Product Analyst eSIM Service

8.0/10
NDA
$1,600 โ€“ $2,000 USD76.0% below market
Remote
mid
about 3 hours ago
AI SummaryVerified by Aipplify AI

The vacancy is well-structured with clear responsibilities and compensation, but lacks some company details.

AI quality score7.9 / 10

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Overview

Looking for a Product Analyst to build AI-driven analytics for an international eSIM service operating in 140+ countries. Join us to automate routine checks and monitor data quality. We are an international eSIM service operating in over 140 countries. Our analytics are built using Firebase, GTM, GA, BigQuery, and Power BI. You will understand the entire chain from frontend events to dashboards, and we aim to automate routine checks and quality monitoring using AI.

Responsibilities

  • โ€ขSupport and develop the data collection scheme (Firebase, GTM, GA, BigQuery, Power BI).
  • โ€ขAutomate analytical routines through AI: anomaly monitoring, standard slices.
  • โ€ขVerify event accuracy and assist the team with requirements for new events.
  • โ€ขWrite SQL queries, prepare data for reports, identify discrepancies.
  • โ€ขBuild dashboards in Power BI, making them user-friendly for teams.
  • โ€ขAnalyze funnels, conversions, user behavior, and provide recommendations.

Conditions

  • โ€ขRemote work, full-time, GPH (self-employed/individual entrepreneur).
  • โ€ขSalary from 160,000 to 200,000 NET (with salary review based on results).

Requirements

  • โ€ข2-4 years of experience in product or marketing analytics.
  • โ€ขHands-on experience with Firebase, GTM, GA in real work, not just tutorials.
  • โ€ขProficient in BigQuery and SQL, able to write queries independently.
  • โ€ขExperience with Power BI, capable of building reports and understanding calculation logic.
  • โ€ขAI is your daily tool, and you enjoy automation.
  • โ€ขAbility to identify issues in the Firebase โ†’ GTM โ†’ GA โ†’ BigQuery โ†’ Power BI chain without developer assistance.
  • โ€ขRemote work is your format: freedom and responsibility, promptness in Slack.
  • โ€ขDeadlines are commitments, without reminders.
  • โ€ขAttention to detail (a typo in event name can ruin weekly analytics).
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