Role Overview

This role sits within the Mobile (Apps) Product Team and will support Product Managers across the full analytics lifecycle — from exploratory analysis and feature planning to post-release performance evaluation and experimentation.

The successful candidate will take ownership of a large portion of ongoing analytical work, covering:

• Core OTA conversion funnel analysis
• Social features (Chat, Social Events, Profile Completion, etc.)
• Feature tracking specifications and QA
• Dashboarding and insight communication

You will work independently day-to-day, while receiving guidance, reviews, and onboarding support from the Principal Analyst.

Key Responsibilities

Product & Feature Analysis

• Work with Product Managers to refine and clarify analysis requests raised via Jira
• Assess feasibility, data availability, and tracking coverage before analysis begins
• Analyse historical user behaviour to support prioritization of new features
• Evaluate newly released features and recommend next actions based on data

Data Extraction & SQL Analysis

• Identify relevant data sources, tables, and event tracking schemas
• Write clear, well-structured SQL queries to extract and transform data
• Ensure outputs are accurate, free of duplicates, and correctly represent user behaviour
• Validate assumptions and perform sanity checks on all results

Experience with any major SQL dialect (Snowflake, BigQuery, PostgreSQL, SQL Server, etc.) is acceptable — what matters is applied analytical usage, not the platform itself.

Dashboarding & Visualization

• Build dashboards aligned with the analysis request and best visualization practices
• Choose appropriate chart types and maintain clean, readable layouts
• Ensure dashboards are reusable and easy for Product Managers to interpret

Insights & Communication

• Write concise insight reports (typically in Loop), combining narrative with charts
• Translate data findings into clear, actionable recommendations
• Present and discuss insights with Product Managers and stakeholders

Tracking & Experimentation Support

• Write tracking specifications for new features based on:
  • Product requirements
  • UI/UX designs (Figma)
• Define events, properties, and expected behaviours clearly and consistently
• QA tracking implementations in production across iOS and Android
• Support A/B testing:
  • Add new experiments to existing Frequentist and Bayesian pipelines
  • Interpret results and communicate outcomes
  • Improve existing frameworks where appropriate

Required Skills & Experience

Technical & Analytical Skills

• Minimum 2+ years of experience in Data Analysis / Product Analytics
• Strong SQL skills with real-world analytical application
• Experience building dashboards in Tableau (or similar BI tools)
• Solid understanding of:
  • Conversion funnel analysis
  • Customer cohort analysis
  • Root-cause analysis
  • KPI / business driver analysis
• Familiarity with A/B testing concepts (hands-on experience is a plus, not a must)

Business & Product Mindset

• Ability to understand product context, not just numbers
• Experience working with Product Managers or Product Teams
• Comfortable operating in B2C, high-volume data environments
• Background in marketplaces, e-commerce, mobile apps, or digital products is highly relevant

Tools & Ecosystem (Nice to Have)

• Experience with dbt or similar data modelling tools
• Exposure to mobile analytics and event-based data (e.g. Google Analytics, Firebase, Segment)
• Familiarity with Jira-based workflows

Soft Skills

• Fluent English (spoken and written)
• Strong communication and stakeholder-management skills
• Comfortable working independently and taking ownership
• Curious mindset and continuous learner in the analytics space
• Collaborative and able to integrate well within a small analytics team

Contract Details & Benefits

• Contract length: 12 months
• Probation period: 3 months
• Remuneration:
  • €3,000/month during probation
  • €3,500/month after successful probation
• Location: Republic of Moldova
• Work setup: Fully remote
• Working hours: Flexible start between 09:00 – 11:00

You will receive a structured induction and ongoing support from the Principal Analyst, while being trusted to manage your own workload and responsibilities.

How to Apply

Please send your CV and/or LinkedIn profile to: ? [vezi email]serghei_dragan@yahoo.com