NielsenIQ is hiring for an FRESHER entry level Data Operations Analyst role in India

Position

• Data Operations Analyst

Company

• NielsenIQ (NIQ)

Location

• Vadodara, Gujarat, India

Job type

• Full-time

Job mode

• Onsite

Job requisition id

• Not mentioned in the original JD

Years of experience

• Entry Level (0 to 3 Years)

Company description

• NielsenIQ, globally recognized and respected under the overarching acronym NIQ, firmly establishes itself as the preeminent, world-leading consumer intelligence corporation, consistently bearing the immense responsibility of delivering the absolute most complete, nuanced, and actionable understanding of global consumer buying behaviors to enterprise clients.

• By meticulously capturing, aggregating, and analyzing complex retail data streams, NIQ continuously functions as the indispensable strategic compass for the world's most successful retail organizations, fast-moving consumer goods (FMCG) manufacturers, and global corporate enterprises seeking market dominance.

• The organization operates with a fundamental and unwavering mission to reveal dynamic new pathways to commercial growth, deliberately enabling clients to navigate the continuously evolving, highly competitive retail landscape with complete confidence, data-backed certainty, and precise predictive foresight.

• In the transformative year of 2023, NielsenIQ successfully executed an unprecedented, industry-defining strategic merger by combining operations with GfK, thereby seamlessly bringing together two legendary industry leaders and unifying an unparalleled breadth of global reach, technological capability, and intellectual capital.

• Operating with an extraordinary physical and digital presence across more than one hundred international markets, NIQ proudly represents and actively monitors the purchasing habits of over ninety percent of the entire global human population, ensuring unmatched statistical significance in every generated report.

• The enterprise functions as a highly prized, strategic portfolio entity operating under the robust financial backing and operational guidance of Advent International, leveraging state-of-the-art technological infrastructures and advanced analytics to deliver actionable market clarity to C-suite brand executives globally.

• On a daily basis, NIQ's complex architectural systems seamlessly process trillions of diverse datapoints, rigorously capturing omni-channel retail transaction streams, vast e-commerce movements, longitudinal consumer panel insights, and intricate supply chain dynamics to empower corporate decision-making at the highest levels.

• The company actively provides what is trademarked as the "Full View™," a revolutionary, holistic, and completely unobstructed perspective of retail and consumer insights that fundamentally eliminates market blind spots and allows brands to see exactly where their target demographics are migrating.

• NielsenIQ continuously redefines the boundaries of market intelligence through aggressive, ongoing strategic investments in proprietary technological infrastructures, sophisticated machine learning algorithms, and next-generation enterprise data management architecture tailored for the modern digital economy.

• By intelligently bridging classical statistical rigor with cutting-edge artificial intelligence protocols, NIQ effortlessly provides high-definition clarity into rapidly shifting market categories, technology product lifecycles, retail distribution channels, and nuanced consumer demographic shifts.

• The overarching organizational culture at NIQ heavily prioritizes absolute inclusion, relentless innovation, unwavering data integrity, continuous professional learning, and flawless operational excellence, offering every single employee a supportive space to collaboratively shape the future of global commerce analytics.

• Multinational clients explicitly rely on NIQ's rigorously validated datasets to optimize complex product pricing strategies, forecast multi-year category growth trends, critically refine massive retail distribution networks, and confidently navigate highly volatile macroeconomic paradigm shifts.

• NIQ's extensive global operations network serves as the foundational bedrock of the company, acting as the indispensable mechanism upon which all commercial insights, predictive analytical models, and multi-million-dollar client deliverables are ultimately constructed, vetted, and distributed.

• The company maintains an unyielding commitment to operational sustainability, technological evolution, and data democratization, ensuring that every piece of market intelligence delivered to clients is not only highly accurate but also rapidly accessible through intuitive, state-of-the-art digital delivery platforms.

Profile overview

• The Data Operations Analyst position serves as an absolutely foundational, mission-critical pillar within NIQ's expansive global Operations organization, effectively acting as a crucial steward of overarching data integrity, processing excellence, and systemic technological reliability.

• At the very core of NielsenIQ's operational philosophy lies the undeniable reality that every single executive dashboard, predictive trend report, and commercial insight delivered to world-renowned brands relies entirely on the precise, timely, and flawless execution of the data operations unit.

• Dedicated professionals stepping into this role carry the direct, uncompromising responsibility for comprehensively reviewing, intricately classifying, strictly standardizing, and rigorously verifying massive, high-velocity volumes of structured and unstructured retail data gathered from diverse market sources.

• Analysts meticulously conduct highly rigorous quantitative and qualitative data validation procedures on a daily basis to categorically ensure that all incoming data streams align strictly with NIQ's uncompromising global quality assurance protocols and established data governance standards.

• The operational domain at NIQ is currently undergoing one of the most significant, multi-year digital evolutions in its history, fundamentally centered around the aggressive adoption of smart automation, AI-driven workflows, advanced cognitive technologies, and modern digital platform architecture.

• Rather than attempting to replace human intellectual capital, these modern technological tools and automated data pipelines intentionally empower analysts by rapidly bypassing repetitive, low-value tasks, allowing teams to concentrate their collective energy entirely on complex problem solving and strategic value creation.

• Utilizing proprietary, state-of-the-art NIQ data management engines, analysts are entrusted with managing recurring, highly sensitive monthly, weekly, and daily production schedules to guarantee the on-time, error-free delivery of critical datasets to expectant global clients.

• The role inherently involves executing deep-dive, forensic investigative routines designed to rapidly identify systemic data anomalies, catalog mapping errors, vast inventory discrepancies, and complex cataloging exceptions that inevitably arise across highly diverse, rapidly changing product categories.

• Operations professionals proactively monitor ongoing, real-world retail market shifts, unexpected product reformulations, novel package introduction trends, and regional merchant consolidation activities to actively maintain strict data taxonomy accuracy over extended periods of time.

• Analysts operate seamlessly within a highly collaborative, vibrantly dynamic, and remarkably fast-paced global operational setup, working in constant, close coordination with international cross-functional teams spanning data engineering, client success, product management, and core technology.

• This specific position provides an absolutely ideal, highly strategic entry point for ambitious early-career professionals explicitly seeking to rapidly cultivate future-ready, highly marketable capabilities in enterprise data stewardship, advanced business analytics, automated operational workflows, and overarching digital fluency.

• The logistical requirements of the role specifically mandate night shift operations out of the Vadodara facility to seamlessly align with global data processing cycles, facilitate smooth international team handoffs, and strictly accommodate synchronized worldwide client reporting timelines.

• The day-to-day work experience strikes a delicate, highly effective balance between human cognitive expertise and AI-assisted audit modules, where analysts are required to apply deep logical reasoning and nuanced subject-matter knowledge to critically evaluate machine-generated data suggestions and predictive outputs.

• Active members of the data operations team are heavily encouraged to actively contribute to the organization's continuous improvement frameworks, deliberately pinpointing procedural bottlenecks and proactively proposing streamlined workflow adjustments to dramatically enhance overall system throughput and efficiency.

• Through consistent, daily engagement with immensely complex enterprise data structures, analysts rapidly gain invaluable firsthand exposure to understanding exactly how meticulous data hygiene directly impacts multi-million-dollar strategic decisions made by Fortune 500 consumer brands on a daily basis.

• The role actively cultivates a deep, highly sophisticated commercial awareness within the analyst, enabling professionals to thoroughly comprehend the entire, end-to-end lifecycle of consumer intelligence, translating raw, unfiltered store scanner logs into polished, executive-ready market reports.

• Team members are strategically trained to relentlessly explore the underlying root causes behind any data variance, working proactively with upstream technical processing units and downstream client delivery managers to permanently resolve structural issues rather than merely applying temporary, superficial fixes.

• The inclusive workspace actively encourages hands-on experimentation with emerging analytical utilities, deliberately motivating analysts to creatively refine legacy operational processes and independently build automated macros, custom analytical queries, or streamlined dashboard views.

• Every employee receives continuous, unparalleled exposure to strictly enforced global industry standards, highly structured operational management frameworks, sophisticated enterprise data pipelines, and cutting-edge data management platform architectures that define the modern analytics industry.

• Ultimately, the Data Operations Analyst position purposefully builds a highly robust, remarkably versatile, and deeply technical skillset that intentionally opens multiple long-term career progression paths into specialized data analytics, process engineering, team leadership, and senior technology management roles across the globe.

Qualifications

• Candidates must possess a strong foundational educational background, specifically requiring a Bachelor's degree, Master's degree, or equivalent recognized academic qualification ideally concentrated in computer science, information technology, applied statistics, business analytics, mathematics, engineering, commerce, economics, or related quantitative disciplines.

• The role demands a strong, demonstrated working proficiency with the entire Microsoft Office suite of enterprise applications, maintaining an advanced, highly practical focus on Microsoft Excel for complex spreadsheet management, intricate formula creation, logical data filtering, and foundational business reporting.

• Exceptional English language communication skills are absolutely mandatory for this position, requiring candidates to maintain at least a B1-B2 proficiency level or significantly higher in both written and verbal expression to ensure completely seamless, unambiguous interaction across highly diverse global project teams.

• Prospective analysts must showcase distinctly strong analytical thinking abilities, intrinsically paired with a highly meticulous, uncompromising attention to detail when tasked with reviewing, cleaning, and validating extraordinarily large, complex, and high-density tabular datasets under strict time constraints.

• A strong, authentic personal passion for working hands-on with raw data is essential, requiring individuals who genuinely enjoy identifying hidden numerical patterns, thoroughly investigating logical discrepancies, and strategically deriving structured, actionable logic from vastly complex, disorganized information sources.

• We actively seek individuals possessing a natural intellectual curiosity, a boundless enthusiasm for continuous professional learning, and a highly proactive, self-starting attitude toward mastering novel software platforms, emerging analytical utilities, and next-generation digital workflow tools.

• Candidates must demonstrate a highly pronounced, deeply ingrained growth mindset, distinctly characterized by remarkable professional adaptability, psychological resilience, intellectual open-mindedness, and an unyielding eagerness to enthusiastically embrace dynamic organizational restructuring and rapid technological changes.

• It is crucial to possess the proven capability to operate completely comfortably and highly effectively within strictly established, highly structured operational workflows while simultaneously maintaining the professional initiative to independently spot systemic inefficiencies and recommend highly practical, impactful process improvements.

• The position requires truly exceptional interpersonal, cross-cultural collaboration, and remote team-working capabilities, specifically allowing for highly effective, friction-free joint problem solving with both local on-site peers in Vadodara and international remote colleagues stationed across multiple global time zones.

• Analysts must demonstrate a firm, unshakeable commitment to maintaining the absolute highest standards of output quality and strict numerical accuracy while simultaneously executing complex processing tasks under extremely tight, unforgiving production deadlines within a highly demanding, fast-paced corporate environment.

• Absolute willingness, logistical flexibility, and physical adaptability to work dedicated, ongoing night shifts are strict prerequisites for this role, as this schedule is fundamentally necessary to seamlessly support synchronized global operational timelines and maintain continuous, uninterrupted worldwide delivery schedules.

• As a notable nice-to-have advantage, the hiring team highly prefers candidates who possess prior professional or academic exposure to fundamental enterprise data processing workflows, established data validation methodologies, basic database administration tasks, or standardized quality assurance routines.

• Preferred candidates will also bring highly valued familiarity or direct hands-on operational experience with modern corporate automation utilities, artificial intelligence user interfaces, machine learning assisted modules, or fully automated, low-code data processing software ecosystems.

• A basic foundational knowledge or introductory conceptual understanding of relational database architecture and querying languages, most notably SQL (Structured Query Language), for the purposes of actively querying, filtering, and joining complex datasets is considered highly advantageous.

• The ideal profile includes elementary knowledge, practical certification, or relevant coursework exposure to modern business intelligence visualization dashboards, specifically platforms like Microsoft Power BI or Tableau, utilized for transforming raw numbers into highly visual, easily digestible operational metrics.

• Highly competitive candidates may also possess beneficial familiarity with introductory, data-focused programming languages, such as Python or R, specifically leveraged for basic data manipulation, automated script execution, statistical modeling, or routine procedural automation tasks.

• Previous professional exposure or dedicated academic project experience specifically related to formal process documentation, intricate workflow mapping, root-cause analysis methodologies, or overarching operational procedure optimization will heavily distinguish a candidate's application.

• Analysts must possess exceptionally strong personal organization and time-management skills, deliberately allowing for highly effective, stress-free multitasking, the seamless prioritization of critical daily deliverables, and the rigorous tracking of unresolved, complex data exceptions over multiple days.

• The role demands a demonstrated, highly refined ability to strictly maintain deep mental focus, unwavering concentration, and flawless numerical accuracy during significantly extended, potentially repetitive periods of highly detailed data validation, manual catalog auditing, and visual quality checking tasks.

• Finally, candidates must possess a truly investigative, inherently skeptical mindset that naturally questions unexpected output numbers, instinctively seeks out underlying root causes of data variance, and systematically validates all underlying operational assumptions before confidently finalizing massive client data batches.

Please click here to apply.