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.

Key job responsibilities
Some of the key result areas include, but not limited to:

Own the design, development, and maintenance 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

Basic Qualifications

• 1+ years of data analytics or automation experience
• 1+ years of capacity planning, operations planning, business analysis or similar experience
• Bachelor's 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

Preferred Qualifications

• Knowledge of SQL/Python/R, scripting, MS Excel, table joins, and aggregate analytical functions

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