Elly Analytics is a Series A US startup helping ad-driven businesses make smarter decisions using full-funnel marketing analytics. We’re all about data-driven decisions, and we focus on clients with complex sales cycles.
- 30+ dedicated professionals.
- 3x YoY growth and 10x growth target for this year.
- Backed by three top‑tier venture funds and numerous industry angels.
Our founders built a performance marketing agency from the ground up, scaled it to 150 employees, worked with 200+ clients, and managed $15M in ad budgets.
Join our technical team responsible for end-to-end implementation of client projects, from initial project planning and MVP creation to long-term sustainment.
As a Data Engineer in the Performance Marketing Analytics team, your primary responsibilities will include
- Analyze client data sources and reporting needs.
- Develop ETL pipelines to collect, transform and combine data from various systems (Google Ads, Facebook Ads, Instagram, GA UA, GA4, GTM, etc.).
- Work with APIs to integrate external systems.
- Structure data models and calculate client metrics.
- Build dashboards and visual reports.
- Ensure data quality and consistency.
- Maintain up-to-date project documentation.
- Continuously improve data processes and infrastructure.
Please note: this role is technical in nature and does not involve business operations or hypothesis-driven marketing activities.
Requirements
We're looking for a candidate with the following expertise:
- Strong proficiency in SQL, with extensive hands-on experience.
- Solid experience building ETL processes and working with APIs for various external systems.
- Proven expertise in data visualization tools.
- Experience in client-facing projects, understanding technical requirements clearly.
- Fluent in Russian (native-level) and upper-intermediate or advanced proficiency in English.
Nice to have
- Familiarity with web analytics (GA UA, GA4, GTM) and advertising platform APIs (Google Ads, Facebook/Instagram Ads, etc.).
Perks and benefits
- Competitive salary: for this role, the range is $2,500 — $4,000 before tax monthly, depending on your experience level with the potential for growth.
- Professional growth: opportunity to grow to Senior level and lead own team.
- Work remotely: live and work wherever you like.
- Home office setup: laptop, software, and anything else you may need for work.
- Professional development: we cover 50% of the costs of relevant educational activities.
- Vacation time: annual leave (twice a year for two weeks) + holidays.
- Employment: via Deel contract.
Hiring process
Do you fit this role and want to join our team? These are the following steps:
- Complete a short survey about your experience.
- Meet our team at the 1st interview.
- Have a technical interview with our Lead and Senior Analyst.
- Review results with our team.
Please note that you must be available five days a week and have at least five working hours overlap with the team and clients (PST/PDT time zone).
Be hired and join us!
