The Analytics Engineer will design and implement analytics solutions, maintain reporting dashboards, partner with Product on KPIs, and support marketing with analytics.
Analytics Engineer
About The Company
We’re reimagining what modern marketing automation looks like. Our
platform helps businesses unify their customer data and deliver personalized,
automated engagement across every major channel, email, SMS, digital
advertising, and direct mail all from one intelligent system.
We’re building a product where data is the foundation, not an afterthought. From
real-time insights to AI-powered automation, our work directly shapes how
companies understand and grow their customer relationships. If you’re excited
about creating reports, building true ROI calculators and extracting intelligent
insights from mass data then this is the opportunity for you.
Role Overview
We’re looking for an Analytics Engineer to help design, build, and scale the
analytics backbone of the platform. This role sits at the intersection of data
engineering, analytics, and product. You’ll own how data flows through our
systems, how it’s modeled for reporting, and how it’s ultimately surfaced to
customers and internal teams. Your work will directly influence product decisions,
customer outcomes, and how we measure success.
If you enjoy building clean, scalable reporting solutions and turning complex data
into insights people actually use this role offers real ownership and impact.
What You’ll Do
- Define and own the implementation for analytics and reporting within the product
- Build and maintain dashboards, reports and supporting data models
- Develop custom analytics solutions for paying customers
- Partner with Product to define and monitor KPIs
- Support Marketing and Customer Success with analytics needs
- Automate recurring reporting workflows
What We’re Looking For
- Strong SQL proficiency and working with Databases (PostgreSQL preferred)
- Experience building, maintaining and enhancing analytics dashboards
- BI tools knowledge (experience with Zoho analytics a plus)
- Knowledge of data modeling and analytics best practices
- Ability to communicate insights clearly
- Self-starter mindset in a fast-paced environment
- Basic programming skills with Python, R or similar tools
- Data warehousing and ETL experience would be a plus (DBT, Snowflake, Pentaho, DataFold)
Qualifications
- 3+ years of reporting or data modeling experience
- Experience delivering analytics for products or customers
- Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field (or equivalent experience) or equivalent experience.
Salary based on experience and location.
Similar Jobs
.png){kind=logo}
HR Tech • Professional Services • Sales • Consulting
Qualify inbound leads and execute targeted outbound outreach to book meetings and generate pipeline for Account Executives. Research prospects, articulate value to HR/L&D leaders, track activity in CRM, collaborate with sales and marketing, and improve SDR playbook using sales tools and AI for personalization.
Top Skills:
Ai ToolsApolloClaudeClayHubspotLinkedin Sales Navigator
Cloud • Information Technology • Security • Software • Cybersecurity
Lead reliability and production engineering for a global, multi-cloud platform. Build highly available infrastructure, drive automation with Python/Go, implement observability (Prometheus, Grafana, OpenTelemetry), define SLIs/SLOs, run incident command and post-incident analyses, and partner across teams to improve operability and scalability.
Top Skills:
AnsibleAWSAzureBare-MetalBgpC/C++Chaos EngineeringDisaster RecoveryDnsGCPGoGrafanaGreHaproxyHelmIpsecItilLinux/RhelOpentelemetryPrometheusPythonSlis/SlosTemporalTerraform
Cloud • Information Technology • Security • Software • Cybersecurity
Sell Zscaler's data security suite (DLP, CASB, DSPM) to enterprise customers in major US cities. Serve as the specialist for account-based strategies, partner with solution engineers, engage C-suite and technical stakeholders, own regional quota, and collaborate with sales leadership to drive net-new and expansion deals.
Top Skills:
AICasbCloud SecurityCloud-NativeDlpDspmZero TrustZero Trust Exchange
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
