Senior Security Data Analyst

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   Company Overview Milestone Technologies is a global IT managed services firm that partners with organizations to scale their technology, infrastructure and services to drive specific business outcomes such as digital transformation, innovation, and operational agility. Milestone is focused on building an employee-first, performance-based culture and for over 25 years, we have a demonstrated history of supporting category-defining enterprise clients that are growing ahead of the market.

The company specializes in providing solutions across Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and Service Now. Milestone culture is built to provide a collaborative, inclusive environment that supports employees and empowers them to reach their full potential.

Our seasoned professionals deliver services based on Milestone’s best practices and service delivery framework. By leveraging our vast knowledge base to execute initiatives, we deliver both short-term and long-term value to our clients and apply continuous service improvement to deliver transformational benefits to IT. With Intelligent Automation, Milestone helps businesses further accelerate their IT transformation. The result is a sharper focus on business objectives and a dramatic improvement in employee productivity.

Through our key technology partnerships and our people-first approach, Milestone continues to deliver industry-leading innovation to our clients. With more than 3,000 employees serving over 200 companies worldwide, we are following our mission of revolutionizing the way IT is deployed.

Job Overview Milestone Technologies is looking for a Senior Security Data Analyst to support data-driven decision-making on the team. The successful candidate must have experience in data analysis, the ability to think analytically, and the skills to optimize our delivery process. The data analyst must be proactive, results-driven, and detail-oriented; the candidate must thrive in a team environment and be able to work independently.

Service Scope:i. Establish and monitor the department’s primary data repositories, ensuring datasets remain authoritative, accurate, and structured for long-term usability.ii. Proactively audit complex security datasets to identify, investigate, and correct data inconsistencies, gaps, or logic errors across core tracking systems.iii. Design and execute structured data normalization workflows, blending disparate data streams from various enterprise tools (e.g., Asana, AODocs, Service Now, internal sheets) into a unified architecture.iv.

Document strict data lineage, tagging standards, and processing rules to provide complete audit traceability and compliance validation for all reported metrics.v. Design, build, and optimize enterprise-level security dashboards and performance tracking views using data visualization tools (e.g., Tableau, Looker Studio).vi. Synthesize complex data trends, operational velocities, and technical metrics into concise, data backed summaries and presentation-ready content for senior executive leadership.vii. Compile, validate, and organize historical data packages and KPI trends to feed directly into departmental Monthly Readouts and Quarterly Business Reviews (QBRs).viii.

Execute systematic data verification and compliance auditing processes to support internal controls oversight and risk management frameworks.ix. Manage, prioritize, and execute incoming ad-hoc data requests and deep-dive analytical queries from across the broader physical security organization within established turnaround windows.x. Collaborate logistically with Project Managers, Coordinators, and Technical Writers to gather accurate data inputs, validate cross-functional dependencies, and ensure metric integrity.xi.

Implement and support AI-driven data analysis workflows, utilizing modern generative AI tools andscripts to accelerate data cleansing, categorization, and pattern recognition.xii. Identify opportunities to automate manual data collection and reporting mechanics, continuously improving data pipeline efficiency and reducing timeto-insight.xiii. Build, deploy, or maintain custom low-code/nocode applications and automated workflows using

Google App Sheet, extending applications with custom scripting (e.g., Google Apps Script, Python) as required to facilitate webhooks, automated multisystem syncs, or automated trigger-based notifications.

Compensation…