Senior Data 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:

• Monitor key financial KPIs like revenue and transaction volumes.
• Consolidate data from invoicing databases, Salesforce, and Arrow.
• Segment metrics by customer attributes to identify trends.
• Provide insights for strategic planning and performance reviews.
• Collaborate with cross-functional teams for alignment.
• Analyze data to find growth opportunities and solve business challenges.
• Develop models to identify trends and test hypotheses.
• Refine business models and build data-backed business cases.
• Streamline and automate reports and dashboards.
• Promote a data-driven culture.
• Collaborate cross-functionally to achieve these goals.
• Mentor junior data scientists and share knowledge within the team.

Skills:

• Proficient in data visualization and business intelligence tools such as Tableau and Power BI for creating interactive dashboards and reports
• Strong programming skills in Python, with hands-on experience using libraries like NumPy, Pandas, and Matplotlib for data transformation and analysis
• Skilled in automating data workflows using Python, including Excel automation with openpyxl and task automation using custom scripts
• Familiarity with Excel macros and VBA for automating repetitive tasks and enhancing reporting efficiency
• Working knowledge of Advanced Excel functions (e.g., pivot tables, lookups, dynamic formulas) and SQL for data manipulation and reporting
• Comfortable working with large datasets and optimizing queries for performance, by using analytics / cloud tools
• Ability to understand business workflows and underlying challenges, and proactively propose more efficient alternatives to drive continuous improvement

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