Job Description
Are you passionate about uncovering insights and solving complex problems? Nebula Analytics is seeking ambitious individuals to join our team as Entry Level Data Analysts. We value potential and learning over prior experience, offering a comprehensive training program to launch your career in data science.
In this role, you will work alongside senior analysts to transform raw data into actionable business intelligence. You will gain hands-on experience with industry-standard tools while contributing to high-impact projects for our diverse client portfolio. If you have a knack for numbers and a desire to learn, we want to meet you.
Why Join Us?
- Comprehensive training for career changers and recent graduates.
- Competitive salary and benefits package.
- Modern work environment in the heart of Seattle.
- Clear path for rapid career advancement.
Responsibilities
- Data Collection & Cleaning: Assist in gathering data from various sources and ensuring data accuracy through cleaning and validation processes.
- Dashboard Creation: Utilize visualization tools like Tableau or PowerBI to create intuitive dashboards that track key performance indicators (KPIs).
- Statistical Analysis: Perform basic statistical analysis to identify trends, patterns, and anomalies within datasets.
- Reporting: Prepare clear and concise reports for stakeholders, translating complex data findings into business-friendly insights.
- Collaboration: Work closely with the marketing and operations teams to understand their data needs and support decision-making.
- SQL Management: Write and optimize SQL queries to retrieve data from relational databases efficiently.
Qualifications
- Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, or a related field. (Recent graduates are encouraged to apply).
- Technical Skills: Familiarity with Microsoft Excel (pivot tables, VLOOKUP) and basic understanding of SQL or Python is a plus.
- Analytical Mindset: Strong attention to detail and the ability to think critically about data patterns.
- Communication: Excellent written and verbal communication skills; ability to explain complex concepts to non-technical audiences.
- Tools: Willingness to learn data visualization software and business intelligence tools.
- Self-Starter: Proactive attitude with a strong drive to learn new technologies and methodologies.