Summary:
Client is looking for a Data Analyst to help maximize the value of digital platform. Client is focused on accelerating services and parts growth by providing digital solutions through data analytics, innovation and customer-focused solutions. This role is a technical resource to support data pipeline and data flows in and around Helios warehouse.
Responsibilities:
Understand the existing data flows / pipelines with Helios warehouse
Absorb the domain knowledge behind the datasets in Helios warehouse
Triage data gaps / bugs in production with required details towards fix
Replay the data pipeline / upload missing data to fix the data gap identified
Apply the code fix needed to ensure data integrity within Helios warehouse
Validate the data post the fix, to ensure that it is now as expected
Work with other departments to identify the right team to apply the fix
Work with other departments to absorb knowledge about new pipelines / flow
Follow established business rules for the use of an application or process.
Represent the application or process with other areas of the business who use or integrate with this part of the business.
Seek input from relevant areas of the business that should have inputs to this application or process.
Understanding, evaluating and reacting to routine problems or situations with external contacts is also part of this assignment.
Interaction is within the framework of existing business policies and practices and/or established business relationships.
Problems and issues usually involve careful interpretation, analysis or diagnosis.
Identify the nature of a complex or undefined problem and then develop the best solution or application from numerous alternatives.
Basic Qualifications:
Requires a college or university degree, technical certification or equivalent experience.
3 or more years of experience working in data pipeline related technologies or data validations
Interpersonal skills to deal with sensitive, emotional or potentially controversial situations.
This position should be familiar with data management of an application overall
Technical Qualifications:
Core Skills on programming languages (SQL; Python)
Fundamental practical knowledge on AWS services, like s3; Sagemaker; RDS; Kinesis; DynamoDB; Lamda
Fundamental practical knowledge on Snowflake and its properties
Ability to understand and analyses end-to-end data flow and pipeline