AiDash

Business Analyst Intern

Gurugram, HR, IN

RemoteInternshipNo Previous Experience, Early Career

9 days ago

About the Job

About AiDASH

AiDASH is making critical infrastructure industries climate-resilient and sustainable with satellites and AI. Using our full-stack SaaS solutions, customers in electric, gas, water utilities, transportation, and construction are transforming asset inspection and maintenance - and complying with biodiversity net gain mandates and carbon capture goals. AiDASH exists to safeguard critical infrastructure and secure the future of humanAIty™. Learn more at www.aidash.com    

We are a Series C climate tech startup backed by leading investors, including Shell Ventures, National Grid Partners, G2 Venture Partners, Duke Energy, Edison International, Lightrock, Marubeni, among others.  We have been recognized by Forbes two years in a row as one of “America’s Best Startup Employers.”  We are also proud to be one of the few climate software companies in Time Magazine’s “America’s Top GreenTech Companies 2024”. Deloitte Technology Fast 500™ recently ranked us at No. 12 among San Francisco Bay Area companies, and No. 59 overall in their selection of the top 500 for 2024.  
 
Join us in Securing Tomorrow!


How you'll make an impact:

  • Work closely with Customer Success Managers (CSMs), Product Managers (PMs), and clients to understand the business problems AiDash is solving, ensuring your analysis supports customer goals and outcomes.
  • Collaborate with teams across functions (Customer Success, GIS, R&D) to break down complex challenges into smaller, manageable parts for analysis.
  • Support the use of analytical methods and AI-powered tools to uncover insights that contribute directly to product improvements and user experience.
  • Assist in creating dashboards, reports, and presentations that translate data into clear and actionable recommendations for internal teams and customers.
  • Help identify opportunities to streamline analytical processes, improve delivery workflows, and support the standardization of insights across customers and product areas.

What we're looking for:

  • Currently pursuing or recently completed a Bachelor's degree in a technical or analytical field such as Engineering, Computer Science, Math, or similar from a Tier-1 institution (IIT/NIT/BITS or equivalent).
  • Strong interest in analytics, customer success, or consulting, with any prior internship or academic project experience in related areas being a plus.
  • Comfortable working with data and solving unstructured problems; ability to approach problems with a logical and analytical mindset.
  • Familiarity with tools such as Python, SQL, Excel, or similar for data analysis; exposure to GenAI tools is a bonus.
  • Strong communication skills with the ability to convey insights clearly to team members.
  • Interest or prior exposure to AI/ML-based platforms will be considered an added advantage.
  • Collaborative attitude and eagerness to learn in a fast-paced, real-world tech environment focused on delivering value to customers.

We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work. 

We are committed to providing an inclusive and accessible interview experience for all candidates. Please let us know if you require any accommodation during the interview process, and we will make every effort to meet your needs. 

About the Company

AiDash Logo

AiDash

San Jose, California, USA

251-500

<p>AiDash is making critical infrastructure industries climate-resilient and sustainable with satellites and AI. Using our full-stack SaaS solutions, customers in electric, gas, and water utilities, transportation, and construction are transforming asset inspection and maintenance - and complying with biodiversity net gain mandates and carbon capture goals. Our customers deliver ROI in their first year of deployment with reduced costs, improved reliability, and achieved sustainability goals.</p>

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