Senior Databricks Data Analyst

Stitch Consulting Services, Inc.

About The Position

Stitch is a global leader in helping brands drive CRM performance through Braze and Databricks. We work with Fortune 1000 brands to design and execute martech-driven solutions and lifecycle marketing strategies that drive meaningful outcomes. Our fast-growing team spans the US, UK, and Canada. We’re actively building the best customer relationship marketing (CRM) consultancy in the world. Not the biggest—the best. We’re looking for teammates who are energized by this challenge. As a Databricks Analyst, you work at every layer between the data and the decision. You write the queries, make the basic data connections you need to get to the right data, and build the reporting clients run on. Then you figure out what the data is telling us about the client's business, make the recommendation, and drive it through to action. You work with enterprise marketing, data, and IT leaders to turn their Databricks investment into measurable business outcomes. We are looking for an analyst who is hands-on and proactive. You are not just interpreting and storytelling. You are in the workspace, in the SQL editor, and in the client conversation. Our clients are handing us the keys to their data, and the Databricks team has to drive: you spot what needs doing, build momentum, and make sure every engagement has traction and keeps moving forward. You partner closely with Stitch's Databricks project managers, architects, and data engineers, and you help shape how Stitch delivers analytics on Databricks.

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. Experience designing and building datasets following a similar design pattern is a plus.
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.

Nice To Haves

Python (PySpark or pandas) is a plus.
Marketing analytics experience with CRM, lifecycle, or customer data is a strong plus.
Databricks certification (e.g., Data Analyst Associate) is a plus.
Marketing, CRM, or customer data experience preferred.

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.