Job Description
Are you a detail-oriented professional seeking a Data Analyst role in Los Angeles with the financial stability of weekly pay? At Stellar Data Systems, we are revolutionizing how businesses interpret big data. We are looking for a proactive Data Analyst to join our high-performance team and drive strategic decision-making.
Why Join Us?
- Weekly Pay Schedule: Get paid every week for your hard work.
- Modern Environment: Work in a collaborative, tech-forward office in downtown LA.
- Growth Opportunities: Clear pathways for career advancement within a rapidly expanding firm.
As a key member of our analytics team, you will bridge the gap between complex data and actionable business insights. If you are ready to leverage your skills to make a tangible impact, we want to hear from you.
Responsibilities
- Collect, clean, and analyze large datasets to identify trends, patterns, and insights that drive business growth.
- Develop and maintain interactive dashboards (Tableau, Power BI, or Looker) to visualize complex data for stakeholders.
- Collaborate with cross-functional teams, including marketing, finance, and operations, to define key performance indicators (KPIs).
- Perform statistical analysis and predictive modeling to forecast market trends and user behavior.
- Prepare detailed reports and presentations to communicate findings and recommendations to executive leadership.
- Ensure data integrity and accuracy across all reporting systems and databases.
- Identify process improvements and automation opportunities within the data pipeline.
Qualifications
- Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field.
- Minimum of 2 years of professional experience as a Data Analyst.
- Strong proficiency in SQL for querying and database management.
- Experience with data visualization tools such as Tableau or Microsoft Power BI.
- Proficiency in programming languages like Python or R for advanced data manipulation.
- Excellent communication skills, with the ability to translate technical data into business language.
- Detail-oriented with strong problem-solving and critical thinking abilities.