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Senior Data Analyst - Operations, Contract

Posted 2024-11-09

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šŸ’Ž Seniority level: Senior, 5+ years

šŸ“ Location: Philippines, IST, NOT STATED

šŸ’ø Salary: 1260 - 1690 INR per hour

šŸ” Industry: B2B technology

šŸ—£ļø Languages: English

ā³ Experience: 5+ years

šŸŖ„ Skills: PythonSQLAgileData AnalysisETLMachine LearningTableauData analysisData engineering

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.
  • Proficient 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 with excellent communication abilities.
  • Knowledgeable in statistical analysis, predictive modeling, and machine learning techniques.
  • Experience working collaboratively across cross-functional teams.
  • Agile professional who excels in fast-paced environments.
Responsibilities:
  • Develop, maintain, and optimize data pipelines for integrating data from diverse digital marketing sources, ensuring reliable and timely data flow.
  • Work with APIs, data connectors, and ETL/ELT tools to automate data ingestion and transformation.
  • Design and manage analytics solutions for cross-channel data integration.
  • Clean, preprocess, and transform raw data to ensure data integrity.
  • Collaborate with marketing and product teams to enhance reporting accuracy and support data-driven decision-making.
  • Conduct exploratory data analysis to uncover trends and insights.
  • Leverage statistical methods and machine learning techniques for predictive modeling.
  • Analyze digital marketing campaign effectiveness and provide recommendations.
  • Implement and oversee A/B testing for campaign variations.
  • Design and build interactive dashboards and reports to deliver real-time insights.
  • Troubleshoot data and pipeline issues to maintain data quality.
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