Data Analyst

• Partner closely with Client Success, Sales, and Commercial teams to translate business questions into data-driven analyses that support client outcomes and revenue growth.

• Build and maintain compelling data visualizations and dashboards (PowerBI, Tableau, Looker, or similar) that surface key client health metrics, commercial performance, and strategic KPIs for both internal stakeholders and external clients.

• Develop client-facing reports and data narratives that clearly communicate performance, value delivered, and opportunities for expansion - helping to support renewals and upsell conversations.

• Clean, prepare, and transform data from multiple sources to compute KPIs and perform analysis across the full client lifecycle.

• Analyze datasets to uncover trends, patterns, and insights that inform client success strategies and commercial decision-making, including forecasting, churn risk modeling, and growth opportunity identification.

• Establish and maintain performance tracking frameworks; identify improvement opportunities, form hypotheses, and design tests to optimize client and commercial outcomes.

• Access, collect, compile, validate, and analyze data from a variety of internal and external data sources.

• Create and apply algorithms to support calculations and interpretation of business performance.

• Locate and define new process improvement opportunities and contribute to innovation within the Client Success and Commercial Analytics practice.

• Translate highly technical findings into simplified stories and presentations for non-technical audiences, including executive leadership and client stakeholders.

Do you have experience in Statistics?, Do you have a Bachelor’s degree?, * BS/BA in Computer Science, Mathematics, Business Analytics, or related field.

• 3-5 years of experience with data and business analytics, including working with large datasets, merging disparate datasets, transforming and cleansing data, and report development and maintenance.
• 1+ years of direct experience supporting Client Success, Account Management, or a commercial function using data and analytics.
• 2+ years of experience building and maintaining data visualizations and dashboards in at least one tool (PowerBI, Tableau, Looker, or similar) - a strong portfolio of client-facing or executive-facing dashboards is a major plus.
• 1+ years of experience with SQL (Oracle, Vertica, Hive, MySQL, etc.) or a scripting language for data analysis.
• 2+ years of experience with statistical analysis. Stat packages such as R, Python (pandas, scikit-learn), MATLAB, SPSS, SAS, Stata, etc.
• Proficiency in data modeling and knowledge of database performance.
• Strong communication skills - you are comfortable presenting analytical findings directly to clients or executive stakeholders.

PREFERRED

• Experience working within Cloud Environments (e.g., AWS, Google Cloud, Azure).
• Product analytics experience.
• Experience building client health scores, NPS analysis, churn prediction, or renewal/expansion models.
• Experience with CRM data (Salesforce, HubSpot) or CS platforms (Gainsight, Totango, ChurnZero).