Senior Databricks Data Analyst

Stitch · via Real Estate Jobs Australia

🌎 Remote ⌛ Posted 2 days ago

Query and analyze client data in Databricks using SQL and Python where needed across silver and gold layers
Connect sources and set up simple ingestion, partnering with data engineers on complex pipeline builds
Build and maintain dashboards, reporting, and Genie spaces using governed data
Interpret data and present prioritized recommendations to marketing and data stakeholders
Drive recommendations through implementation and measurement
Design KPI frameworks, segmentation and lifecycle strategy, identity and customer 360 support, audits, methodology contributions, and QBR/EBR participation
Profile sources, validate data quality, and test outputs for customer identity and customer 360 work
Reconcile audiences and data between Databricks and activation platforms such as Braze
Develop audience segmentation strategies and lifecycle stage definitions
Run data audits and readiness assessments
Present findings and recommendations to client marketing, data, and IT leaders
Partner with project managers, architects, and data engineers to keep engagements on track
Use AI tools such as Genie, Gemini, and Claude for analysis, documentation, and QA
Contribute reusable queries, dashboard templates, assessment tools, and analytics accelerators to Stitch's Databricks methodology
Manage 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

Strong, hands-on SQL; ability to write queries against large datasets
Working experience in Databricks (strongly preferred) or comparable cloud data platforms such as Snowflake or BigQuery
Experience with SQL warehouses, Unity Catalog, and notebooks or equivalent
Data engineering knowledge sufficient to connect data sources, set up basic ingestion, and work with bronze, silver, and gold data layers
Experience building dashboards and reporting in Databricks AI/BI, Power BI, Tableau, or equivalent
Experience with analytics data design patterns such as star schema
Ability to independently interpret data, make recommendations, and drive them to completion
Exceptional communication skills for explaining 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
Databricks certification is a plus

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