Location: Beaverton, OR
Onsite - 5 days
Expr: 10+
Responsibilities
· 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.
What you bring
· Bachelor/Master degree in Mathematics, Economics, Computer Science, Information Management or Statistics or related technical subject area or equivalent combination of education and experience
· 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.
· Have a strong background in data analysis and a deep understanding of the industrial IoT landscape
· 8+ years proven work experience in Data Analyst or Business Data Analyst role in 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
· Self-starter, highly organized and result oriented; and should be able to work with minimal direction
· Embrace and understand Agile methodology.
· Adjust to new stakeholders when they are identified (and intake/requirement gathering).
· Learn with architect and engineers as we engage in a new technology platform/architecture
· Work across a solutions team that is a mix of teammates from differing functions and located in different places around the world.
· Ensure accountability for teammates and themselves.
· Work with the team to meet goals (team player).
· Communicate early and often when clarity is needed (not make assumptions).
· Be transparent and ask for help when needed.