Sr. Data Analyst - Palantir

What You’ll Do

EIIC functional excellence organization is aligned with CTO’s strategy to drive “One Eaton Engineering Functional Excellence”. The Charter of this organization is to simplify & create better work experiences for our Engineers by transforming existing engineering work processes. EIIC functional excellence organization will work with global Engineering Functional Excellence leaders in CTO’s office, Electrical, and Industrial Sector businesses.

These organizations will be responsible for developing and deploying One Eaton processes across all sectors and businesses across the globe.

As Senior Data Analyst and Automation engineer, you will be responsible for understanding the critical problem statements and find unique end-to-end solutions using Big Data Analytics and Automation expertise. You will also be responsible for establishing and deploying standard practices and processes for Process Automation, Big Data Analytics, Dashboards, and reporting and drive continuous improvement on these processes.

Primary Responsibility

• Works with the various internal and external customers and Gathers and prioritizes customer needs and translates them into actionable requirements.
• Communicate insights to stakeholders, enabling data-driven decision-making across the organization
• Develop apps in Workshop, perform ETL process in Palantir, and develop meaningfull insights from the data.
• Select the appropriate programming languages, tools, and frameworks considering factors like scalability, performance, and security.
• Establish coding standards and best practices to ensure the code is maintainable and efficient.
• Organize & assemble information from diverse data sources in such a manner that the data aggregation is easily replicable and maintainable.
• Proficiently identify and apply the appropriate data analytics algorithm and come with recommendations based on the insights generated.
• Report out results in the form of various dashboards reporting measurement against targets, historical data trends and data snapshots supporting the end customers data requirements.
• Strategizes new uses for data and its interaction with data design.
• Manage multiple projects and deliver results on time and with the requisite quality
• Strive to get internally and externally recognized in this area by continuously learning and developing project management standard works and dashboard reporting.
• Knowledge of Engineering and Program management data sets including SAP or Oracle datasets will be recommended.
• Knowledge of SCM would be added advantage
  
  
  

Qualifications And Skills

Bachelor’s Degree in Computer/Electrical Engineering with 6-9 Yrs experience. Strong understanding of organizational processes.

• Professional experience in database management, data solution development, data transformation, and data quality assurance.
• Knowledge of Palantir Foundary Platform tools, including Code repository, Ontology manager, Object view, Workshop, and Data Connection.
• Knowledge of PowerBi, ETL process, RLS, and Dataflow would be an added advantage.
• Strong hands-on experience with Python and PySpark, demonstrating the ability to write, debug, and optimize code for data analysis and transformation.
• Competence in analyzing data and efficiently troubleshooting issues using PySpark and SQL.
• Familiarity with Data Ingestion, including data loading expertise with Oracle databases, SharePoint, and API calls.
• Comfortable working in Agile development methodologies, adapting to changing project requirements and priorities.
• Effective verbal and written communication skills to collaborate with team members and stakeholders.
• Capability to adhere to development best practices, including maintaining code standards, unit testing, integration testing, and quality assurance processes. Primary Skills
• Palantir tools
• Python/Pyspark
• Database Management Secondary Skills
• Excellent verbal and written communication and interpersonal skills
• Ability to work independently and within a team environment
• Understanding of how Supply Chain, Enovia (PLM), Financial, Master Data (Customer, Supplier, Products) Data is interconnected
  
  
  

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