JOB OVERVIEW

We are seeking a detail-oriented and analytical Data Analyst to join our dynamic team. In this role, you will be responsible for collecting, processing, and analyzing data to support decision-making processes within the organization. You will work closely with various departments to provide insights that drive business strategies and improve operational efficiency. The ideal candidate will possess strong analytical skills and a passion for data-driven solutions.

EXPERIENCE

• Proficiency in SQL is essential; experience with Oracle is a plus.
• Familiarity with big data technologies and frameworks.
• Hands-on experience with ETL tools such as Informatica or Talend.
• Strong knowledge of linked data concepts and their applications.
• Demonstrated ability in data analysis skills, including statistical analysis and predictive modeling.
• Experience in database design and management is preferred.
• Proven leadership skills with the ability to guide teams through complex projects.
• A background in Agile project management methodologies is advantageous.
• Excellent communication skills with the ability to convey complex information clearly. Join us as we leverage the power of data to drive innovation and improve our business outcomes. If you are passionate about analytics and eager to make an impact, we encourage you to apply.
  Job Type: Full-time
  Pay: $24.57 - $32.00 per hour
  Expected hours: No less than 40 per week

Benefits:

• 401(k) matching
• Dental insurance
• Employee assistance program
• Employee discount
• Flexible schedule
• Health insurance
• Paid time off
• Parental leave
• Vision insurance

People with a criminal record are encouraged to apply
Work Location: Remot

• Collect, clean, and validate data from multiple sources to ensure accuracy and reliability.
• Utilize SQL for querying databases and extracting relevant information for analysis.
• Develop visualizations and dashboards using Tableau to present findings in an accessible manner.
• Conduct ETL (Extract, Transform, Load) processes to prepare data for analysis.
• Collaborate with cross-functional teams to understand their data needs and provide actionable insights.
• Implement data management best practices to maintain the integrity of the database.
• Participate in project management activities to ensure timely delivery of analytical projects.
• Analyze large datasets using Python and other tools to identify trends, patterns, and anomalies.
• Support the design and implementation of data warehouses and databases.
• Employ Agile methodologies in project execution to enhance collaboration and efficiency.