Senior Data Analyst – Marketing
N
N-iXOnline car marketplace
Workplace type: remote; Country code: PLFull-TimeSenior
Salary7000 - 8300 USD per month net b2b
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Job Details
- Languages
- Excellent verbal and written English skills.
- Experience
- 5+ years of experience in marketing analytics
- Required Skills
- SQLMicrosoft Power BIGoogle AnalyticsTableauAirflowBigQuerydbt
Requirements
- Have 5+ years of experience in marketing analytics.
- Bring a strong understanding of online and app marketing, campaign optimization, and budget allocation.
- Have experience with large-scale data integration, M&A, or complex organizational integrations, including data migration, KPI harmonization, and reporting consolidation.
- Be proficient in SQL and have hands-on experience building data pipelines and ELT workflows.
- Have experience with tools such as Airflow and dbt.
- Be familiar with cloud data platforms such as BigQuery, Redshift, or Snowflake.
- Have experience with BI and dashboarding tools such as Tableau, Amazon QuickSight, or Power BI, and data visualization best practices.
- Understand Google Analytics, mobile measurement platforms such as Adjust and AppsFlyer, and advertising platforms including Google, Meta, and Criteo.
- Have a track record of independently leading cross-functional analytics initiatives across multiple business units.
- Have excellent verbal and written English skills.
Responsibilities
- Assess data landscapes and integrate marketing data from acquired businesses for strategic integration and M&A initiatives.
- Align KPI definitions, attribution methodologies, and reporting across organizations.
- Partner with business, product, engineering, and analytics teams to define integration requirements and reconcile data discrepancies.
- Design and implement scalable data models and pipelines in the client's Data Lake.
- Build and maintain dashboards monitoring demand, user acquisition, and marketing efficiency.
- Evaluate performance across Google Analytics, Adjust, AppsFlyer, Google Ads, Meta, and Criteo, and turn findings into business recommendations.
- Prepare deep-dive analyses and executive reports for senior leadership.
- Lead cross-functional projects end to end, managing timelines, risks, and stakeholder communication.
- Use AI tools and automation to improve analytical workflows, insight generation, and reporting.
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