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    Senior Data Analytics Developer - Columbus, United States - LHP Analytics & IoT

    LHP Analytics & IoT
    LHP Analytics & IoT Columbus, United States

    3 weeks ago

    Default job background
    Technology / Internet
    Description

    Job Title: Senior Data Analytics Developer

    Job Location: 305 Franklin Street, Columbus, Indiana 47201, and various unanticipated worksites throughout the U.S.

    Duties

    LHP Data Analytic Solutions LLC seeks a Senior Data Analytics Developer in Columbus, Indiana, and various unanticipated worksites throughout the U.S. Telecommuting permitted 100% of time. Duties: lead, contribute and support design, development, testing and implementation activities for implemented customer stacks (web, API, databases, cloud, AI/ML); solve complex technical development problems and delivery needs; work with customer product management and leadership teams to develop and implement solutions; complete and drive development requirements from product backlog; lead the development of product roadmap and user stories collected from customers; apply industry best practices and common applications for technical capabilities across multiple business domains (manufacturing, supply chain, corporate finance, health and safety, facilities, human resources); train customers on delivered solutions; communicate with technical and non-technical stakeholders; design and integrate data sources to be leveraged in descriptive, statistical and predictive analysis; design, create, modify, maintain, test and review analytical scripts, modules, data preparation and models; design, communicate and lead visualizing and leveraging data gathered from real-time and operational data sources; apply analytical techniques to visualization and outputs; synthetize descriptive statistics for material and process flow improvement.

    Requirements

    Bachelor's degree (or foreign equivalent degree) in Computer Science, Information Systems, Technology, Management Information Systems, Computer Engineering, or related field, and 2 years' experience in a data analytics development position. Included within the 2 years of experience, a qualified candidate must have acquired experience in the following: using programming languages (C#, Python, Java, JavaScript, JQuery, HTML, CSS, or TypeScript) to develop applications, build scalable applications, and integrate source, legacy and connected systems; SQL databases and queries to save versions and update customer data; leading digital transformation and integration of legacy connected systems into web APIs written in ASP.NET Core, Flask, Django, or Spring Boot; cloud architecting (AWS, Azure, or GCP); building CI/CD pipelines and using DevOps automation tools (Azure DevOps and Jenkins); building full-stack web experiences from data layer to front end using modern JavaScript libraries (Angular and React).



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