Analytics Engineer, Employee Technology Support
Location New York
Business Area Engineering and CTO
Ref # 10052660
Description & RequirementsWhat's the role?
As an integral member of the Employee Technology Support (ETS) team, you will go beyond collecting and reporting data to build the data foundation that improves support operations through engineering, automation, and scalable analytics. You will design the pipelines, data models, and reporting platforms that turn raw operational data into trusted, decision-ready information across the organization.
We are looking for an Analytics Engineer who combines strong engineering fundamentals with business acumen and excellent communication skills. You will partner closely with Employee Technology Support, Engineering, Product, and business stakeholders to understand operational challenges and translate them into robust, scalable data solutions.
You will design and maintain data models, ETL pipelines, and business intelligence applications that support critical operational datasets. This includes building automated data flows and reporting, developing intuitive dashboards, improving data quality, modernizing legacy workflows, and creating monitoring frameworks that ensure data accuracy, consistency, and reliability.
Your work will enable analysis of complex support datasets, surfacing trends and root causes, supporting key performance indicators, and delivering insights that improve operational efficiency, employee experience, and strategic decision making.
You will be encouraged to work independently, own solutions end to end, understand the broader business context, and collaborate across multiple teams to deliver high-impact data products. You simplify complex problems, build scalable solutions, and clearly communicate the business impact of your work. In this role you will take ownership of the key data platforms, pipelines, reporting frameworks, and operational datasets that support Employee Technology Support globally.
We'll trust you to
- Partner with Employee Technology Support teams to understand operational challenges and design scalable data solutions.
- Build and maintain robust data models, ETL pipelines, and automated data flows using SQL, Python, and Qlik Sense.
- Develop insightful dashboards, KPIs, and operational metrics that measure service performance, workload, employee experience, and operational efficiency.
- Architect and optimize the data layer that powers 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.
You'll need to have
- 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.
We'd love to see
- Advanced Qlik Sense dashboard development and KPI framework design.
- Experience working with IT Service Management (ITSM) platforms, ServiceNow, SDSK, or enterprise support data.
- Experience designing enterprise reporting frameworks and operational scorecards.
- Knowledge of data governance, metadata management, and reporting standards.
- Experience automating manual reporting and data processes using Python.
- Experience supporting operational analytics within Employee Technology or enterprise IT organizations.
- Demonstrated ability to improve operational efficiency through automation, engineering, and scalable data solutions.
Salary Range = 110,000 - 130,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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