Business Intelligence / Analytics Engineer

This role is responsible for enabling intelligent business decision-making by designing and delivering robust analytics solutions. The position blends business acumen, data and analytics expertise, and technical solution architecture to produce scalable, high-quality insights.

The role partners closely with business stakeholders, data engineering, data science, and data management teams to design metrics, dashboards, and analytical solutions that drive measurable business outcomes., Business Partnership & Requirements Gathering

• Build strong business partnerships through stakeholder interviews, workshops, and solution design sessions
• Translate business needs into scalable, analytics-driven solutions

Analytics Solution Development

• Own the design, implementation, and ongoing maintenance of:

• Business metrics
• Reports and dashboards
• Analytical models and end-user tools

• Deliver complex reports and dashboards using Power BI or Qlik Sense, ensuring performance, accuracy, and usability

Data Analysis & Modeling

• Conduct deep-dive analysis into business problems and data anomalies
• Develop recommendations focused on business improvement and technical efficiency
• Leverage SQL (preferably BigQuery), Python, and/or R for data manipulation, cleansing, and optimization
• Create and maintain data models and visual representations (process flows, data flow diagrams) to clearly define and calculate key business metrics

Advanced Visualization & Adoption

• Design and implement new metrics and techniques to improve:

• KPI effectiveness
• Metric consistency
• End-user adoption

• Identify opportunities to enhance analytics through improved visualization tools, methodologies, and emerging technologies (including AI)

Cloud & Data Platform Enablement

• Provision and manage Google Cloud Platform resources using Terraform
• Configure cloud data resources for cost-effective operation
• Implement and orchestrate data transformation pipelines using Dataform or Apache Airflow

Data Quality & Governance

• Implement robust data validation, error handling, and quality checks across analytical workflows
• Ensure consistency, integrity, and reliability of analytical outputs
• Partner with Data Engineering, Data Science, and Data Management teams to improve data completeness, usability, and performance

Collaboration & Documentation

• Participate in peer reviews of SQL queries, data models, and dashboard designs
• Provide constructive feedback to team members
• Produce clear documentation covering:

• Analytical processes
• Data sources
• Definitions and calculations
• Technical design documents for analytical solutions

Scalability & Optimization

• Design analytical solutions with scalability in mind to support growing data volumes
• Proactively propose improvements to existing reports and processes using AI or other emerging technologies

• Data Mining and Data Analysis
• Data Warehousing and Data Modeling
• Data and Analytics Dashboards
• Data Integrity and Visual Design
• Strong analytical and problem-solving skills
• Business analysis competency
• Artificial Intelligence & Expert Systems

Preferred Skills

• Google Cloud Platform (Google Cloud Platform)
• BigQuery
• Business Intelligence platforms
• SonarQube
• Artificial Intelligence & Expert Systems

Experience Requirements

• 3-5 years of experience in a relevant analytics, data, or BI role

Education Requirements

• Bachelor's Degree (required and preferred)

Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Apex uses a virtual recruiter as part of the application process. Click for more details.