Position: Associate Data Analyst (Technical)
Serving as a foundational technical catalyst within a specialized data intelligence vertical operating directly within the Google account ecosystem.
Designed specifically for early-career professionals and freshers eager to establish a robust, long-term trajectory in modern data analytics without requiring an advanced technical background at the onset.
Positioned at the intersection of operational data management, research, validation, and emerging artificial intelligence workflows.
Encompassing a dynamic scope of responsibilities that evolve organically from administrative data handling to advanced analytical, database-focused, and automation-driven engineering tasks.
Operating in close synergy with seasoned software developers, product managers, and multidisciplinary global teams to handle large-scale, complex datasets.
Company: QualityAI
Recognized globally as a premier, industry-leading AI-first quality engineering enterprise that transforms traditional testing into automated excellence.
Dedicated to designing quality directly into business and technology lifecycles rather than merely testing systems post-development.
Empowering Fortune 500 and global enterprise brands across financial services, healthcare, retail, media, and utilities to innovate rapidly and achieve absolute certainty at go-live.
Operating with an expansive global workforce of over 5,000 to 10,000 highly skilled professionals committed to dismantling complex data noise through nimble coordination and automated frameworks.
Fostering an inclusive, forward-thinking corporate culture emphasizing continuous professional growth, technical mastery, and strong representation with over 40 percent female participation and growing.
Location: Bengaluru, Karnataka, India
Headquartered strategically within a premier corporate hub at the Manyata Embassy Business Park along Outer Ring Road in Bengaluru, Karnataka
Job type: Full-time
Offered as a permanent, full-time employment contract ensuring long-term career stability, comprehensive corporate benefits, and structured professional advancement.
Job mode: Hybrid
Operating under a balanced hybrid work model that combines remote flexibility with structured on-site collaboration.
Job requisition id: Not specified
Not specified in the original JD
Years of experience: 0-2 years
Tailored specifically for fresh graduates, entry-level candidates, and junior professionals possessing 0-2 years of general professional experience.
Company description
Operating as the world's leading AI-first quality engineering company, dedicated to helping global enterprises transition successfully from ambition to execution.
Specializing in comprehensive quality management services that span the entire business and technology lifecycle, ensuring absolute reliability and performance certainty at Go-Live.
Utilizing proprietary AI-enabled accelerators, advanced automation frameworks, and deep industry expertise to reduce risk and accelerate software delivery speed.
Supporting a diverse, high-profile portfolio of enterprise clients across highly regulated and fast-moving sectors including financial services, healthcare, retail, media, and utilities.
Maintaining a massive global scale with a talent pool exceeding 8,000 engineering professionals distributed across strategic delivery centers worldwide.
Championing workplace diversity and inclusion, reflected in an active commitment to increasing female representation across all technical and leadership tiers.
Profile overview
Serving as an essential junior data analyst within a specialized data intelligence vertical dedicated exclusively to supporting high-priority Google accounts.
Contributing directly to a high-growth division currently receiving substantial capital investments in core technology infrastructure, advanced analytics, and artificial intelligence capabilities.
Embarking on a hands-on career journey starting with core data research, manual and automated data entry, rigorous data validation, Excel spreadsheet management, and technical documentation.
Experiencing a natural, well-defined career evolution as the business scales its data infrastructure, opening pathways toward advanced technical and database responsibilities.
Gaining direct, hands-on exposure to database querying languages like SQL and Python through guided training and practical application on large, varied enterprise datasets.
Harnessing artificial intelligence tools and automation scripts to streamline repetitive operational tasks, optimize workflows, and enhance overall process efficiency.
Collaborating side-by-side with experienced software engineers, developers, and product managers within a compact, agile, and highly collaborative team setting.
Qualifications
Possessing strong Microsoft Excel proficiency, demonstrating absolute confidence when navigating complex spreadsheets, large volumes of information, and data grids.
Exhibiting exceptional, meticulous attention to detail with a proven ability to spot subtle errors, data inconsistencies, missing values, and structural gaps.
Demonstrating a naturally analytical, inquisitive mindset equipped to investigate complex information streams and resolve ambiguous problems independently.
Exhibiting strong organizational capabilities, self-discipline, and the capacity to manage independent workloads effectively under strict delivery deadlines.
Possessing good written communication skills necessary for producing clear, concise technical notes, process logs, and comprehensive project documentation.
Maintaining operational familiarity with essential productivity software, including Microsoft Word and PowerPoint alongside advanced spreadsheet applications.
Demonstrating a genuine, intrinsic interest in modern data science, cutting-edge technology trends, and artificial intelligence applications.
Showing a strong eagerness to learn database querying languages such as SQL and Python, noting that prior coding experience is not strictly required.
Displaying a proactive operational approach focused on identifying repetitive manual tasks and brainstorming AI or automation-based efficiency enhancements.
Exhibiting an unyielding willingness to learn, adapt, and accept progressively complex analytical responsibilities as the business infrastructure evolves.
Additional info
Providing a permanent employment opportunity based out of the modern Bengaluru Manyata Embassy Business Park office facility.
Incorporating a flexible hybrid work schedule requiring approximately two days of on-site presence per week, supplemented by remote flexibility.
Requiring occasional additional office attendance for critical client meetings, strategic workshops, or quarterly business reviews.
Offering comprehensive exposure to tier-one global tech ecosystems, specifically supporting major internal workflows within leading Google account teams.
Delivering robust internal career growth opportunities supported by cutting-edge technical training and mentorship from industry veterans.
Please click here to apply.

