Analytics Engineer II

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

Written by AI from the job title and company, not by IntePros, so some details may not match this job. The employer's own page has the real description.

Job Overview

The Analytics Engineer II at IntePros will play a critical role in bridging the gap between data management and actionable insights. This position is responsible for designing, developing, and maintaining data models and analytical solutions that drive business decisions. The ideal candidate will leverage their expertise in data engineering and analytics to ensure that data is accurate, timely, and easily accessible to stakeholders across the organization.

Job Responsibilities

• Design and optimize data pipelines for efficient data processing.
• Develop and maintain scalable data models that meet business needs.
• Conduct data analysis to enhance data accuracy and usability.
• Collaborate with cross-functional teams to identify data requirements and analytics solutions.
• Produce reports and visualizations that communicate insights to stakeholders.
• Monitor data systems and troubleshoot issues to ensure reliability and performance.
• Document technical specifications and processes for future reference.
• Stay abreast of industry trends and technologies to enhance analytics capabilities.

Qualifications

• Bachelor's degree in Data Science, Computer Science, or a related field.
• Minimum of 3 years of experience in analytics engineering or a similar role.
• Proficiency in SQL and experience with at least one programming language such as Python or R.
• Strong understanding of data warehousing concepts and BI tools.
• Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Excellent problem-solving skills and detail-oriented mindset.
• Ability to communicate complex data insights to non-technical stakeholders.

Technologies & Tools

The Analytics Engineer II will utilize a variety of technologies and tools including but not limited to SQL databases, Python or R for data analysis, ETL tools like Apache Airflow or Talend, data visualization platforms such as Tableau or Power BI, and cloud data services from AWS, Azure, or Google Cloud. The role requires familiarity with data modeling techniques and version control systems like Git.

Ideal Candidates

The ideal candidate for the Analytics Engineer II position will possess a strong analytical mindset with the ability to interpret complex datasets. They will be detail-oriented, demonstrating a proactive approach to problem-solving and a passion for continuous learning in the rapidly evolving field of analytics. Excellent communication skills are essential, allowing them to effectively translate technical concepts to varied audiences. A collaborative spirit and the ability to work well within cross-functional teams will also be vital for success in this role.