Software Engineer - DEX Automation & Engineering

About Gartner IT

Join a globally recognized team of highly skilled engineers dedicated to designing and delivering innovative digital solutions that empower both our internal teams and valued clients. At Gartner IT, we foster a culture of relentless innovation, where outcomes drive success and transformative ideas emerge from every level of the organization. Our mission is to architect cutting-edge technology solutions that propel Gartner forward while maintaining operational excellence and fostering a collaborative, forward-thinking environment.

About the Role

This role is ideal for professionals with a background in Data & Analytics or Endpoint Engineering who possess the technical acumen to merge data-driven insights with automation, ultimately enhancing digital workplace experiences. As a key contributor, you will play a pivotal role in transitioning Gartner IT from a reactive support model to a proactive, prevention-focused approach. Your responsibilities will include identifying friction points, automating repetitive tasks, enabling efficient remediation processes, and designing communication campaigns that drive positive behavioral changes among employees while optimizing technology outcomes.

The position demands a sharp analytical mindset, proficiency in handling intricate datasets, and the ability to distill complex technical information into clear, compelling narratives. You will empower teams to understand current challenges, recognize their significance, and take informed, strategic actions to address them effectively.

What You’ll Do

Data & Analytics Engineering

• Design, develop, and maintain robust Digital Employee Experience (DEX) data pipelines leveraging Nexthink, NQL, Microsoft Intune telemetry, and automation outputs to ensure seamless data flow and accessibility.
• Create and maintain interactive dashboards and reporting solutions that transform raw digital workplace data into actionable insights, enabling data-driven decision-making across the organization.
• Clean, enrich, normalize, and validate datasets to ensure accuracy and reliability for downstream applications, including dashboards, data lakes, automation engines, and Digital Workplace teams.
• Conduct in-depth analyses to uncover patterns, anomalies, recurring issues, employee friction points, automation opportunities, and campaign potential, providing a foundation for continuous improvement.
• Develop reusable datasets, queries, dashboards, and executive summaries that support both operational efficiency and long-term strategic initiatives.

Automation Development

• Design, implement, and refine automation solutions using Python and PowerShell to streamline processes, enhance endpoint health, and minimize recurring help desk tickets.
• Facilitate seamless integrations between Nexthink, Intune, automation outputs, and other enterprise systems to ensure cohesive and efficient operations.
• Ensure automation solutions incorporate robust logging, validation, error handling, measurement, and rollback mechanisms to maintain reliability and accountability.

Insight Generation & Storytelling

• Translate complex analytical findings into concise narratives, intuitive visualizations, and actionable recommendations, enabling stakeholders to grasp key insights and take informed actions.
• Address critical operational questions, such as identifying issues, assessing their scope, determining impacted employees or devices, diagnosing root causes, and recommending strategic interventions with measurable success criteria.
• Collaborate on the design and execution of automation communication campaigns aimed at influencing employee behavior, reducing friction, and fostering a more efficient digital workplace.
• Analyze campaign results and employee response data to evaluate effectiveness and determine whether desired behaviors or outcomes have been achieved.

Collaboration & Continuous Improvement

• Work closely with Digital Workplace, Service Operations, and engineering stakeholders to align technical solutions with business objectives and address evolving needs.
• Monitor experience metrics proactively to identify emerging issues before they escalate, ensuring a consistently high-quality digital experience for all employees.
• Leverage AI-driven tools to assist with scripting, diagnostics, hypothesis generation, documentation, and resolution drafting, enhancing efficiency and innovation.

What You’ll Need

• 2-4 years of hands-on experience in Data Analytics, Data Engineering, Endpoint Engineering, Automation Engineering, or a closely related technical field.
• Strong proficiency in Python and/or PowerShell scripting, with a proven ability to develop scalable and maintainable automation solutions.
• Experience in building dashboards, reporting solutions, data pipelines, and end-to-end analytics workflows to support data-driven decision-making.
• Exceptional analytical skills, with the ability to dissect complex datasets and translate findings into clear, actionable recommendations for diverse audiences.
• Familiarity with Digital Workplace technologies, endpoint management, DEX telemetry, Microsoft Intune, or comparable enterprise solutions.
• Prior exposure to Nexthink, NQL, Intune telemetry, endpoint management platforms, or similar Digital Experience (DEX) tools is highly advantageous.

Who You Are

• A dynamic and articulate communicator who can convey technical concepts to both technical and non-technical stakeholders with clarity and confidence.
• A proactive problem-solver with a passion for innovation and a commitment to driving continuous improvement in digital workplace experiences.
• A collaborative team player who thrives in a fast-paced, dynamic environment and values cross-functional partnerships to achieve shared goals.
• A detail-oriented professional with a strong sense of accountability, ensuring that solutions are not only effective but also sustainable and scalable.