Job Description
Are you ready to launch your career in the fast-paced world of analytics? DataDriven Solutions is looking for a motivated Entry Level Data Analyst to join our growing team in Los Angeles. We are an equal opportunity employer committed to diversity and inclusion.
The Role:
We are seeking a curious and detail-oriented individual who is passionate about uncovering insights from data. While prior professional experience is not required, we require a strong aptitude for numbers and a willingness to learn. You will receive comprehensive training on our proprietary tools and methodologies.
Why Join Us?
- Comprehensive training program for aspiring analysts.
- Mentorship from senior data scientists.
- Collaborative and innovative work environment.
- Competitive benefits package including health, dental, and vision insurance.
Responsibilities
- Collect and analyze large datasets to identify trends, patterns, and opportunities for growth.
- Prepare and present clear, actionable reports and visualizations to key stakeholders.
- Collaborate with marketing and product teams to define data requirements and improve reporting processes.
- Assist in the maintenance and optimization of SQL databases and data warehouses.
- Conduct quality assurance checks to ensure data accuracy and integrity.
- Support the development of automated dashboards using tools like Tableau or Power BI.
- Research industry trends to provide competitive analysis and strategic recommendations.
Qualifications
- Bachelor’s degree in a related field (Math, Statistics, Economics, or Computer Science) or equivalent professional experience.
- Familiarity with Microsoft Excel, including advanced functions like VLOOKUP, Pivot Tables, and Macros.
- Strong analytical mindset with excellent problem-solving skills.
- Excellent written and verbal communication abilities.
- Basic understanding of SQL or Python is a plus but not mandatory.
- Ability to work independently as well as part of a collaborative team.
- High attention to detail and a commitment to data quality.