Spyne Recruitment 2024 for its Intern – Data Analyst, Spyne Drive is organizing Off Campus Campus Drive for candidates in Any Batch. In order to apply, candidates should have degree in BBA/MBA/B.Com/M.Com. If you are interested, you are interested, Please apply as soon as possible.
Company Name: Spyne
Role: Intern – Data Analyst
Location: PAN India
Experience: Freshers
Qualification: BBA/MBA/B.Com/M.Com
Batch: Any Batch
Job Type: Full Time
Salary: Best in Industry
Spyne Recruitment 2024
Job Description:
We are 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.
Requirements:
- 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
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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