Hiring for Data Analyst- Pune
We are looking for a detail-oriented, driven, and resourceful Data Analyst to join our dynamic team. As a Data Analyst, you will be instrumental in turning raw data into actionable insights, helping drive key business decisions and improve our data-driven strategies.
Key Responsibilities:
Data Collection & Cleaning: Gather, clean, and process data from multiple sources to ensure accuracy, consistency, and reliability.
Data Analysis & Reporting: Analyze data to uncover trends, patterns, and insights. Create and present clear, insightful reports and visualizations to stakeholders at all levels.
Data Modeling: Build predictive models and perform statistical analyses to support business forecasting and decision-making.
Dashboard Development: Develop and maintain interactive dashboards (e.g., using Power BI, Tableau, or other BI tools) for real-time reporting.
Collaboration: Work closely with business stakeholders, product managers, and other departments to understand data requirements and translate them into actionable reports.
Database Management: Query large datasets using SQL or other data management tools and maintain data integrity.
Continuous Improvement: Identify opportunities for process improvements in data collection, cleaning, and reporting methodologies.
Requirements:
Education: Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or related field.
Experience: Minimum of [X] years of experience in data analysis, preferably in [industry/sector].
Technical Skills:
Proficiency in SQL and experience with database management.
Strong knowledge of data visualization tools (e.g., Tableau, Power BI, Looker).
Advanced Excel skills, including pivot tables, macros, and complex functions.
Experience with statistical analysis and predictive modeling (e.g., Python, R, or similar).
Analytical Skills: Strong ability to interpret data, generate insights, and make data-driven recommendations.
Problem-Solving: Ability to analyze complex data and present solutions in a clear and effective manner.
Communication: Excellent written and verbal communication skills to explain complex findings to non-technical stakeholders.
Preferred Qualifications:
Familiarity with cloud data platforms (e.g., AWS, Google Cloud, Azure).
Experience with data warehousing or ETL processes.
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