Location : Plano TX. Local Onsite. 2 days in a week (Wednesday & Thursday)
Qualifications :
Bachelors Degree (Science Technology Engineering Mathematics) plus at least 5 years of experience in data analytics or currently has a masters in data science or analytics
6 years of experience with data analysis & data profiling in project business requirements definition or data engineering telematics industry
4 years of strong Data Profiling experience & ability to identify trends and anomalies in the data to inform data model build out
Experience in working with Datasets from several internally available and external data sources
Experience working with structured / unstructured datasets ability to clearly document and communicate requirement to technical team members
Experience with Business Intelligence tools SQL Tools warehouses (redshift)
Scripting experience in (Python R Spark and SQL)
Strong desire and experience with data in various forms (data warehouses / SQL unstructured data)
Experience utilizing and developing within AWS services
Responsibilities :
Data Management and Operations team is tasked with the responsibility of developing quality data collection processes maintaining the integrity of our data foundations and enabling business leaders and data scientists across the company to have rapid access to the data they need for decisionmaking and innovation
Maintain a predictable transparent global operating rhythm that ensures alwayson access to highquality data for stakeholders across the company
Responsible for daytoday data collection transportation maintenance / curation and access to the connected tech data assets
Work crossfunctionally across the enterprise to centralize data and standardize it for use by business data science or other stakeholders
Increase awareness about available data and democratize access to it across the company
As a member of the data engineering team you will be the key domain expert overseeing out of car experiences processes and drive a strong discussion for how business needs to be defined and prioritize by working very closely with business leads data science team and data engineering team
Youll develop an indepth understanding of business processes in and translate business requirements to data engineering team in technical way
Discover analyze and scope data requirements & representing them in conceptual and logical data models
Gather and analyze data pertaining to various business processes such as forecasts predictions and all of Connected technologies telematics data
Create highlevel process models (system interface diagrams workflow & swim lane diagrams data flow diagrams) to represent processes for the area under analysis
Empower the business by creating value through the increased adoption of data data science and business intelligence landscape
Responsible to improve the quality of data in relation to defined expectations
Perform analysis of system data to identify patterns exceptions and erroneous data