Partner with Growth leadership and Program Managers to decode high-level strategies into measurable OKRs and tracking frameworks.
Lead discovery sessions and user interviews to deeply understand the "why" behind data requests, ensuring solutions are integrated into the daily workflows of Sales, Product, and Engineering.
Act as the primary subject matter expert (SME) for Growth data, documenting complex data sources (including Salesforce, Gainsight, Marketing Automation, and internal Product Telemetry) and logic to ensure a "single source of truth" across the organization.
Design and maintain high-performance, interactive dashboards, utilizing visual hierarchy and storytelling to make complex market data digestible.
Architect data sources and workbooks using industry best practices to ensure rapid load times, efficient refresh cycles, and long-term maintainability.
Conduct rigorous gap analysis between existing data infrastructure and business needs, collaborating with stakeholders across the business to influence the roadmap for new data pipelines.
Move beyond descriptive reporting to perform deep-dive analysis that identifies trends, anomalies, and specific growth levers for the Medium Enterprise, Global Products, and Planning segments.
Define and execute rigorous QA protocols for data accuracy, security, and functional performance, ensuring stakeholders have absolute trust in the numbers.
Create technical documentation and provide training to end-users to foster a self-service data culture within the Growth Org.

Requirements

5-7 years of experience in a Business Intelligence Analyst role or similar analytical role.
2+ year experience with SQL and data manipulation techniques.
2+ year experience with data visualization tools (e.g., Tableau, Snowflake, Power BI, Looker, Workday).
Excellent analytical and problem-solving skills.
Strong communication and presentation skills, with the ability to explain complex data insights to non-technical audiences.
Ability to work independently and as part of a team.
Strong attention to detail and commitment to data accuracy.
Experience supporting a professional services workforce, understanding their specific reporting needs related to utilization, project profitability, and resource management.
Experience with statistical modeling and data mining techniques.
Knowledge of data warehousing concepts and best practices.

Benefits

Workday Bonus Plan
role-specific commission/bonus
annual refresh stock grants
Comprehensive benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLdata manipulation techniquesdata visualizationstatistical modelingdata mining techniquesdata warehousing conceptsdashboard designgap analysisQA protocolsdata architecture

Soft Skills

analytical skillsproblem-solving skillscommunication skillspresentation skillsattention to detailindependent workteam collaborationtrainingstorytellinguser documentation