Staff Technical Data Analyst

About the Role

Key Responsibilities

• Translate Sales Enablement strategy into a data strategy, including KPI frameworks and measurement plans for programs and experiments.
• Define an enablement metrics taxonomy such as time-to-first meeting, onboarding completion, content utilization, play adoption, call outcomes, pipeline hygiene, and coaching coverage.
• Lead intake, scoping, and high-level product data design for sales datasets and features; write requirements and decision records; plan phased delivery to de-risk adoption.
• Synthesize findings into dashboards and actionable recommendations for sales and leadership, translating complex data into clear insights.
• Build Databricks ELT/ETL pipelines (SQL/PySpark) using Delta/medallion patterns and Unity Catalog, with orchestration, cost awareness, and data-quality monitors.
• Create governed semantic layers and gold datasets for Tableau, Salesforce CRM Analytics, and Amazon QuickSight; establish dashboard standards and self-serve patterns.
• Query and integrate APIs (REST/GraphQL), handling OAuth2/JWT, pagination, rate limits, retries, and webhooks; develop reusable connectors.
• Design Workato (or equivalent) automations for cross-app workflows and user lifecycle management with observability, alerts, and audit trails.
• Drive usability and adoption of standardized data products through documentation, data dictionaries, enablement, and championing paved paths.
• Enforce governance (RBAC, PII handling, retention) and end-to-end lineage; define SLAs/SLOs and create runbooks for incident response.
• Prepare and maintain data for AI/ML pipelines, enable model monitoring, and maintain seller 360 datasets for downstream analytics.
• Lead initiatives such as building a Sales Data Platform, delivering seller-effectiveness features, automating workflows, and creating impact models.

Requirements

• 6+ years in analytics/data roles (TDA, BDA, Analytics Engineering, or equivalent) with program-level delivery in GTM domains.
• Advanced SQL and practical PySpark experience; hands-on in Databricks (Delta Lake, Unity Catalog, Jobs/Workflows) and data-quality frameworks.
• Proven API integration experience (REST/GraphQL, OAuth2/JWT, retries/backoff, idempotency, schema evolution) and Workato (recipes, callable patterns, promotion, RBAC, secrets).
• Experience with dashboarding at scale in Tableau, Salesforce CRM Analytics, and Amazon QuickSight; semantic-layer design and governance.
• Excellent stakeholder facilitation and storytelling skills; ability to align RevOps, Sales, Finance, Legal, IT, Data Engineering, and Data Science teams.

Nice to Have

• Databricks Delta Live Tables or streaming experience; MLflow or feature store experience; cost optimization for pipelines.
• Quote-to-cash and entitlement/role modeling knowledge; territory/account hierarchy design.
• Experience instrumenting enablement platforms and sales engagement tools for utilization and proficiency scoring.
• Prior ownership of cross-BU data standards and paved-path contributions.