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Data Analyst​/Agile Delivery & Web Analytics | Remote

Remote / Online - Candidates ideally in
Fort Collins, Larimer County, Colorado, 80521, USA
Listing for: HighSpring India LLP
Remote/Work from Home position
Listed on 2026-06-14
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Engineering, Data Science Manager
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Hiring For Data Analyst/Agile Delivery & Web Analytics | Remote

Please find below the JD:

- Position Title:

Data Analyst Agile Delivery & Web Analytics Duration: 7 months contract

Location:

Remote Shift: 2:30 pm to 11:30 pm ISTPosition Summary

This role is designed for a highly independent, disciplined Data Analyst who will accelerate the development and optimization of analytics solutions across our Agile delivery ecosystem. Operating in an async-first environment, you will bridge the gap between technical web analytics (Adobe Analytics stack) and enterprise data processing.

This pivotal assignment supports strategic leaders by delivering timely, high-quality data reporting, optimizing processes through Lean/Scrum methodologies, and ensuring robust data layer validation. The ideal candidate brings advanced technical expertise in SQL, tag management, dashboarding, and Agile tracking tools.

Key Responsibilities
  • Agile Analytics & Delivery Support:
    Empower leadership to drive Agile practices and principles. Utilize tools such as Atlassian Analytics, Jira, and Microsoft applications to develop and implement effective reporting models that support strategic, metrics-driven decision-making.
  • Web Analytics & Tag Management:
    Oversee Adobe Analytics report suites, calculated metrics, segments, and data warehouses. Manage Adobe Launch tag workflows, including rule creation, extension management, and JavaScript implementation.
  • Data Validation & QA:
    Perform rigorous tag validation and data layer debugging. Execute SQL queries for precise data pulls, validation checks, and reporting to ensure complete data integrity.
  • Process Optimization:
    Apply Scrum and Lean methodologies to optimize current reporting workflows, resolve pipeline bottlenecks, and provide clear documentation of system behavior.
Role Requirements Years of Experience & Education
  • 4+ yearsof primary experience focusing on Adobe Analytic sand tag management platforms.
  • 3+ yearsof secondary experience utilizing

    SQL, Tableau,and automated insights pipelines.
  • Education:

    Bachelor’s degree or higher in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Marketing Analytics, Information Systems). Equivalent hands-on professional experience with Adobe Analytics and SQL will be accepted in lieu of a degree.
Core Technical Skillset
  • Adobe Analytics Suite:
    Full suite configuration, reporting, and data warehouse management.
  • Adobe Launch (Tags):
    Data collection, rules setup, and publish workflows.
  • SQL & Database Platforms:
    Strong proficiency writing queries for data validation;
    Big Queryis the preferred dialect.
  • Programming:
    Intermediate Java Scriptskills  for tag management rules and data layer customization.
  • Agile Frameworks:
    Hands-on experience with Jira, Scrum/Lean methodologies, and data-driven reporting pipelines.
Core Soft Skills & Workplace Competencies
  • Async-First Mindset: A disciplined, independent worker who thrives with minimal hand-holding and prioritizes clear, written asynchronous documentation.
  • Analytical Problem-Solving:
    Sharp critical thinking skills with the ability to diagnose complex tracking or data pipeline issues under tight deadlines.
Preferred (Nice-to-Have) Qualifications
  • Direct experience with Atlassian Analyticsdashboard optimization.
  • Familiarity with paid digital marketing channel data structures (Google Ads, Meta, SA360) and marketing pixels implementation.
  • Experience maintaining

    Tableaudashboards, calculated fields, and data source validation.
  • Operational familiarity with

    AI-assisted insights pipelines(Gemini or equivalent) for anomaly alerting, driver analysis, or QA automation thresholds.
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