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Overview

As a Staff Technical Data Analyst (T4) you operate at the functional‑group level to turn go‑to‑market strategy into reliable, governed data products and automated pipelines that power sales productivity and decision‑making. You lead discovery→design→delivery for enterprise‑grade datasets, semantic layers, dashboards, and event‑driven integrations across CRM/CPQ/LMS and adjacent 1P/3P systems. You are hands‑on in Databricks (SQL/PySpark, Delta Lake, Unity Catalog), fluent in API querying and integration patterns, and use Workato (or equivalent) to automate data flows and user lifecycle management. You partner tightly with RevOps, Sales, Data Engineering, and Data Science to land measurable outcomes with clear ownership, observability, and compliance (e.g., 7216, RBAC, retention). You connect data, tooling, and behavior change—building telemetry and insights that improve seller effectiveness, tool utilization, program adoption, and forecast quality, and you operationalize those insights back into workflows (e.g., coaching loops, next‑best‑action, play enforcement).

What you'll bring

+ 6+ years in analytics/data roles (TDA, BDA, Analytics Engineering, or equivalent) with program‑level delivery in GTM domains.

+ Advanced SQL and practical PySpark; hands‑on 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).

+ Dashboarding at scale in Tableau, Salesforce CRM Analytics, and Amazon QuickSight; semantic‑layer design and governance including adoption instrumentation.

+ Excellent stakeholder facilitation and storytelling; able to align RevOps/Sales/Finance/Legal/IT/DE/DS and drive tool adoption.

Preferred Qualifications

+ Databricks Delta Live Tables or streaming; 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

How you will lead

Strategic Thinking and Analytics Solution Design

+ Translate Sales Enablement strategy into a data strategy: KPI frameworks (ramp, attainment, pipeline health, conversion, velocity, forecast accuracy) and measurement plans for programs and experiments.

+ Define an enablement metrics taxonomy: time‑to‑first‑meeting/opportunity, onboarding completion and proficiency, content utilization, play adoption, call outcomes, pipeline hygiene, coaching coverage.

+ Lead intake, scoping, and high‑level product data design for sales datasets and features; write crisp requirements and decision records; plan phased delivery that de‑risks adoption.

+ Synthesize findings into digestible dashboards and actionable recommendations for sales and leadership, translating complex data into clear insights that drive informed decision-making and enablement program adjustments.

Execution: Technical Proficiency to Deliver Business/Product Outcomes

+ Build Databricks ELT/ETL pipelines (SQL/PySpark) using Delta/medallion patterns and Unity Catalog; implement orchestration, cost awareness, and data‑quality monitors (freshness, completeness, validity).

+ Create governed semantic layers and gold datasets for Tableau, Salesforce CRM Analytics, and Amazon QuickSight; establish dashboard standards and self‑serve patterns (exec scorecards, manager coaching packs, SDR/AE ramp dashboards).

+ Query and integrate APIs (REST/GraphQL): handle OAuth2/JWT, pagination, rate limits, retries, idempotency, and bulk APIs/webhooks; codify reusable connectors.

+ Design Workato (or equivalent) automations for cross‑app workflows and user lifecycle management(provisioning, role/permission changes, deprovisioning, license hygiene) with observability, alerts, and audit trails.

Data Asset Management

+ Drive usability and adoption of standardized data products through documentation, data dictionaries, enablement of field leaders, and office hours; champion paved paths and inner‑source.

+ Enforce governance (RBAC, PII handling, 7216, retention) and end‑to‑end lineage; define SLAs/SLOs and create runbooks for incident response and recovery.

+ Prepare and maintain data for AI/ML pipelines (feature stores, batch/stream ingestion, backfills); enable model monitoring hooks and feedback capture. Maintain seller 360 datasets (territory, capacity, activity, pipeline, attainment) for downstream analytics.

Example Initiatives You Might Lead

+ Build a Sales Data Platform: standardized lead→opportunity→order gold tables with lineage, SLAs, telemetry, and adoption instrumentation; power Tableau/CRM Analytics/QuickSight.

+ Deliver seller‑effectiveness features (activity, content engagement, coverage/capacity) in Databricks and surface next‑best‑action in CRM with measurable lift; publish manager coaching packs.

+ Stand up RPA/Workato automations across 1P and 3P platforms.

+ Create a Pipeline Hygiene Score and Enablement Impact Model that attribute uplift to content, plays, and training; drive quarterly roadmap and investment decisions.

EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.