Senior Databricks Data Analyst

Stitch is hiring a Senior Databricks Data Analyst to turn client data into business insights and measurable outcomes. The role combines hands-on data querying and reporting with recommendations, client engagement, and support for the company’s Databricks analytics practice.

Responsibilities:

• Query and analyze client data in Databricks using SQL (and Python where needed) across silver and gold layers to answer business questions quickly and accurately
• Make the basic data connections you need to get to the work: connect sources and set up simple ingestion, and partner with data engineers on more complex pipeline builds
• Build and maintain dashboards, reporting, and Genie spaces that let client marketers self-serve on governed data
• Interpret data and present clear, prioritized recommendations to marketing and data stakeholders. Examples include: customer behavior, audience performance, lifecycle health, and revenue drivers
• Drive recommendations through to action. Build the case, align stakeholders, and stay with the work until it is implemented and measured
• Design KPI frameworks, segmentation and lifecycle strategy, identity and customer 360 support, audits, methodology contributions, and QBR/EBR participation
• Support customer identity and customer 360 work by profiling sources, validating data quality, and testing outputs, partnering with data engineers on the build
• Reconcile audiences and data between Databricks and activation platforms such as Braze, and find and fix the root cause when counts don't match
• Develop audience segmentation strategies and lifecycle stage definitions using first-party, behavioral, and CRM data in the lakehouse
• Run data audits and readiness assessments that give clients a clear, recommendation-driven view of where their data stands and what to do next
• Present findings and recommendations to client marketing, data, and IT leaders, and participate in QBRs and EBRs alongside Client Partners
• Partner with Databricks project managers, architects, and data engineers to keep engagements on track and surface risks and opportunities early
• Use AI tools (e.g., Genie, Gemini, Claude) to speed up analysis, documentation, and QA
• Contribute to Stitch's Databricks methodology: reusable queries, dashboard templates, assessment tools, and analytics accelerators that raise the standard of every client engagement
• Manage your time to meet billable targets of 36+ hours per week
• Obtain DBX accreditations and DBX Data Analyst certification
• Travel up to 20% for client meetings, workshops, and onsite engagements

Requirements:

• Strong, hands-on SQL. You write your own queries against large datasets and don't wait for someone else to pull the data
• Working experience in Databricks (strongly preferred) or a comparable cloud data platform such as Snowflake or BigQuery—experience with SQL warehouses, Unity Catalog, and notebooks or equivalent
• Enough data engineering knowledge to be self-sufficient: comfortable connecting data sources, setting up basic ingestion, and working with bronze, silver, and gold data layers, without needing to be a data engineer
• Experience building dashboards and reporting in Databricks AI/BI, Power BI, Tableau, or equivalent
• Experienced with analytics data design patterns such as star schema
• Independently interprets data in the context of the client's business, makes recommendations without guidance, and drives them to completion
• Exceptional communicator who can explain technical findings to marketers and executives, and business priorities to technical teams
• 5+ years of experience in data analytics, analytics engineering, or business intelligence, with hands-on SQL as a core part of the role
• 1+ years of hands-on experience with Databricks or a comparable cloud data platform (Snowflake, BigQuery, Redshift)
• Demonstrated track record of turning analysis into recommendations that changed a business decision
• Client-facing experience within an agency or consultancy required
• Must be eligible to work in the United States without visa sponsorship
• Python (PySpark or pandas) is a plus
• Marketing analytics experience with CRM, lifecycle, or customer data is a strong plus
• Experience designing and building datasets following a similar design pattern is a plus
• Marketing, CRM, or customer data experience preferred
• Databricks certification (e.g., Data Analyst Associate) is a plus