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Tractor Junction - Lead Data Analyst - R/Python

Tractor Junction

Tractor Junction

Software Engineering, IT, Data Science
Noida, Uttar Pradesh, India
Posted on Aug 4, 2025
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.

(ref:hirist.tech)