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)
Strong knowledge and understanding of app data and processes per the necessary in-scope data domain
Ability to translate business requirements into critical data dependencies and requirements
Able to challenge and align various stakeholders to a common set of standards
Self-starter with excellent written & verbal communication skills
Self-learner and eager to understand data, business processes, concepts, and technologies
Qualifications:
degree specialized in a Science, Technology, Engineering, Mathematics discipline
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
Currently has a Bachelor's Degree plus at least 5 years of experience in data analytics, or currently has a masters in data science or analytics
At least 1 year of experience in at least one scripting language
At least 1 year of experience utilizing a business intelligence visualization tool
At least 1 year of experience in querying and analyzing and working with data languages and platforms
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 decision-making and innovation
Maintain a predictable, transparent, global operating rhythm that ensures always-on access to high-quality data for stakeholders across the company
Responsible for day-to-day data collection, transportation, maintenance/curation and access to the connected tech data assets
Work cross-functionally 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
You'll develop an in-depth 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 high-level 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