Job Description
The candidate would be responsible for maintaining/enhancing WBRs and other analytical frameworks setup by analysts. They would also be required to build reports, take up dive deep requests, make changes to existing analytical frameworks and provide adhoc data support to Ops stakeholders. The person should have a good understanding of a business requirement and the ability to quickly get to the root cause of a particular reporting/BI/data issue, and draft solutions for resolution. The ideal candidate would be high on attention to detail, bias for action and interest in analytics/BI/automation. Some of the key result areas include, but not limited to: Own the design, development, and maintece of ongoing queries, metrics, reports, analyses, dashboards, etc. to drive key business decisions. Ensure data accuracy by validating data for new and resources.
Work closely with stakeholders (internal/external) to understand and automate/enhance existing processes
Should be open to learn and develop skill sets in the latest technologies and analytical techniques
Should understand how data/analytical frameworks and their work translate to business on ground
Should be able to come up with innovative ideas for new work or to improve existing work About the team
We provide operational execution support for DSP payments process across NA/EU/JP, with a goal of driving process standardization and quality at lower cost through program initiatives and offering solutions through in-house tools/automations. Marcopolo (CO IN) focuses on driving program initiatives in collaboration with NA/EU/JP/ECCF/LATAM stakeholders in DSP Payments, which help to (i) Standardize LM payments processes across geographies, establish WW parity and provide platform for knowledge sharing, (ii) Improve process efficiencies, reduce cost and free up time for operators to focus on operations (iii) Identify automation opportunities and provide solutions for achieving Hands Off the Wheel (HOTW) for DSP Payments 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 Knowledge of SQL/Python/R, scripting, MS Excel, table joins, and aggregate analytical functions
Job Classification
Industry: Internet
Functional Area / Department: Data Science & Analytics
Role Category: Business Intelligence & Analytics
Role: Data Analyst
Employement Type: Full time
Contact Details:
Company: Amazon
Location(s): Hyderabad
Keyskills:
Automation
SAS
Business analysis
Analytical
SPSS
Data mining
Operations
SQL
Python
Capacity planning