Business Intelligence Analyst

Business Intelligence Analyst

Job Summary: 

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.
Who We Are: Wolters Kluwer: The world is a big place, find your place here. (https://youtu.be/OZ2kSzAaXK4?si=sDgZ7DZUbMnBddMq)
 

We are seeking a highly skilled and motivated Business Intelligence Analyst to join our team at Wolters Kluwer’s highly innovative Legal & Regulatory Division. The ideal candidate will have a strong background in data transformation, business intelligence, and data visualization. They will be responsible for analyzing complex data sets and providing actionable insight to support business decision-making across a range of functions including product, pricing, strategy, marketing and sales.

They will have exceptional capability in creating complex SQL queries and Python scripts that execute complex data transformations and deliver a range of outcomes (such as enhancing 360-customer views or integrating data from a variety of sources into a consistent level of aggregation or time sequence). To do this, they will need to build up a detailed and highly nuanced knowledge of the data over time.

The BI Team has a large code base (SQL queries and Python files) that it created which powers its data warehouse which in turn powers the team’s data visualizations, prescriptive analytics tools, statistical analysis and machine learning assets. You will need to be very comfortable reviewing, understanding, building off and contributing to this existing code base. You will be supported by colleagues in the BI team in this process, but you must have a high level of self-motivation, intelligence and curiosity to review the code to find an answer or reference needed with minimal supervision over time. 

You will be spending up to 25% of your time providing support to the team’s Data Engineer maintaining, expanding and optimizing the BI Team’s data warehouse and data pipeline architecture providing key back up when the Data Engineer is not available.

You will need to be comfortable and highly capable of interacting with stakeholders directly over time.

Key Responsibilities:

• Collect, analyze, and interpret large datasets to identify trends, patterns, and insights
• Provide actionable insights and recommendations to support strategic decision-making
• Create large scale data transformations utilizing SQL and Python
• Create, enhance and maintain business intelligence dashboards and reports in Tableau and Power BI as well as maintain our Tableau Server configuration
• Generate tools and prescriptive analytics assets that are utilized by stakeholders
• Execute Hypothesis testing and statistical analysis
• Articulate complex data insights into clearly digestible stories that can be rapidly understood by stakeholders
• Support and provide back up to the Data Engineer on the team maintaining, growing and optimizing the BI Team’s data warehouse (AWS, S3, EC2, Redshift, Talend)

Qualifications:

• Master’s degree in data science, statistics, math, economics, engineering, computer science or a related field
• 3+ years of professional data analysis experience
• Must have worked as a data analyst
• Advanced capability in SQL (additional experience with Python preferred)
• Advanced proficiency in data analysis and visualization tools such as Power BI or Tableau
• Familiarity (or strong interest) in data warehouse technologies such as AWS
• Strong analytical and problem-solving skills
• Highly collaborative and highly technical
• Must have excellent communication skills; a good storyteller.

• Team-oriented, strong communicator, self-motivated, success-driven, roll-up-your-sleeves attitude, experience or strong interest in using agile methodologies
• Ability to translate business questions into problems solvable using analytics tools, and enjoy converting the results of analyses into visual narratives tailored to the needs of the audience
• Strong written and verbal communication skills and have experience working on and communicating with fast-paced, dynamic teams
• Comfortable working under pressure to deadlines while keeping a cool head and still working collaboratively 
• Strong working proficiency of Microsoft Word, Excel, PowerPoint
• Must have authorization to work in the US

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.

Compensation:

Compensation range listed is based on primary location of the position.  Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process. 

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.