Client Data Analyst II

This is a Fully Remote Job

About Our Client:

Mosaic is a North American integrated marketing agency specializing in experiential marketing, B2B, sales and merchandising, and shopper marketing. The organization addresses challenges in brand building by adapting to shifting consumer behaviors and leveraging new technologies.

About the Opportunity:

The CLIENT DATA ANALYST II role focuses on partnering with clients and internal teams to drive strategic initiatives through data analysis and actionable insights. This position is responsible for optimizing program measurement to enhance field team performance and advancing data-driven practices within supported programs.

Responsibilities:

• Apply advanced statistical methods to analyze complex datasets and provide actionable recommendations
• Lead development of measurement frameworks, KPIs, and analytical methodologies
• Design and interpret quantitative research including market testing and experimental analyses
• Build and validate statistical models for customer behavior and sales performance
• Conduct hypothesis testing, regression analysis, forecasting, and segmentation
• Communicate analytical findings clearly to technical and non-technical audiences
• Collaborate with clients and teams to identify optimization opportunities and develop data-driven strategies
• Maintain knowledge of analytical best practices and industry trends
• Manage data collection, integration, cleansing, and validation to ensure quality
• Develop reproducible workflows and documentation for ongoing analysis
• Participate in client meetings and internal strategy sessions to understand program objectives
• Utilize statistical software such as Python, R, SQL, and visualization tools

Requirements:

• Bachelor's degree in Statistics, Economics, Mathematics, Data Science, Analytics, Market Research, or related quantitative field
• 3-5 years of experience in analytics, consumer insights, market research, or related roles
• Proficiency applying statistical methods to business problems and decision-making
• Experience designing and analyzing experiments including A/B and multivariate testing
• Strong understanding of statistical concepts and software proficiency (Python, R, SPSS)
• Intermediate to advanced SQL skills and experience handling large datasets
• Experience with predictive analytics, forecasting, and segmentation preferred
• Skilled at data preparation, cleaning, and quality assurance
• Ability to translate complex analysis into clear business recommendations
• Experience developing measurement frameworks and evaluating performance
• Strong analytical thinking, curiosity, and problem-solving abilities
• Capability to manage multiple projects in fast-paced environments
• Proficiency with Excel and data visualization tools such as Power BI, Tableau, or Looker
• Commitment to continuous learning about analytical methodologies and client objectives

Pay Range and Compensation Package:

• The pay range and compensation package for this role will be determined based on the candidate's experience, skills, and other relevant factors.

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.