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.

Position Overview

The Analytics Engineer II at IntePros is responsible for transforming data into actionable insights through a combination of technical expertise and analytical thought. This role involves designing and building data pipelines, developing robust metrics and reporting solutions, collaborating with cross-functional teams, and ensuring data integrity. The successful candidate will leverage statistical techniques and data modeling to inform business decisions and foster a data-driven culture within the organization.

Job Responsibilities

• Design, develop, and maintain scalable data pipelines to facilitate data transformation and integration.
• Create interactive dashboards and reports to present key business insights to stakeholders.
• Perform data quality checks and validate analytical outputs to ensure data integrity and reliability.
• Collaborate with data scientists and business stakeholders to understand requirements and translate them into technical specifications.
• Participate in the development of KPIs and business metrics in alignment with organizational goals.
• Document data flows, processes, and best practices to contribute to the team's knowledge base.
• Utilize SQL and other analytical tools to extract, manipulate and analyze data sets.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, or related field.
• At least 3 years of experience in data analytics, business intelligence, or a related field.
• Proficiency in SQL and experience with data warehousing solutions.
• Familiarity with data visualization tools such as Tableau, Power BI, or Looker.
• Strong programming skills in Python or R for data analysis.
• Understanding of statistical methods and experience with predictive analytics.
• Excellent problem-solving skills and attention to detail.
• Effective communication skills with the ability to convey complex information to non-technical stakeholders.

Technologies & Tools

This position utilizes a variety of technologies and tools designed to enhance data analysis and visualization capabilities. Candidates will work with SQL for database queries, data visualization platforms such as Tableau or Power BI, and programming languages including Python or R. Familiarity with cloud data warehousing solutions such as Snowflake or Google BigQuery is also essential. The candidate may also engage with tools for version control like Git as part of collaborative projects.

Ideal Candidates

The ideal candidate for the Analytics Engineer II position is a detail-oriented and analytical thinker with a passion for data. They would possess a strong technical background while demonstrating effective interpersonal skills to work with diverse teams and stakeholders. Characteristics such as proactivity, adaptability, and the ability to simplify complex data insights are essential. A curiosity-driven mindset is also valuable, enabling the candidate to continually seek better methods for data analysis and reporting.