Technical Data Analyst

Description:
Hybrid Mountain View, CA

Our client, an industry leader in financial technology and services, has an excellent opportunity for a Technical Data Analyst to work on a 6+month contract opportunity. Work will be a hybrid on-site/remote schedule in Mountain View, CA. The Technical Data Analyst will create ETL/Data Pipelines and have expert level SQL skills and an understanding of AWS services. You will be recognized as a subject matter expert across the analytics organization

Due to client requirement, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $65 - $72 / hr. w2

Responsibilities:

• Communicate with business data analysts across the Customer Success Group organization to answer technical and functional questions and enable them to access and interpret the data we provide

• Interview data consumers to understand requirements, develop functional specifications, and contribute on delivery of strategic data initiatives

• Seek opportunities to improve the data pipeline and platform, and work with Data Engineers and Technical Program Managers to prioritize, develop, and test these improvements

• Become the champion for the analyst community, represent analysts' data needs across segments or product teams

• Create data literacy plans (internal training for analysts, external materials and training for non-analysts)

• Interacts with Directors and Architects across the org.

• Has end-to-end responsibility for a project

• Teaches best practices within the analytics organization

• Coaches and mentors Technical Data Analysts within the analytics organization

• Creates roadmaps that support business strategy

• Translate complex business requirements into milestones and deliverables

Experience Requirements:

• 5+ years of experience working on ETL/data pipelines to support analytics use cases

• Advanced SQL and data warehousing knowledge

• Expertise working with big datasets and optimizing MPP Databases

• Familiarity with AWS (Redshift, Athena, and AWS core concepts)

• Tableau/Qlik Sense Data Visualization

• Clickstream data experience - Amplitude (nice-to-have)

Education Requirements:

• Bachelor's degree in Information Technology, Computer Science, Business Administration, or a related field