IT Analyst I
The IT Analyst I role at Confidential Client offers early-career professionals exposure to enterprise data management across multiple business areas, focusing on data quality, governance, and analytics. The position involves supporting data-driven decision-making through hands-on tasks like data cleanup, prototype development, and collaboration on innovation initiatives using modern data engineering and cloud technologies. This role provides foundational experience with enterprise systems, programming, and data security, preparing candidates for advanced data roles in a large organizational environment.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
This entry-level IT Analyst I role is a hands-on introduction to how enterprise organizations manage and use data. You'll work on small, mentor-guided projects that support decision-making, reporting, and prototype development across engineering, supply chain, finance, and manufacturing systems for a confidential client.
- Gain exposure to enterprise data flows and systems (e.g., ERP, cloud platforms, analytics tools).
- Support simple data quality checks, structured cleanup, and documentation of data definitions and business rules.
- Build small prototypes or automation scripts that demonstrate solutions to real business problems.
- Assist in creating basic dashboards and reports to surface insights for stakeholders.
- Follow data security and governance guidelines while working in test or prototype environments.
- Participate in learning sessions with senior IT and data leaders to understand broader programs and career pathways.
Minimum Qualifications
- Bachelor’s degree completed or in final year in Computer Science, Data Science, IT, Engineering, or a related technology discipline.
- Ability to write code in at least one language (Python, SQL, Java, or JavaScript/TypeScript).
- Understanding of core computer science fundamentals: algorithms, data structures, databases, debugging, and basic SDLC concepts.
- Exposure to at least one of: web development, scripting/automation, cloud platforms, AI/ML, data analytics, or enterprise applications.
- Strong problem-solving mindset, curiosity, and clear communication skills.
- Ability to work effectively with mentors, teammates, and cross-functional stakeholders.
We Value / Preferred
- Academic projects, internships, capstones, or hackathon experience.
- Familiarity with Python data libraries, data cleaning, or analytics notebooks.
- Experience with dashboards or BI tools (Power BI, Tableau, SAP Analytics Cloud).
- Basic cloud awareness (AWS/Azure fundamentals, APIs, IAM, serverless concepts).
- Exposure to AI/GenAI concepts (prompt engineering, embeddings, model evaluation).
- Version control experience (Git/GitHub) and comfort with IDEs like VS Code.
- Familiarity with Agile tools such as JIRA and CI/CD basics.
Technical Skills
- Programming & scripting: Basic Python for analysis/automation, SQL fundamentals; optional exposure to Java or JavaScript; basic PowerShell/Bash a plus.
- Data & analytics: Data cleaning, organizing, and preparing datasets; ability to help build simple dashboards.
- Cloud & platforms: Awareness of cloud platforms (AWS, Azure, Snowflake) and how data moves between systems.
- Tools & productivity: Git/GitHub, VS Code, and issue-tracking tools (e.g., JIRA).
Compensation & Employment Type
- Estimated compensation: $51,924 per year (estimated).
- Employment type: Full-time.
- This position is with a confidential client and is based in Phoenix, AZ.
Location
- On-site in Phoenix, AZ (local candidates preferred). This posting is for work supporting the confidential client in Phoenix.
Why This Role
- Fast learning curve with mentorship from senior IT and data professionals.
- Broad exposure across systems and business areas — great foundation for data engineering, analytics, or enterprise IT career paths.
- Hands-on opportunities to build prototypes and see measurable business impact.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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