Senior Databricks Data Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Analyze and query client data in Databricks utilizing SQL and Python as necessary across silver and gold layers.

• Establish connections to data sources and facilitate simple ingestion, collaborating with data engineers on intricate pipeline constructions.

• Create and sustain dashboards, reporting, and Genie spaces using governed data.

• Analyze data and present prioritized suggestions to marketing and data stakeholders.

• Propel recommendations through execution and evaluation.

• Develop KPI frameworks, segmentation strategies, lifecycle strategies, identity and customer 360 support, conduct audits, contribute methodologies, and participate in QBR/EBR sessions.

• Profile data sources, validate data integrity, and test outputs for customer identity and customer 360 initiatives.

• Reconcile audiences and data across Databricks and activation platforms like Braze.

• Formulate audience segmentation strategies and define lifecycle stages.

• Conduct data audits and readiness evaluations.

• Share insights and recommendations with client marketing, data, and IT leadership.

• Collaborate with project managers, architects, and data engineers to ensure project timelines are met.

• Utilize AI tools such as Genie, Gemini, and Claude for analysis, documentation, and quality assurance.

• Contribute reusable queries, dashboard templates, assessment tools, and analytics accelerators to Stitch's Databricks methodology.

• Manage time effectively to achieve billable targets of over 36 hours per week.

• Attain DBX accreditations and DBX Data Analyst certification.

• Travel up to 20% for client meetings, workshops, and onsite engagements.

⛳️ Requirements

• Proficient in SQL with the capability to write queries against large datasets.

• Practical experience in Databricks (strongly preferred) or similar cloud data platforms such as Snowflake or BigQuery.

• Familiarity with SQL warehouses, Unity Catalog, and notebooks or equivalent tools.

• Data engineering skills sufficient for connecting data sources, establishing basic ingestion, and working with bronze, silver, and gold data layers.

• Experience in building dashboards and conducting reporting in Databricks AI/BI, Power BI, Tableau, or comparable platforms.

• Knowledge of analytics data design patterns like star schema.

• Ability to independently analyze data, provide recommendations, and see them through to completion.

• Excellent communication skills for conveying technical findings to marketers and executives, and business priorities to technical teams.

• Over 5 years of experience in data analytics, analytics engineering, or business intelligence, with hands-on SQL as a core responsibility.

• At least 1 year of hands-on experience with Databricks or a comparable cloud data platform (Snowflake, BigQuery, Redshift).

• Proven track record of converting analysis into actionable recommendations that impact business decisions.

• Client-facing experience in an agency or consultancy setting is required.

• Must be eligible to work in the United States without requiring visa sponsorship.

• Proficiency in Python (PySpark or pandas) is advantageous.

• Experience in marketing analytics with CRM, lifecycle, or customer data is a significant plus.

• Databricks certification is considered a benefit.

🏝️ Benefits

• Medical, dental, vision, and life insurance.

• 401k plan with company match.

• Flexible PTO policy.

• Monthly technology stipend.

• Paid parental leave.

• In-person onboarding experience at our headquarters in Indianapolis, Indiana.

• Support for mental well-being.