Data Analyst

Data Analyst

Client: Altimetrik / PayPal

San Jose, CA (Remote) Interview Process: 3 Rounds of Zoom Video

• 8+ years of experience in data mapping techniques.

• 3+ years of working with finance and treasury functions with expertise in translating functional requirements to technical specifications.

• 3+ years of strong experience Working with GCP, and its native cloud services will be an added advantage.

• Working knowledge of Reporting technologies like Power BI, Watch, and Looker is an added advantage.

• Exposure to data from finance ERP or treasury applications such as Bloomberg, Clearwater, Quantum, FX, and Clearwater is an added advantage.

• Undergraduate degree in Computer Engineering or equivalent from a leading university, preferably with a Master's degree.

• Cloud certifications (good to have)

• Experience in building Source to target mapping sheets in discussion with source SME's and businesses and working with data modelers and Data Engineers to build & validate the E2E data flow.

• Experience with automated tools to extract data from primary and secondary sources.

• Utilize technical expertise to ensure data is accurate and high-quality.

• Demonstrate excellent communication skills and maintain a consistent record of delivering results in a fast-paced environment.

• Work in Cloud environments and have expertise in using object stores, and other common cloud-native data storage and processing frameworks.

• Demonstrate ability to design & implement performant, scalable, resilient, reliable, and understandable data pipelines.

• Exhibit deep expertise in modern data engineering approaches and awareness of leading technology trends.

• Work with implementation teams from concept to operations, providing deep technical subject matter expertise for successfully deploying large-scale data solutions in the enterprise, using modern data /analytics technologies on the cloud.

• Demonstrate strong interpersonal and communication skills (both written and verbal), including speaking clearly and persuasively in positive or negative situations.

• Effectively collaborate with teams for problem-solving and resolving issues.