Company description
Wolters Kluwer is a global leader in professional information, software solutions, and services for clinicians, nurses, accountants, lawyers, and financial, tax, audit, risk, compliance, and regulatory sectors.
Headquartered in the Netherlands, the organization serves customers in over 180 countries, maintaining operations across Europe, the Americas, Asia-Pacific, and international markets.
The company blends deep domain expertise with advanced technology and innovation to deliver vital insights, intelligent tools, and automated workflow solutions to professionals worldwide.
Recognized as a premier global technology firm, Wolters Kluwer empowers decision-makers with data-driven precision, high-quality analytics, and cloud-native digital platforms.
The organization fosters an inclusive, collaborative, and innovation-focused work culture where employees actively build high-impact software, scalable infrastructure, and modern AI platforms.
Operating with a strong commitment to digital transformation, Wolters Kluwer continuously integrates cutting-edge technologies like generative AI, cloud analytics, and advanced machine learning into its core offerings.
With a long-standing history of excellence and continuous evolution, the company remains dedicated to driving sustainable innovation and technical career advancement for global talent.
The Pune delivery center serves as a critical technology hub driving end-to-end data engineering, enterprise business intelligence, artificial intelligence development, and strategic digital operations.
Profile overview
The Business Intelligence Data Analyst role at Wolters Kluwer is designed for forward-thinking technology professionals eager to build advanced analytical solutions, intelligent dashboards, and generative AI features.
Operating in a modern hybrid framework that balances flexibility with collaborative in-office teamwork, this role empowers analysts to transform complex enterprise datasets into actionable strategic intelligence.
As an entry-level to early-career analyst, you will work directly with cross-functional global teams, including senior software engineers, data architects, product managers, and business stakeholders.
The primary mandate of this position centers on synthesizing raw multi-source business data into clean, structured, and visually engaging reporting systems using Power BI and Tableau.
Beyond traditional reporting, the role emphasizes modern data capabilities, integrating Python automation, advanced SQL querying, machine learning models, and cutting-edge generative AI technologies into enterprise workflows.
You will actively participate in end-to-end data development, encompassing requirements gathering, pipeline understanding, data modeling, exploratory analysis, dashboard creation, and continuous performance optimization.
This position offers an ideal environment for individuals seeking to bridge the gap between technical data engineering and executive decision-making within a high-growth global enterprise.
Day-to-day responsibilities involve designing automated metrics tracking systems, conducting rigorous statistical evaluations, and identifying key business trends to drive operational efficiencies across global units.
The role provides hands-on exposure to cloud data ecosystems, big data processing architectures, automated ETL workflows, and enterprise-grade generative AI analytics platforms.
Working within Wolters Kluwer's data-driven culture, you will be mentored by seasoned industry experts while taking ownership of impactful analytics projects from conception through deployment.
Candidates will routinely engage in complex data troubleshooting, database performance tuning, and the validation of analytical outputs to ensure high precision and reporting integrity.
The position requires strong problem-solving acumen, keen attention to detail, and the ability to articulate complex technical insights clearly to non-technical business partners.
By leveraging predictive modeling and machine learning algorithms, the analyst will contribute directly to forecasting models, customer behavior insights, and operational optimization initiatives.
Successful candidates will thrive in an agile environment that encourages continuous learning, technical experimentation, skill expansion, and proactive innovation.
Ultimately, this role serves as an exceptional launchpad for professionals aspiring to build long-term careers in data science, artificial intelligence engineering, and enterprise analytics leadership.
Qualifications
Possess a Bachelor's or Master's degree in Computer Science, Data Analytics, Information Technology, Statistics, Applied Mathematics, Economics, or a related quantitative engineering field.
Demonstrate foundational to intermediate proficiency in writing optimized SQL queries, including complex joins, subqueries, aggregation functions, window functions, and database schema navigation.
Show strong hands-on technical familiarity with Python programming for data manipulation, data cleaning, automated scripting, and statistical analysis using core libraries like Pandas and NumPy.
Exhibit demonstrated skills in designing, building, and maintaining interactive, user-friendly business dashboards and visual reports using enterprise BI platforms such as Power BI or Tableau.
Understand fundamental concepts of Machine Learning, predictive modeling, statistical testing, exploratory data analysis, and the architectural principles of modern Generative AI models.
Display foundational exposure to data engineering concepts, including ETL (Extract, Transform, Load) pipelines, data warehousing architecture, database structures, and data hygiene standards.
Bring 0 to 3 years of relevant hands-on professional experience, internship background, or project work focused on business intelligence, data analytics, or computational statistics.
Feature strong analytical and quantitative problem-solving capabilities, with a proven ability to process unstructured data and extract clear, evidence-based business insights.
Maintain solid verbal and written communication skills to effectively collaborate with international team members, articulate analytical findings, and translate business requirements into technical solutions.
Demonstrate familiarity with database management systems like PostgreSQL, MySQL, Microsoft SQL Server, or cloud-based data repositories like Snowflake and Google BigQuery.
Exhibit a clear understanding of key performance indicators (KPIs), business metrics tracking, data visualization best practices, and user-centric dashboard design principles.
Show a proactive learning mindset, adaptability to evolving technology stacks, and an eagerness to stay updated with emerging trends in generative AI and automated analytics.
Demonstrate the ability to work effectively both independently and as part of a distributed, cross-functional agile development team.
Possess strong organizational and time-management skills, enabling the simultaneous handling of multiple analytical tasks, documentation requirements, and project deadlines.
Show an understanding of data governance, security protocols, data privacy guidelines, and quality assurance methodologies within an enterprise software environment.
Additional info
The position operates under a structured Hybrid working model requiring 8 working days per month on-site at the Wolters Kluwer modern facility located in Pune, India.
The role offers a highly competitive annual remuneration package with an estimated Compensation to Company (CTC) ranging between ₹10 LPA and ₹16 LPA, commensurate with experience and skill set.
Employees enjoy comprehensive benefits packages, including comprehensive healthcare coverage, wellness allowances, paid parental leave, flexible work arrangements, and retirement planning options.
Wolters Kluwer provides extensive professional growth and development programs, including continuous technical training, professional certifications, generative AI workshops, and leadership mentoring.
The company culture strongly emphasizes diversity, equity, and inclusion, maintaining a supportive environment where diverse perspectives and innovative ideas are actively celebrated.
Candidates will gain direct experience working with state-of-the-art enterprise tools, modern cloud platforms, automated data architectures, and advanced AI frameworks.
The hiring process features moderate competition, providing a balanced opportunity for well-prepared freshers and early-career data professionals to demonstrate their capabilities.
Analysts receive direct mentorship from senior data leaders and software architects, accelerating career growth, technical mastery, and domain domain expertise.
The Pune technology center offers modern workstation amenities, collaborative spaces, high-speed infrastructure, and vibrant employee engagement activities.
Working at Wolters Kluwer opens long-term global career paths across data engineering, data science, AI research, technical product management, and enterprise analytics consulting.
The candidate will participate in global innovation challenges, hackathons, and technology showcase events to present novel analytics concepts and generative AI implementations.
Performance is evaluated through regular feedback loops, goal-setting frameworks, clear KPI metrics, and structured annual career advancement reviews.
The team environment is highly collaborative, fostering knowledge-sharing sessions, code reviews, and peer learning across international analytics divisions.
Applicants should be comfortable working in agile project environments using modern collaboration tools like Jira, Confluence, Git, Microsoft Teams, and cloud workspaces.
Joining Wolters Kluwer means becoming part of an established global technology entity that impacts millions of critical healthcare, legal, tax, and financial decisions worldwide every day.
Please click here to apply.
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