Position:
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Data Analyst & Product Support Intern
Company:
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DeHaat
Location:
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Gurugram, Haryana, India
Job type:
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Internship
Job mode:
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Onsite
Job requisition id:
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Not specified
Years of experience:
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Open for college students, freshers and people looking for career transition (but have required skills)
Company Description
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DeHaat is a leading AgriTech company in India, providing integrated solutions to farmers through its digital platforms and on-ground infrastructure
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The company supports every stage of the agricultural lifecycle, from input procurement to selling produce
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It uses AI-based tools to deliver customized crop advisory, high-quality input access, and market linkage for outputs
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With a growing network and multiple acquisitions like AgriCentral, DeHaat is continuously expanding its reach and capabilities
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Headquartered in Patna and Delhi NCR, it currently operates across multiple Indian states and serves millions of farmers
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Its rapid growth is backed by increased hiring in departments like Consulting, Marketing, Operations, and Education
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DeHaat aims to transform Indian agriculture by empowering small and marginal farmers with technology, insights, and services
Profile Overview
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The internship role offers exposure to both data analysis and product operations
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Interns will be part of the tech team, helping to streamline product data processes and ensure smooth decision-making workflows
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Responsibilities include handling data extraction and cleaning, report generation, and supporting dashboards
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The role also involves working closely with the BI team and product managers to troubleshoot data issues and assist in documentation tasks
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Ideal for individuals who enjoy working with numbers and have strong attention to detail
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Offers practical hands-on learning in product analytics and tech-enabled agricultural platforms
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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
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B.Tech or B.Sc degree holders in Computer Science, Data Science, or any related field are preferred
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Candidates with hands-on knowledge of data tools and technologies will be prioritized
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Must be familiar with Python and SQL for data manipulation tasks
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Should understand data pipelines and have the ability to work with tools like Redshift and BigQuery
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Knowledge of dashboarding tools like Tableau and experience with App Script or Google Sheets is an advantage
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Candidates must show logical reasoning and structured thinking in handling and organizing large datasets
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Prior internship experience in product, data, or analytics domains will be helpful but is not mandatory
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Ability to work collaboratively in a cross-functional environment with product managers, BI engineers, and developers is important
Additional Info
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Interns will gain exposure to both technical and business aspects of product development
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Work closely with engineering and BI teams to identify and resolve data inconsistencies
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Be part of a startup environment with a steep learning curve and fast-paced execution
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Expected to be proactive in identifying problems and suggesting small product improvements based on data insights
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Training or guidance may be provided initially, but candidates should show a willingness to self-learn
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Basic understanding of product management and agile workflows is useful
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Opportunity to get absorbed in a full-time role based on performance and company requirements
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Exposure to real-time analytics, user engagement tracking, and business operations
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Ideal for individuals aiming for a long-term career in tech-enabled product functions
Detailed Responsibilities
Data Handling and Organization
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Extract data from internal systems as per requirements from product or BI teams
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Conduct basic data cleaning and transformation to ensure usability
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Maintain datasets in structured formats for easy access and querying
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Help in documenting data workflows and queries for future reference
Reporting and Dashboards
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Support in setting up dashboards and updating existing reports
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Help build visualizations using tools like Tableau or Google Sheets
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Track key product metrics such as usage patterns, feature performance, and issue logs
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Assist teams with ad-hoc data pull requests or recurring reports
Cross-Team Collaboration
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Collaborate with engineers to understand data schemas and resolve mismatches
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Coordinate with BI analysts to address report issues or feature tracking bugs
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Act as a bridge between the tech and product teams in resolving daily operational blockers
Product Documentation Support
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Assist product managers in writing or maintaining product documentation
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Help capture technical decisions, user flows, and feature behaviors
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Organize release notes, test logs, and user feedback systematically
Skill Utilization and Learning
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Use Python for basic data manipulation or scripting tasks
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Execute SQL queries for extracting and joining data from large datasets
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Exposure to big data tools like BigQuery and Redshift will enhance understanding
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Learn scripting and automation with App Script or other scripting tools
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Apply visualization best practices while designing dashboards
Soft Skills and Behavioral Traits
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Strong analytical mindset and logical thinking
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Excellent organizational and documentation habits
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Willingness to take ownership of small projects
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Open to feedback and continuous improvement
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Good verbal and written communication skills
Ideal Candidate Profile
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Final year students or recent graduates in CS, IT, Math, or related disciplines
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Curious learners with an interest in solving real-world agricultural problems using data
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Individuals comfortable with ambiguity and startup-like work culture
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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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