Hiring Organization: Target

Post Name: Data Analyst

Qualifications: Graduation

Work Hours: 8

Salary: $20-$30/Hour

Locations:  Hartford, USA

Job Description:

Target is an iconic brand, a Fortune 50 company, and a leading American retailer.

Join a team as a Guest Data Platform Product Data Analyst working to set the company's direction to maximize the strategic value of our guest data while maintaining rigorous standards for data privacy and ensuring compliance current and future data privacy laws. A product data analyst will transform data into information, information into knowledge, and knowledge into business decisions. Business decisions may include, but are not limited to, product feature prioritization, data strategy, use case business impact assessment, and/or test implementation decisions A /B. Product Data Analyst responsibilities include performing a full lifecycle analysis to include requirements, profiles, and design. Product Data Analysts will develop analytical, ad hoc, and operational reporting and dashboard capabilities. They will also monitor performance and quality control plans to identify improvements in guest data quality.

As a Guest Data Administrator, a Product Data Analyst is responsible for interacting with Business Owners, Product Owners, Engineering and Architecture to create data definitions, data quality rules and exception guidelines. Categorize data based on personally identifiable information ("PII") and other metrics that help manage data as a business asset.

Responsibility:

• Interpret data, analyze results, and deliver ongoing reports, analytics, or dashboards that measure guest data health and product OKRs.
• Identify, analyze and interpret trends or patterns in complex datasets to inform the GDP roadmap. Work with product management to inform use case prioritization using data to make decisions about the size, scope, and anticipated business impact of use case deployments.
• Set up and measure A/B test results using enterprise testing tools
• Responsible for understanding end-to-end guest data flows and identifying data dependencies to support delivery, release and change management.
• Responsible for developing and maintaining an enterprise data dictionary aligned with data assets and enterprise glossary for guest data landscape definition and maintenance, including overlaps with technology landscape, data flows/transformations of end-to-end guests and lineage data.
• Job duties can change at any time due to business needs.

About you:

• Degree in Mathematics, Economics, Computer Science, Information Management or Statistics
• 2+ years of proven work experience as a Data Analyst or Business Data Analyst
• Technical proficiency in data modeling, database design development, data mining, and data integration techniques
• Excellent knowledge and experience with reporting tools, database programming language (eg SQL, etc). Experience with big data programming (e.g. spark, hive, python, etc.) is helpful.
• Excellent analytical skills with the ability to collect, organize, analyze and disseminate significant amounts of information with attention to detail and accuracy.
• Expert in consultancy, drafting of reports and presentation of results.

Top 20 Common Interview Questions

1. Tell me about yourself.
2. What are your strengths and weaknesses?
3. Why do you want to work for our company?
4. What experience do you have that makes you a good fit for this position?
5. What are your long-term career goals?
6. How do you handle stress and pressure?
7. Can you give me an example of a time when you had to resolve a conflict with a colleague?
8. What do you know about our industry/competitors?
9. How do you stay organized and manage your workload?
10. Can you describe a time when you had to think creatively to solve a problem?
11. How do you handle criticism or feedback?
12. What motivates you to perform at your best?
13. How do you prioritize tasks and manage your time effectively?
14. What do you think are the most important qualities for success in this role?
15. Can you describe your leadership style?
16. Can you walk me through your resume and explain any gaps or inconsistencies?
17. What do you think sets you apart from other candidates?
18. How do you handle ambiguity or uncertainty in a project?
19. Can you give an example of a time when you had to adapt to a new situation quickly?
20. What questions do you have for us?

It's important to prepare for these types of questions and think about how you can best showcase your skills and experience to demonstrate why you're the right fit for the job.