Wolters Kluwer Recruitment Drive; Hiring Data Analyst – Apply Now

Data Analyst Job Openings in Pune 2025!!!

Wolters Kluwer announced job vacancy for the post of Data Analyst. The place of posting will be at Pune (Hybrid). Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows

Name of the Company	Wolters Kluwer
Required Qualifications	Graduate
Skills	Data Collection, Data Cleaning, Python, SQL, etc..,
Category	Analysis
Work Type	Hybrid

As a Data Scientist, you’ll embark on an exciting career journey, mainly focusing on supporting the team with entry-level data tasks while gaining exposure to a variety of data science techniques. You will help collect, clean, and analyze data to provide preliminary insights that will contribute to predictive models and assist in optimizing business performance. This role is perfect for those eager to build a foundation in data science and are enthusiastic about leveraging data to drive innovation.

Θ Positions: Data Analyst

Θ Job Location: Pune (Hybrid)

Θ Salary: As Per Company Norms

Θ Job Type: Full Time

Θ Requisition ID: R0050364

Roles and Responsibilities:

• Collect and standardize data from various sources.
• Assist in cleaning and preprocessing data to ensure accuracy and consistency.
• Conduct preliminary data analysis to support more senior team members.
• Participate in training machine learning models with guidance.
• Help maintain databases and data repositories.
• Prepare simple visualizations and reports to present basic findings.
• Collaborate with colleagues to understand data requirements and goals.
• Stay updated with the latest data science trends and tools.
• Document processes followed during data collection and analysis.
• Support data integrity and validation initiatives.

Required Skills & Qualifications:

• Data Collection: Ability to gather data from multiple sources effectively.
• Data Cleaning: Basic techniques for preprocessing and cleaning datasets.
• Python: Familiarity with basic Python for data manipulation.
• SQL: Basic understanding of SQL for querying data.
• Excel: Proficient in using Excel for simple data analysis and visualization.
• Basic Statistics: Understanding of basic statistical concepts.
• Communication: Clear and simple reporting of findings.
• Team Collaboration: Ability to work well in a team environment.

 

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