Data Analyst (Adtech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Analyst (Adtech): Validating and improving data quality for an Automatic Content Recognition (ACR) platform identifying TV content across multiple countries with an accent on data quality monitoring and business insight extraction. Focus on investigating root causes of metric anomalies, designing analytical validation frameworks, and measuring the impact of algorithm changes.
Location: Remote or Hybrid in Georgia, Moldova, or Ukraine
Company
is providing talent for a global technology company that optimizes marketing decisions through a platform for cross-channel programmatic media campaigns.
What you will do
- Develop deep expertise in ACR datasets, tracking how data is generated, processed, and consumed by downstream products.
- Monitor data quality, investigate anomalies, and explain the root causes and business impact of metric changes.
- Analyze key operational metrics including audience numbers, match rates, and station coverage.
- Collaborate with Product Management on feature validation, experiment evaluation, and product requirements.
- Partner with Engineering to validate releases and measure the impact of algorithm adjustments.
- Design and automate analytical validation frameworks, reporting, and alerting systems.
Requirements
- 5+ years of experience in data analytics, product analytics, or data science.
- Advanced SQL skills and proficiency in Python for data exploration and automation.
- Strong statistical analysis skills and experience with A/B testing and experiment design.
- Experience with exploratory data analysis (EDA) and root cause investigation in large-scale datasets.
- Ability to present analytical findings to both technical and non-technical stakeholders.
- English: B2 level or higher required.
- Must be based in Georgia, Moldova, or Ukraine.
Nice to have
- Experience with Metaflow or similar workflow orchestration tools.
- Experience with Jupyter notebooks.
- Knowledge of ETL systems and distributed data processing.
- Domain experience in media measurement, TV, streaming, or advertising technology.
Culture & Benefits
- Technical and non-technical professional growth training.
- Internal conferences, meetups, and mentorship programs.
- Health insurance and English language courses.
- Flexible work options (remote/hybrid) and sports activities.
- Work anniversary program and additional vacation days.
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