Lead Analytics Engineer — Actuarial, Finance & Investments
Symetra
An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Benefits offered by this job
Job summary
Symetra seeks a Lead Analytics Engineer to model data and deliver clean, well-documented datasets for Finance, Investment Management, and Actuarial stakeholders. You will lead migration to a modern cloud data platform, mentor junior engineers, and shape data products across the analytics community.
You will design scalable data models and ETL/ELT pipelines, collaborating with Finance, IT, and Analytics to translate complex requirements into robust data solutions.
Qualifications
- Experience designing data models, warehouses, and cloud data platforms for financial datasets.
- Strong SQL and Python with data governance and quality focus.
- Ability to mentor junior engineers and influence technical direction.
Responsibilities
- 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.
Skills
Education
Tools
Job description
The Lead Analytics Engineer is responsible for modeling data to provide clean, accurate, well-documented datasets for use across the organization. They will serve as the subject matter expert for asset and actuarial data models holdings, transactions, security reference, and performance data supporting Finance, Investment Management, and Actuarial stakeholders as investment data migrates from legacy sources onto a modern cloud data platform. They are expected to review, influence, and support the development of junior engineers, and have a positive influence across the analytics community. They identify new opportunities to create data products that advance company goals.
The Lead Analytics Engineer is responsible for modeling data to provide clean, accurate, well-documented datasets for use across the organization. They will serve as the subject matter expert for asset and actuarial data models holdings, transactions, security reference, and performance data supporting Finance, Investment Management, and Actuarial stakeholders as investment data migrates from legacy sources onto a modern cloud data platform. They are expected to review, influence, and support the development of junior engineers, and have a positive influence across the analytics community. They identify new opportunities to create data products that advance company goals.
- 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.
- You are a technical leader and mentor who enjoys developing others, establishing best practices, and elevating the capabilities of the broader analytics and engineering community.
- You are a curious problem solver who thrives in complex environments, proactively identifying opportunities to improve data quality, streamline processes, and unlock new analytical insights.
- Bachelor’s degree in computer science, Data Analytics, Information Systems, Mathematics, Finance, Actuarial Science, or a related field, or equivalent experience.
- 8-10 years of experience in analytics engineering, data engineering, business intelligence, or related data-focused roles.
- Advanced expertise in SQL, Python, data modeling, ETL/ELT development, and cloud data architecture.
- Experience with modern cloud data platforms such as Snowflake, Databricks, BigQuery, or Amazon Redshift.
- Proficiency with analytics engineering and transformation tools such as dbt, SQLMesh, Coalesce, or Dataform.
- Experience with workflow orchestration and pipeline management tools such as Dagster, Airflow, Prefect, or Azure Data Factory.
- Strong understanding of investment management, investment accounting, insurance asset data, performance measurement, and actuarial analytics.
- Demonstrated success leading complex data initiatives, influencing technical direction, and delivering enterprise-scale analytics solutions.
We don’t take a “one-size-fits-all” approach when it comes to our employees. Our programs are designed to make your life better both at work and at home.
- Flexible full-time or hybrid telecommuting arrangements
- Plan for your future with our 401(k) plan and take advantage of immediate vesting and company matching up to 6%
- Paid time away including vacation and sick time, flex days and ten paid holidays
- Give back to your community and double your impact through our company matching
- Want more details? Check out our Symetra Benefits Overview
Salary Range: $128,700 - $214,600 plus eligibility for annual bonus program
- Minimum Internet Speed: 100 Mbps download and 20 Mbps upload, in alignment with the FCC's definition of "broadband."
- Internet Type: Fiber, Cable (e.g., Comcast, Spectrum), or DSL.
- Not Permissible: Satellite (e.g., Starlink), cellular broadband (hotspot or otherwise), any other wireless technology, or wired dial-up.
When applying to jobs at Symetra you’ll be asked to test your internet speed and confirm that your internet connection meets or exceeds Symetra’s standard as outlined above.
Symetra is committed to fair and secure hiring practices. For all roles, candidates will be required (after the initial phone screen) to be on video for all interviews. Symetra will take affirmative steps at key points in the process to verify that a candidate is not seeking employment fraudulently, e.g. through use of a false identity.
- Disqualification from the recruitment process
- Withdrawal of a job offer
- Termination of employment and other criminal and/or civil remedies, if fraud is discovered
At Symetra, we aspire to be the most inclusive insurance company in the country. We’re building a place where every employee feels valued, respected, and has opportunities to contribute.
Inclusion is about recognizing our assumptions, considering multiple perspective, and removing barriers. We accept and celebrate diverse experiences, identities, and perspectives, because lifting each other up fuels thought and builds a stronger, more innovative company. We invite you to learn more about our efforts here.
Symetra is a national financial services company dedicated to helping people achieve their financial goals and feel confident about the future. In our daily work, we’re guided by the principles of Value, Transparency and Sustainability. This means we provide products and services people need at a competitive price, we communicate clearly and openly so people understand what they’re buying, and we design products—and operate our company—to stand the test of time. We’re committed to showing up for our communities, lifting up our employees, and standing up for diversity, equity and inclusion (DEI). Join our team and help us create a world where more people have access to financial freedom.
For more information about our careers visit https://symetra.eightfold.ai/careers
Employer work visa sponsorship and support are not provided for this role. Applicants must be currently authorized to work in the United States at hire and must maintain authorization to work in the United States throughout their employment with our company.
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
