What are the responsibilities and job description for the Senior Data Analytics Developer (Job ID #0632) position at LHP Analytics & IoT?
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; 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 (end-to-end data pipelines, data ingestion, dynamic dashboards, machine learning algorithms); communicate with technical and non-technical stakeholders to gather solution requirements and validate solution implementation; design and integrate data sources to be leveraged in descriptive, statistical and predictive analytics; 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 (ETL, regression analysis, time series analysis, sentiment analysis, factor analysis, cluster analysis) to data models; synthetize descriptive statistics for material and process flow improvement; create dynamic visuals from output data.
Requirements
Bachelor’s degree (or foreign equivalent degree) in Computer Science, Information Systems, Technology, Management Information Systems, Computer Engineering, Aerospace 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; cloud architecting (AWS, Azure, or GCP); building CI/CD pipelines and using DevOps automation tools (Azure DevOps or Jenkins); building full-stack web experiences from data layer to front end using PowerBI; building AI and ML algorithms for sentiment analysis.
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