Data Analytics Engineer

Our client seeks a Senior 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. 5+ 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. Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

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