- Location
- Remote - Colombia
- Workplace
- Remote
- Type
- Full-time
- Seniority
- Entry
- Source
- Workday
Description
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.
