Senior Data Analyst

0 years

0 Lacs

Posted:19 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

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.

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