OLX Uzbekistan is the largest online classifieds platform in the country, used by millions of people. We are actively expanding our team, creating an independent local platform, and automating key business processes.
Due to business scaling, we are looking for a strong Digital Marketing Analyst. The specialist will need to dive into the field of marketing analytics, connect user behavior in Web/App with business metrics, and build a reliable end-to-end analytics system in BigQuery.
The marketing team faces a significant task of migrating accounts from OLX Global, building tracking from scratch, and automating reporting using modern tools, including AI.
Responsibilities
Key Tasks:
1. Marketing Analytics and Growth Points
- Channel Analysis: Evaluate the effectiveness of paid and organic channels, funnels, and cohorts.
- Unit Economics: Calculate and monitor CAC, CPA/CPO, ROAS/ROMI, LTV, and Retention.
- End-to-End Analytics: Connect marketing sources with in-product actions (posting ads, contacting sellers).
- Testing: Develop attribution, design and evaluate A/B tests, geo-experiments, and incrementality tests.
- Insights: Prepare recommendations on budgets and conversion optimization for business teams.
2. Web & App Tracking
- System Audit: Organize GA4/GA360, GTM, Firebase, and Adjust; eliminate data duplicates and gaps.
- Cataloging: Create a unified event map, naming conventions, and key conversion logic.
- Turnkey Setup: Write technical specifications for dataLayer and mobile SDKs, oversee implementation with developers, and verify data collection after releases.
- Migration: Coordinate the transfer of analytical accounts and settings from OLX Global, preserving history and data continuity.
3. Data, Integrations, and Automation
- Data Warehouse: Develop a single source of marketing data in BigQuery (writing SQL, collecting data marts in collaboration with the Data team).
- Platform Linking: Configure the transfer of conversions and audiences between GA4, Adjust, ad platforms (Google, Meta, DV360, Yandex), and Amplitude.
- Quality Control: Analyze data discrepancies between systems, considering attribution models and conversion windows.
- BI and Reporting: Create dashboards (Looker Studio / Power BI / Tableau) and set up anomaly trackers for traffic and expenses.
- Automation: Configure APIs and webhooks, implement internal AI agents for data monitoring.
4. Privacy and ASO
- Privacy Tracking: Develop server-side tagging, configure Consent Mode v2, and work with iOS limitations (SKAN in Adjust).
- ASO Analytics: Analyze organic performance in the App Store and Google Play, provide technical specifications for text and visual optimization of app pages.
Requirements
What we expect from the candidate (Mandatory):
- Experience: 3+ years in digital, marketing, or product analytics. Experience managing tasks "from start to finish" (from hypothesis to business effect evaluation).
- SQL: Proficient level (CTE, window functions, joins, building complex funnels and cohorts). Practical experience with BigQuery.
- Web Analytics: Deep understanding of GA4 and GTM (event setup, tag auditing, debugging, dataLayer).
- Mobile Analytics: Experience with MMPs (preferably Adjust) and Firebase. Understanding of the specifics of installation tracking, deep links, postbacks, and iOS limitations.
- Business Reporting: Experience building clear dashboards in Looker Studio, Power BI, or Tableau.
- Statistics: Knowledge of A/B testing fundamentals (sample size calculation, significance evaluation, understanding the difference between correlation and causation).
- Soft Skills: Ability to write clear technical specifications for development and to confidently defend your conclusions to business and marketing teams.
Will be a big advantage:
- Experience migrating analytical infrastructure between companies or large accounts.
- Experience setting up Server-side GTM, Consent Mode v2, and conversion value mapping for SKAN.
- Skills in using Python / JavaScript for automation (scripts, APIs, webhooks).
- Experience setting up raw data streams (ETL/ELT processes) between Adjust and Amplitude.
- Analytics experience in marketplaces, classifieds (E-commerce / Classifieds), or products with a large mobile audience.
- Experience using LLMs and AI assistants for automating routine analytical reports.
Conditions
What we offer:
- Prospects for professional and career growth.
- Development within a team of experienced colleagues.
- Minimum bureaucracy and fast decision-making.
- Individual discussion of schedule and work format with each employee.
