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Job Description

At Tractor Junction, were on a mission to transform the agricultural sector with data-driven insights and cutting-edge technology. Were seeking a Data Analyst to join our dynamic team and help shape the future of agriculture.

Key Responsibilities :


- Lead data analysis projects end-to-end, from requirement gathering to delivering actionable insights.

- Analyze large and complex datasets using tools such as Excel, SQL, Python, R, or similar.

- Design and develop interactive dashboards and visual reports using tools like Tableau, Power BI, or equivalent platforms.

- Perform statistical analysis and data interpretation to support strategic decision-making.

- Ensure data quality by applying best practices in data cleaning, transformation, and anomaly detection.

- Collaborate with cross-functional teams to understand business goals and translate them into data-driven strategies.

- Present complex data and analytical findings in a clear, concise, and business-friendly manner.

- Guide and mentor junior analysts; promote best practices in data analysis and reporting.

- Work efficiently both independently and within a collaborative team environment.

- Utilize and manage cloud-based data platforms such as AWS, Google Cloud, etc.

- Work with diverse data sources including CSV, MySQL, PostgreSQL, MongoDB, XML, and more.

Key Requirements :


- Proven experience as a Data Analyst, with a strong background in statistical methods and analytical modeling.

- Proficiency in data tools such as SQL, Python, R, Excel, etc.

- Expertise in data visualization platforms like Tableau, Power BI, etc.

- Strong problem-solving skills and a keen attention to detail.

- Experience working with cloud-based data platforms (e.g., AWS, GCP).

- Strong understanding of various data formats and sources including structured, semi-structured, and unstructured data.

- Demonstrated ability in data cleaning, anomaly detection, and ensuring high data accuracy.

- Proven leadership experience with the ability to manage and mentor teams.


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