Analytics Engineer II

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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.

Overview

The Analytics Engineer II at IntePros is a pivotal role that involves designing, developing, and maintaining data infrastructures essential for data analytics. This position requires strong collaboration with cross-functional teams to translate business requirements into data models, ensuring the availability and quality of data for analytical solutions. The candidate will harness their expertise in data engineering and analytics to empower strategic decision-making through rigorous data analysis and reporting.

Job Responsibilities

• Develop and maintain scalable data pipelines and ETL processes that accommodate the growing data needs of the organization.
• Collaborate with data scientists and analysts to design data models that enhance analytics capabilities.
• Analyze existing data structures and recommend improvements or optimizations.
• Create and maintain documentation related to data structures, data flows, and analytics processes.
• Perform data quality checks and validations to ensure data integrity and reliability.
• Assist in the development of ad-hoc reports and dashboards to support business intelligence efforts.
• Mentor junior team members in data engineering best practices and analytics methodologies.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
• 3-5 years of experience in analytics or data engineering roles, preferably within a corporate environment.
• Proficiency in SQL and experience with at least one modern programming language (Python, R, Java).
• Strong understanding of data warehousing concepts and experience using BI tools like Tableau, Power BI, or Looker.
• Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
• Experience with data modeling and database design principles.
• Excellent analytical thinking and problem-solving skills.

Technologies & Tools

The Analytics Engineer II will utilize a variety of technologies and tools, including SQL for database activities, Python or R for data manipulation, ETL tools like Apache Airflow or Talend, and cloud services such as AWS or Azure for data storage and processing. Additionally, experience with BI tools such as Tableau or Power BI will be crucial for effective reporting and visualization tasks.

Ideal Candidates

Ideal candidates for this position possess a strong analytical mindset coupled with technical proficiency in data engineering. They are proactive problem solvers, capable of working independently and collaboratively within teams. Excellent communication skills are essential for translating complex data concepts to non-technical stakeholders. A keen attention to detail and a commitment to quality are vital characteristics that contribute to their success in enhancing the data-driven decision-making process at IntePros.