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Wolters Kluwer Tax & Accounting Service Excellence has an opening for a Data Scientist-Business Intelligence Engineer. As a Business Intelligence Engineer, you will be responsible for effective data analysis across several data sources and repositories. In this role, you will be relied upon as an advisor to various Tax & Accounting operational units as someone who can answer critical business questions related to their data. This role will work closely with business users and leadership to define reporting requirements, help to understand underlying trends and patterns within the data, and produce actionable insights to aid supported business units achieve their operational goals.

The ideal candidate has the will to deep dive into data, showing a natural curiosity and passion about data. They will possess the appropriate skills to extract and derive business insights from the data with the appropriate business and social skills to share discovered insights while helping to influence relevant business and operational decisions.

_***Hybrid onsite in either Wichita, KS; Coppell, TX or Kennesaw, GA office******_

Essential Duties and responsibilities

+ Possess a strong analytical aptitude and demonstrate the ability to analyze data from multiple and incomplete data sources in order to provide insights

+ Under the direction of Senior Data Scientists, perform statistical analysis and build statistical models in R and/or Python

+ Under the direction of Senior Data Engineers, write ETL code and build data visualization and reporting solutions

+ Collaborate with and support other members of the Insights & Instrumentation Team to deliver solutions aimed at meeting supported business units’ objectives

+ Partner with key stakeholders to define business requirements and appropriate delivery methods and visualization for their business needs

+ Provide ad hoc analysis to deliver needed data and insights

+ Recommend process improvements and suggest alternatives towards continuous improvements of existing processes and methods

+ Build and maintain relationships with business stakeholders throughout the company

_Job Qualifications_

+ Bachelor's Degree in Data Science, Statistics, Math related field of study, or equivalent professional experience

+ 1year of data analysis experience

+ Exp with Python or R

+ 1 year of experience with data visualization solutions with Power BI,

+ Demonstrable experience with writing simple to medium complexity SQL queries

_Preferred Qualifications:_

+ 1 year of experience with Glue

+ 1 year of experience related to statistical analysis such as R or Python

+ 1 year of experience with AWS Redshift or similar data warehouse technology

_Other Knowledge, Skills, Abilities or Certifications:_

+ Strong research and analytical skills

+ Ability to manage time and company resources effectively

+ Ability to effectively prioritize tasks with the ability to multitask

+ Advanced computer skills

+ Proficiency with Microsoft Office Suite (Excel, PowerPoint, Word, and Outlook)

_Benefits:_

_A comprehensive benefits package that begins your first day of employment. Additional Information: Wolters Kluwer offers great benefits and programs to help meet your needs and balance your work and personal life, including 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 -_** **_https://www.mywolterskluwerbenefits.com/index.html_

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

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.