The Spyne team, located in Gurugram, India, aims to be the leading software provider in the used-car market, addressing all aspects of the dealer journey, from acquiring and appraising cars to listing, marketing, selling, and managing customer relationships. Supported by top investors like Accel Partners and Storm Ventures, as well as experienced founders, we believe in revolutionizing Digital Production for greater efficiency and intelligence. Spyne are among the very few companies in Gen AI space in India, which has truly commercialized the AI, generating hard cash and revenues. Spyne have been consistently featured among the top Gen AI startups coming out of India, and building for the globe.
Name of the
Organization: Spyne
Requisition
ID: SPYNE/24-25/047
Positions: Data
Analyst Intern
Location: Gurugram
Salary: As per
company Norms
Required
Skills & Qualifications:
- A university graduate with a degree in business/marketing or related field (BBA, MBA, B.Com, etc.)
- A data-driven mindset and aptitude for analytics
- Basic know-how of MS Excel and Google Sheets
- Strong academic performance and a passion for data analysis.
- Basic understanding of data analysis tools, programming languages (e.g., Python, R, SQL), and data visualization concepts.
- Excellent attention to detail and problem-solving skills.
- Effective communication skills and eagerness to learn in a fast-paced environment.
- Sound understanding of B2B sales cycle and data research
Job Description:
Spyne
looking for passionate Data Analyst Interns to join our Data team. If you have
a knack for building relationships and find yourself at ease picking new
initiatives, we’re looking for you. As part of this team, you’ll be the tip of
the spear when it comes to generating new business opportunities and revenue
for the company using data.
Responsibilities:
- Work on data crunching and spend time on understanding the data from various angles
- Closely work in the Ecommerce function to generate reports, dashboards and other relevant trackers
- Spend time in R&D while closely going through different data sets and processing them to make the most use of it
- Maintaining daily tracker of information fetched and presenting it to the leads
- Acting as one stop solution for the Production team in providing relevant data
- Meeting daily targets assigned by the manager on data standpoint
- Using Google sheets and Excel to keep a track of data generated and streamlining the data research process
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