QA-Analyst -- DATAstream

Posted 8 Hours Ago
Be an Early Applicant
Hiring Remotely in India
Remote
Mid level
Information Technology • Biotech • Consulting • Pharmaceutical
The Role
Test and validate DATAstream data loads, BI dashboards, reports, and pipelines. Build and execute test plans, perform SQL-based data quality checks, regression testing, and support UAT. Collaborate with developers and stakeholders to find and resolve defects and ensure documentation and audit compliance.
Summary Generated by Built In

About Slipstream

At Slipstream, we work to streamline IT support and provide managed solutions with a strategic consulting and global leadership management approach. Our solutions are designed exclusively for emerging pharma and biotech organizations. Slipstream’s industry-leading services free clients from the demands of internal IT and allow them to focus on their core business objectives. We specialize in supporting Commercial Operations across platforms such as CRM, MDM, Marketing Automation, Data & Analytics, and more.

Job Description

We are seeking a Tester / QA Analyst to ensure the quality, accuracy, and reliability of DATAstream analytics, dashboards, and data pipelines. This role will focus on data validation, report testing, and ensuring solutions meet business and regulatory expectations.

Key Responsibilities

  • Validate DATAstream Loads, BI dashboards, reports, and datasets for accuracy and completeness.
  • Perform data quality checks using SQL and predefined business rules.
  • Develop and execute test plans, test cases, and test scripts.
  • Collaborate with developers and analysts to identify and resolve defects.
  • Perform regression testing for enhancements and releases.
  • Ensure compliance with documentation and audit requirements.
  • Support UAT activities with business stakeholders.

Technical Skills

  • Strong SQL skills for data validation and reconciliation.
  • Experience testing Power BI and Tableau dashboards.
  • Understanding of data warehousing and reporting workflows.
  • Familiarity with defect tracking tools (JIRA or similar).
  • Knowledge of pharma / life sciences data processes is a plus.

Qualifications

  • Bachelor’s degree in Computer Science, IT, or related field.
  • 3–6 years of experience in BI, data, or analytics testing roles.
  • Strong attention to detail and analytical mindset.
  • Experience working with distributed teams.

Slipstream is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation or identity, national origin, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Slipstream IT makes hiring decisions based solely on qualifications, merit, and business needs at the time.

This job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described, and may be amended at any time at the sole discretion of the Employer

Skills Required

  • Bachelor's degree in Computer Science, IT, or related field
  • 3-6 years of experience in BI, data, or analytics testing roles
  • Strong SQL skills for data validation and reconciliation
  • Experience testing Power BI and Tableau dashboards
  • Understanding of data warehousing and reporting workflows
  • Familiarity with defect tracking tools (JIRA or similar)
  • Strong attention to detail and analytical mindset
  • Experience working with distributed teams
  • Knowledge of pharma / life sciences data processes
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The Company
260 Employees
Year Founded: 2020

What We Do

Slipstream is a trusted technology partner exclusively serving the life sciences industry. The company provides pragmatic, scalable, and compliant technology solutions, including IT outsourcing, managed services, and consulting for pharmaceutical and biopharmaceutical companies. Their mission is to empower these organizations to accelerate research, optimize time to market, and improve patient outcomes through AI-enabled delivery and deep industry expertise.

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