Spyne Internship 2024; Hiring Data Analyst Intern – Apply Now

They are looking for passionate Data Analyst Interns to join their Data team. If you have a knack for building relationships and find yourself at ease picking new initiatives, they’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. At Spyne, their mission is to revolutionize automotive retailing. Every year, 52 million cars are sold in the US, for a combined worth of $1700 billion, and, valuing the used-car market at $1000 billion. Thei new-age, Generative AI-powered solutions are designed to transform the car visuals into premium studio visuals. Dealerships & marketplaces across the US & Europe, are able to better engage their online visitors, driving greater customer showroom visits, and eventually sales.

Name of the Organization: Spyne

Requisition ID: 56183

Positions: Data Analyst Intern

Location: Gurgaon, India

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

Roles & 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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