Data Systems Analyst IV

At Iron Mountain we know that work, when done well, makes a positive impact for our customers, our employees, and our planet. That’s why we need smart, committed people to join us. Whether you’re looking to start your career or make a change, talk to us and see how you can elevate the power of your work at Iron Mountain.

We provide expert, sustainable solutions in records and information management, digital transformation services, data centers, asset lifecycle management, and fine art storage, handling, and logistics. We proudly partner every day with our 225,000 customers around the world to preserve their invaluable artifacts, extract more from their inventory, and protect their data privacy in innovative and socially responsible ways. 

Are you curious about being part of our growth stor​y while evolving your skills in a culture that will welcome your unique contributions? If so, let's start the conversation.

Data Systems Analyst IV

Iron Mountain Data Centers is looking to hire a driven Data Systems Analyst IV to join our global Data Enablement team. As a subject-matter-expert with a willingness to coach others, you will take responsibility for conducting the conversion of data into insights that will lead to informed business decisions with emphasis on application support, billing fulfillment, ad hoc data delivery, mentorship of data analysts, data pipeline quality assurance and completeness, fulfillment of business requests for BI reporting solutions, advancement of platform and usage/effectiveness metrics, and day to day troubleshooting and mitigation of data lifecycle issues, risks, etc. To succeed in this role, you will be deliberately focused on details, continuous process improvement, have knowledge of and experience supporting complex data solutions in a global environment, push to eliminate all single points of failure, along with a deep understanding of data and reporting, operational delivery, and platform process automation tools, techniques, and best practices.

Responsibilities:

• Lead, empower, delegate to, coach up, support, and enable Data Analysts for success

  
  

• Own and drive manual billing data capture and revenue coordination to completion every month

  
  

• Expand transactional processing capabilities and shift coverage to fulfill billing timelines/deadlines

  
  

• Eliminate single-points-of-failure; focus on change mgmt and continuous improvement

  
  

• Support the growth of manual data collection, aggregation, and processing of usage billing

  
  

• Take initiative to provide ongoing 24x7 operational break fix support for the data platform

  
  

• Execute discovery and delivery of data that supports complex (and urgent) ad hoc query requests

  
  

• Proactively identify, assess, and remediate data load and report generation issues

  
  

• Verify and ensure accuracy and completeness of data. Enable and maintain the data pipeline

  
  

• Assess and remediate issues in data loading, extraction, report generation, and application errors. 

  
  

• Ensure high data quality and emphasize master data tactics with data stewards

  
  

• Create and maintain BI outputs that track business metrics

  
  

• Devise, maintain and publish metrics that support inventory, telemetry, and KPI

  
  

• Advocate for increased adoption, usage, and data consumption

  
  

• Support advancement of ETL pipeline and BI capabilities across the platform

  
  

• Champion, support, and mature release management (push-to-prod) processes

  
  

• Advance and implement CI/CD capabilities and best practices

  
  

• Execute changes, deployments, communications, and training

  
  

• Document changes performed or data delivered in ServiceNow tickets on a daily basis

  
  

• Ensure platform/delivery applications are compliant with information security guidelines and policies

  
  

• Monitor and perform quarterly user access certification, maintain role based access, etc. 

  
  

• Advance business glossary with a holistic understanding of systematic data flows

  
  

• Provide guidance and support to peers and organizational staff in areas of data management

  
  

Key Skills, Requirements and Competencies:

• 8-10 years of demonstrated hands-on experience as a data or Systems Analyst

  
  

• 8-10 years of experience with T-SQL scripting; expert creating/managing tables, views, indexes, etc.

  
  

• 8-10 years of experience deploying reports, dashboards, and visualizations through SSRS or Tableau

  
  

• 8-10 years of ETL support, design, or development experience using Microsoft SSIS

  
  

• 8-10 years of experience supporting and maintaining job schedule automation tool(s)

  
  

• 6+ years of experience working with SQL Server 2016 and above 

  
  

• 4+ years of experience leading, empowering, delegating to, and coaching up data analysts

  
  

• Strong expertise using and supporting the Microsoft BI stack

  
  

• Expert in generating and debugging stored procedures and troubleshooting of complex joins

  
  

• Experience maintaining and delivering data and reporting via tools and platforms

  
  

• Strong understanding of database schema, object management, modeling and BIDW design

  
  

• Experience integrating APIs through SSIS or other integration frameworks into BIDW (e.g., CozyRoc)

  
  

• Professional certification with ITIL framework and associated processes

  
  

• Ability to influence the department's strategy.

  
  

• Makes decisions on moderately complex to complex issues 

  
  

• Work is performed proactively without direction

  
  

• Exercises considerable latitude in determining objectives and approaches to assignments

  
  

• Demonstrated experience working in high-pressure situations and complex global environments

  
  

• Self-motivated, highly adaptable, agile mindset, and driven to think out-of-the-box on a daily basis

  
  

• Participation in a 24x7 on-call support rotation

  
  

• Professional certification or degree in IT discipline or equivalent DWH hands-on experience

  
  

Category: Information Technology