Data Analyst Job in Pune at Tudip

Tudip Technologies is hiring for the role of Data Analyst!

Responsibilities of the Candidate:

• Data Collection and Management: Gather data from various sources, ensuring accuracy, completeness, and consistency. Clean and prepare data for analysis.
• Data Analysis: Analyze large datasets to identify trends, patterns, and correlations. Use statistical methods and tools to interpret data and generate insights.
• Reporting and Visualization: Create clear and concise reports, dashboards, and visualizations to present findings to stakeholders. Use tools like Excel, Tableau, Power BI, or similar to create visual representations of data.
• Business Insights: Work closely with different departments to understand their data needs and provide insights that drive business decisions. Translate complex data into understandable and actionable recommendations.
• Data Quality Assurance: Ensure the integrity of data by performing regular audits and validations. Identify and resolve data quality issues.
• Automation and Efficiency: Develop and implement automated processes for data extraction, transformation, and reporting to improve efficiency.
• Collaboration: Collaborate with cross-functional teams including IT, marketing, finance, and operations to understand data needs and deliver solutions.

Requirements:

• Proficiency in data analysis tools such as SQL, R, Python, or Excel.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Familiarity with database management and data warehousing concepts.
• Knowledge of statistical analysis techniques and tools.
• Communication Skills: Strong verbal and written communication skills. Ability to present complex data findings clearly and concisely to non-technical stakeholders.
• Problem-Solving: Strong analytical and problem-solving skills with the ability to think critically and identify innovative solutions.
• Attention to Detail: High attention to detail and accuracy in work.
• Time Management: Ability to manage multiple projects and meet deadlines in a fast-paced environment.
• Education: Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field. A Master’s degree or relevant certifications (e.g., Google Data Analytics, Microsoft Certified Data Analyst) is a plus.
• Experience: 2+ years of experience in data analysis or a related field. Experience in [industry] is preferred.