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.

Job Overview

As an Analytics Engineer II at IntePros, you will play a crucial role in transforming raw data into actionable insights that drive strategic business decisions. Your expertise will enable the organization to optimize operations and enhance performance through advanced data analysis and reporting. You will collaborate closely with cross-functional teams to identify analytical opportunities, engineer reliable data pipelines, and build comprehensive dashboard solutions that enhance data visibility across the organization.

Job Responsibilities

• Design, implement, and maintain robust data pipelines and ETL processes to ensure data accuracy and availability.
• Collaborate with data scientists, business analysts, and stakeholders to gather requirements and translate them into technical specifications.
• Create and optimize dashboards and reports using BI tools to provide insights on key business metrics.
• Conduct exploratory data analysis to identify trends, patterns, and anomalies within datasets.
• Ensure data governance standards and best practices are adhered to across all analytics processes.
• Mentor and assist junior team members in best practices for data analytics and engineering.
• Stay current with industry trends in data analytics and engineering to continually improve technical skills and methodologies.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
• Minimum of 3 years of experience in data analytics or engineering roles.
• Proficient in SQL and experience with data warehousing solutions such as Snowflake or Redshift.
• Experience with programming languages such as Python or R for data manipulation and analysis.
• Solid understanding of data visualization tools, preferably Tableau, Power BI, or Looker.
• Strong analytical skills with a proven ability to solve complex problems using data-driven approaches.
• Excellent communication skills and the ability to collaborate effectively across disciplines.

Technologies & Tools

The position will primarily involve working with a range of technologies and tools designed for data analytics and engineering. Key technologies include SQL databases such as MySQL and PostgreSQL, data warehousing platforms like Amazon Redshift or Snowflake, and programming languages such as Python for data manipulation. Additionally, familiarity with data visualization tools such as Tableau, Power BI, or Looker will be essential for creating insightful dashboards and reports. Experience with cloud infrastructure solutions (AWS, GCP, or Azure) is also beneficial.

Ideal Candidates

Ideal candidates for the Analytics Engineer II role will possess a strong analytical mindset and a solution-oriented approach to data challenges. They should demonstrate a keen attention to detail and a relentless pursuit of accuracy in their work. Candidates should exhibit effective communication skills, allowing them to explain complex concepts to non-technical team members. Additionally, a proactive attitude towards mentorship and collaboration supports the growth and efficiency of the analytics team. A combination of technical prowess and a passion for data will set candidates apart in this dynamic and engaging role.