- Location
- IND - IMS, India
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Source
- Workday
Description
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 story while evolving your skills in a culture that will welcome your unique contributions? If so, let's start the conversation.
Iron Mountain is seeking a vision-driven Lead Data Analytics to join our DSP IMCapture team.
In this role, you’ll play a key part in designing high-performance data pipelines and advanced analytics solutions that transform complex information into strategic business decisions. Working closely with our engineering teams, you'll have the opportunity to architect robust Google BigQuery infrastructure and Apache NiFi workflows that protect data integrity while optimizing operational performance. Here, your technical leadership and analytical expertise will directly help modernize our enterprise data foundation and drive financial precision across our platforms.
What You’ll Do (Responsibilities) In this role, you will:
Data Analysis & Dashboarding: Translate complex business requirements into technical specs, data models, and interactive visual reports using modern BI tools.
Data Ingestion & Orchestration: Build, configure, and optimize enterprise batch and streaming data pipelines using Apache NiFi while maintaining low latency.
Data Warehouse Optimization: Write advanced SQL queries, stored procedures, and views in Google BigQuery, leveraging partitioning and clustering strategies to balance performance and storage costs.
Data Reconciliation & Governance: Implement automated data auditing frameworks to detect anomalies, data drift, and missing values between source systems and the data warehouse.
What You’ll Bring (Skills & Qualifications) The ideal candidate will have:
10+ years of hands-on experience in Data Analytics, Data Reporting, or Data Engineering roles (12+ years overall professional experience preferred).
Strong knowledge of Google BigQuery performance tuning, advanced SQL, and Apache NiFi flow management.
Proven ability in building automated data reconciliation frameworks, exception handling, and managing high-volume transactional data.
Proficiency with Python for data manipulation and modern BI tools like Looker, Tableau, Power BI, or Superset.
A Bachelor’s degree; a Master’s degree in Computer Science, Business, or a related field is preferred.
