Job Description
Are you a recent graduate looking to launch your career in the heart of the Motor City's tech renaissance? Nexus Data Solutions is seeking a driven Entry Level Data Analyst to join our elite analytics team. We aren't just crunching numbers; we are decoding the future of data to drive strategic decision-making for Fortune 500 clients. If you have a passion for uncovering insights and a knack for storytelling through data, this is your stage to shine.
Why Join Us?
- Impactful Work: You will directly influence business strategy through data-driven insights.
- Modern Tech Stack: Work with industry-leading tools like SQL, Python, Tableau, and PowerBI.
- Career Growth: We prioritize internal promotion and professional development for our junior talent.
- Dynamic Culture: Be part of a collaborative environment in the heart of Detroit.
We are looking for a curious mind that loves solving puzzles. In this role, you will bridge the gap between complex data and actionable business intelligence. If you are ready to start your journey in the tech industry, apply today.
Responsibilities
- Data Processing: Clean, organize, and transform raw datasets into structured, usable formats using SQL and Python.
- Visualization: Design and develop interactive dashboards and reports in Tableau and PowerBI to track KPIs.
- Analysis: Perform statistical analysis to identify trends, anomalies, and opportunities for business optimization.
- Collaboration: Partner with cross-functional teams (Marketing, Finance, Operations) to understand data needs and deliver tailored insights.
- Documentation: Maintain clear documentation of data pipelines, methodologies, and analytical processes.
- Quality Assurance: Monitor data quality and integrity to ensure accurate reporting.
Qualifications
- Education: Bachelor’s degree in Statistics, Mathematics, Computer Science, Information Systems, or a related field (or currently pursuing a degree).
- Technical Skills: Proficiency in SQL (including complex queries) and familiarity with Python or R.
- Visualization: Basic to intermediate experience with data visualization tools (Tableau, PowerBI, or Looker).
- Soft Skills: Strong analytical mindset with exceptional attention to detail and problem-solving abilities.
- Communication: Ability to translate complex data findings into clear, concise, and compelling narratives for non-technical stakeholders.
- Tools: Advanced Excel skills (Pivot Tables, VLOOKUP) and experience with cloud data platforms (AWS/GCP/Azure) is a plus.