyzing and extracting data from varying internal and external data sources
• Develop supervised, unsupervised, and semi-supervised machine learning models using state-of-the-art techniques to solve client problems
• Show up - be accountable, take responsibility, and get back up when you are down
• Make stuff
• Share so others can see what’s happening
• Establish and create scalable and intuitive reporting methodologies through Power BI, suggesting the best representation and visualizations
• Identify business intelligence needs recommending the best KPIs and customer valuation models and dashboards
• Interpret data, analyze results, and identify trends or patterns in complex data sets
• Filter and “clean” data and review computer reports, printouts, and performance indicators to locate and correct data corruption problems
• Automate data pipelines and develop automation workflows
• Develop Single Customer View stitching 1P data from various data sources

Analytics Engineer

Analytics Engineer building data pipelines, ML models, and PowerBI at Mars United Commerce. Supporting data governance, ETL/ELT, and client-facing analytics initiatives.

• Part of the overall Analytics Group, responsible for data modeling automation and preparing data needed by Data Science and Business Analytics teams
• Documenting the data cleaning and transformation processes, automating these processes, ensuring data governance practices are followed, and maintaining a data catalog
• Developing all PowerBI dashboards based on client needs or Data Science outputs
• Develop and maintain data pipelines and ETL processes
• Optimize data infrastructure for efficient data processing
• Ensure data quality and accessibility for data scientists and analysts
• Collaborate with cross-functional teams to address data needs and challenges
• Implement data governance and security best practices
• Support annual planning initiatives with clients
• Work closely with cross-functional teams, including analysts, product managers and domain experts to understand business requirements, formulate problem statements, and deliver relevant data science solutions
• Develop and optimize machine learning models by processing, analyzing and extracting data from varying internal and external data sources
• Develop supervised, unsupervised, and semi-supervised machine learning models using state-of-the-art techniques to solve client problems
• Establish and create scalable and intuitive reporting methodologies through Power BI
• Identify business intelligence needs recommending the best KPIs and customer valuation models and dashboards
• Interpret data, analyze results, and identify trends or patterns in complex data sets
• Filter and “clean” data and review computer reports, printouts, and performance indicators to locate and correct data corruption problems
• Develop, evaluate, test, and maintain architectures and data solutions such as ETL Pipelines, Data Warehouses, Data Marts
• Automate data pipelines and develop automation workflows
• Develop scalable and intuitive ETL & ELT pipelines from a variety of marketing sources such as Salesforce, Adobe Analytics
• Identify data sources and create data pipelines using shell scripts or Python scripts
• Create technical documentation
• Plan data analysis work and develop execution estimates, continuously improving the accuracy of the estimates
• Develop Single Customer View stitching 1P data from various data sources

Analytics Engineer building data pipelines, ML models, and PowerBI at Mars United Commerce. Responsible for data modeling, automation, governance, and client-facing analytics support.

manager

Own and develop retail search activation strategy and oversee Search Manager to build and flawlessly execute best-in-class retail media campaigns across search Direct and train Managers and Specialists on best practices for hands-to-keyboard set-up, management, optimization and reporting of retail search
Lead strategy on keyword, ad group, audience and targeting strategy, and refine overall activation plan based on client objectives and vendor/platform capabilities
Work with Director to develop and refine processes to improve the daily and weekly optimizations and performance across a variety of platforms and clients
Create and share presentations recommending campaign strategy and collaborate with senior internal leaders on search strategy and convey final plan to the search teams and clients
Support developing holistic retail strategy, client media mix, and budget allocations, while leading Search Managers and Search Specialists in executing tactics that support the strategy
Maintain oversight as the leader of the team that activates against campaign set-up, performance, optimization, and reporting
Clearly set and communicate performance expectations with Search Managers, and Search Specialists, along with key internal commerce media partners
Lead, manage, mentor, and scale the skillsets of the team of Search Managers and Specialist in workflow, training, and development and adherence to best practices
Lead the search team on providing high-quality insights and strategic recommendations based on client objectives, media strategy and results
Reports to Director Retail Search, immediate direct reports with Search Manager

Senior Manager, Retail Search

Senior Manager leading retail search activation and Amazon Ads campaigns at commerce consultancy. Managing, mentoring search teams and driving retail media strategy and campaign performance.

financial-planning-and-analysis

• Lead the development of investment strategies across managed-service digital media channels, ensuring alignment with client goals and broader media strategy.
• Oversee execution of large-scale media campaigns, ensuring quality, accuracy, and performance across all touchpoints within Prisma.
• Serve as a senior point of contact for internal teams and clients on media investment-related matters, providing thought leadership and strategic guidance.
• Partner with Strategy and Analytics teams to develop measurement frameworks and translate insights into actionable optimizations.
• Drive innovation in media investment processes, tools, and partnerships to improve efficiency and effectiveness.
• Manage and mentor a team of media investment professionals, fostering growth and collaboration.
• Collaborate with Client Leadership and Project Management to ensure seamless delivery of investment plans and reporting.
• Contribute to business growth through identification of new opportunities and expansion of existing engagements.

Director, Media Investment

Lead cross-channel media investment and manage investment team at Mars United Commerce. Drive performance, analytics, and innovation.

Mars United Commerce

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