Business Intelligence Engineer

Reporting into the BI team at Wolters Kluwers highly innovative Legal & Regulatory Division, the Business Intelligence Engineer will expand and optimize our data and data pipeline architecture for utilization downstream by BI analysts in Tableau dashboards and in predictive models, as well as executing a range of high impact data analytics work. You will be managing and building out the BI teams data warehouse the heart of our tech stack.

As the Business Intelligence Engineer, you will be creating ETLs, dashboards and databases that allow for efficient collection and evaluation of BI data. You will be working closely with other BI team members and stakeholders to gain an understanding of BI goals and objectives to ensure the systems, their capabilities support efforts that achieve those goals.

This is a tremendous opportunity for someone with a passion for data engineering and analytics who loves unlocking the power of data to deliver insight.

This role can be based 100% remote or hybrid out of our NYC office**

Key Responsibilities

• Specify, buildout, and support data warehousing and BI solutions

• Create ETLs; joining and cleaning data

• Create dashboards and KPIs to visualize business performance to management

• Design and maintain data models used for reporting and analytics

• Help the broader team identify new features and business opportunities through your analysis

• Build various data visualizations to tell the story of trends, patterns, and outliers

• Monitor and tune BI tools to ensure optimum level of performance

• Ensure data accuracy by validating data for new and existing tools

• Support upgrades, configuration and troubleshooting for business intelligence tools

• Responsible for program design, coding, testing, debugging and documentation

• Execute ad-hoc business deep dive analysis and present findings to stakeholders

• Modify existing reports, extracts and dashboards as necessary

• Collect, analyze, and share data to help stakeholders make strategic product decisions

• Identify process improvements and streamline operations

• Own the design and development of automated solutions for recurring reporting and in-depth analysis

Job Specification

• 1-2+ years of professional data engineering experience.

• Bachelor's or Graduate's Degree in computer science, engineering, or information systems

• Extensive SQL experience

• Hands experience on working with AWS and data lakes; ideally with experience working with RedShift, EC2, S3 and SageMaker

• Hands on Experience integrating data sources into a data lake

• Experience working with an ETL tool such as Talend

• Working knowledge of python

• Experience working with Tableau or similar data visualization tool

• Experience working with a wide range of data sources and connectors

• Experience executing and presenting analysis and creating visualization narratives

Other Knowledge, Skills, Abilities or Certifications

• Team-oriented, strong communicator, self-motivated, success-driven, roll-up-your-sleeves attitude, experience, or strong interest in working 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

• Detail-oriented and strong project management skills

EQUAL EMPLOYMENT OPPORTUNITY

Wolters Kluwer U. S. Corporation and all of its subsidiaries, divisions and customer/business units is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.