Senior Analytics Engineer

  • Louisville, KY
  • Posted 2 days ago | Updated 6 hours ago

Overview

On Site
Full Time

Skills

Regulatory Compliance
FP&A
Sales
Marketing Operations
Know Your Customer
Management
Rally
Accountability
NetSuite
DTCC
Dimensional Modeling
Interfaces
Data Quality
GitHub
Expect
Document Processing
Embedded Systems
Data Engineering
SQL
Debugging
Modeling
Testing
Workflow
Cloud Computing
Data Warehouse
Amazon Redshift
Databricks
Python
Data Processing
Git
Continuous Integration
Continuous Delivery
Analytics
Financial Services
Annuities
Distribution
Semantics
Salesforce.com
Business Intelligence
Artificial Intelligence
Machine Learning (ML)
Snow Flake Schema
Orchestration
Enterprise Software
SaaS
Go-To-Market Strategy
Value Engineering
Roadmaps
Relationship Building
IT Service Management
Innovation
Collaboration
Recruiting
Insurance
Finance
Professional Development
Training
Leadership
CompTIA
Customer Service
Career Counseling
Apex
Oracle Application Express

Job Details

Job#: 3017175

Job Description:

Job Title: Senior Analytics Engineer

Location: Louisville, KY (Hybrid, 3-5 days/week)

Reports to: Chief Data Officer

Employment Type: Full-Time

About the Role

We're looking for someone who can go deep on modern data stack technology (Snowflake, dbt, semantic layers) while also understanding the business problems that data is meant to solve. You'll work directly with the CDO and collaborate closely with a small, high-impact analytics team where everyone contributes to shared infrastructure while owning their domain end-to-end.

This role has a path to leadership for the right person.

What You'll Own

Domain Ownership

You'll be the Directly Responsible Individual for one or more business domains at DPL. Available domains include:

  • Contracts & Controls (in-force contracts, compliance monitoring)
  • Finance Models (revenue/expense, variable compensation, FP&A)
  • Non-Finance Models (Sales, Marketing, Operations, Know Your Customer, Direct to Consumer)


Your choice, if you have the chops. Domain ownership means you're responsible for data quality, governance, pipeline reliability, modeling decisions, and delivering insights that actually move the business. Across all domains, you'll leverage AI and intelligence capabilities-semantic layers, self-service analytics, and business enablers-to deliver solutions that scale. No one is on an island-we collaborate on infrastructure and rally around problems together-but you'll have real accountability and autonomy over your domain.

Day-to-Day Work

  • Build and maintain dbt models that transform raw data from Salesforce, NetSuite, DTCC, and internal systems into business-ready datasets
  • Design and implement semantic layer definitions (metrics, dimensions, entities) that power both BI tools and AI/LLM interfaces
  • Own data quality for your domain-implement tests, monitoring, and alerting that catch issues before stakeholders do
  • Partner directly with business stakeholders to understand their problems and translate them into analytics solutions
  • Use AI coding assistants (GitHub Copilot, Claude, dbt Copilot) throughout the development lifecycle-we expect you to leverage these tools to move faster and maintain quality
  • Contribute to shared infrastructure: pipeline orchestration, CI/CD, observability, governance
  • Develop data products that solve real business problems-this could include AI-powered document processing, self-service analytics tools, or embedded partner BI


What You Bring

Required

  • 5+ years of experience in analytics engineering, data engineering, or a related field
  • Expert SQL skills-you can write complex queries, optimize performance, and debug data issues without hand-holding
  • Strong experience with dbt-you understand the modeling patterns, testing framework, and deployment workflows
  • Experience with Snowflake or a comparable cloud data warehouse (BigQuery, Redshift, Databricks)
  • Proficiency with Python for data processing, automation, or analysis (vibe coding is acceptable)
  • Working knowledge of Git and CI/CD practices for analytics code
  • Demonstrated experience using AI coding assistants to accelerate development-or genuine curiosity and willingness to adopt them
  • Ability to work onsite in Louisville, KY 3-5 days per week (relocation assistance available)


Nice to Have

  • Experience in insurance, financial services, or annuities distribution
  • Experience with semantic layer tools (dbt Semantic Layer/MetricFlow, Cube, AtScale, Snowflake Semantic Views)
  • Familiarity with Salesforce data models and integration patterns
  • Experience with modern BI tools like Sigma Computing, Hex, or Lightdash
  • Background building AI/ML-powered data products or preparing data for LLM applications, such as Snowflake Intelligence or Streamlit
  • Pipeline orchestration experience (Airflow, Dagster, Prefect, Matillion, Fivetran, OpenFlow)
  • Experience at an enterprise software company or SaaS platform-you understand how data teams support product and go-to-market at scale


What Success Looks Like

First 30 Days: You've onboarded to our tech stack, understand our data sources and current models, and have shipped your first contribution to the codebase.

First 60 Days: You've taken ownership of a domain area, identified gaps or opportunities, and have a roadmap for improvements. You're building relationships with business stakeholders.

First 90 Days: You're operating independently within your domain, delivering measurable value, and contributing to team infrastructure decisions. Stakeholders see you as their go-to partner for data.

Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Apex uses a virtual recruiter as part of the application process. Click for more details.

Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide.
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