Marketing Science Senior Analyst

2 Weeks ago • 3-5 Years

About the job

Summary_{By Outscal}

This role requires a minimum of 3 years experience in marketing science. You will analyze data, build reports, and design measurement strategies to optimize digital marketing performance. Strong skills in Python, R, SQL, and visualization platforms are required. Experience with data architecture, ETL/data integration, and cloud technologies are a plus.

As a Marketing Science Senior Analyst, your curiosity never ends. The next question is always on your mind, helping you to understand how marketing science fits in the big picture of a project. You bring in 3 to 5 years of experience, leading marketing science deliverables across a broad range of initiatives, and focusing on at least two of the following areas: tracking and measurement, implementation, reporting, data visualization, testing and evaluation, data integration, or statistical modeling. You have experience using data analytics to recommend solutions to improve Digital marketing performance, enjoy collaborating with others, and are capable of directly communicating business insights to clients through logical, easy to understand stories.

You will:

Provide actionable insights by gaining a deep knowledge of the client’s business and industry.
Design, build and automate analyses, reports, dashboards and other deliverables.
Lead the ideation, development and execution of measurement strategies and frameworks.
Gather data through various third-party platforms and ensure compliance with data governance protocols.
Provide work direction to associate analysts and analysts.
Occasionally contribute analytics content for pitch materials and request for proposals.
Ideate and develop descriptive and inferential multivariate statistical models.

You have:

B.S. degree in a quantitative or technical field. Including but not limited to: statistics, mathematics, business, finance, social sciences, computer science, or information management. M.S. degree preferred.
Advanced Microsoft Excel and Microsoft Office skills, with strong verbal and written communication skills, and demonstrated experience presenting to internal or external stakeholders.
Experience working with statistical analysis techniques and quantitative methods.
Expertise in Python, R, SQL, or other business-relevant statistical programming language.
Expertise with at least two of the following: data architecture (ETL/data integration), automated data ingestion + reporting, data science and statistical programming, testing and personalization, data visualization, website systems implementation.
Experience with one or more visualization platforms (e.g.: Tableau, Domo, PowerBI, etc.).
Experience with ETL techniques.
Exposure to cloud technologies

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About The Company

Critical mass

94 Active Jobs

Critical Mass is a team of 1,800 inspired folks based in 12 offices around the world, providing full-service digital capabilities for the greatest brands on Earth. Our secret sauce is our uncompromising design standards, our relentless focus on customers, and an ability to put powerful new technologies to work for our clients.

We work with the best—Apple, Nike, Mars Wrigley, Nissan, Diageo, Airbnb, BMW, BNY Mellon, Johnson & Johnson, and many more—brands who strive for connected digital ecosystems and unparalleled experiences. We help them get there by gaining deep insight into their consumers and orchestrating data, AI, design, media, and tech stacks around human stories.

We’re a global agency founded in Canada, but digital is our home. If you know us, then you know we’re a special, quirky place that attracts big talent and tiny egos. (We actually give out a “so f-n nice” award—lots of them). But just because we’re friendly doesn’t mean we’re not a force to be reckoned with. We’re driven. Relentless. And we live our values. We’re Critical Mass, but our friends call us CM. Please call us CM!