Data and Analytics Specialist

Posted Yesterday
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Hiring Remotely in Manila, Metro Manila, National Capital Region, PHL
In-Office or Remote
Senior level
Enterprise Web • HR Tech • Professional Services • Software
The Role
Build and maintain API and Azure SQL data pipelines, create Power BI and analytics dashboards, implement website and campaign tracking, perform data quality checks, troubleshoot reporting issues, and deliver actionable insights. The role supports digital communications and marketing initiatives through web, campaign, and platform analytics, while collaborating with stakeholders and supporting basic machine learning use cases for campaign optimization.
Summary Generated by Built In
Company Description

  • As a Data and Analytics Specialist, you will provide services to an Upwork Managed Services client supporting the Digital Communications and Marketing team. You will be responsible for building and maintaining data pipelines, developing dashboards, and delivering actionable insights from web, campaign, and platform data. This role is ideal for someone with strong expertise in digital analytics, data engineering, and visualization who can ensure reliable, end-to-end reporting across multiple tools and platforms.

Job Description

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.

Qualifications

  • 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).

Skills Required

  • Bachelor's degree or equivalent experience
  • At least 5 years of experience in digital analytics and web data
  • Hands-on Power BI experience, including data modeling, table relationships, DAX calculations, and data transformations
  • Hands-on Adobe Analytics and Adobe Launch experience, including tracking implementation, tagging, event validation, debugging, and reporting
  • Google Analytics and Google Tag Manager experience
  • Proficiency in Azure SQL, Python, and API-based data extraction
  • Strong analytical and problem-solving skills with attention to detail
  • Ability to communicate technical concepts clearly to non-technical stakeholders
  • Understanding of business objectives and analytics-supported decision-making
  • Proficiency in Microsoft Office applications
  • Fluent written and spoken English
  • 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
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The Company
283 Employees
Year Founded: 2025

What We Do

Lifted, an Upwork Company, is a B2B SaaS platform that helps enterprise organizations source, contract, manage, and pay contingent talent globally and compliantly. It supports multiple engagement models, including independent contractors, staff augmentation, and employer-of-record, while integrating with MSPs and VMSs to provide centralized visibility, spend control, and audit-ready compliance, delivering a white-labeled talent experience for hiring managers and contingent workforce programs.

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