Senior Data Analytics Engineer

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).

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.