Data Analytics Engineer Jobs in Los Angeles, CA
Data Analytics Engineer jobs in Los Angeles are in strong demand, concentrated in Silicon Beach, Downtown LA, and Culver City across entertainment technology, e-commerce, and financial services. Employers hiring right now include Whatnot, Deloitte, and TikTok USDS JV. Find a role that fits below and apply directly.
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Director of Financial Planning and Analysis
About the Company:
PLTFRM is an industry-leading omnichannel commerce growth accelerator. The Company owns and operates a portfolio of specialized sales agencies that drive revenue for its brand partners via digital and brick-and-mortar retail channels, including Walmart, Target, Costco, Amazon, Tik Tok, Sam’s Club, Best Buy, Walgreens, Grocery, and numerous additional online marketplaces. The Company’s best-of-breed, mission-critical managed services include omnichannel sales strategy, E-commerce optimization, supply chain and logistics management, digital marketing, content services, demand forecasting, retail analytics, and category management. Across our client base we manage over $12 billion in annual retail sales for our 800+ clients. Established in 2005 and privately held, the company has a long history of accelerating brand growth for consumer brands of all sizes, stages, and industry verticals.
About the Role:
Key Responsibilities:
- Lead the annual budgeting and quarterly forecasting processes, collaborating with department heads and executive leadership.
- Support and maintain dynamic financial models to support scenario planning, profitability analysis, and cash flow forecasting.
- Deliver monthly variance analyses, KPI dashboards, and business performance reports with actionable insights.
- Serve as a strategic partner to cross-functional teams including Sales, Marketing, and Operations, providing financial guidance and decision support.
- Support investor reporting with high-quality materials and data-backed narratives.
- Identify and implement process improvements to streamline reporting, forecasting, and planning operations.
- Assist in evaluating business cases for capital expenditures, new product launches, pricing changes, or market expansion.
- Partner with Accounting to ensure alignment between financial planning and actuals.
Qualifications & Experience:
Experience:
- Bachelor’s degree in Finance, Accounting, or Business; MBA or CPA preferred.
- 5+ years of progressive experience in FP&A, preferably in retail services, consumer goods, sales agencies, or commission-based businesses.
- Proficient in Excel and financial modeling; experience with NetSuite, Power BI, or FP&A tools like Planful or Adaptive Planning is a plus.
- Strong interpersonal skills to work across sales, client, and executive teams.
- Ability to manage multiple priorities and meet tight deadlines in a dynamic, client-driven environment.
Compensation:
- Competitive salary and bonus structure depending on experience
- Benefits package (health, dental, retirement plans, etc.).
- Unlimited PTO
Equal Opportunity Employer: We are an equal opportunity employer and encourage applicants from diverse backgrounds to apply. We are committed to fostering an inclusive workplace where all employees can thrive.
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Find Data Analytics Engineer JobsData Analytics Engineer Job Market in Los Angeles
Who's Hiring
- Whatnot4
- Deloitte4
- TikTok USDS JV4
- City National Bank4
- L.A. Care Health Plan4
Top Industries Hiring
- Technology & Software13
- Consulting & Professional Services12
- Media & Entertainment5
- Investment & Asset Management5
- Retail4
Data Analytics Engineer Jobs in Los Angeles: Frequently Asked Questions
How do I get a data analytics engineer job in Los Angeles?
Target Los Angeles's densest hiring clusters: entertainment technology companies in Culver City and Playa Vista, e-commerce and retail tech firms in Downtown LA, and financial services employers in Century City and Westwood. Hands-on experience with dbt, Spark, or Snowflake stands out here. Networking through local data meetups and tech events in the Silicon Beach corridor gives candidates a genuine edge over remote applicants.
Which companies hire data analytics engineers in Los Angeles?
Companies currently hiring data analytics engineers in Los Angeles include Whatnot, Deloitte, and TikTok USDS JV, per current listings on Migrate Mate as of June 2026. Los Angeles draws a broad mix of employers, from streaming and media conglomerates headquartered in the city to fast-growing direct-to-consumer brands and regional financial institutions.
Are there remote data analytics engineer jobs in Los Angeles?
Yes, data analytics engineering is well suited to remote and hybrid arrangements since the work is largely desk-based and collaborative through cloud tools rather than on-site infrastructure. About 33% of data analytics engineer openings tied to Los Angeles are remote or hybrid as of June 2026. Pipeline development, data modeling, and stakeholder reporting are the functions most commonly performed fully remote in the Los Angeles market.
How can I get a data analytics engineer job in Los Angeles with little or no experience?
The most realistic entry path in Los Angeles is moving laterally from a data analyst or BI analyst role at a mid-size e-commerce or media company, then building engineering skills on the job. Smaller startups in Silicon Beach and Culver City frequently hire junior candidates willing to own the full data stack early. A portfolio of dbt models or a public pipeline project on GitHub makes a strong impression with Los Angeles hiring managers even without prior engineering titles.
Which industries hire the most data analytics engineers in Los Angeles?
The sectors hiring the most data analytics engineers in Los Angeles are Technology & Software, Consulting & Professional Services, and Media & Entertainment, based on current listings on Migrate Mate as of June 2026. Los Angeles's unique mix of entertainment giants, direct-to-consumer brands, and a growing fintech corridor means demand for engineers who can handle large-scale behavioral and transactional data is especially concentrated here.
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