Experteer Overview
As Data and Analytics Manager (Development), you will lead enterprise data solutions that align with business goals and drive data-powered transformation. You’ll guide analytics strategy, develop models and dashboards, and partner with underwriting, claims, actuarial, and IT to embed analytics in core functions. You’ll manage a hybrid team across locations, ensure high-quality delivery, and support global reporting initiatives. This role blends leadership, technical execution, and business impact in a fast-moving environment.
Pay / Benefits
- Oversee enterprise-wide analytics strategy aligned to business objectives to drive innovation and efficiency
- Design and deploy advanced analytics models and dashboards to inform decision-making
- Collaborate with Underwriting, Claims, Actuarial, and IT to integrate analytics into core business functions
- Lead and coach a distributed team of data analysts, engineers, and specialists
- Manage work estimation, prioritisation, and resource allocation with Business Insights
- Oversee Jira tracking, Confluence docs, and code design for efficient development
- Oversee data models, ETL, and visualization tools (SSIS, Tableau, SSRS)
- Support global reporting initiatives and ensure consistency with international priorities
- Ensure readable, maintainable, and modular analytical code and pipelines
- Define data modeling practices (warehousing, lakehouse Medallion architecture)
- Standardize data development and metadata management practices
- Oversee metadata, lineage, and orchestration tools
- Ensure reporting quality via code reviews, tests, and documentation
- Lead incident resolution and root-cause analysis for long-term fixes
- Enforce change control, rollback, and testing for stable deployments
- Maintain audit readiness with documentation, lineage, and access controls
- Manage vendor/partner relationships delivering analytics services
- May perform additional duties as assigned
Tasks
- Deep understanding of structured data management and enterprise best practices
- Proven track record implementing BI solutions and supporting operational dashboards
- Experience with normalized, star, and multidimensional schema design
- Understanding of ETL and data warehousing concepts including slowly changing dimensions
- Excellent interpersonal and communication skills for stakeholder collaboration
- Ability to translate analytical concepts to non-technical audiences
- Strong analytical, problem-solving, and attention to detail
- Ability to manage multiple priorities and tasks effectively
- SQL Server proficiency with data querying and optimization
- Experience with Control-M scheduling
- Google Platform Composer, BigQuery and Vertex AI
- Tableau experience
- Python programming
Key requirements
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