Grexa AI is hiring for an FRESHER entry level Data Analyst Intern role in India

Position:

• Data Analyst Intern

Company:

• Grexa AI

Location:

• Navi Mumbai, India

Job type:

• Full Time

Job mode:

• Onsite

Job requisition id:

• Not specified

Years of experience:

• 0 to 3 years

Company Description

About the Organization

• Grexa AI is an emerging technology startup focused on transforming how small and medium businesses approach digital marketing through the power of artificial intelligence.

• The company is working toward creating a next generation marketing platform capable of operating with minimal human intervention while helping businesses generate measurable revenue outcomes.

• Unlike traditional marketing tools that require continuous manual effort, the organization aims to create intelligent systems that can automate decision making, campaign optimization, audience targeting, performance tracking, and marketing execution.

• The business has been established by a group of experienced entrepreneurs and technology leaders who have previously built and scaled successful ventures in the Indian technology ecosystem.

• The founding team consists of graduates from premier engineering institutions and professionals who have successfully led large scale technology businesses.

• Several members of the leadership team previously held senior leadership positions at a rapidly growing education technology company that expanded into a multi million dollar business with a substantial workforce before eventually becoming part of a larger organization.

• This background provides the company with strong expertise in product development, technology execution, customer growth, operational excellence, and business scaling.

• The organization operates in a highly dynamic environment where innovation, experimentation, and rapid execution are encouraged.

• Employees are given opportunities to contribute directly to meaningful projects that influence business outcomes and customer success.

• The company is supported by external investors who believe in its vision and long term growth potential.

• The team is focused on building products that address genuine business challenges rather than creating technology for the sake of innovation alone.

• Grexa AI is committed to developing intelligent solutions that help businesses improve marketing efficiency, maximize returns on investment, and make smarter decisions through data.

• Team members work closely across departments, creating a collaborative culture that encourages learning, ownership, and continuous improvement.

• The company values analytical thinking, creativity, problem solving, adaptability, and a strong desire to build impactful products.

• Individuals joining the organization gain exposure to startup operations, modern technology stacks, business strategy, artificial intelligence applications, and customer focused product development.

Profile Overview

About the Role

• The organization is looking for a motivated and detail focused Data Analyst Intern who can contribute to data driven decision making initiatives across various business functions.

• This position offers an opportunity to work with large volumes of information, analyze business performance, and support strategic decisions through actionable insights.

• The selected candidate will help convert raw information into meaningful reports, dashboards, and analytical outputs that can guide operational and business improvements.

• One of the primary responsibilities involves creating and maintaining dashboards that present important performance indicators in a clear and accessible format.

• The role requires identifying trends, patterns, anomalies, and opportunities by examining data from multiple sources.

• The candidate will work closely with different departments to understand reporting requirements and deliver practical solutions that support their objectives.

• Collaboration is expected with product teams, sales professionals, marketing stakeholders, and other business units to ensure that analytical efforts align with organizational priorities.

• The position also involves improving operational efficiency through workflow automation and process optimization.

• The successful candidate will participate in building systems that reduce manual work while increasing data accuracy and consistency.

• Another important responsibility includes supporting the design and maintenance of ETL processes that facilitate smooth movement of information across platforms.

• The role offers practical exposure to data infrastructure, reporting systems, analytics tools, and business intelligence methodologies.

• Candidates will have opportunities to work with modern reporting platforms, databases, spreadsheets, and automation technologies.

• The position is suitable for individuals who enjoy solving business problems through analytical thinking and evidence based decision making.

• Success in this role requires curiosity, attention to detail, structured problem solving abilities, and a willingness to learn new technologies.

• The internship provides valuable experience in working within a fast growing technology startup where contributions can have a visible impact on business performance.

Key Responsibilities

Dashboard Development and Reporting

• Design interactive dashboards that present important business metrics.

• Create reporting systems that help stakeholders monitor operational performance.

• Ensure dashboard accuracy, consistency, and usability.

• Update and maintain reports as business requirements evolve.

• Support departments by providing relevant reporting solutions.

Data Analysis and Insights

• Examine datasets to identify patterns, trends, and meaningful observations.

• Generate insights that support strategic and operational decision making.

• Analyze business performance indicators and recommend improvements.

• Investigate anomalies and provide explanations based on available information.

• Translate analytical findings into practical recommendations.

Cross Functional Collaboration

• Partner with product teams to understand analytical requirements.

• Work with sales teams to support performance measurement initiatives.

• Collaborate with marketing professionals to evaluate campaign effectiveness.

• Communicate analytical findings to both technical and non technical audiences.

• Participate in discussions related to business performance and growth opportunities.

Process Automation

• Identify repetitive activities that can be automated.

• Develop solutions that reduce manual effort and improve productivity.

• Streamline reporting workflows through automation tools.

• Improve data collection and processing efficiency.

• Contribute to operational excellence initiatives.

Data Engineering Support

• Assist in building and maintaining ETL pipelines.

• Support extraction of information from multiple sources.

• Participate in transformation and cleansing activities.

• Ensure data quality throughout processing workflows.

• Help improve accessibility and reliability of business information.

Qualifications

Educational Requirements

• Bachelor's degree in Computer Science, Data Science, Information Technology, Analytics, Engineering, Mathematics, Statistics, or a related discipline.

• Candidates pursuing advanced education in relevant fields may also be considered.

• Strong academic foundation in quantitative and analytical subjects is preferred.

Technical Knowledge

• Understanding of data analysis concepts and methodologies.

• Familiarity with reporting and visualization tools.

• Experience creating reports and dashboards using business intelligence platforms.

• Knowledge of database systems and querying techniques.

• Ability to work with structured and unstructured datasets.

• Understanding of data transformation and processing concepts.

Dashboarding and Visualization Skills

• Experience developing reports and visualizations using Metabase.

• Experience working with Redash for reporting and analytical purposes.

• Ability to create intuitive dashboards for business users.

• Understanding of data storytelling and visualization best practices.

Database and Querying Skills

• Strong proficiency in writing advanced MongoDB queries.

• Ability to retrieve, filter, manipulate, and analyze information stored within databases.

• Understanding of data structures and database management principles.

• Knowledge of efficient querying techniques.

Spreadsheet and Automation Skills

• Strong working knowledge of Microsoft Excel.

• Experience using spreadsheet functions for analysis and reporting.

• Familiarity with Google App Script for automation initiatives.

• Ability to streamline repetitive tasks using automation techniques.

Analytical and Problem Solving Abilities

• Strong analytical mindset with attention to detail.

• Ability to identify trends, correlations, and business opportunities.

• Understanding of data mining concepts and techniques.

• Capability to solve business challenges using data driven approaches.

• Strong critical thinking and reasoning skills.

Communication and Teamwork

• Excellent verbal and written communication abilities.

• Ability to explain technical concepts in simple language.

• Strong collaboration skills across departments.

• Capability to engage effectively with stakeholders from diverse backgrounds.

• Willingness to contribute within a team oriented environment.

Preferred Skills

Additional Technical Exposure

• Experience with Python programming for analytical applications.

• Familiarity with data processing libraries and frameworks.

• Understanding of scripting and automation concepts.

• Ability to manipulate and transform datasets using code.

Python Ecosystem Knowledge

• Familiarity with Pandas for data manipulation and analysis.

• Experience using NumPy for numerical computations.

• Exposure to Matplotlib for creating visual representations of data.

• Understanding of analytical workflows built using Python tools.

Startup Environment Readiness

• Comfort working in a fast paced environment.

• Ability to adapt to changing priorities.

• Interest in building scalable technology products.

• Willingness to take ownership of assigned responsibilities.

• Positive attitude toward continuous learning and improvement.

Additional Info

Why Consider This Opportunity

• The position provides direct exposure to a rapidly growing artificial intelligence startup.

• Candidates will work alongside experienced founders and industry professionals.

• The internship offers practical learning opportunities that extend beyond traditional classroom concepts.

• Team members gain exposure to business intelligence, analytics, automation, and data infrastructure projects.

• The role allows individuals to understand how data influences strategic business decisions.

• Employees have opportunities to contribute to projects that impact product development, customer experience, operational efficiency, and growth initiatives.

• The startup environment encourages initiative, creativity, experimentation, and ownership.

• Individuals can develop both technical and business skills while working on real world challenges.

• Exposure to cross functional teams helps build strong communication and stakeholder management capabilities.

• The position offers valuable experience for those interested in careers related to data analytics, business intelligence, data science, product analytics, growth analytics, and technology consulting.

• Successful candidates will gain experience working with modern reporting platforms, databases, automation tools, and analytical frameworks.

• The organization values individuals who are curious, proactive, solution oriented, and eager to create measurable impact.

• Team members have opportunities to learn from experienced professionals who have successfully built and scaled technology businesses.

• The role serves as a strong foundation for future career growth within the broader analytics and technology ecosystem.

• Individuals who enjoy working with data, solving business problems, and contributing to innovative technology products are likely to find this opportunity rewarding and professionally enriching.

Please click here to apply.