OVERVIEW

We are seeking a detail-oriented and analytical Data Analyst to join our dynamic team. The ideal candidate will be responsible for transforming data into actionable insights that drive business decisions. This role requires a strong foundation in data analysis, proficiency in various analytical tools, and the ability to communicate findings effectively to stakeholders.

EXPERIENCE

• Proven experience in data analysis roles with a strong understanding of database design principles.
• Proficiency in SQL, VBA, Bash (Unix shell), and familiarity with linked data concepts.
• Experience with analytics tools such as Tableau, Power BI, Looker, or similar platforms is highly desirable.
• Knowledge of project management methodologies and Agile practices is a plus.
• Strong analytical skills with the ability to interpret complex datasets and communicate findings effectively.
• Familiarity with ETL processes and tools is essential for success in this role. If you are passionate about data-driven decision-making and possess the skills outlined above, we encourage you to apply for this exciting opportunity.
  Job Types: Full-time, Internship
  Pay: $75,000.00 - $84,000.00 per year
  Work Location: Remot

• Analyze complex datasets to identify trends, patterns, and anomalies that can inform business strategies.
• Develop and maintain dashboards and reports using tools such as Tableau, Power BI, and Looker to visualize data insights.
• Collaborate with cross-functional teams utilizing Agile methodologies to ensure project objectives are met efficiently.
• Design and implement ETL processes to extract, transform, and load data from various sources into databases.
• Conduct business analysis to understand requirements and translate them into technical specifications for database design.
• Utilize programming languages such as R and Python for advanced data manipulation and analysis.
• Perform SQL queries on Microsoft SQL Server and Oracle databases to retrieve and analyze data.
• Document processes using Visio and maintain clear records of project management activities throughout the SDLC.
• Support ongoing analytics initiatives by leveraging tools like Talend for data integration tasks.