Senior Director, Solutions Engineering
iSpot.tv
Tableau
Data Analyst
Iron Mountain
full-time
Posted on:
Location Type: Hybrid
Location: Cluj-Napoca • 🇷🇴 Romania
Visit company websiteJob Level
JuniorMid-Level
Tech Stack
SFDCTableau
About the role
- Extract, clean, validate, and integrate data from diverse sources, ensuring data accuracy, integrity, and compliance with data governance policies
- Develop automated reporting workflows and dashboards that provide real-time, self-service access to key metrics for stakeholders
- Leverage advanced analytical techniques (statistical analysis, trend analysis, forecasting) to uncover insights and support predictive decision-making
- Translate complex data findings into clear visualizations and narratives tailored for business partners and executives
- Conduct root cause analyses on performance variances and recommend actionable solutions
- Build financial models and perform ROI analyses to evaluate strategic initiatives and business cases
- Lead collaborative requirement-gathering sessions with stakeholders; translate business needs into technical specifications
- Design and maintain performance measurement frameworks aligned with organizational goals and industry benchmarks
- Document business processes and analytics methodologies to support consistency and scalability
- Identify opportunities to optimize workflows through automation or process redesign
- Monitor KPIs to evaluate changes' impact on operational efficiency, employee engagement, and customer satisfaction
- Partner with cross-functional teams including DOC Support, Bids and Proposals, DOC Capabilities, IT, Sales, and Finance
- Serve as a trusted advisor to DOC teams by proactively identifying data-driven opportunities for growth and improvement
- Facilitate training and knowledge sharing to elevate data literacy across DOC and wider organization
- Stay current on industry trends, emerging analytics technologies, and best practices; advocate for ethical data usage and privacy compliance (e.g., GDPR, CCPA)
Requirements
- Mandatory fluency in English; preferred fluency in other international languages
- Bachelor’s degree in Data Analytics, Computer Science, Business Analytics, Business or related discipline
- 2-3 years of experience in data analysis, preferably in a corporate or global operational environment
- Expertise in interpreting complex data sets, spotting trends, and developing data-driven solutions
- Knowledge of data quality standards, security protocols, and regulatory compliance (e.g., GDPR, CCPA)
- Experience with scripting or no-code apps to automate repetitive data tasks (highly desirable)
- Excellent communication and storytelling skills; ability to tailor technical insights to non-technical audiences
- Proven success working across diverse global teams and multiple time zones
- Strong organizational and project management skills
- Expert-level skills for complex data querying and manipulation
- Proficient with BI and visualization tools such as Tableau, Power BI, Looker Studio, or equivalent
- Advanced skills in Google Docs, Sheets, Slides and Google Workspace; skilled in spreadsheet modeling, advanced formulas, pivot tables
- Experience in working and reporting on Salesforce.com
Benefits
- Competitive Total Rewards supporting your career, family, personal wellness, and wellbeing (Local benefits may vary based on country-specific policies.)
- Flexible remote/hybrid work and remote work options
- Embrace Flexibility: remote/hybrid work enabling work-life balance
- Professional development and abundant opportunities for personal and professional growth
- Global connectivity: connect with 26,000+ colleagues across 59 countries
- Inclusive culture that values diversity, individuality and belonging
- Support for reasonable accommodations for disabilities (accommodationrequest@ironmountain.com)
- Pioneering sustainability initiatives
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analysisstatistical analysistrend analysisforecastingfinancial modelingROI analysisdata queryingdata manipulationdata quality standardsautomation
Soft skills
communicationstorytellingorganizational skillsproject managementcollaborationproblem-solvingtrainingknowledge sharingadaptabilitystakeholder engagement
