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DeHaat is hiring for a Data Analyst Intern role in India




Position:

  • Data Analyst & Product Support Intern

Company:

  • DeHaat

Location:

  • Gurugram, Haryana, India

Job type:

  • Internship

Job mode:

  • Onsite

Job requisition id:

  • Not specified

Years of experience:

  • Open for college students, freshers and people looking for career transition (but have required skills)


Company Description 

  • DeHaat is a leading AgriTech company in India, providing integrated solutions to farmers through its digital platforms and on-ground infrastructure

  • The company supports every stage of the agricultural lifecycle, from input procurement to selling produce

  • It uses AI-based tools to deliver customized crop advisory, high-quality input access, and market linkage for outputs

  • With a growing network and multiple acquisitions like AgriCentral, DeHaat is continuously expanding its reach and capabilities

  • Headquartered in Patna and Delhi NCR, it currently operates across multiple Indian states and serves millions of farmers

  • Its rapid growth is backed by increased hiring in departments like Consulting, Marketing, Operations, and Education

  • DeHaat aims to transform Indian agriculture by empowering small and marginal farmers with technology, insights, and services


Profile Overview 

  • The internship role offers exposure to both data analysis and product operations

  • Interns will be part of the tech team, helping to streamline product data processes and ensure smooth decision-making workflows

  • Responsibilities include handling data extraction and cleaning, report generation, and supporting dashboards

  • The role also involves working closely with the BI team and product managers to troubleshoot data issues and assist in documentation tasks

  • Ideal for individuals who enjoy working with numbers and have strong attention to detail

  • Offers practical hands-on learning in product analytics and tech-enabled agricultural platforms

  • This internship is suitable for fresh graduates or students in their final year who wish to pursue careers in data science, product analytics, or tech operations


Qualifications 

  • B.Tech or B.Sc degree holders in Computer Science, Data Science, or any related field are preferred

  • Candidates with hands-on knowledge of data tools and technologies will be prioritized

  • Must be familiar with Python and SQL for data manipulation tasks

  • Should understand data pipelines and have the ability to work with tools like Redshift and BigQuery

  • Knowledge of dashboarding tools like Tableau and experience with App Script or Google Sheets is an advantage

  • Candidates must show logical reasoning and structured thinking in handling and organizing large datasets

  • Prior internship experience in product, data, or analytics domains will be helpful but is not mandatory

  • Ability to work collaboratively in a cross-functional environment with product managers, BI engineers, and developers is important


Additional Info 

  • Interns will gain exposure to both technical and business aspects of product development

  • Work closely with engineering and BI teams to identify and resolve data inconsistencies

  • Be part of a startup environment with a steep learning curve and fast-paced execution

  • Expected to be proactive in identifying problems and suggesting small product improvements based on data insights

  • Training or guidance may be provided initially, but candidates should show a willingness to self-learn

  • Basic understanding of product management and agile workflows is useful

  • Opportunity to get absorbed in a full-time role based on performance and company requirements

  • Exposure to real-time analytics, user engagement tracking, and business operations

  • Ideal for individuals aiming for a long-term career in tech-enabled product functions


Detailed Responsibilities

Data Handling and Organization

  • Extract data from internal systems as per requirements from product or BI teams

  • Conduct basic data cleaning and transformation to ensure usability

  • Maintain datasets in structured formats for easy access and querying

  • Help in documenting data workflows and queries for future reference

Reporting and Dashboards

  • Support in setting up dashboards and updating existing reports

  • Help build visualizations using tools like Tableau or Google Sheets

  • Track key product metrics such as usage patterns, feature performance, and issue logs

  • Assist teams with ad-hoc data pull requests or recurring reports

Cross-Team Collaboration

  • Collaborate with engineers to understand data schemas and resolve mismatches

  • Coordinate with BI analysts to address report issues or feature tracking bugs

  • Act as a bridge between the tech and product teams in resolving daily operational blockers

Product Documentation Support

  • Assist product managers in writing or maintaining product documentation

  • Help capture technical decisions, user flows, and feature behaviors

  • Organize release notes, test logs, and user feedback systematically

Skill Utilization and Learning

  • Use Python for basic data manipulation or scripting tasks

  • Execute SQL queries for extracting and joining data from large datasets

  • Exposure to big data tools like BigQuery and Redshift will enhance understanding

  • Learn scripting and automation with App Script or other scripting tools

  • Apply visualization best practices while designing dashboards

Soft Skills and Behavioral Traits

  • Strong analytical mindset and logical thinking

  • Excellent organizational and documentation habits

  • Willingness to take ownership of small projects

  • Open to feedback and continuous improvement

  • Good verbal and written communication skills

Ideal Candidate Profile

  • Final year students or recent graduates in CS, IT, Math, or related disciplines

  • Curious learners with an interest in solving real-world agricultural problems using data

  • Individuals comfortable with ambiguity and startup-like work culture

  • People looking for full-time conversion post-internship will find this opportunity aligned with long-term goals


Please click here to apply.



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