Agree Technologies has opportunities in the following areas. If you are interested and would like to be considered for opportunities, please submit your resume to [email protected]

Data Analyst

Position Overview:

We are seeking a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will have a strong background in data analysis, with the ability to interpret complex data sets and provide actionable insights. As a Data Analyst, you will be responsible for collecting, processing, and analyzing data to support business decision-making and drive strategic initiatives.

Key Responsibilities:

• Collect, process, and analyze large data sets to identify trends, patterns, and insights.
• Develop and maintain dashboards and reports to track key performance indicators (KPIs) and business metrics.
• Collaborate with business stakeholders to understand their data needs and provide analytical support.
• Perform data validation and ensure data integrity and accuracy across all reports and analyses.
• Conduct ad-hoc analyses to support various business initiatives and projects.
• Utilize statistical methods and data visualization techniques to present findings in a clear and concise manner.
• Identify opportunities for process improvements and recommend data-driven solutions.
• Stay up-to-date with industry trends and best practices in data analysis and business intelligence.

Qualifications:

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field; Master’s degree preferred.
• 3+ years of experience in data analysis or a related role.
• Proficiency in SQL and experience with data analysis tools (e.g., Excel, R, Python).
• Strong knowledge of data visualization tools such as Tableau, Power BI, or Looker.
• Experience with data warehousing concepts and ETL processes.
• Excellent analytical and problem-solving skills with a keen attention to detail.
• Strong communication skills and the ability to present complex data findings to non-technical stakeholders.
• Familiarity with statistical analysis and predictive modeling techniques is a plus.
• Ability to work independently and collaboratively in a team environment.