Senior Business Analyst

About the Role:
 

As a Senior Data Scientist, you will engage in comprehensive data analysis, contributing significantly to key projects and driving actionable insights. You will work with a variety of data sets and employ advanced statistical techniques to support predictive modeling and business optimization efforts. This role is ideal for individuals with a solid data science foundation who are eager to tackle more complex challenges and make a tangible impact on the business.

Responsibilities:

• Design and execute data experiments and A/B tests.
• Develop and refine machine learning models with general supervision.
• Conduct root cause analysis to uncover underlying data patterns.
• Create complex visualizations to illustrate key data insights.
• Collaborate closely with business units to identify data needs.
• Optimize data processing pipelines for efficiency.
• Participate in feature engineering for improved model performance.
• Provide significant support in model validation and tuning.
• Ensure data integrity across various data sources.
• Mentor junior data scientists and share knowledge within the team.

Skills:
 

• Advanced Data Analysis: Proficient in conducting complex data analyses.
• Machine Learning: Practical knowledge of machine learning algorithms and applications.
• Python and R: Proficiency in Python and familiarity with R for statistical computing.
• Data Visualization Tools: Skilled in using tools like Tableau, Power BI, or Matplotlib.
• SQL and NoSQL: Advanced querying skills for both SQL and NoSQL databases.
• Predictive Analytics: Applying predictive analytics for business insights.
• Communication: Effective communication of complex data findings to stakeholders.
• Collaboration: Strong team collaboration skills and ability to mentor junior staff.

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