Wolters Kluwer - Senior Data Engineer

Description :

In this role, you will develop analytics solutions for the Wolters Kluwer Health Finance Business Intelligence teams customers using SQL, advanced programming languages, Power BI dataflows and cloud-based data warehouses (such as Azure Synapse, Fabric OneLake) on the Power BI/Fabric platform.

You will be working within the Wolters Kluwer FSS organization to support the Financial Leadership in identifying financial strategic needs and directions for FSS.

Key Responsibilities :

Health Finance Reporting and Data Analysis :

- Review sales, orders and opportunities data to identify trends and patterns, such as anticipated revenue/contract volumes by customer segments and product lines.

- Enable self-service capabilities in Health Finance teams by developing curated datasets in Power BI and/or cloud-based data warehouses.

- Identify trends and transform raw data to generate business insights for the Health Finance BI teams customers.

Report Development and Enhancement :

- Simplify, standardize, and automate existing reports and dashboards built in Excel and other applications to Microsoft Fabric components such as OneLake, Pipelines and Power BI.

- Develop data models, architecture and pipelines to develop new reporting for various Health segment Finance teams using Microsoft Fabric components, such as Data Factory, OneLake and Power BI.

- Enhance visualization and drill-down capabilities to provide better insights for Root Cause Analysis.

Business Opportunity Identification and Optimization :

- Understand key business drivers and build knowledge of Wolters Kluwer Health, its Finance division, and the Business Intelligence teams customers.

- Assist in identifying business unit opportunities and challenges by continually reviewing and analysing financial and operational data.

- Model trends, identify relationships, and spot opportunities.

- Test hypotheses and alternatives to find optimal solutions.

- Collaborate with other leaders to identify new business models and workflows.

- Assist in building business cases for necessary investments and strategic plans to achieve planned results.

Stakeholder Management :

- Collaborate with Finance BI team members and business users to identify use cases for reporting, prioritize and execute development activities, and communicate with stakeholders.

- Foster positive and professional relationships with stakeholders for effective collaboration and communication.

Key Skills And Experience Required :

- Experience with transforming large datasets in a cloud-based data warehouse (Snowflake, Amazon Redshift, Azure Synapse, Google Big Query) and generating insights in a visualization platform (Excel, Power BI, Tableau, Qlik).

- Required : Bachelors degree in data science/analytics, finance, accounting, or economics or Engineering in Computer Science, or related quantitative field.

- Required experience : At least 5 years in Data Analysis using SQL, advanced programming languages such as Python/Py-Spark.

- Required : Experience in visualization tools (like Tableau, Power BI).

- Knowledge of connecting to various types of data sources through dashboarding tools and Python.

- Sound knowledge of statistical modelling.

- Strong analytical skills; capable of multi-tasking in fast-paced, dynamic environment.

- Ability to mentor team members / colleagues especially in technical aspects such as debugging and best practices in writing code.

- Ability to communicate effectively to multiple constituencies in multiple platforms including email.

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