Role and Responsibilities

• You will be responsible for analyzing complex data sets, identifying key insights, and developing strategies to optimize industrial processes through the implementation of IoT solutions.
• Drive use case and requirement analysis for the ingestion and integration of core data domains to be leveraged by Business Intelligence / Advanced Analytics / Operational teams to gain insights on AirMI’s successes and opportunities and improve operational efficiencies
• Prioritize and manage backlog.
• Perform reverse engineering to understand and evolve an existing solution.
• Research a critical source system/service to automate ingestion, educating teammates on knowledge of business data requirements and business processes.
• Requirements and Use Case documentation for data engineering development.
• Analyzing complex data sets, identifying key insights, and developing strategies to optimize industrial processes through the implementation of IoT solutions.
• Source to Target Mapping.
• Data Product Requirements.
• Test Cases for user acceptance.
• Data Dictionary (business and technical).
• Documentation around process and data flow mapping.
• Input to guidelines, data governance structure, and standards.
• Data Quality & Audit process and standards.
• Analysis of data validation and cleansing in systems.

Qualifications

• Bachelor/Master's degree in Mathematics, Economics, Computer Science, Information Management or Statistics, or related technical subject area or equivalent combination of education and experience 
• Have a strong background in data analysis and a deep understanding of the industrial IoT landscape
• 8+ years of proven work experience in Data Analyst or Business Data Analyst roles in a manufacturing environment
• Experience in Strong SQL and a scripting language such as Python or R 
• Strong problem-solving and analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy 
• Experience working with BI tools like Tableau, Power BI
• Strong understanding of data modeling and analytical algorithms 
• Experience working in Azure environment primarily Azure Synapse Analytics, ADLS Gen2 preferred 
• Ability to cleanse, curate, and manipulate data; as well as visualize and story-telling the results of an analysis 
• Clear communication and storytelling via presentations, key performance metrics, reports, and data 
• Proven experience and ability to deliver results on multiple projects in a fast-paced agile environment 
• Embrace and understand Agile methodology.
• Adjust to new stakeholders when they are identified (and intake/requirement gathering).
• Learn with architects and engineers as we engage in a new technology platform/architecture

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