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indeed

Client Data Analyst II

Mosaic North America
Toronto, CAN
Full-time
Senior
Onsite
Discovered 1 months ago
data collection, cleansing, transformation, and modelingbusiness intelligence and analytics softwareMicrosoft ExcelGoogle Sheetsstatistical analysisSPSS

Full Job Posting

Role Overview

Partner with clients and teams to drive initiatives through strategy, analytics, and actionable insights.

Optimize program measurement to improve field team success and support sales and marketing objectives.

Help evolve and grow the data-driven discipline within the supported program.

Responsibilities

  • Collect, inspect, cleanse, transform, model, and diagram complex datasets.
  • Use business intelligence and analytical software to interpret data and prepare recommendations.
  • Lead standardized client measurement strategies and support research methods such as questionnaires and market testing.
  • Use statistical analysis to identify business drivers and recommend optimization and go-to-market strategies.
  • Prepare professional reports that clearly communicate findings, recommendations, and actions.
  • Track market trends, research, best practices, and program performance.
  • Attend client and internal meetings and in-field ride-alongs to remain connected to program activities.

Qualifications

  • 3 to 5 years of related work experience.
  • 1 to 2 years of project management experience.
  • Intermediate Microsoft Excel or Google Sheets skills, including formulas, pivot tables, and VLOOKUP.
  • Intermediate statistical analysis skills.
  • Experience with SPSS, Python, R, or other statistical software.
  • Intermediate Power BI, Tableau, or Looker skills; advanced proficiency is ideal but not required.
  • Ability to tell compelling stories with data and lead research activities.
  • Ability to execute standard measurement strategies within a project.
  • Strong analytical and critical-thinking skills for deriving insights from large datasets.
  • Proven ability to complete projects on time and achieve results in an ambiguous environment.

Technical and Analytical Skills

  • Data collection and transformation, business intelligence, statistical analysis, A/B testing, multivariate testing, data visualization, market research, measurement strategy, and data storytelling.

Additional Expectations

Remain engaged with the program's strategic vision, key performance indicators, and day-to-day tactical activities.

Remain informed on current marketing, data, process, and research trends.

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