Data Manager

GroupM Canada; Toronto; On-site; CAD 60,000 - 80,000; Full time

Job summary

A leading global media investment company is seeking a skilled data analyst in Toronto, Canada. The role involves developing econometric models, assisting clients with large datasets, and supporting methodology development. Ideal candidates will possess a Bachelor's degree, strong analytical capabilities, and proficiency in SAS and SQL. This position offers opportunities in a dynamic environment, emphasizing teamwork and client engagement for impactful marketing solutions.

Qualifications

• 3-5 years related work experience.
• Strong analytical skills for data analysis and recommendations.
• Fluency in advanced analytics software.

Responsibilities

• Develop econometric models for marketing mix optimization.
• Assist clients with large volumes of data.
• Support methodology development and testing.

Skills

Quantitative data analysis

Analytical modeling

Excellent oral and written communication skills

Client focus

Teamwork

Self-motivation

Problem solving

Education

Bachelor’s degree

Master’s degree in Statistics, Economics, or Applied Math

Tools

SAS

Excel VBA

SQL

Job description

GroupM is the largest media investment company in the world. GroupM and its agencies employ over seventeen thousand people in four hundred offices spanning eighty-one countries.

GroupM Data & Analytics is a marketing science, technology and consulting group specializing in fact-based business strategies and assessment. Our global team provides expertise in data management, advanced analytics, technology deployment and marketing effectiveness with one clear remit: help clients achieve significant and lasting improvements in marketing effectiveness and profitability. Utilizing a proprietary Data and Analytics Platform, we enable clients’ marketing organizations to monitor, evaluate and optimize media investments.

The data and analytics organization in GroupM is responsible for managing and analyzing massive amounts of data as well as supporting the whole organization in delivering value from data. We focus on designing, developing and operating our global technology stack with four key layers: Data Marketplace, Data Management, Analytics Workbench and Application Marketplace. These products are hosted on a variety of infrastructure options including but not limited to local servers, public and private clouds and enable a suit of advanced analytics-based products, specific Data collection modules and customized Data transformation packages.

Job Description

Candidates are expected to demonstrate the following skills/experience: hands-on skills in quantitative data analysis, problem solving, analytical modeling, the ability to develop/analyze business cases, research skills, excellent oral and written communication skills, client focus and the ability to support and enable teamwork, self-motivated and able to operate independently with limited guidance and direction.

Key Accountabilities:

Develop econometric modeling and simulations/forecasts applied to marketing mix optimization, campaign segmentation, pricing optimization and customer lifetime value analyses to support client engagements.

Assist clients in retrieving, compiling, and formatting large volumes of data.

Support senior modelers with methodology development and testing.

Analyze data to generate graphics for use in client presentations.

Utilize syndicated research tools to retrieve various types of data (macroeconomic, marketing, business, etc.).

Write and test macros that help automate data/modeling process using SAS, Excel VBA, SQL

Build forecasts and budgets based on historical data as part of the planning process

Act as primary day-to-day contact on insights and analytics to digital and traditional media managers and clients

Manage project timelines and deliverable schedules and share concerns about deliverables, timelines, and issues with project managers and directors.

Manage and mentor analysts on the projects to ensure excellence and professional development

Qualifications

Requirements:

Bachelor’s degree required. A Master’s degree in Statistics, Economics, or Applied Math is preferred.

3-5 years related work experience

Strong analytical skills; ability to analyze raw data, draw conclusions, and develop actionable recommendations using statistical and econometric modeling techniques.

Understanding of industry research sources, such as Nielsen/IRI sales data or TV/online advertising data

Fluency in SAS, SPSS, R or any other advanced analytics software package.

Experience with database tools (SQL, Oracle, Access).

Comprehensive understanding of metrics: Media (e.g. buying models, CPV,VCR, GRP), Measurement analytics, Quantitative business measures (LTV, NPV,ROI, Churn, etc.), Statistics (Correlations, sample sizing, etc.)

Knowledge of visual techniques for data analysis and presentation

Experience in managing and mentoring team members

Additional Information

All your information will be kept confidential according to EEO guidelines.