Job Description
Are you a recent graduate looking to launch your career in data? Equity Options is seeking a passionate Entry-Level Data Analyst to join our dynamic team in Austin, Texas. In this role, you will support our data infrastructure, build interactive dashboards, and provide actionable insights that drive our business strategy. We pride ourselves on a collaborative culture and offer competitive compensation packages, including equity options, for our high-potential candidates.
Why Join Equity Options?
At Equity Options, we believe in investing in our people. As an Entry-Level Data Analyst, you will not just process data; you will interpret it to solve real-world business problems. You will work alongside senior analysts and data scientists in a fast-paced environment that encourages learning and growth.
The Role:
We are looking for a detail-oriented individual who is eager to learn and has a strong aptitude for numbers. Your primary focus will be transforming raw data into meaningful reports that help stakeholders make informed decisions. If you are ready to kickstart your career in the tech industry, we want to hear from you.
Responsibilities
- Data Collection & Cleaning: Gather, validate, and clean large datasets from various sources to ensure accuracy and integrity.
- Dashboard Creation: Design and develop interactive data visualizations using Tableau or Power BI to track key performance indicators (KPIs).
- Statistical Analysis: Perform basic statistical analysis to identify trends, correlations, and anomalies within the data.
- Reporting: Generate weekly and monthly reports for management, highlighting critical insights and recommendations.
- Collaboration: Work closely with marketing, sales, and operations teams to understand their data needs and provide support.
- Documentation: Maintain clear documentation of data processes, schemas, and reporting methodologies.
Qualifications
- Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, or a related field. Recent graduates are encouraged to apply.
- Technical Skills: Basic knowledge of SQL (querying and database management) and familiarity with Python or R is a plus.
- Tools: Proficiency in Microsoft Excel (PivotTables, VLOOKUP, Charts) is required.
- Analytical Mindset: Strong attention to detail and the ability to think critically about data quality.
- Communication: Excellent written and verbal communication skills to present findings to non-technical stakeholders.
- Soft Skills: Eager to learn, adaptable, and able to work effectively in a team environment.