Crew
Verified live 1d ago
Data Delivery Analyst
Brief overview
United StatesIn-person
$85k–$125k/yrStated range
2+ yrsMinimum
Data analysisBusiness analysisData deliveryDatabricksSnowflakeSQLAgile methodologiesBacklog managementOrganizational skillsCommunication between business and technical teamsData governanceData qualityETL/ELTData pipelinesJiraConfluence
About the company
Crewtheboomlab.com
Founded in tandem with Turnberry Solutions, Crew serves as an innovative talent development program for both Turnberry and our clients by focusing exclusively on high-performing early-career consultants.
Job description
Summary
Crew helps clients deliver change through IT project delivery and operational efficiency efforts. The Data Delivery Analyst will partner with business stakeholders to translate use cases into data requirements and support the delivery lifecycle of data projects.
Responsibilities
- Partner with business stakeholders and intake teams to gather and translate use cases into data requirements
- Work closely with data engineering, governance, and architecture teams to move work through the delivery lifecycle
- Support backlog management, sprint/release planning, and prioritization
- Monitor data pipelines and platform performance, flagging inefficiencies and recommending improvements
- Track data platform usage and adoption, identifying areas for optimization or increased value
- Help coordinate cross-team dependencies and unblock delivery issues
- Maintain and improve documentation (data definitions, process flows, user guides)
- Assist in establishing operational cadence (status tracking, reporting, KPIs)
Skills
- 2–5 years of experience in data analysis, business analysis, or data delivery
- Worked in a data environment (Databricks, Snowflake, SQL, etc.—doesn't need to build, but must understand)
- Can translate between: Business: 'this report is wrong' Tech: 'pipeline latency + bad source mapping'
- Comfortable operating in Agile/backlog-driven environments
- Strong organizational skills—this role lives or dies on follow-through
- Ability to ask questions and push for clarity
- Exposure to data governance or data quality concepts
- Experience supporting enterprise data platforms/data lakes
- Basic understanding of pipelines, ETL/ELT, and data flows
- Experience with tools like Jira, Confluence, etc
Qualifications
Must Haves
- 2–5 years of experience in data analysis, business analysis, or data delivery
- Worked in a data environment (Databricks, Snowflake, SQL, etc.—doesn't need to build, but must understand)
- Can translate between: Business: 'this report is wrong' Tech: 'pipeline latency + bad source mapping'
- Comfortable operating in Agile/backlog-driven environments
- Strong organizational skills—this role lives or dies on follow-through
- Ability to ask questions and push for clarity
Nice to Haves
- Exposure to data governance or data quality concepts
- Experience supporting enterprise data platforms/data lakes
- Basic understanding of pipelines, ETL/ELT, and data flows
- Experience with tools like Jira, Confluence, etc
Benefits
- Comprehensive healthcare package (medical, dental, vision)
- Disability and group term life insurance
- Health and flexible spending accounts
- Utilization bonus
- 401(k) with match
- Flexible time off for salaried employees
- Parental leave for salaried employees
- Flexible work arrangements (all benefits are subject to eligibility requirements)
