Harvey20 days ago
Senior Analytics Engineer, Product
Salary not specified
MARKET
15,031 ₽median for this role
Product Manager · 55 jobs with disclosed pay
5,667half of the offers: 12,166–24,398130,000
The employer didn't disclose pay — compare with the market yourself.
Полная занятостьУдалёнка
Responsibilities
- 01Design and build scalable data models and pipelines using dbt to transform raw data into clean, reliable assets that power company-wide analytics and decision-making
- 02Define and implement a robust semantic layer (e.g. LookML/Omni/Other) that standardizes key business metrics, dimensions, and data products, ensuring self-serve capabilities for stakeholders across teams
- 03Partner cross-functionally with Product, GTM, Finance, and the Exec Team to deliver intuitive, consistent dashboards and analytical tools that surface business health metrics
- 04Establish and champion data modeling standards and best practices, guiding the organization in how to model data for accuracy, performance, usability, and long-term maintainability
- 05Partner with Product Managers, Engineers, and Data teams to design tracking plans for new product surfaces, ensuring events are implemented accurately, consistently, and with downstream analytics use cases in mind
- 06Own the product event tracking strategy, including event naming conventions, property schemas, identity resolution, sessionization, versioning, deprecation, and documentation standards
- 07Empower stakeholders with data by making analytical assets easily discoverable, reliable, and well-documented – turning complex datasets into actionable insights for the business
- 08Define the structure, taxonomy, governance, and modeling patterns for product event data, ensuring that user behavior, product usage, and customer journeys are captured consistently from instrumentation through analytics-ready models
Requirements
- 015+ years of experience in Analytics Engineering, Data Engineering, Data Science, or similar field
- 02Deep expertise in SQL, dbt, Python, Snowflake
- 03Experience with modern BI tools like Looker/Omni or similar
- 04Skilled at defining core business and product metrics, uncovering insights, and resolving data inconsistencies across complex systems
- 05Strong familiarity with version control (GitHub), CI/CD, and modern development workflows
- 06Bias for action – you prefer launching usable, iterative data models that deliver immediate value over waiting for perfect solutions
- 07Strong communicator who can build trusted partnerships across Product, GTM, Finance, and Exec stakeholders
- 08Comfortable working through ambiguity in fast-moving, cross-functional environments
- 09Balances big-picture thinking with precision in execution – knowing when to sweat the details and when to move quickly
- 10Experience modeling high-volume, semi-structured product event data, including JSON payloads, nested properties, user/account identifiers, sessions, funnels, cohorts, and behavioral metrics
- 11Experience with product analytics tools (Mixpanel, Segment, Amplitude)
What we offer
- 01Compensation: $155,800 - $233,600 USD
- 02Depending on your location, an applicant privacy notice may apply
- 03Harvey is an equal opportunity employer
- 04Commitment to providing reasonable accommodations to applicants with disabilities