Require a Data Analyst Intern in Mumbai

TestHiring; Mumbai; On-site; INR 400,000 - 650,000; Full time

Job summary

TestHiring is seeking an entry-level Data Analyst in Mumbai to collect and organize agricultural data from diverse sources, clean and validate data, and help build dashboards with Tableau, Power BI or Google Data Studio. You will perform basic statistical analyses to identify trends for crop planning and resource allocation.

You will collaborate with cross-functional teams, document insights, and participate in weekly meetings to shape data strategy and innovation in agriculture.

Qualifications

• Bachelor’s degree in Data Science, Statistics, Computer Science, Agricultural Science, or a related field (final year students or recent graduates welcome).
• Basic understanding of data analysis concepts, including descriptive statistics, data visualisation, and data modelling.
• Proficiency in Microsoft Excel, with exposure to SQL and Python (or R) being highly advantageous.
• Familiarity with data visualization tools such as Tableau, Power BI, or Google Data Studio is a plus.
• Strong analytical thinking, problem-solving skills, and attention to detail.
• Ability to work independently and as part of a team in a fast-paced environment.
• Interest in agriculture, sustainability, and the application of technology in farming.
• Willingness to learn and adapt to new tools, processes, and agricultural data ecosystem.

Responsibilities

• Assist in collecting and organizing agricultural data from diverse sources including field sensors, satellite imagery, weather stations, and farm management systems.
• Perform data cleaning, validation, and preprocessing to ensure accuracy and consistency for analysis.
• Support the creation of dashboards and visualizations using tools such as Tableau, Power BI, or Google Data Studio to communicate key agricultural trends.
• Conduct basic statistical analysis and trend identification to support decision-making for crop planning and resource allocation.
• Collaborate with cross-functional teams to understand business needs and translate them into data requirements.
• Document processes, findings, and insights to support knowledge sharing and future reference.
• Participate in weekly team meetings and contribute to brainstorming sessions on data strategy and innovation in agriculture.

Skills

Data analysis

Descriptive statistics

Analytical thinking

Problem solving

Attention to detail

Team collaboration

Independence

Agriculture interest

Education

Bachelor’s degree in Data Science, Statistics, Computer Science, Agricultural Science, or related field

Tools

Tableau

Power BI

Google Data Studio

SQL

Python

Job description

Responsibilities

• Assist in collecting and organizing agricultural data from diverse sources including field sensors, satellite imagery, weather stations, and farm management systems.
• Perform data cleaning, validation, and preprocessing to ensure accuracy and consistency for analysis.
• Support the creation of dashboards and visualizations using tools such as Tableau, Power BI, or Google Data Studio to communicate key agricultural trends.
• Conduct basic statistical analysis and trend identification to support decision-making for crop planning and resource allocation.
• Collaborate with cross-functional teams to understand business needs and translate them into data requirements.
• Document processes, findings, and insights to support knowledge sharing and future reference.
• Participate in weekly team meetings and contribute to brainstorming sessions on data strategy and innovation in agriculture.

Requirements

• Bachelor’s degree in Data Science, Statistics, Computer Science, Agricultural Science, or a related field (final year students or recent graduates welcome).
• Basic understanding of data analysis concepts, including descriptive statistics, data visualisation, and data modelling.
• Proficiency in Microsoft Excel, with exposure to SQL and Python (or R) being highly advantageous.
• Familiarity with data visualization tools such as Tableau, Power BI, or Google Data Studio is a plus.
• Strong analytical thinking, problem-solving skills, and attention to detail.
• Ability to work independently and as part of a team in a fast-paced environment.
• Interest in agriculture, sustainability, and the application of technology in farming.
• Willingness to learn and adapt to new tools, processes, and agricultural data ecosystem.