<p><strong>Position Summary:</strong></p><p>Drive and shape the organization’s overarching data and analytics strategy to deliver actionable insights that directly support critical business decision-making.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Develop and execute the company’s data and analytics roadmap to ensure reporting and analysis capabilities empower organizational objectives.</li><li>Remain abreast of industry trends, emerging technologies, and relevant external reports; synthesize and communicate key findings to the leadership team and stakeholders.</li><li>Lead all aspects of internal and external reporting, ensuring data outputs are accurate, comprehensive, auditable, and have clearly defined ownership.</li><li>Oversee creation and delivery of executive reports, frameworks, dashboards, and recurring presentations that provide actionable intelligence to senior leadership.</li><li>Align data priorities with senior leaders, offering consistent and proactive communication of project status, risks, dependencies, and critical trade-offs.</li><li>Establish rigorous procedures for intake, prioritization, and delivery of analytics projects—managing scope, timelines, and escalation as needed.</li><li>Foster a results-driven culture of accountability by actively monitoring and driving progress on key analytics initiatives.</li><li>Create and maintain robust governance and controls to ensure high-quality, efficient, and reliable reporting processes.</li><li>Standardize metrics and frameworks to ensure consistency and reliability across all reporting channels and business units.</li><li>Build, mentor, and lead analytics and reporting teams, including recruiting, coaching, and setting high performance and stakeholder engagement standards.</li><li>Partner cross-functionally to address data challenges, enable self-service analytics, and further automate and enhance reporting effectiveness.</li><li>Ensure stakeholder satisfaction and delivery of measurable business outcomes from data and analytics initiatives.</li></ul><p><strong>Minimum Qualifications:</strong></p><ul><li>Over 10 years of experience with advanced data analysis, relational databases, and enterprise analytics tools.</li><li>Advanced proficiency in database management, data extraction, analytics, and visualization technologies.</li><li>Demonstrated expertise in SQL, SSRS, SSIS, ETL processes, Excel, Python, and PowerPoint.</li><li>Experience with diverse data transformation, reporting, and analytics tools or programming languages.</li><li>Exceptional written and verbal communication skills; proven ability to present complex analytical insights to senior executives and cross-functional teams.</li><li>Strong organizational and project management skills; proven success managing multiple, concurrent projects.</li><li>Demonstrated leadership in team management, coaching, and talent development within analytics or reporting environments.</li><li>Experience overseeing high-stakes internal and external reporting commitments.</li></ul><p><strong>Preferred Qualifications:</strong></p><ul><li>Experience with additional data visualization and analytics platforms.</li><li>Thrives in fast-paced environments; maintains keen attention to detail under pressure.</li><li>Familiarity with compliance, regulatory, or governance requirements related to enterprise analytics and reporting.</li></ul><p><br></p>
Responsible for supporting legacy applications within our datacenter while also supporting the transition of critical workloads to the cloud. As part of a dynamic team, you will utilize cutting-edge technologies and best practices to ensure a seamless migration, high system availability, and optimal performance. You will work closely with cross-functional teams, manage complex configurations, and provide on-call support as part of a rotation schedule.<br><br>What Your Contributions Will Be<br>• Legacy System Support: Maintain and optimize Linux-based systems in an on-premises datacenter, troubleshoot issues, and ensure high availability and security of legacy applications.<br>• Configuration Management: Use Chef for configuration management and automation, including developing, deploying, and maintaining Chef cookbooks and custom scripts to automate processes.<br>• Cloud Migration: Support migration efforts of legacy applications to cloud platforms (AWS, Azure, or GCP), utilizing appropriate strategies such as lift-and-shift, replatforming, or refactoring for cloud-native architectures.<br>• Hyperconverged Infrastructure: Manage and maintain Nutanix clusters and hyperconverged infrastructure, optimizing performance and supporting scalable growth as part of datacenter modernization.<br>• Storage Solutions: Configure, maintain, and monitor Scality and other object storage solutions, handling data migration, replication, and backup within both on-premises and cloud environments.<br>• Monitoring and Incident Response: Monitor systems using tools like Splunk, DataDog, or ELK Stack; handle on-call incidents, document resolutions, and participate in post-incident reviews to improve response processes.<br>• Collaboration and Documentation: Work cross-functionally with developers, network engineers, and cloud architects; document infrastructure configurations and processes for both legacy and cloud environments.<br><br>What You Bring to the Team<br>• Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience).<br>• 5+ years in systems engineering, supporting on-premises and cloud-based environments.<br>• Proficient in Linux Systems Administration, with solid scripting experience in Bash, Python, or Ruby.<br>• Expertise with Chef for configuration management and automation; familiarity with Ansible or Terraform is a plus.<br>• Experience managing Nutanix hyperconverged infrastructure and virtualization principles.<br>• Strong understanding of object storage and Scality, including S3-compatible APIs, data migration, and lifecycle management.<br>• Solid networking knowledge, including TCP/IP, DNS, VPNs, VLANs, and firewall configuration.<br>• Experience with cloud providers (AWS, Azure, or GCP) and an understanding of hybrid and multi-cloud environments.<br>• Strong analytical and problem-solving skills, particularly in diagnosing complex systems in hybrid environments.<br>• Excellent communication and collaboration skills, with the ability to work cross-functionally and explain technical concepts to non-technical stakeholders.<br>• Self-motivated and proactive, with the ability to manage tasks independently and within an on-call rotation.
