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

The Analytics Engineer II at IntePros plays a critical role in transforming raw data into usable insights, supporting data-driven decision-making across the organization. This position requires a blend of technical expertise and analytical skills to design, build, and maintain complex analytics solutions. The ideal candidate will collaborate closely with various teams to ensure data accuracy, implement best practices in data governance, and enhance analytics capabilities to drive business performance.

Job Responsibilities

• Design and develop data models, dashboards, and reports that enable actionable insights for stakeholders.
• Collaborate with data scientists, data analysts, and other engineering teams to understand data needs and deliver tailored solutions.
• Implement and maintain data pipelines to ensure the availability and accuracy of large data sets.
• Optimize and refine existing analytics processes for efficiency and scalability.
• Conduct data quality assessments and ensure compliance with data governance principles.
• Provide analytical support for ad hoc queries and analysis to address business questions.
• Stay updated on industry trends and emerging technologies to suggest innovative solutions.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, or a related field.
• Minimum of 3 years of experience in analytics engineering, data analysis, or a similar role.
• Proficiency in SQL and experience with relational databases.
• Hands-on experience with data visualization tools (e.g., Tableau, Power BI).
• Familiarity with programming languages such as Python or R for data manipulation and analysis.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills to convey technical concepts to non-technical stakeholders.

Technologies & Tools

The Analytics Engineer II position utilizes a variety of technologies and tools, including but not limited to SQL for database querying, data visualization platforms such as Tableau and Power BI for report creation, and programming languages like Python or R for statistical analysis and data manipulation. Familiarity with cloud data warehousing solutions such as AWS Redshift or Google BigQuery is also advantageous, as well as experience with ETL tools for data extraction and loading.

Ideal Candidates

Ideal candidates for the Analytics Engineer II role possess a strong analytical mindset and a passion for data-driven solutions. They should exhibit a proactive approach to problem-solving and continuously seek to improve processes and systems. Strong communicators, these individuals also work well in collaborative environments, adapting easily to dynamic team settings. Attention to detail, coupled with the ability to synthesize complex information for diverse audiences, sets successful candidates apart, ensuring that insights are effectively communicated and implemented across the organization.