Business Intelligence Analyst (AWS Data Lake & Redshift)
We are seeking a highly skilled and analytical Business Intelligence (BI) Analyst with expertise in Amazon Web Services (AWS) Data Lake and Redshift environments. The BI Analyst will be responsible for designing, developing, and maintaining BI solutions to support data-driven decision-making. The candidate will have experience in data modeling, ETL processes, dashboard development, and performance optimization.
Responsibilities
- Design, develop, and maintain BI dashboards and reports to visualize business insights.
- Work with large datasets in AWS Data Lake, Redshift, and other AWS data services.
- Optimize ETL processes using AWS Glue, Lambda, and Step Functions.
- Develop and maintain SQL queries for data extraction, transformation, and analysis.
- Ensure data integrity, consistency, and security within AWS environments.
- Collaborate with business stakeholders to understand requirements and translate them into BI solutions.
- Monitor and optimize Redshift clusters for performance and cost efficiency.
- Implement data governance best practices to ensure compliance with industry standards.
- Provide training and support to business users on BI tools and dashboards.
Required Qualifications
- Bachelor's degree in Computer Science, Data Analytics, Information Systems, or a related field.
- English fluency (minimum C1 level) is required, as department leads are located in France (Europe) and the USA.
- 3+ years of experience in business intelligence, data analysis, or a related field.
- Proficiency in SQL, Python, or other scripting languages for data manipulation.
- Hands‑on experience with AWS Redshift, AWS Data Lake, Glue, Athena, and related AWS services.
- Strong experience in data visualization tools such as Tableau, Power BI, or QuickSight.
- Knowledge of ETL tools and processes within AWS environments.
- Experience in performance tuning and optimization for AWS Redshift and large‑scale data warehouses.
- Strong analytical and problem‑solving skills with attention to detail.
- Excellent communication and interpersonal skills.
Preferred Qualifications
- AWS certifications (e.g., AWS Certified Data Analytics, AWS Solutions Architect).
- Experience with data lake architecture and data cataloging tools.
- Familiarity with machine learning or predictive analytics within AWS.
- Experience with version control and CI/CD practices for data pipelines.
Benefits
- Job Security: Secure a stable contract with excellent continuity opportunities within the project and organization.
- Make an Impact: Step into a key international department that plays a crucial role in our business's growth and success.
- Balanced Work-Life: Embrace our hybrid model, splitting your week with 2 days remote and 3 days in Sant Martí (Barcelona) office.
- Adaptable Schedule: Work a full‑time, Monday‑to‑Friday schedule with the flexibility to choose your start (between 7:00 AM and 9:30 AM) and end times (between 4:00 PM and 7:30 PM). Plus, enjoy the possibility of an early finish on Fridays (around 3:00 PM - 4:00 PM), provided your 40‑hour week is complete.
- Rewarding Compensation: We offer a salary that truly reflects your skills and contributions.
Additional Details
- Seniority level: Mid‑Senior level
- Employment type: Full‑time
- Job function: Analyst and Engineering
- Industries: IT Services and IT Consulting
#J-18808-Ljbffr