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Analytics Engineer Jobs in Downey, CA (NOW HIRING)

FIGS

Senior Analytics Engineer

Santa Monica, CA · On-site

$130K - $150K/yr

As a Senior Analytics Engineer, you will own the development of curated datasets, semantic models, and analytics frameworks that enable teams across Product, Marketing, Operations, Finance, Supply ...

New

FIGS

Senior Analytics Engineer

Santa Monica, CA · On-site

$130K - $150K/yr

As a Senior Analytics Engineer, you will own the development of curated datasets, semantic models, and analytics frameworks that enable teams across Product, Marketing, Operations, Finance, Supply ...

New

Abbott

Analytics Engineer

Los Angeles, CA

$81K - $141K/yr

Works with Sr Engineers to understands how business needs are converted into analytical/technical requirements; provides input to data gathering. * Assists in the scoping, planning and delivery of ...

Abbott

Analytics Engineer

Los Angeles, CA · On-site

$81K - $141K/yr

Works with Sr Engineers to understands how business needs are converted into analytical/technical requirements; provides input to data gathering. * Assists in the scoping, planning and delivery of ...

Abbott

Analytics Engineer

Sylmar, CA · On-site

$81K - $141K/yr

Works with Sr Engineers to understands how business needs are converted into analytical/technical requirements; provides input to data gathering. * Assists in the scoping, planning and delivery of ...

Abbott

Analytics Engineer

Los Angeles, CA · On-site

$81K - $141K/yr

Works with Sr Engineers to understands how business needs are converted into analytical/technical requirements; provides input to data gathering. * Assists in the scoping, planning and delivery of ...

Abbott

Analytics Engineer

Los Angeles, CA · On-site

$81K - $141K/yr

Works with Sr Engineers to understands how business needs are converted into analytical/technical requirements; provides input to data gathering. * Assists in the scoping, planning and delivery of ...

Abbott

Analytics Engineer

Los Angeles, CA · On-site

The Analytics Engineer will develop, construct, test, and maintain data architectures, focusing on infrastructure and data flow management, while building and maintaining data pipelines and ensuring ...

Kirkhill Inc.

Data Analytics Engineer

Brea, CA · On-site

$118K - $141K/yr

Job Role The Senior Data Analytics Engineer serves as a key technical and analytical partner within Kirkhill, developing and optimizing systems, data, analytics, and automation. This position ...

New

Kirkhill Inc.

Data Analytics Engineer

Brea, CA · On-site

$85K - $200K/yr

Job RoleThe Senior Data Analytics Engineer serves as a key technical and analytical partner within Kirkhill, developing and optimizing systems, data, analytics, and automation. This position supports ...

New

Kirkhill Inc.

Data Analytics Engineer

Brea, CA · On-site

$85K - $200K/yr

Job Role The Senior Data Analytics Engineer serves as a key technical and analytical partner within Kirkhill, developing and optimizing systems, data, analytics, and automation. This position ...

New

Prosum

Senior BI / Analytics Engineer

Culver City, CA · On-site

$114K - $156K/yr

Overview A growing organization is seeking a Senior BI / Analytics Engineer to help build and scale a modern data and analytics ecosystem. This role will focus on designing and maintaining scalable ...

Prosum Inc.

Senior BI / Analytics Engineer

Los Angeles, CA · On-site

$112K - $154K/yr

Senior BI / Analytics Engineer Salary Range: $150k to $165kOverview A growing organization is seeking a Senior BI / Analytics Engineer to help build and scale a modern data and analytics ecosystem.

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All JobsAnalytics Engineer JobsAnalytics Engineer Jobs in Downey, CA

Analytics Engineer information

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.

How does an analytics engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What are the key skills and qualifications needed to thrive as an analytics engineer, and why are they important?

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

Do analytics engineers make good money?

Analytics engineers typically earn competitive salaries that vary by experience, location, and industry. They often have skills in SQL, data modeling, and tools like Python or Spark, which can contribute to higher compensation. Overall, the role is considered well-paying within the data and analytics field.

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for business insights.

What are the most commonly searched types of Analytics Engineer jobs in Downey, CA?

The most popular types of Analytics Engineer jobs in Downey, CA are:

What are popular job titles related to Analytics Engineer jobs in Downey, CA?

For Analytics Engineer jobs in Downey, CA, the most frequently searched job titles are:

What cities near Downey, CA are hiring for Analytics Engineer jobs?

Cities near Downey, CA with the most Analytics Engineer job openings:

Analytics Engineer jobs near you
Infographic showing various Analytics Engineer job openings in Downey, CA as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution.

Senior Analytics Engineer

FIGS

Santa Monica, CA • On-site

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

Job description

FIGS is seeking a highly motivated Senior Analytics Engineer to join our Data Engineering team. This role sits at the intersection of data engineering, analytics, and business strategy, transforming raw data into trusted, scalable data products that power decision-making across the organization.
As a Senior Analytics Engineer, you will own the development of curated datasets, semantic models, and analytics frameworks that enable teams across Product, Marketing, Operations, Finance, Supply Chain, and Ecommerce to self-serve insights confidently. You will partner closely with Data Engineers, Analysts, and business stakeholders to define data standards, improve data quality, and build scalable analytics solutions.
The ideal candidate combines strong technical expertise in modern data platforms with a passion for translating business needs into reliable, well-documented data assets.
What You'll Do
Analytics Engineering & Data Modeling
  • Design, develop, and maintain scalable dimensional data models and semantic layers that support reporting, experimentation, and advanced analytics.
  • Build, refactor, and maintain production dbt models in Snowflake, including staging, intermediate, mart, incremental, snapshot, and semantic/metrics layers.
  • Develop reusable data products, metrics definitions, and business logic to ensure consistency across reporting and analysis.
  • Establish and maintain data lineage, documentation, testing, and governance practices.

Business Partnership
  • Collaborate with stakeholders across Ecommerce, Marketing, Finance, Operations, Product, and Customer Experience to understand analytical requirements and translate them into scalable solutions.
  • Drive alignment on KPI definitions, metric governance, and reporting standards.
  • Partner with analysts and business teams to improve self-service analytics capabilities.

Data Quality & Reliability
  • Implement automated testing, monitoring, and validation processes to ensure high-quality data assets.
  • Investigate and resolve data discrepancies, pipeline failures, and reporting inconsistencies.
  • Define and champion best practices for analytics engineering, documentation, and code review.

Platform & Process Improvement
  • Contribute to the architecture and evolution of FIGS' modern data stack.
  • Optimize Snowflake and dbt workloads for performance, scalability, and cost efficiency, including query tuning, materialization strategy, warehouse usage, and incremental model design.
  • Mentor analysts and junior team members on data modeling, SQL development, and analytics engineering best practices.
  • Optimize data platforms by identifying opportunities for AI and agentic technology integration, automating complex workflows to improve efficiency, scalability, and system stability.

What You'll Bring
Required Qualifications
  • 5+ years of experience in Analytics Engineering, Data Engineering, Business Intelligence, or related data roles.
  • Experience in Ecommerce, Retail, Consumer Products, or DTC businesses.
  • Advanced SQL skills with experience building production-grade data models.
  • Hands-on experience architecting dbt projects, including model layering, naming conventions, tests, documentation, macros, packages, exposures, and deployment workflows.
  • Experience working with modern cloud data warehouses such as Snowflake, BigQuery, Databricks, or Redshift.
  • Strong understanding of dimensional modeling, data warehousing concepts, and analytics best practices.
  • Experience with Git-based analytics workflows, dbt testing, code review, deployment processes, and data quality checks.
  • Strong ability to investigate data quality issues across source systems, transformation logic, and BI outputs.
  • Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.
  • Ability to independently drive projects from requirements gathering through delivery.

Preferred Qualifications
  • Familiarity with experimentation frameworks, customer analytics, marketing attribution, and lifecycle metrics.
  • Experience with BI tools such as Looker, Hex, Secoda AI, etc.
  • Experience with Python for analytics or data transformation workflows.
  • Knowledge of reverse ETL, customer data platforms (CDPs), and modern data activation strategies.
  • Experience mentoring team members and influencing data strategy across an organization.
  • Demonstrate curiosity and a strong understanding of AI and agentic technologies to elevate data modeling, reliability, and engineering standards.

FIGS Compensation and Benefits
Pay Range
  • At FIGS, your base salary is one part of your total compensation package. This role's base salary range is between $130,000 and $150,000. Actual base salary is determined based on a number of factors, including but not limited to your relevant skills, qualifications, and years of experience.

Additional Compensation and Benefits
  • Comprehensive benefits and perks package focused on your well-being, including premium medical, dental and vision coverage, and full access to wellness services through Breethe and Classpass. 100% FIGS-sponsored life insurance and disability insurance
  • Amazing 401(k) program, with a company match up to the first 6% of your contribution
  • Generous paid time off - We have 12 company holidays. For salaried team members, we offer flexible vacation. For our hourly team members, we offer up to 3 weeks of accrued vacation
  • Meaningful time away for baby bonding, including parental leave, new parent care meals, and a transition back to work for primary caregivers
  • FIGS sponsored Uber Eats voucher for in-office weeks
  • Personalized discount code for 50% off all FIGS products, along with a separate code to share with family and friends to enjoy a 25% discount site-wide
  • Access to FIGS Vet, Discounted Pet Daycare, Discounted Pet Insurance, and so much more...

*Benefits eligibility is determined by hour requirements and length of service
A little bit about us...
FIGS, Inc. is a founder-led, direct-to-consumer healthcare apparel and lifestyle brand that seeks to celebrate, empower and serve current and future generations of healthcare professionals. We redefine what scrubs are by creating technically advanced apparel and products that feature an unmatched combination of comfort, durability, function and style, all at an affordable price. With the largest DTC platform in healthcare apparel, we sell our products to a rapidly growing community of loyal customers. Through these customer relationships, FIGS has built a community and lifestyle around a profession, revolutionizing the large and fragmented healthcare apparel market and becoming the industry's category-defining healthcare apparel and lifestyle brand.
Our Threads for Threads initiative is integral to our mission to improve the lives of healthcare professionals on a global scale. Founded alongside FIGS in 2013, Threads for Threads donates scrubs to healthcare professionals working in resource-poor countries around the world.
FIGS considers all Qualified Applicants, including those with Criminal Histories (e.g., arrests or conviction records), for Employment in accordance with applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
For information about how we process information in connection with your application, view our Employee & Applicant Privacy Policy linked in the footer below.

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