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Mosaic North America

Client Data Analyst II

Mississauga, ON, Canada

Salary Range: $80000.00 - $85000.00 · Full-time

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Job details

Pay: Salary Range: $80000.00 - $85000.00
Job type: Full-time
Apply by: Nov 28, 2026
Experience: 3-5 years of experience in analytics, consumer insights, market research, data science, or a related quantitative role.
Posting language: English
Posted: Oct 30, 2026

Original job description

Description

Mosaic is a leading North American Integrated Marketing Agency, specialized in connecting with consumers through Experiential Marketing, B2B, Sales & Merchandising, and Shopper Marketing. At Mosaic, we are never satisfied with the status quo and are in constant search for new ideas and new ways to help our clients build their brands amidst the evolving dynamics of empowered consumers and leveraging new technologies.

The Client Data Analyst II (analyst) position is responsible for partnering with our clients and teams to drive their initiatives with strategy, analytics and actionable insights, optimizing program measurement to drive field team success, and constantly engaging with the team to better understand where they can have the greatest impact. The analyst will leverage business and market relevant information to make data-driven decisions that allow Mosaic to achieve its sales and marketing objectives and quickly adapt tactics. The analyst will play a key role in evolving, leading, and growing the data-driven discipline within the program they support.

The Incumbent(s) in this position should exhibit the following values:

People Minded – Must show dignity and respect to all people
Integrity – Must exemplify the highest degree of ethical behavior
Results Oriented – Must show passion, pride and commitment to succeed
Trust – Must be honest, sincere and confident
Teamwork – Must build trusting relationships
Innovation – Must progress through a combination of creativity, common sense and vision
Balance – Must maintain an optimistic attitude and keep perspective on what is important in life

Responsibilities

Apply advanced statistical methods to analyze complex datasets, identify business drivers, and develop actionable recommendations for clients and internal stakeholders.
Lead the development and evolution of measurement frameworks, KPIs, and analytical methodologies to evaluate program performance and business outcomes.
Design, execute, and interpret quantitative research studies, including market testing, A/B testing, multivariate experiments, and quasi-experimental analyses.
Build and validate statistical models to understand customer behavior, sales performance, promotional effectiveness, and other key business questions.
Conduct hypothesis testing, regression analysis, forecasting, segmentation, and other advanced analytical techniques to support strategic decision-making.
Translate analytical findings into compelling business narratives, communicating insights, risks, assumptions, and recommendations to both technical and non-technical audiences.
Partner with clients and cross-functional teams to identify opportunities for optimization and develop data-driven go-to-market strategies.
Stay current on analytical best practices, emerging statistical methodologies, consumer insights research, and industry trends.
Collect, integrate, cleanse, transform, and validate large, complex datasets from multiple sources while ensuring data quality and integrity.
Develop reproducible analytical workflows and documentation to support ongoing measurement, research, and reporting initiatives.
Participate in client meetings, internal strategy sessions, and occasional field ride-alongs to maintain a strong understanding of program operations and business objectives.
Utilize statistical and analytical software such as Python, R, SQL, and visualization tools to conduct analyses and communicate results.

Qualifications

Bachelor's degree in Statistics, Economics, Mathematics, Data Science, Analytics, Market Research, or a related quantitative field.
3-5 years of experience in analytics, consumer insights, market research, data science, or a related quantitative role.
Demonstrated experience applying statistical methods to solve business problems and influence decision-making.
Experience designing and analyzing experiments, including A/B testing, test/control methodologies, multivariate testing, or other research designs.
Strong understanding of statistical concepts including hypothesis testing, confidence intervals, sampling methodologies, significance testing, regression analysis, and model validation.
Proficiency in Python, R, SPSS, or other statistical software for data analysis, modeling, and research applications.
Intermediate to advanced SQL skills and experience working with large, complex datasets from multiple sources.
Experience with predictive analytics, forecasting, segmentation, driver analysis, or other advanced modeling techniques preferred.
Strong data preparation skills, including data cleaning, transformation, validation, and quality assurance.
Ability to translate complex analytical findings into actionable business recommendations and communicate results to both technical and non-technical audiences.
Experience developing measurement frameworks, KPIs, and analytical methodologies to evaluate business performance.
Strong analytical thinking, intellectual curiosity, and problem-solving skills with the ability to identify meaningful insights within large datasets.
Experience managing multiple projects and delivering high-quality work in a fast-paced and often ambiguous environment.
Intermediate to advanced Excel skills, including formulas, pivot tables, and data analysis functions.
Experience with Power BI, Tableau, Looker, or other visualization tools for communicating insights and analytical results.
Remain informed on emerging analytical methodologies, market research techniques, consumer behavior trends, and industry best practices.
Willingness to learn the business, understand client objectives, and identify new opportunities for measurement, analytics, and strategic insights.

DISCLAIMER:

Mosaic North America is an Equal Opportunity Employer

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. Mosaic reserves the right to modify all or part of any job descriptions at its discretion in order to meet and or exceed the needs of the business.

We are committed to providing accommodations for persons with disabilities. If you require accommodation, we will work with you to meet your needs, to the extent required by law.

Please note that Mosaic does not make any formal job offers to candidates via text messages. Mosaic does not in any way require applicants to give money to get a job. If you are interested in working with us, we strongly encourage you to visit our job opportunities page at http://www.mosaicjobs.com/

About Us

Acosta, and its subsidiaries, is an Equal Opportunity Employer

Job Category: Administration

Position Type: Full time

Business Unit: Corporate

Salary Range: $80000.00 - $85000.00

Company: Mosaic Sales Solutions US Operating Co, LLC

Req ID: 43302

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More about this job

Responsibilities

Analyze complex datasets using statistical methods and experiments to identify business drivers, evaluate program performance, and develop actionable recommendations. Build measurement frameworks and models, communicate insights to clients and internal teams, and support data-driven optimization and strategy.

Requirements

Requires a bachelor's degree in a quantitative field and 3–5 years of experience in analytics, consumer insights, market research, data science, or a related role. Candidates should have strong statistical and experimental design skills, proficiency with statistical software and SQL, experience handling complex datasets, and the ability to communicate actionable findings.

Skills

Statistical Analysis
Experimental Design
A/B Testing
Hypothesis Testing
Regression Analysis
Forecasting
Segmentation
Predictive Modeling
SQL
Python
R
Data Cleaning
Data Validation
KPI Development
Data Visualization
Business Communication

Visa sponsorship

Not detected in the job text

Keywords

Statistics
Consumer Insights
Market Research
Data Science
Advanced Statistical Methods
Measurement Frameworks
Key Performance Indicators
Quantitative Research
A/B Testing
Multivariate Testing
Quasi-Experimental Analysis
Hypothesis Testing
Confidence Intervals
Sampling Methodologies
Significance Testing
Regression Analysis
Model Validation
Predictive Analytics
Forecasting
Segmentation
Driver Analysis
Python
R
SPSS
SQL
Excel
Power BI
Tableau
Looker
Data Quality Assurance

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