Data Analyst, AdTech/Omnichannel
New
J
JobgetherAdTech, Healthcare
India, Ability to work until approximately 3/4 PM ETFull-TimeMiddle
SalaryFixed compensation package inclusive of PF, gratuity, and a medical premium of INR 25,000.
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Job Details
- Experience
- Minimum 3 years
- Required Skills
- PythonSQLETLGoogle AnalyticsTableauAirflowMicrosoft ExcelLookerData analytics
Requirements
- Minimum 3 years of relevant experience in data analytics, data workflows, or related technical roles.
- Strong understanding of deterministic and probabilistic attribution methodologies.
- Experience analyzing multi-device campaign performance and user behavior.
- Advanced SQL skills, including writing and debugging complex queries from scratch.
- Strong knowledge of data workflows, joins, deduplication, quality assurance, and data validation processes.
- Experience working with Airflow workflows, ETL pipelines, or scheduling tools.
- Proficiency in Excel, including pivot tables, VLOOKUP, formulas, and advanced functions.
- Familiarity with web analytics platforms such as Google Analytics or Adobe Analytics.
- Experience with BI tools such as Tableau or Looker.
- Experience with Python for automation, workflow logic, or data processing.
- Ability to work until approximately 3/4 PM ET while working remotely from India.
Responsibilities
- Take ownership of critical data workflows supporting analytics products and omnichannel solutions.
- Support enterprise-level analytics operations and ensure accurate, scalable reporting.
- Build, improve, and maintain SQL-based data pipelines and workflow processes.
- Develop and optimize Airflow DAGs, ETL processes, and data automation workflows.
- Conduct research and contribute ideas toward roadmap planning and new product features.
- Perform data deep dives, troubleshoot issues, and support internal and external stakeholders with analysis.
- Translate complex datasets into clear insights, dashboards, and actionable recommendations.
- Investigate data questions and provide solutions that improve platform performance and client outcomes.
- Contribute to automation initiatives, workflow improvements, and data product enhancements.
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