Data Analyst

Description

We are seeking a highly skilled Data Analyst with expertise in Python, data cleaning, and linear regression to join our dynamic team within the Information Technology and Services industry. In this role, you will be responsible for transforming raw data into actionable insights that inform business decisions and strategies. The ideal candidate will possess a strong analytical mindset and a profound understanding of statistical methods, particularly linear regression techniques, to develop predictive models that drive efficiency and effectiveness within our organization. You will collaborate closely with cross-functional teams to ensure data integrity and create visual representations of complex datasets. Your work will not only contribute to our data management practices but will also enhance our overall capabilities in leveraging data for strategic initiatives. We pride ourselves on fostering an environment of continuous learning and innovation, and we are looking for a passionate individual who excels at finding meaningful patterns in data and communicating findings to stakeholders clearly and effectively. If you are committed to utilizing your skills in data analysis to facilitate informed decision-making processes, we encourage you to apply.

Responsibilities

• Extract, clean, and preprocess large datasets using Python to ensure data accuracy and consistency.
• Conduct exploratory data analysis (EDA) to uncover trends and metrics that drive business performance.
• Develop and implement linear regression models to predict trends and outcomes based on historical data.
• Collaborate with cross-functional teams to identify business questions and provide analytical support for data-driven decisions.
• Create comprehensive reports and visualizations to present findings to stakeholders in an understandable manner.
• Monitor and maintain data quality and integrity across various systems and datasets.
• Continuously refine and enhance data collection and analysis processes to improve efficiency and effectiveness.

Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
• Proven experience as a Data Analyst, preferably in the Information Technology and Services industry.
• Strong proficiency in Python for data manipulation and analysis, including libraries such as Pandas and NumPy.
• Demonstrated experience in data cleaning and preprocessing techniques to ensure data quality.
• In-depth knowledge of linear regression and other statistical modeling techniques.
• Ability to translate complex analytical findings into actionable business strategies.
• Excellent verbal and written communication skills, with the capability to present data insights to non-technical stakeholders.

Job Types: Full-time, Permanent, Fresher

Pay: Up to ₹15,000.00 per month

Work Location: In person