One Impression

One Impression is one of the World’s largest influencer marketing platforms helping over 300+ global brands ranging from enterprises such as Unilever, Nestle, Amazon to startups such as Meesho, Nykaa, CoinSwitch. We are active in over 12 countries including India, US, Australia, the Middle East, etc, and have a network of over 6.5 Mil + influencers across Instagram & YouTube. Our creator network is one of the largest ranging from top celebrities to nano creators in over 10+ languages.

Job Title:

Data Analyst

Last Date To Apply:

Not Specified

(Apply Link at the end)

ASAP, will end as soon as a certain number is reached

Experience Level:

Candidate should have 1-2 years of experience

Job Location:

Gurugram , India 

Salary:

Not Specified

Eligible Batches:

Not Specified

Requirements:

• Strong proficiency in SQL, with the ability to construct complex and optimized queries.
• Advanced proficiency in Excel
• Solid understanding of logical and analytical concepts in databases, schemas, and dimensional modeling.
• Basic understanding of scripting languages (R, Python, etc.).
• Experience with BI tools is a plus (Power BI, Tableau, etc.).
• Working knowledge of data warehousing infrastructure tools like Hive is a plus.

Qualifications:

• Bachelor’s degree in a relevant field (e.g., Computer Science, Statistics, Data Science).
• 1-2 years of experience in data analysis, preferably in a fast-paced, tech-driven environment.
• Strong problem-solving skills and attention to detail.
• Effective communication and collaboration skills.
• Ability to work independently and thrive in a dynamic, agile work environment.

Job Description:

• Strategic Analysis: Collaborate on strategic initiatives, providing data-driven insights and recommendations to drive business impact.
• Dashboard Creation: Build and maintain dashboards to track business performance and product adoption, ensuring timely access to critical data.
• Data Insights: Deliver insights and analysis using statistical tools, and data visualization for business use cases, enabling data-driven decision-making for product and business teams.
• Cross-Functional Collaboration: Partner closely with Product and Business managers to provide data support, aiding in decision-making processes.
• Data Automation: Automate data extraction processes by creating renormalized tables and data marts based on business and product requirements.