Stitch
Stitch
Stitch ir specializēts konsultāciju uzņēmums, kas palīdz mārketinga komandām veidot, migrēt un pilnveidot klientu iesaistes programmas Braze platformā. Darbojoties kā klientu komandu paplašinājums, Stitch apvieno mārketinga tehnoloģiju ekspertīzi ar radošu un uz datiem balstītu stratēģiju, lai palīdzētu uzņēmumiem stiprināt mijiedarbību ar klientiem un gūt lielāku vērtību no Braze platformas.

Senior Databricks Data Analyst

Analyze client data with Databricks, build dashboards, and turn findings into actionable recommendations. Help Stitch’s CRM consultancy deliver business value from Braze and Databricks investments.

Apraksts

  • Analyze client data across silver and gold layers in Databricks with SQL and, where needed, Python.
  • Connect data sources and configure basic ingestion, coordinating with data engineers on complex pipelines.
  • Build and maintain dashboards, reports, and Genie spaces using governed data.
  • Interpret results and share prioritized recommendations with marketing and data stakeholders.
  • Guide recommendations through implementation and measurement.
  • Design KPI frameworks, segmentation and lifecycle strategies, customer identity and 360 initiatives, audits, methodology contributions, and QBR and EBR participation.
  • Profile sources, verify data quality, and test outputs for customer identity and 360 initiatives.
  • Reconcile audiences and data between Databricks and activation platforms such as Braze.
  • Create audience segmentation strategies and define lifecycle stages.
  • Conduct data audits and readiness assessments.
  • Present findings and recommendations to client marketing, data, and IT leaders.
  • Coordinate with project managers, architects, and data engineers to keep client engagements on course.
  • Apply AI tools such as Genie, Gemini, and Claude to analysis, documentation, and quality assurance.
  • Develop reusable queries, dashboard templates, assessment tools, and analytics accelerators for Stitch’s Databricks methodology.
  • Manage time to achieve billable targets of at least 36 hours per week.
  • Earn DBX accreditations and the DBX Data Analyst certification.
  • Travel up to 20% for client meetings, workshops, and onsite engagements.

Prasības

  • Write strong SQL queries against large datasets.
  • Have practical Databricks experience, strongly preferred, or experience with a comparable cloud data platform such as Snowflake or BigQuery.
  • Work with SQL warehouses, Unity Catalog, and notebooks or equivalent tools.
  • Understand data engineering well enough to connect sources, configure basic ingestion, and work across bronze, silver, and gold data layers.
  • Build dashboards and reports with Databricks AI/BI, Power BI, Tableau, or equivalent tools.
  • Apply analytics data design patterns such as star schemas.
  • Independently interpret data, make recommendations, and carry them through to completion.
  • Communicate technical findings clearly to marketers and executives, and business priorities to technical teams.
  • Bring at least 5 years of experience in data analytics, analytics engineering, or business intelligence, with hands-on SQL central to the work.
  • Have at least 1 year of hands-on experience with Databricks or a comparable cloud data platform, such as Snowflake, BigQuery, or Redshift.
  • Show a track record of turning analysis into recommendations that influenced business decisions.
  • Have client-facing experience in an agency or consultancy.
  • Be eligible to work in the United States without visa sponsorship.
  • Python, including PySpark or pandas, is a plus.
  • Marketing analytics experience with CRM, lifecycle, or customer data is a strong plus.
  • Databricks certification is a plus.

Priekšrocības

  • Medical, dental, vision, and life insurance.
  • 401(k) with company matching.
  • Flexible paid time off.
  • Monthly technology stipend.
  • Paid parental leave.
  • In-person onboarding at the company headquarters in Indianapolis, Indiana.
  • Mental well-being support.

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