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Senior Analytics Developer Jobs in Downey, CA (NOW HIRING)

Arena Club

Senior Analytics Engineer

Los Angeles, CA · On-site

Qualifications * 5+ years' experience in analytics engineering, data engineering, or a related data role with direct experience building on a modern data stack * Bachelor's degree (ideally in a ...

Arena Club

Senior Analytics Engineer

Los Angeles, CA · On-site

$130K - $165K/yr

Qualifications * 5+ years' experience in analytics engineering, data engineering, or a related data role with direct experience building on a modern data stack * Bachelor's degree (ideally in a ...

Arena Club

Senior Analytics Engineer

Los Angeles, CA

$130K - $165K/yr

Qualifications * 5+ years' experience in analytics engineering, data engineering, or a related data role with direct experience building on a modern data stack * Bachelor's degree (ideally in a ...

AXS

Sr. Web Analytics Developer

Los Angeles, CA · On-site

The Role The Senior Web Analytics Developer is responsible for providing instrumenting web data collection, ensuring data quality, and then leveraging that data to develop insights that drive data ...

AXS

Sr. Web Analytics Developer

Los Angeles, CA

The Role The Senior Web Analytics Developer is responsible for providing instrumenting web data collection, ensuring data quality, and then leveraging that data to develop insights that drive data ...

mpi

Senior Analytics Engineer

Los Angeles, CA · Hybrid

$112K - $154K/yr

MPI is seeking a Senior Analytics Engineer to become a member of our IT department in Studio City ... What You Will Need: * 7+ years of hands-on experience as a SQL Developer or Data Analyst * Bachelor ...

AEG

Sr. Web Analytics Developer

Los Angeles, CA · On-site

The Senior Web Analytics Developer will be responsible for instrumenting web data collection, ensuring data quality, and developing insights to drive data-informed decisions across AXS' platforms.

AXS

Sr. Web Analytics Developer

Los Angeles, CA · On-site

The Senior Web Analytics Developer will be responsible for instrumenting web data collection and leveraging that data to develop insights that drive decisions across AXS' platforms, collaborating ...

AXS

Sr. Web Analytics Developer

Los Angeles, CA · On-site

The Senior Web Analytics Developer will be responsible for implementing web data collection strategies, ensuring data quality, and providing insights to enhance customer experience and optimize ...

AXS

Sr. Web Analytics Developer

Los Angeles, CA · On-site

The Senior Web Analytics Developer is responsible for instrumenting web data collection and leveraging that data to develop insights that drive data-informed decisions across AXS' web and mobile ...

Living Spaces

Senior Data Analytics Developer

La Mirada, CA · On-site

$109.57 - $146.10/hr

R45009## Position Summary The Senior Data Analytics Developer will play a crucial role in ensuring relevant, timely, and actionable business integrations for Living Spaces. They will take charge of ...

Living Spaces

Senior Data Analytics Developer

La Mirada, CA · On-site

$109K - $146K/yr

Position Summary The Senior Data Analytics Developer will play a crucial role in ensuring relevant, timely, and actionable business integrations for Living Spaces. They will take charge of designing ...

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All JobsAnalytics Developer JobsSenior Analytics Developer JobsSenior Analytics Developer Jobs in Downey, CA

Senior Analytics Developer information

See Downey, CA salary details

$15

$64

$91

How much do senior analytics developer jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for senior analytics developer in Downey, CA is $64.20, according to ZipRecruiter salary data. Most workers in this role earn between $54.52 and $71.97 per hour, depending on experience, location, and employer.

What is a senior analytics developer?

A Senior Analytics Developer is a professional who designs, builds, and maintains complex data analytics solutions to help organizations make data-driven decisions. They are responsible for developing advanced data models, creating dashboards and reports, and ensuring data quality and accuracy. Typically, they work with large datasets, use programming languages like SQL or Python, and collaborate closely with data scientists, business analysts, and other stakeholders. Senior Analytics Developers also mentor junior team members and help set best practices for analytics projects. Their work is crucial in providing actionable insights that drive business strategy.

How does a senior analytics developer typically collaborate with other teams during a data project?

Senior Analytics Developers frequently collaborate with cross-functional teams such as data engineers, business analysts, and product managers. They work closely with data engineers to ensure data pipelines are robust and with business stakeholders to translate complex analytics findings into actionable insights. Regular meetings and agile ceremonies are common to align on project goals, troubleshoot challenges, and refine deliverables. This collaborative environment ensures analytics solutions are both technically sound and aligned with business priorities.

What are the key skills and qualifications needed to thrive as a senior analytics developer, and why are they important?

To thrive as a Senior Analytics Developer, you need expertise in data analysis, programming (such as Python or SQL), and a strong understanding of statistical methodologies, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with advanced analytics platforms (like Tableau or Power BI), big data tools (such as Hadoop or Spark), and relevant certifications (e.g., Microsoft Certified Data Analyst) is often required. Strong problem-solving abilities, attention to detail, and effective communication skills help you translate complex data insights into actionable business solutions. These skills and qualifications are crucial for delivering high-impact analytics projects that drive decision-making and business growth.

What is the difference between Senior Analytics Developer vs Data Analyst?

AspectSenior Analytics DeveloperData Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; often certifications in SQL, Python, or TableauBachelor's degree in Statistics, Mathematics, or related field; certifications in Excel, SQL, or data visualization tools
Work EnvironmentDevelops complex analytics solutions, works with data engineering teams, and builds dashboardsAnalyzes data sets, prepares reports, and visualizes data for business insights
Employer & Industry UsageUsed in tech, finance, and consulting firms for advanced analytics projectsCommon across various industries for business reporting and decision-making

In summary, a Senior Analytics Developer focuses on creating advanced analytics solutions and dashboards, often requiring programming skills and technical expertise. A Data Analyst primarily interprets data, prepares reports, and visualizes insights for business teams. While both roles work with data, the Senior Analytics Developer typically handles more complex technical tasks.

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

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

Senior Analytics Developer jobs near you
Infographic showing various Senior Analytics Developer job openings in Downey, CA as of August 2026, with employment types broken down into 1% Internship, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $133,527 per year, or $64.2 per hour.

Senior Analytics Engineer (Mandarin Speaker)

Los Angeles, CA • Remote

Career Renew
See more jobs at Career Renewexternal

$150K - $250K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Career Renew is recruiting for one of its clients a Senior Analytics Engineer (Mandarin Speaker) - this is a fully remote role for US-based candidates. Salary range: 150-250K USD base plus benefits plus equity.
We are building the TikTok of interactive mini-apps — a consumer social platform where users scroll a feed of playable experiences and create their own simply by describing what they want. Our AI-powered creation flow turns natural language into shareable, interactive content. Backed by a16z, Mayfield, and Khosla, founded in 2024, and already at 1M+ MAUs.

We are looking for a Senior Analytics Engineer with 4+ years of experience to build the data modeling and analytics layer from the ground up at a fast-growing consumer social platform. This is a founding role – you'll own the transformation layer that turns raw product events, backend logs, and operational data into clean, reliable datasets powering product analytics, experimentation, growth insights, and company-wide metrics. You'll work closely with product, engineering, growth, and leadership to define how the company understands user behavior, content performance, and retention. This is ideal for someone who thrives in ambiguity, loves building practical v1s quickly, and wants outsized ownership at an early-stage company.

What you will be doing

  • Designing and maintaining core analytics data models that transform raw events and logs into clean, trusted, analysis-ready tables

  • Defining and operationalizing company-wide metrics – DAU, retention, creator supply, content engagement, funnel conversion, and growth efficiency

  • Building dashboards and self-serve data products that help teams track product performance and diagnose issues quickly

  • Partnering with product and engineering to improve event taxonomy, instrumentation quality, and data consistency across app, web, and backend

  • Establishing data quality standards, testing, documentation, and freshness checks so the team can trust the numbers

Requirements:
4 - 10 years of experience in analytics engineering or data engineering (Mandatory)
Built data models from raw events at a VC-backed startup or reputable consumer company (e.g., TikTok, Instagram, Snap) (Mandatory)
Experience at a consumer social, gaming, or creator platform (Nice-to-have)
Built analytics engineering function at early-stage startup (Nice-to-have)
Advanced SQL proficiency for designing reusable canonical data models (Mandatory)
Experience with BigQuery, Snowflake, or similar modern warehouses (Mandatory)