Market Insights Associate

What You'll Do 

Product Engagement & Data Analysis 

• Evaluate and track product-level engagement across the client portfolio, identifying trends, usage patterns, and areas for optimization. 

• Categorize client data and product adoption metrics by industry, vertical, and segment to establish baseline benchmarks. 

• Partner with Analytics and Platform teams to pull, clean, and synthesize historical performance data into actionable insights. 

Data Asset Creation & Reporting Structure 

• Translate raw product engagement data into recurring benchmarks and template-based slides that highlight value and growth opportunities. 

• Populate template-based slides with accurate, verified data for use in QBRs and business reviews.  

• Support the creation of collateral for prospect pitches and marketing nurture campaigns by providing verified data points and vertical-specific recurring benchmarks. 

• Provide basic reporting support and recurring data updates for Client Partner (CP) teams. 

Internal Enablement & Support 

• Provide day-to-day analytical support to Strategists and CP teams, delivering recurring and clearly defined reporting request. 

• Help build and maintain a centralized reference library of recurring benchmarks, template-based slides, and standardized reporting data. 

• Conduct rigorous QA and data cleanup to ensure data accuracy and consistency across all client-facing strategic materials. 

What You Bring 

• 0-3 years of experience in data analysis, reporting, or a related analytical role. 

• Strong ability to execute standardized data pulls, clean data, and populate template-based slides (advanced Excel and PowerPoint skills are a must). 

• High attention to detail with the ability to carefully QA datasets and ensure basic reporting support is precise and reliable. 

• A strong focus on data accuracy, data cleanup, and rigorous quality assurance. 

• Familiarity with B2B marketing, channel ecosystems, or SaaS product engagement metrics is a plus. 

• Able to work effectively across strategy, analytics, and client-facing teams to support data needs. 

How Success Is Measured 

• Accuracy, clarity, and consistency of standardized data pulls and basic reporting provided to the broader team. 

• Quality and reliability of the template-based slides and recurring benchmarks produced for QBRs, pitches, and nurture campaigns. 

• Success in delivering requested benchmark data and performance insights through proper QA and data cleanup. 

• Number of reusable data assets and templates maintained to streamline preparations.