Senior Databricks Data Analyst

Stitch

. Query and analyze client data in Databricks using SQL and Python where needed across silver and gold layers .

Posted 10/13/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in SQL and Databricks for data analysis and dashboard creation, with a strong ability to interpret data and present actionable recommendations to stakeholders. Experienced in data engineering, audience segmentation, and utilizing AI tools for enhanced analytics.

Highest-signal resume keywords

SQL Query WritingDatabricks ExperienceDashboard DevelopmentData Engineering KnowledgeClient-Facing Experience

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

SQLPythonData AnalysisData Quality ValidationAudience SegmentationKPI Framework DesignAnalytics Data Design PatternsData IngestionData AuditsLifecycle Strategy

Soft Skills

Exceptional Communication SkillsRecommendation Implementation

Tools & Technologies

DatabricksPower BITableauBrazeGenieGeminiClaude

Certifications & Qualifications

DBX Data Analyst CertificationDatabricks Certification

Industry Keywords

Marketing AnalyticsClient EngagementBusiness IntelligenceData StakeholdersCustomer 360

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryCloudPandasPySparkPythonSQLTableauUnity

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

Medical, dental, vision, and life insurance
401k with company match
Flexible PTO policy
Monthly tech stipend
Paid parental leave
In-person onboarding experience at our HQ in Indianapolis, Indiana
Mental well-being support