IDEMIA is the global leader in identity and security. Our mission is to create a safe and simple future where identity verification is indisputable, and only you can assert your identity. We are a distributed company leveraging the latest technologies to deliver world-class products in the private and public sectors of finance, telecom, identity, security, retail, sports entertainment, commercial, government, and IoT. We use a variety of technologies and approaches to deliver quality product and services to government agencies and technology companies. IDEMIA is a made up of a group of 14,000 diverse people from different nationalities, speaking over 20 different languages. Together, our solutions impact the everyday lives of citizens and nations. In this ever-changing world, protecting your identity is paramount. Join the team that is ensuring one person- one identity.
- Develop and maintain interactive dashboards and reports using Amazon QuickSight
- Create data visualizations that effectively communicate identity analytics insights to stakeholders
- Perform exploratory data analysis to identify trends, patterns, and anomalies in identity data
- Write and optimize SQL queries to extract and analyze data from Amazon RedShift
- Collaborate with customers to understand reporting requirements and translate them into technical specifications
- Conduct data quality assessments and validation checks on incoming datasets
- Support basic data transformation tasks and assist with ETL pipeline testing
- Create and maintain documentation for reports, dashboards, and analytical processes
- Provide training and support to end users on QuickSight dashboard functionality
- Assist with ad-hoc data analysis requests from internal teams and customers
- Monitor dashboard performance and troubleshoot visualization issues
- Participate in requirements gathering sessions with customers and stakeholders
Required Technical Skills:
- **Business Intelligence & Visualization:**
- Amazon QuickSight (dashboard creation, data source management)
- Data visualization best practices and design principles
- Understanding of KPIs and metrics for identity systems
- **Data Analysis:**
- SQL (intermediate level) - joins, aggregations, window functions
- Basic statistical analysis and data interpretation
- Excel/Google Sheets for data manipulation and analysis
- **AWS Services (Basic):**
- Amazon S3 for data access and file management
- Amazon RedShift for data querying
- Basic understanding of AWS data ecosystem
Required Experience:
- 2-4 years of experience in business intelligence, data analysis, or related field
- Experience creating dashboards and reports using BI tools
- Background in SQL and data querying
- Experience working with stakeholders to gather requirements
- Knowledge of data visualization principles and best practices
Desired Skills:
- Experience with Amazon QuickSight or similar cloud BI platforms
- Familiarity with identity management concepts and terminology
- Basic understanding of data warehousing concepts
- Experience with government or regulated industry reporting
- Knowledge of data privacy and security considerations
- Familiarity with Agile development methodologies
- Experience with Python or R for data analysis
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