IT Analyst I
Honeywell
Responsibilities Key Responsibilities
Programming & Scripting
- Gain exposure to how large companies manage data across different areas like engineering, supply chain, finance, and manufacturing.
- Learn how data is used to support decision-making, dashboards, operations and reporting.
- Assist with simple data quality checks or structured cleanup tasks under mentor guidance.
- Work with senior IT leaders to understand high-level data challenges and turn them into small, hands-on prototype opportunities.
- Collaborate on innovation initiatives that use modern data engineering, cloud capabilities, and predictive analytics to generate measurable business impact.
- Learn how different systems (like SAP, cloud platforms, or analytics tools) connect/share data.
- Learn what "data governance" means and why accuracy, consistency, and security matter in large organizations.
- Help with documentation related to data definitions, business rules, or how a prototype handles data.
- Learn foundational concepts about data security, classification, and why certain industries follow strict rules.
- Follow security guidelines while working with data in prototypes or testing environments.
- Gain early exposure to enterprise systems like SAP and cloud platforms so you can grow into more advanced data roles in the future.
- Participate in learning sessions with senior leaders to understand how enterprise data supports major programs.
- Bachelor's degree (completed or in final year) in Computer Science, Data Science, IT, Engineering, or related technology discipline.
- Ability to write code in at least one language (Python, SQL, Java, JavaScript/TypeScript).
- Understanding of fundamental computer science concepts: algorithms, data structures, databases, debugging, and SDLC basics.
- Exposure to at least one relevant area: web development, scripting/automation, cloud platforms, AI/ML, data analytics, or enterprise applications.
- Strong problem-solving skills, curiosity, willingness to learn fast, and ability to communicate.
- Ability to work effectively with mentors, peers, and cross-functional stakeholders.
- Hands-on experience through academic projects, internships, capstones, or hackathons.
- Exposure to Python data libraries, data cleaning, automation scripts, or analytics notebooks.
- Experience with dashboards or BI tools (Power BI, Tableau, SAP Analytics Cloud).
- Familiarity with cloud concepts (AWS/Azure fundamentals, APIs, IAM, serverless functions).
- Exposure to AI/GenAI concepts (prompt engineering, embeddings, model evaluation, RAG).
- Experience using Git, GitHub, Copilot, VS Code, CI/CD basics, or Agile tools such as JIRA.
Programming & Scripting
- Basic Python skills for data analysis or simple automation
- SQL fundamentals for querying and working with data
- Optional exposure to Java or JavaScript
- Optional basic scripting experience (PowerShell or Bash)
- Understanding of how to clean, organize, and prepare data
- Ability to build simple dashboards using tools like Power BI or Tableau
- Exposure to basic analytics or introductory machine learning concepts
- General awareness of cloud platforms (AWS, Azure, Snowflake)
- Understanding of APIs at a beginner level
- Basic knowledge of how data moves between systems
- Experience using Git or GitHub for version control
- Familiarity with IDEs like VS Code
- Exposure to work-tracking tools (such as JIRA)
- Basic troubleshooting skills (debugging simple code or data issues)
Vacancy posted 4 days ago
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