Our Client is seeking a Data & Analytics Lead who will help build a new centralized analytics function.
Job Responsibilities:
Analytics Strategy & Business Ownership:
- Partner with business stakeholders and leadership to define key metrics, KPIs, and success measures
- Translate business problems into prioritized analytics initiatives and analytics outcomes
- Own and maintain the analytics roadmap, backlog, and prioritization of projects
- Communicate insights, tradeoffs, and data changes to senior stakeholders
- Establish and maintain a shared understanding of metrics, data standards, and ownership across the organization
Analytics Engineering & Technical Leadership:
- Provide guidance and leadership to consultants during the implementation of the cloud data platform and development of analytics capabilities
- Support the design and building of analytics ready data models and datasets
- Establish best practices for data modeling, metric definitions, and dataset design
- Review and contribute to analytics engineering code with a focus on correctness, performance, and maintainability
- Experience with BI and reporting tools (Tableau, Power BI, Looker, etc.)
- Define and enforce metric definitions and analytic standards
- Implement data quality checks, validation tests, and monitoring
Enablement & Scale:
- Make self service analytics easier and safer for analysts and business users
- Promote data literacy and drive adoption of data-driven decision making across the organization
- Define and implement the analytics intake, prioritization, and delivery process
- Establish best practices to ensure consistency and trust in data, analytics, and reporting
- Establish standards for analytics development, testing, deployment, and documentation
- Create and maintain clear documentation of data sources, transformations, definitions, and logic
Requirements
- 10+ years of relevant work experience
- 5+ years of experience in analytics, BI, or analytics engineering roles
- Experience with cloud data platforms (Snowflake, Databricks, Fabric, etc.)
- Strong SQL and data modeling experience
- Familiarity with BI tools (Tableau, Power BI, Looker)
- Experience working in early-stage or building-from-scratch environments preferred
- Strong communication and stakeholder management skills
- Experience working in early-stage or building-from-scratch environments
- Familiarity with data ingestion tools (Fivetran, Airbyte, etc.) preferred
- Exposure to version control (Git) and CI/CD practices
- Experience with statistical modeling, predictive analytics, and machine learning to support advanced analytics initiatives
- Understanding of data warehousing concepts (fact/dimension models, etc.)
- Basic Python (nice to have, not required)
- Ability to translate ambiguous questions into structured analytics
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Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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