Job Description
Are you ready to launch a career in analytics? DataDriven Solutions Inc. is seeking a motivated Entry-Level Data Analyst to join our growing team in Sacramento, CA.
We understand that landing your first job can be challenging. That’s why we are looking for ambitious individuals with a strong aptitude for numbers and logic, regardless of prior professional experience. We provide comprehensive training to help you master the tools of the trade.
In this role, you will play a crucial part in helping our clients make data-driven decisions. You will work closely with senior analysts to uncover trends, generate reports, and visualize complex datasets into actionable insights.
Why Join Us?
- No Experience Necessary: We train the right candidates from the ground up.
- Competitive Pay: Salary commensurate with potential.
- Modern Environment: Work with cutting-edge tools in a collaborative office space.
Responsibilities
- Collect and Clean Data: Gather data from various sources and ensure it is accurate, consistent, and ready for analysis.
- Perform Basic Analysis: Use SQL and Excel to interpret data sets, identify trends, and solve business problems.
- Create Visualizations: Build clear and compelling charts, graphs, and dashboards (using tools like Tableau or PowerBI) to present findings to stakeholders.
- Assist in Reporting: Support the senior team in generating weekly and monthly performance reports and summarizing key metrics.
- Collaborate: Work closely with marketing, sales, and operations teams to understand their data needs and provide insights.
- Maintain Databases: Help maintain and organize our internal data repositories to ensure data integrity.
Qualifications
- Education: Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field. Recent graduates are encouraged to apply.
- No Experience Required: This position is open to entry-level candidates who are eager to learn.
- Technical Skills: Proficiency in Microsoft Excel (Pivot tables, VLOOKUP, Macros) and basic knowledge of SQL or Python is a plus.
- Attention to Detail: A keen eye for spotting errors or inconsistencies in large data sets.
- Communication: Strong written and verbal communication skills to explain complex data to non-technical audiences.
- Problem Solving: Analytical mindset with the ability to think critically about business questions.