Data Analyst, EMSX

Amazon Emerging Stores SX team owns self-serve process of listings in our stores. We are looking for a hands-on, detail oriented and highly motivated data analyst to help create data backed insights.The candidate should be comfortable interfacing with technology systems and be able to analyze data and gather actionable conclusions. Operating in a rapidly changing environment will require the candidate to be adept at dealing with ambiguous, new and challenging situations. Role and Responsibilities: Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format Put on your business thinking cap to drive insights and action we can take to improve the business Measure the metrics of our business and propose/implement projects to improve these metrics. Ensure KPIs are published and reviewed on a daily, weekly, monthly basis and perform analysis on any behaviours / processes that could impact on data integrity.


Job summary
Data Analyst/Business Analyst
Strong SQL Knowledge and Hands-on experience in excel



Own & manage onboard, access & data management process for Premium Seller partners
Work closely with Program/Product/Business managers and internal/external stakeholders to understand business requirements and work on solutions with data and insights support
Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. Skills Required:
Strong SQL Knowledge and Hands-on experience.
Highly proficient in Microsoft Office and Windows based applications.
Demonstrated Analytical ability, results-oriented environment with external customer interaction.
Excellent written and verbal communication and presentation skills and the ability to express thoughts logically and succinctly.
Preferred:
Minimum 2+ years of experience as an Analyst role preferred
Proficiency with visualization tools like Tableau
Understanding of data warehousing, data modeling concept and building new DW tables
Advanced SQL skills, fluent in R and/or Python, advanced Microsoft Office skills, particularly Excel and analytical platforms 1+ years of data analytics or automation experience
1+ years of capacity planning, operations planning, business analysis or similar experience
Bachelors degree
Knowledge of data pipelining and extraction using SQL
Knowledge of SQL and Excel at a moderate or advanced level
Experience with data mining tools like SQL, SAS, SPSS, or similar 2+ years of data analytics or automation experience