Lead Analytics Engineer — Actuarial, Finance & Investments

Symetra; United States; Remote; USD 129,000 - 215,000; Full time

Benefits offered by this job

Flexible full-time or hybrid telecommu

401(k) with immediate vesting and 6%匹配

Paid time away (vacation, sick time,),

Company matching for community giving

Job summary

Symetra seeks a Lead Analytics Engineer to design, build, and maintain scalable data models and data marts for Finance, Investment Management, and Actuarial teams. You will lead migration of investment data from legacy systems to a modern cloud data platform, ensuring quality and accessibility across the organization.

You will mentor engineers, establish best practices, and collaborate with IT and analytics teams to deliver trusted, business-ready data and new analytical capabilities that drive

Qualifications

• Bachelor's degree in computer science, data analytics, information systems, mathematics, finance, actuarial science, or related field.
• 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.

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 with Finance, Investment Management, Actuarial, IT, and Analytics teams to translate requirements 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 with technical guidance, code reviews, architectural recommendations, and development coaching.
• Optimize data warehouse performance, schema design, access controls, and pipeline orchestration across 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

SQL

Python

Data modeling

ETL/ELT

Cloud architecture

Snowflake

Databricks

BigQuery

Redshift

dbt

SQLMesh

Coalesce

Dataform

Dagster

Airflow

Prefect

Azure Data Factory

Investment analytics

Actuarial analytics

Education

Bachelor's degree or equivalent experience

Tools

Snowflake

Databricks

BigQuery

Redshift

dbt

SQLMesh

Coalesce

Dataform

Dagster

Airflow

Prefect

Azure Data Factory

Job description

About the roleThe 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.What you will doDesign, 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.Who You AreYou 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.Nice to HavesBachelor’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.Why Work at SymetraHere’s what some of our employees have to say about why they work at Symetra:““I was referred to Symetra by a family friend who’s been with the company for years—and I’m so glad I took their advice. Symetra truly puts its people first. I’ve always felt supported, not micromanaged, and that trust has helped me grow. I started in an entry-level position and have worked my way up to Unit Manager by continuously learning and expanding my skills. It’s a place that believes in its employees and invests in their success.” - Morgan D., Sr. Unit Manager“\"Symetra will spoil you. There aren't many companies that will put as much effort into you being a success as Symetra. The culture will challenge you but simultaneously put you at ease. Failure is seen as integral to the learning process so there is less reason to be fearful of it.\" - Kerry S., Sr. Systems AnalystWhat we offer youBenefits and PerksWe 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 arrangementsPlan 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 holidaysGive back to your community and double your impact through our company matchingWant more details? Check out our Symetra Benefits OverviewCompensationSalary Range: $128,700 - $214,600 plus eligibility for annual bonus programPlease review Symetra’s Remote Network Minimum Requirements:As a remote-first organization committed to providing a positive experience for both employees and customers, Symetra has the following standards for employees’ internet connection: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.Identity VerificationSymetra 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.Failure to comply with verification procedures may result in:Disqualification from the recruitment processWithdrawal of a job offerTermination of employment and other criminal and/or civil remedies, if fraud is discoveredWe empower inclusionAt 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 .Creating a world where more people have access to financial freedomSymetra 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/careersWork AuthorizationEmployer 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.