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QA+ Data Analyst

ScaleupAllyEngineering & Development
Hiring from
India
Work type
Remote
Posted
Sep 24, 2026
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About Us

At ScaleupAlly, we believe that technology improves all aspects of lives. That is why we are geared towards becoming a tech ally of great ideas. The aim is to be the remote in-house tech team of these ideas. We work with Start-ups, Founders, and Leaders around the globe with ideas of Web and App Development, Business Intelligence and Data Visualization. We achieve our aim by building the long-lasting dynamic teams made of the top talent across the globe managed by experienced in-house Technical Leads. At ScaleupAlly, we build, manage and care our distributed teams like no one else. It’s a whole new approach to make you rethink what your idea is capable of.

Job Description

Purpose of Job


ScaleupAlly is looking for a QA & Data Analyst to join our team. This entry-level role is ideal for those with basic knowledge of software testing and data analysis who want to build their career in both areas.

The role involves supporting testing, defect reporting, data validation, and basic data analysis to ensure application quality and data accuracy.

Required Qualifications

● Bachelor's degree in any discipline / Information Systems, or a related field.

Skills

SQL | MS Excel | Power BI | Manual Testing | API Testing | Postman | Swagger | JIRA | Data Validation | Database Testing | Basic Python | Automation Basics

Duties

  • Perform functional, regression, and basic exploratory testing.

  • Create and execute test cases and scenarios.

  • Identify and report bugs using JIRA.

  • Perform API testing using Postman/Swagger.

  • Validate data using SQL and Excel.

  • Identify data errors, duplicates, and inconsistencies.

  • Assist with dashboard and report validation.

  • Prepare basic testing and data analysis reports.



Requirements


  • 0–12 months of experience in QA, Software Testing, Data Analysis, or a related area.

  • Freshers with relevant academic projects, internships, or practical exposure can apply.

  • Basic understanding of QA and Data Analytics concepts.

  • Good analytical, problem-solving, and communication skills.

  • Strong attention to detail and willingness to learn.

  • Ability to work across QA/testing and data analytics.



Benefits


● Working hours: 10:00 AM – 7:00 PM

● Working days: 5 days a week (plus 1st & 3rd Saturdays working)

● Quarterly parties and yearly outings/trips for team bonding

● Regular check-ins with leadership for growth and feedback

● Recognition awards to celebrate high performance

● Fun activities and team engagement sessions throughout the year



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