Job Description

Our client seeks an Analytics Engineer to work on our growing Corporate Reporting and Analytics team. Our ideal candidate for this position is someone with a bachelor’s degree in computer science, Business Information Systems or similar.

Who You Are:

• Bachelor's degree in computer science, Business Information Systems or similar.
• 3+ years in the data space or comparable experience.
• Keen problem-solving abilities and strong attention to detail.
• Has the interpersonal skills necessary to work well with others in teams and collaborative work situations.
• Passion for building and maintaining data pipelines/workflows.
• Possesses a desire and ability to learn new skills/technologies.

What You’ll Need:

• Practical experience with SQL (preferably MySQL, MariaDB, or PostgreSQL), data modeling/data warehousing, and Python.
• Practical experience with visualization libraries and tools such as matplotlib, Plotly, Tableau, Power BI, Looker, or Superset.
• Basic understanding of predictive analytics, statistical modeling, and data mining (theory, algorithms, and application).
• Curiosity about how things work and tenacity to learn and bring new perspective.
• Understanding of cloud-based technologies such as AWS, GCP, or Azure.
• Salesforce and/or marketing experience is a preferred, but not required.

What you’ll work on:

• Creates and maintains data pipeline architectures to meet continuing needs of stakeholders.
• Solve novel and complex business problems with high quality maintainable code.
• Ensures data is prepared for easy visualization and reporting.
• Data gathering from a variety of sources.
• Express complex, technical topics to management, peers, and others who may not possess a strong data background. Explain deep or technical topics in easy-to-understand terms.
• Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, and other tools to support our stakeholders' needs. Relentlessly focused on minimizing defects and technical debt.
• Advocate for leading data practices and make sure that our business users make data driven decisions.
• Provide high quality documentation.