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Data and Analytics Specialist

Lifted, an Upwork Company™ · Remote, NCR, Philippines

Data Science / AI / Machine LearningRemoteExternal listingcontractabout 2 hours ago

About The Role

Key Responsibilities

  • Build and maintain data pipelines using APIs and Azure SQL to extract, clean, and refresh data for reporting.
  • Develop analytics reports and data visualizations to support Digital Communications initiatives.
  • Create, maintain, and enhance dashboards using Power BI, Adobe Analytics, and Google Analytics.
  • Implement and manage tracking for websites and campaigns across Adobe and Google Analytics.
  • Conduct regular data quality checks and troubleshoot tracking or pipeline issues.
  • Support basic machine learning use cases to help optimize campaign performance.
  • Provide day-to-day analytics support, including reporting, data extraction, and analysis.
  • Collaborate with stakeholders to understand business needs and translate them into data solutions.
  • Bachelor’s degree or equivalent experience.
  • At least 5 years of experience in digital analytics and web data.
  • Strong hands-on experience with Power BI, including data modeling, table relationships, DAX calculations, and data transformations.
  • Strong hands-on experience with Adobe Analytics and Adobe Launch, including tracking implementation, tagging, event validation, debugging, and reporting. Experience with Google Analytics and Google Tag Manager is also preferred.
  • Proficiency in Azure SQL, Python, and API-based data extraction.
  • Strong analytical and problem-solving skills with attention to detail.
  • Ability to clearly communicate technical concepts to non-technical stakeholders.
  • Solid understanding of business objectives and how analytics supports decision-making.
  • Proficiency in Microsoft Office applications.
  • Fluent in written and spoken English.

Preferred Skills

  • Experience with machine learning applications in marketing or analytics.
  • Familiarity with end-to-end customer journey analytics and multi-source data integration.
  • Experience working in fast-changing digital environments with evolving tools and platforms.

Working Hours

  • Available to work up to 40 hours per week.
  • Willing to work during European time zone hours, between 9AM - 5PM Central European Time (CET).

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