Wolters Kluwer is seeking a Data Scientist - Business Intelligence Engineer to analyze data and provide insights for Tax & Accounting operational units. This hybrid onsite role requires strong analytical skills and experience with Python, R, and Power BI.
Overview 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. Hybrid onsite location 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 • 1 year of data analysis experience • Experience 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 AWS 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. 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 through the company benefits site. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. #J-18808-Ljbffr
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Wolters Kluwer is seeking a Data Scientist - Business Intelligence Engineer to analyze data and provide insights for Tax & Accounting operational units. This hybrid onsite role requires strong analytical skills and experience with Python, R, and Power BI.
Wolters Kluwer is seeking a Data Scientist - Business Intelligence Engineer to analyze data and provide insights for Tax & Accounting operational units. This hybrid onsite role requires strong analytical skills and experience with Python, R, and Power BI.