ABOUT US Wolters Kluwer is a global leader in professional information services that combines deep domain knowledge with specialized technology. Our portfolio offers software tools coupled with content and services that customers need to make decisions with confidence. Every day, our customers make critical decisions to help save lives, improve the way we do business, build better judicial and regulatory systems. We help them get it right. JOB QUALIFICATIONS Education : Bachelor’s degree in data science/analytics or Engineering in Computer Science, or related quantitative field. Master’s degree preferred. Experience : 5+ years of hands-on experience in data analysis, business intelligence, or a related analytics role. Proven track record of leading analytical initiatives, building and deploying AI/ML models, and delivering enterprise-grade dashboards to senior leadership. Demonstrated experience mentoring junior analysts and guiding cross-functional data projects. Technical Skills : Strong proficiency in Python for data manipulation (Pandas, NumPy), statistical analysis (SciPy, Stats models), visualization (Matplotlib, Seaborn, Plotly), and end-to-end automation of analytical workflows. Experience with PySpark for large-scale data processing is a plus. Expert-level skills in Power BI (DAX, Power Query, data modeling) and/or Tableau. Proven ability to architect enterprise-wide dashboard frameworks, establish design standards, ensure consistent KPI definitions, and drive adoption across stakeholder groups. Extensive hands-on experience building, validating, and deploying predictive, classification, and clustering models using frameworks such as Scikit-learn, XGBoost, TensorFlow, or PyTorch. Strong command of feature engineering, hyperparameter tuning, model evaluation, and production deployment strategies. Experience with GenAI tools and frameworks (e.g., LangChain, OpenAI APIs, Azure OpenAI) for automating report generation, NLP-based insight extraction from unstructured data, or chatbot-driven analytics support. Advanced SQL skills for querying complex datasets across multiple sources. Strong understanding of data modeling, schema design, performance tuning, and data quality principles. Familiarity with Microsoft Fabric and its integration within modern data ecosystems, Azure Data Factory, or similar cloud-based platforms. Knowledge of Git, CI/CD pipelines, and DevOps practices for reproducible and scalable analytical workflows. Background in finance domain is a plus. Soft Skills : Strong analytical skills; capable of multi-tasking in fast-paced, dynamic environment Strong written and verbal communication, including report writing and data storytelling Stay updated with industry trends and evolving tools; Demonstrate a proactive approach to learning new techniques and technologies Work effectively across cross-functional teams Strong stakeholder management and ability to translate business needs into technical solutions. Experience presenting technical concepts to non-technical audiences. Proven ability to lead cross-functional initiatives and drive consensus. ESSENTIAL DUTIES Dashboard Architecture & Visualization Leadership: Architect, build, and maintain enterprise-grade interactive dashboards in Power BI that provide real-time visibility into key business metrics across sales, marketing, and finance functions. Establish and enforce dashboard design standards, improve user experience, and ensure consistent KPI definitions across the organization. Automate recurring reporting workflows using Python scripts or Fabric Data flows integrated with BI tools to reduce manual effort, improve accuracy, and scale reporting capabilities. Design and implement scalable analytics platforms that serve as a single source of truth for organizational metrics. Data Analysis & Strategic Insights: Analyze large, complex datasets from multiple sources to identify trends, patterns, and opportunities that inform strategic decision-making. Collaborate with finance and accounting teams to automate reconciliations, variance analysis, and error detection using advanced analytics and machine learning. Lead deep-dive analyses on key sales, marketing, and financial metrics, translating findings into actionable recommendations for senior leadership. Review and guide analytical work produced by junior team members, ensuring quality, accuracy, and alignment with business objectives Innovation, Automation & Generative AI: Automate financial reporting and narrative generation. Extract insights from unstructured documents Build chatbots/assistants for finance teams Implement agentic AI/workflow automation OTHER DUTIES Support Data Infrastructure & Governance: Collaborate with data engineering teams to ensure data availability, quality, and accessibility for advanced analytics and modeling. Participate in data governance initiatives by validating data integrity, documenting data sources, and standardizing datasets for consistent use across projects. Enhance Reporting & Analytics Standards: Contribute to the development of analytics frameworks, dashboards, and reporting tools that translate complex models into actionable business insights. Work closely with BI teams to refine KPI definitions and improve visualization standards for clearer communication of analytical results. Promote a Data-Driven Culture: Advocate for a data-driven culture, promoting the value of analytics in strategic and operational decision-making. Lead or support analytical training sessions or workshops for non-technical stakeholders to improve data literacy across the organization. Cross-Functional Collaboration: Collaborate on cross-functional initiatives, applying AI-driven solutions, machine learning, and data analytics to support business objectives. TRAVEL REQUIREMENTS Minimal travel might be required. PHYSICAL DEMANDS Pune office on a hybrid schedule (Mondays and Tuesdays). Our Interview Practices To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. If making a difference matters to you, then you matter to us. Join us, at Wolters Kluwer, and be part of a dynamic global technology company that makes a difference every day. We’re innovators with impact. We provide expert software and information solutions that the world’s leading professionals rely on, in the moments that matter most. You’ll make a real difference in the lives of millions of people. Together with our customers, we help to advance sustainability, health, justice, prosperity, and commerce around the world. You can thrive at Wolters Kluwer, where diversity is core to our collective strength and high performance. Be your unique self, share your creative ideas, do your best work, and take time to grow in our caring and inclusive culture where you can belong. Wolters Kluwer reported 2025 annual revenues of €6.1 billion. The group serves customers in over 180 countries, maintains operations in over 40 countries, and employs more than 21,000 people worldwide. Our customers work in industries that impact the lives of millions of people every single day. Our mission is to empower our professional customers with the AI-powered solutions they need to make critical decisions, achieve successful outcomes, and increase productivity. We deliver trusted, AI-powered expert solutions that combine deep domain knowledge, proprietary content, and advanced technology to provide expert-validated insights, automate workflows, and drive better outcomes. Today, nearly 70% of our digital revenues come from AI-powered solutions, reflecting our strategic focus on embedding AI into professional workflows and delivering measurable productivity gains. We are committed to helping professionals navigate complexity, improve the way they work, and solve critical challenges through cloud-based, AI-powered platforms that integrate seamlessly into their workflows and ecosystems. Our solutions are designed to deliver impact when it matters most, especially in high-stakes environments where accuracy and trust are essential. With a nearly 190-year legacy, Wolters Kluwer continues to evolve its portfolio of digital solutions and services to meet the changing needs of professionals worldwide, enabling them to work faster, make smarter decisions, and deliver better outcomes. For more information about our solutions and organization, visit www.wolterskluwer.com, or follow us on LinkedIn, Instagram and Facebook. Wolters Kluwer has a dedicated team of experienced talent acquisition professionals who are ready to hear what makes you tick and share how Wolters Kluwer can help you achieve your goals and ambitions. Here Rasi Fawaz shares some tips on what recruiters are looking for on a resume. As a global organization, we recognize that solving a wide range of complex problems requires diverse perspectives and innovative thinking. We know that bringing our best to our customers, communities, and other key stakeholders requires a highly engaged and talented workforce – one that represents the diversity of those we serve and the communities where we live and work. We aim to provide a welcoming environment and equitable opportunities for all employees regardless of background, nationality, race, ethnicity, gender, gender identity, age, sexual orientation, marital status, disability, or religion. This principle is ingrained in our company values and articulated in our Code of Business Ethics. At Wolters Kluwer, you’ll feel valued for your contributions, and you’ll know that your health, safety, and well-being are important to us. Our well-being benefits provide tools, programs, and resources to help our diverse employees feel healthy, happy, safe, and prosperous. Our global Together we thrive well-being program reflects our commitment to supporting colleagues across physical, mental, social, and financial well-being. That commitment has been recognized externally through Ragan’s Top Places to Work for Employee Wellbeing: Large Organization in 2024. More recently, Wolters Kluwer was recognized by Forbes as one of America’s Best Large Employers 2026 and America’s Best Employers for Engineers 2026. In 2025, Wolters Kluwer was also recognized by Forbes as one of America’s Best Employers for Women. To ensure we continue to drive innovation that enables us to develop products and services to best serve our customers, we cultivate a workplace culture rooted in mutual respect, bringing forward insights from a wide range of backgrounds, perspectives, and experiences. We are also committed to complying with laws requiring equal opportunity in hiring, promotion, and other employment decisions. All qualified applicants will receive consideration without regard to race, color, religion, sex (including pregnancy, gender identity, transgender status, and sexual orientation), national origin, disability, age, genetic information, veteran status, or any other characteristic protected by applicable law, and we do not tolerate discrimination on any of these bases. GDPR Wolters Kluwer (“we” or “us”) wants to inform you about the ways we process your personal information. In this Privacy & Cookie Notice we explain what personal information we collect, use and disclose. You'll find details related to GDPR and other data privacy policies on our Careers Privacy and Cookies page.

Senior Data Analytics Engineer (5+ years only with Python, Power BI, SQL).

more at wolterskluwer.com.

DevOps Engineer (AWS, Terraform, Devops Engineering, Docker, Kubernets)

IAM Developer

Integrated Operational Risk & Operations Subject Matter Expert (SME) | Enablon

similar roles.

Senior Product Manager, AI Sales Platform

Scientist II, Immunology

Senior Software Engineer, Full Stack Web Development – GCP & Vertex AI Focus

Staff ML Engineer - Embodied AI Scaling Foundations

Data and AI Engineer - July 2027

Manager, Engineering (AI/ML/DE)