Data Analyst Apprentice - Enhance Product Data Quality (26A282)

FreshieHire Author
Salary
Not Disclosed
Location
Mumbai

Highlights

Dynamic environment, hands-on learning, opportunity for professional growth.


Description

Job Summary

pWe are seeking a dynamic Data Analyst Apprentice who will be responsible for enriching and standardizing product data, ensuring high-quality outputs that meet client requirements. The ideal candidate should possess strong communication skills, with the ability to work collaboratively in a team environment.

Responsibilities

  • Data enrichment and gap filling
  • Standardization and normalization of online and offline product data
  • Data quality check and correction
  • Email communication for project status updates and client queries
  • Technical consulting to enhance customer product data quality

Required Skills

  • Data analysis
  • Communication skills
  • MS Office proficiency
  • Attention to detail
  • Team collaboration

Required Skills Explained

  • Strong communication skills, including listening and sharing information with stakeholders.
  • Aptitude for working collaboratively within teams to meet deadlines while maintaining high-quality standards.
  • Proactive approach and willingness to take on additional responsibilities beyond the assigned tasks.
  • Research ability to gather data from various sources such as internet, specific websites, and databases.
  • Data quality check and correction capabilities.
  • Basic data profiling and reporting skills.
  • Effective email communication for client requests and project updates.
  • Technical consulting on enhancing product data quality with a focus on technical specifications and descriptions.
  • Understanding of tools and technologies relevant to the role.
  • Familiarity with MS Office/Internet usage.

Who is this for

pThis role is ideal for someone who has a passion for data and an interest in enhancing product quality. You should be able to work independently as well as collaboratively, with strong attention to detail.

Why This Job is a Good Opportunity

ulliGrowth potential in a collaborative team environment focused on data quality improvement.liPossibility to develop both technical and soft skills through hands-on experience.liOpportunity to interact with clients, enhancing customer service skills.liVariety of tasks that keep the role interesting and engaging.

Interview Preparation Tips

  • Prepare examples from previous roles where you demonstrated strong communication and teamwork.
  • Highlight any projects or tasks that involved researching data from multiple sources.
  • Demonstrate your ability to take initiative in improving processes by sharing past experiences.
  • Showcase your understanding of data quality checks and how you have implemented them effectively.
  • PRACTICE answering common interview questions related to the job description.

Career Growth in This Role

pThis role serves as a stepping stone for career growth, particularly in roles that require strong data management skills and client interaction. With experience, one can move into more specialized positions such as Data Analyst or Client Relationship Manager. The skills developed here are highly transferable to other sectors requiring meticulous attention to detail and strong communication.

Explore More Opportunities

Skills

Frequently Asked Questions

What qualifications are needed for this role?

A bachelor’s degree, good understanding of tools and technology, and intermediate knowledge of MS Office/Internet.

Is prior experience in data analysis necessary?

No prior experience is required as training will be provided, but a strong desire to learn and grow is essential.

What kind of support can I expect during the role?

You’ll work closely with experienced team members who will provide guidance and support to help you succeed in your tasks.

About the Author

FreshieHire Author
Hi, this is KD. On my blogs, you will find the best jobs for freshers all at one place. We curate jobs for you from various sources and combine them all at one place. Hope you got some value. : )
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