Job Description
Are you a recent graduate ready to launch your career in the heart of Silicon Valley? Nexus Analytics is seeking a talented Entry Level Data Analyst to join our dynamic team. We are committed to fostering a culture of innovation and are looking for individuals who are passionate about turning raw data into actionable business insights.
In this role, you will work closely with senior data scientists and business stakeholders to solve complex problems. You will be responsible for ensuring data accuracy, generating reports, and building visualizations that drive strategic decisions for our clients.
Why You'll Love Working Here:
- Competitive Compensation: Salary range of $62k - $78k with annual performance bonuses.
- Hybrid Work Model: Enjoy the flexibility of working from our modern San Jose office and from home.
- Professional Growth: Access to premium training programs in SQL, Python, and Machine Learning.
- Benefits: Comprehensive medical, dental, vision, and 401(k) matching.
Responsibilities
- Collect, clean, and preprocess large datasets to ensure high-quality analysis.
- Develop interactive dashboards and visualizations using Tableau or PowerBI.
- Write complex SQL queries to extract and manipulate data from relational databases.
- Collaborate with cross-functional teams to identify key performance indicators (KPIs).
- Perform statistical analysis to identify trends, patterns, and anomalies in data.
- Present findings and insights to non-technical stakeholders in a clear, compelling manner.
- Assist in the maintenance of data pipelines and documentation of analytical processes.
Qualifications
- Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
- Familiarity with SQL for database querying and data extraction.
- Proficiency in Microsoft Excel (VLOOKUP, Pivot Tables, Macros).
- Basic knowledge of Python or R for data manipulation.
- Strong analytical thinking and problem-solving abilities.
- Excellent written and verbal communication skills.
- Ability to work in a fast-paced, collaborative environment.