Data Analyst

Responsibilities:
- Collect, analyze, and interpret complex data sets to identify trends, patterns, and insights
- Develop and implement data collection systems and strategies that optimize efficiency and quality
- Collaborate with cross-functional teams to define project requirements and deliverables
- Perform data cleansing, transformation, and validation to ensure data accuracy and integrity
- Create visualizations, reports, and dashboards to effectively communicate findings to stakeholders
- Identify opportunities for process improvement and provide recommendations based on data analysis

Experience:
- Proven experience in project management and business analysis
- Strong knowledge of ETL (Extract, Transform, Load) processes and tools
- Proficiency in SQL for data extraction and manipulation
- Solid data analysis skills with the ability to apply statistical techniques
- Familiarity with programming languages such as R or Python for data analysis
- Experience working with visualization tools like Power BI or Tableau
- Understanding of database design principles and data modeling concepts

Preferred Skills:
- Familiarity with statistical analysis techniques such as regression analysis or hypothesis testing
- Knowledge of machine learning algorithms and predictive modeling techniques
- Experience in data mining or text mining for uncovering valuable insights from unstructured data

We offer competitive compensation packages including benefits such as health insurance, retirement plans, and paid time off. As a Data Analyst at our company, you will have the opportunity to work on diverse projects and collaborate with a talented team of professionals.

If you have a passion for data analysis, problem-solving, and driving business decisions through insights, we would love to hear from you. Apply now to join our dynamic team of Data Analysts.

Job Type: Full-time

Pay: $23.00 - $25.00 per hour

Benefits:

• 401(k)
• Flexible spending account
• Health insurance
• Paid time off

Compensation package:

• Bonus opportunities

Experience level:

• Under 1 year

Schedule:

• Day shift
• Monday to Friday

Work Location: In person