eightfold
Lead Analytics Engineer — Actuarial, Finance & Investments
Symetra
Remote, USA
Full-time
Senior Level
Remote
USD 128700-214600 yearly
Discovered 1 weeks ago
Free
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- Design, build, and maintain scalable data models, curated datasets, and data marts that deliver trusted, business-ready data for Finance, Investment Management, and Actuarial teams.
- Serve as the subject matter expert for investment and actuarial data domains, including holdings, transactions, security master data, valuations, performance, and attribution data.
- Lead the migration and transformation of investment data from legacy platforms to a modern cloud-based data ecosystem, ensuring data quality, consistency, and accessibility.
- Develop and optimize cloud-native data architectures that enable efficient storage, integration, governance, and analysis of critical financial and investment data assets.
- Build robust ETL/ELT pipelines that integrate structured and unstructured data from multiple internal and external sources while ensuring scalability, reliability, and performance.
- Partner closely with Finance, Investment Management, Actuarial, IT, and Analytics teams to understand business requirements and translate them into scalable data solutions.
- Identify opportunities to create new data products, analytical capabilities, and reporting solutions that improve business decision-making and support strategic objectives.
- Apply advanced SQL and Python skills to design data transformations, automate processes, improve data quality, and optimize analytics workflows.
- Establish and promote data engineering best practices, including data modeling standards, testing frameworks, documentation, version control, lineage tracking, and governance processes.
- Mentor and support analytics engineers by providing technical guidance, code reviews, architectural recommendations, and development coaching.
- Optimize data warehouse performance, schema design, access controls, and pipeline orchestration across modern cloud platforms such as Snowflake, Databricks, Redshift, or BigQuery.
- Stay current on emerging technologies, tools, and industry trends in data engineering, cloud platforms, investment analytics, and insurance data management.
- You are a strategic data professional who combines deep technical expertise with strong business acumen to deliver scalable analytics solutions that drive meaningful business outcomes.
- You have extensive experience designing data models, data warehouses, and cloud-based data platforms that support complex financial, investment, and actuarial reporting needs.
- You are a collaborative partner who excels at working across technical and business teams, translating complex requirements into practical, high-quality data solutions.
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