Job Role: Data Associate
Salary: Rs 3,03,379 per year
Location: Bengaluru
Company: Amazon
Qualifications: Bachelor’s degree
Experience:
ABOUT AMAZON
Amazon is a worldwide leader in e-trade and cloud computing, founded by Jeff Bezos in 1994. Originally began as a web bookshop, it has in view that improved right into a massive market presenting everything from electronics to groceries. With its consumer-centric approach, Amazon focuses on convenience, choice, and aggressive pricing, making buying easy and accessible for hundreds of thousands worldwide.
In addition to retail, Amazon Web Services (AWS) offers cloud computing solutions that electricity groups of all sizes, revolutionizing how agencies manipulate their digital infrastructure. The employer is likewise a substantial participant in leisure via Amazon Prime Video, and it continues to innovate with improvements in synthetic intelligence, logistics, and clever domestic era.
Amazon’s dedication to sustainability includes initiatives aimed at decreasing its carbon footprint and selling renewable strength. With its various product services and services, Amazon remains devoted to enhancing consumer reports and shaping the destiny of trade and generation.
Job Description
As a Data Associate, you may be liable for amassing, organizing, and studying facts to help selection-making techniques. Your tasks consist of statistics entry, keeping databases, and ensuring information integrity. You will help in generating reports and visualizations to give findings to stakeholders. Attention to detail and talent in records management equipment are vital. You will collaborate with pass-useful groups to understand information needs and contribute to initiatives aimed at enhancing statistics accuracy and accessibility. Strong analytical talents and a proactive method are key to achievement in this role.
Qualifications and Skills for Data Associate Position:
Educational Background:
- Bachelor’s degree in Data Science, Statistics, Computer Science, Information Technology, or a related field is desired.
- Relevant certifications in information analysis or database control (e.g., Microsoft Excel, SQL, Python, or R) may be high-quality.
Technical Skills:
- Proficiency in records management software and gear, which include SQL, Excel, and records visualization systems (e.g., Tableau, Power BI).
- Familiarity with statistical analysis techniques and software programs (e.g., R, SAS, SPSS).
- Experience with database control structures (DBMS) and data warehousing principles.
- Understanding of facts cleaning and preprocessing strategies to make certain information pleasant.
Analytical Skills:
- Strong analytical wondering and problem-fixing abilities to interpret complex datasets and pick out developments.
- Capability to behavior quantitative and qualitative analyses to help enterprise goals.
- Attention to detail to hold records accuracy and integrity all through analysis and reporting procedures. (Data Associate)
Communication Skills:
- Excellent verbal and written verbal exchange talents to carry findings without a doubt to both technical and non-technical stakeholders.
- Ability to create and gift complete reviews and visualizations that summarize records insights effectively.
Organizational Skills:
- Strong organizational competencies to manipulate more than one responsibility and project concurrently while assembly time limits.
- Ability to prioritize workloads and adapt to converting venture necessities in a fast-paced environment.
Teamwork and Collaboration:
- Proven capability to paint collaboratively within go-useful groups, demonstrating flexibility and flexibility.
- Openness to comments and a willingness to learn from others to enhance personal and group overall performance. (Data Associate)
Soft Skills:
- Strong essential questioning capabilities to evaluate information and make informed choices.
- A proactive and self-inspired technique for hassle-solving, with a focus on continuous improvement.
- Good interpersonal abilties to build nice relationships with crew participants and stakeholders.
Additional Qualifications:
- Previous enjoyment in a facts-related function, which includes statistics entry, facts evaluation, or database administration, is desired.
- Knowledge of enterprise-precise rules and compliance related to records management (e.g., GDPR, HIPAA) may be a plus.
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