Data Analyst(REMOTE)
Please note that this is a 1 year contract position.
Data Theory Training is a MUST.
Must have Data Theory Training experience, Someone who is able to explain the "HOW"
Team works on innovation, It is a Data Science team
Needs someone who is well versed in talking about Data in a generalized way
Someone who can switch between projects and business domains
No industry requirement
High level of openness and acumen for learning new things
No data catalogs are used in the team
Partner with business stakeholders to answer questions with data, build dashboards and reporting, and carry out exploratory analysis.
Required:
Data Ontology Design, Generalized Contextual Modeling and Processing Mapping Skills Required.
Experience with developing applications for advanced AI (e.g. Generative AI), ML, NLP, or another data science specialization is required.
Experience with one or more of data engineering, product management, UI/UX design, decision science and front-end application development is... required.
Experience with building data science and data engineering solutions to real-world problems and datasets required.
Proficiency in a modern data science language (Python and/or R) required.
"Does it work?" attitude to building data science solutions. Agile Experience required.
High level of organization and ability to balance multiple tasks required.
Strong oral and written communication skills required
Experience with fast-paced agile software development / DevOps / MLOps is required.
Proficiency in building and using business intelligence / data visualization tools such as Spotfire, Tableau, QLIK
DP 203 Certification or AWS Data Engineering Certification Preferred
Main responsibilities will include, but are not limited to:
Align with business partners on requirements, success criteria and strategies for communications, user testing and deployment.
Create new mechanisms to monitor for quality signals using outputs from analytics, including descriptive analytics, signal detection, natural language processing, machine learning, and time-series analysis.
Apply analytical/statistical methods to complex and disparate data sources.
Demonstrate Data Theory core competencies and literacies is required.
Required Data Theory training is a must for this role
Applicants must provide their phone number. Reference job number A3958
Apply Now
Data Theory Training is a MUST.
Must have Data Theory Training experience, Someone who is able to explain the "HOW"
Team works on innovation, It is a Data Science team
Needs someone who is well versed in talking about Data in a generalized way
Someone who can switch between projects and business domains
No industry requirement
High level of openness and acumen for learning new things
No data catalogs are used in the team
Partner with business stakeholders to answer questions with data, build dashboards and reporting, and carry out exploratory analysis.
Required:
Data Ontology Design, Generalized Contextual Modeling and Processing Mapping Skills Required.
Experience with developing applications for advanced AI (e.g. Generative AI), ML, NLP, or another data science specialization is required.
Experience with one or more of data engineering, product management, UI/UX design, decision science and front-end application development is... required.
Experience with building data science and data engineering solutions to real-world problems and datasets required.
Proficiency in a modern data science language (Python and/or R) required.
"Does it work?" attitude to building data science solutions. Agile Experience required.
High level of organization and ability to balance multiple tasks required.
Strong oral and written communication skills required
Experience with fast-paced agile software development / DevOps / MLOps is required.
Proficiency in building and using business intelligence / data visualization tools such as Spotfire, Tableau, QLIK
DP 203 Certification or AWS Data Engineering Certification Preferred
Main responsibilities will include, but are not limited to:
Align with business partners on requirements, success criteria and strategies for communications, user testing and deployment.
Create new mechanisms to monitor for quality signals using outputs from analytics, including descriptive analytics, signal detection, natural language processing, machine learning, and time-series analysis.
Apply analytical/statistical methods to complex and disparate data sources.
Demonstrate Data Theory core competencies and literacies is required.
Required Data Theory training is a must for this role
Applicants must provide their phone number. Reference job number A3958
Apply Now