Analytics Engineer, Employee Technology Support

Analytics Engineer on Bloomberg's Employee Technology Support (ETS) team designs data models, ETL pipelines, and dashboards to turn operational data into decision-ready insights and improve support operations. You will own data solutions end-to-end and collaborate across Engineering, Product, and business stakeholders. This onsite role is based in New York, NY with a salary range of USD 110,000 to 130,000 per year.

Responsibilities

• Collaborate with Employee Technology Support teams to understand operational challenges and design scalable data solutions.
• Create and maintain robust data models, ETL pipelines, and automated data flows using SQL, Python, and Qlik Sense.
• Build dashboards, KPIs, and operational metrics that measure service performance, workload, employee experience, and operational efficiency.
• Architect and optimize the data layer powering operational reporting, ensuring it is performant, well-documented, and reusable.
• Perform data profiling, trend analysis, and root cause investigation to identify opportunities for process improvement.
• Design and implement automated data validation and monitoring to improve data quality, consistency, and reliability.
• Modernize legacy reporting and analytical workflows through automation and scalable solution design.
• Translate business requirements into intuitive visualizations and actionable insights for technical and non-technical stakeholders.
• Collaborate with Engineering and Product teams to improve data architecture, reporting capabilities, and system scalability.
• Establish best practices around data modeling, pipeline design, reporting standards, and analytics development.
• Communicate project progress, findings, and recommendations to stakeholders and senior leadership.
• Own data solutions throughout their lifecycle, ensuring they remain accurate, reliable, and aligned with evolving business needs.

Requirements

• Bachelor's degree or higher in Computer Science, Mathematics, Statistics, Information Systems, Data Analytics, or a related STEM discipline.
• 3+ years of experience building data engineering, business intelligence, or analytics solutions.
• Advanced SQL skills and experience working with large relational datasets.
• Strong Python development experience for data engineering, automation, and ETL workflows.
• Experience building scalable data models, pipelines, reporting solutions, and dashboard applications.
• Experience with Qlik Sense, Tableau, Power BI, or similar visualization platforms.
• Strong understanding of data quality, validation techniques, and operational reporting.
• Experience performing root cause analysis and translating findings into business recommendations.
• Ability to manage multiple projects, independently prioritize work, and deliver high-quality solutions.
• Excellent communication skills, with the ability to explain complex technical concepts to business stakeholders.

Technologies

• SQL
• Python
• Qlik Sense
• Tableau
• Power BI

Benefits

• Merit increases
• Incentive compensation (exempt roles only)
• Paid holidays
• Paid time off
• Medical
• Dental
• Vision
• Short and long term disability benefits
• 401(k) matching
• Life insurance
• Wellness programs