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Senior Data Analyst - Operations, Contract

Posted 10 days agoViewed

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šŸ’Ž Seniority level: Senior, 5+ years

šŸ“ Location: India, IST, NOT STATED

šŸ’ø Salary: 1260.0 - 1690.0 INR per hour

šŸ” Industry: B2B Technology

šŸ—£ļø Languages: English

ā³ Experience: 5+ years

šŸŖ„ Skills: PythonSQLETLMachine LearningTableauData engineeringData visualizationData analyticsA/B testing

Requirements:
  • 5+ years of expertise using BigQuery and SQL for querying, transforming, and manipulating large datasets.
  • Hands-on experience using Python for data processing, automation, and analytics.
  • Proficiency with data visualization tools such as Tableau, Looker/Google Data Studio, or Power BI.
  • Skilled in leveraging DBT (Data Build Tool) for data transformations and collaborative analytics workflows.
  • Strong analytical and problem-solving skills to interpret complex data and provide actionable insights.
  • Excellent communication abilities for both technical and non-technical stakeholders.
  • Knowledgeable in statistical analysis, predictive modeling, and machine learning techniques.
  • Experience working collaboratively across cross-functional teams.
  • Agile professional who thrives in a fast-paced environment.
Responsibilities:
  • Develop, maintain, and optimize data pipelines for integrating data from diverse digital marketing sources.
  • Automate data ingestion and transformation using APIs, data connectors, and ETL/ELT tools.
  • Design and manage analytics solutions for cross-channel data integration.
  • Clean and preprocess raw data to ensure data integrity.
  • Collaborate with marketing and product teams on data models and frameworks.
  • Conduct exploratory data analysis to uncover trends and insights.
  • Create predictive models and analyze customer behavior.
  • Report on digital marketing campaign effectiveness and provide recommendations.
  • Implement A/B testing and analyze results for marketing strategies.
  • Design and build interactive dashboards for real-time insights.
  • Troubleshoot data and pipeline issues to maintain data quality.
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