Job Description
Are you a data enthusiast looking to launch your career in one of the world's most dynamic tech hubs? Nexus Innovations is seeking a Junior Data Analyst to join our rapidly growing team in New York City. We are committed to hiring talent with high potential and a passion for technology, offering a structured mentorship program for candidates with little to no prior experience.
In this role, you will support our data-driven decision-making processes by collecting, processing, and performing statistical analyses on large data sets. You will work alongside senior analysts to uncover trends, create visualizations, and present insights that drive business growth. If you are ready to start your journey in the tech industry, we want to hear from you.
Why Join Nexus Innovations?
- Comprehensive training program for entry-level candidates.
- Opportunity to work with cutting-edge data tools and technologies.
- Collaborative and inclusive company culture.
- Clear pathways for career advancement within the data field.
Responsibilities
- Assist in Data Collection: Gather and organize raw data from various sources to ensure accuracy and completeness for analysis.
- Perform Basic Analysis: Conduct statistical analysis and data mining to identify trends, patterns, and correlations that impact business performance.
- Create Dashboards: Develop and maintain interactive dashboards using tools like Tableau or Power BI to visualize data for stakeholders.
- Generate Reports: Write clear and concise reports summarizing data findings and presenting actionable insights to the management team.
- Support Data Quality: Collaborate with the data engineering team to identify and resolve data inconsistencies and errors.
- Research Market Trends: Monitor industry trends and competitor data to provide context to internal metrics.
Qualifications
- Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, or a related field (or equivalent work experience).
- Technical Skills: Basic proficiency in Microsoft Excel (Pivot Tables, VLOOKUP) is required; familiarity with SQL or Python is a strong plus.
- Analytical Mindset: Strong problem-solving skills and the ability to think critically about data.
- Communication: Excellent written and verbal communication skills to translate complex data into understandable insights.
- Attention to Detail: High level of accuracy when handling large datasets.
- Enthusiasm: A genuine interest in technology, data, and learning new analytical tools.