Data Associate Job at Amazon 20+Vacancies।Apply Right Now

Job Title : Data Associate

Salary : Rs 1.8 Lakhs to 6.0 Lakhs

Company : Amazon

Location : Gurugram

Qualifications : Any Graduate

Experience : 0 – 2 Years

Table of Contents

ABOUT AMAZON

Amazon, based by way of Jeff Bezos in 1994, has grown from an online book shop to one of the global’s largest e-trade and cloud computing organizations. Headquartered in Seattle, Washington, Amazon to start with revolutionized retail with its patron-centric approach and fast shipping services.Over the years, it multiplied into numerous sectors, together with streaming media, artificial intelligence, and customer electronics (inclusive of Kindle and Echo gadgets).

Amazon Web Services (AWS), its cloud computing department, has emerge as a frontrunner in the enterprise, offering scalable and charge-powerful solutions to groups global. Despite controversies over its marketplace dominance and remedy of people, Amazon keeps to innovate and dominate the e-commerce landscape globally. With a persevering with focus on purchaser satisfaction and operational efficiency, Amazon stays a pivotal force in shaping the destiny of retail, generation, and virtual offerings.

Data Associate in Amazon Logo

Job Overview

A Data Associate is accountable for handling and studying data to support business decisions and operations. They generally deal with duties inclusive of records entry, cleaning, and validation, ensuring accuracy and completeness. Data Associates collaborate with teams to recognize records desires, conduct research, and generate reviews or visualizations. Attention to element and talent in statistics management tools are critical. They play a essential role in preserving statistics integrity and optimizing procedures, contributing to the business enterprise’s performance and strategic desires thru their insights and analyses.

Key Responsibilities of a Data Associate:

Data Collection and Entry: You will acquire facts from numerous sources, including databases, spreadsheets, and documents. Accuracy in records access is vital to make sure the integrity of statistics.
Data Cleaning and Validation: Processing facts to identify and rectify inaccuracies, lacking statistics, or inconsistencies is crucial. This includes using gear and techniques to clean and validate datasets for analysis.
Data Analysis: Utilizing statistical strategies and software to investigate datasets and extract significant insights. This might also contain developing reports, visualizations, and summaries to present findings.
Database Management: Organizing and retaining databases to make sure data availability and protection. Proficiency in SQL or other database control equipment is often required.
Quality Control: Implementing tests to keep statistics first-class requirements in the course of the statistics lifecycle. This consists of tracking statistics access approaches and adherence to facts governance regulations.
Documentation and Reporting: Documenting approaches, facts dictionaries, and evaluation methodologies. Generating everyday and ad-hoc reports for stakeholders to facilitate choice-making.(Data Associate)
Collaboration: Working intently with pass-functional groups which includes facts scientists, commercial enterprise analysts, and IT professionals to recognize statistics requirements and offer help.
Problem Solving: Identifying information-related troubles and offering answers to enhance records accuracy, efficiency, and value.
Research and Trend Analysis: Conducting studies to become aware of developments, styles, and possibilities inside datasets. This may involve marketplace research or fashion evaluation depending at the industry.
Data Privacy and Security: Adhering to data privateness guidelines and imposing security features to guard sensitive statistics from unauthorized access or breaches.

Key Skills of a Data Associate:

Attention to Detail: Precision in facts entry, cleansing, and evaluation to ensure accuracy and reliability of effects.
Analytical Thinking: Ability to interpret records, become aware of developments, and draw meaningful conclusions to aid decision-making.
Technical Proficiency: Familiarity with facts management tools including Excel, SQL databases, or statistical software program like Python, R, or SAS.
Problem-Solving Skills: Capability to troubleshoot facts troubles and broaden powerful answers.(Data Associate)
Communication Skills: Clear and concise verbal exchange of findings through reviews, shows, or visualizations. Ability to explain technical standards to non-technical stakeholders.
Teamwork: Collaborating correctly with colleagues to gain commonplace goals and supply high-quality outputs.
Adaptability: Willingness to learn new tools and techniques as technology evolve in facts management and analysis.
Ethical Awareness: Understanding the significance of statistics privateness and confidentiality, and adhering to ethical pointers in statistics coping with.
Domain Knowledge: Depending on the enterprise, familiarity with particular domains which includes finance, healthcare, or marketing may be superb for understanding context and enterprise implications of information.