This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Data Extraction and Manipulation: Extract, clean, transform, and load data from various sources, including Oracle DWH and Amazon Redshift, using tools like SQL and Alteryx
Data Analysis and Interpretation: Analyse large datasets to identify trends, patterns, and insights that can drive business decisions
Report and Dashboard Development: Design, develop, and maintain interactive and insightful reports and dashboards using PowerBI to visualize key performance indicators and business metrics
Business Requirements Gathering: Collaborate with stakeholders from different business units to understand their data and reporting needs, translating them into actionable analytical solutions
Collaboration with Enterprise Application Teams: Partner with enterprise application teams to understand data flows, data quality, and ensure data integrity for reporting and analysis
Ad-hoc Analysis: Conduct ad-hoc data analysis to answer specific business questions and provide timely insights
Data Quality Assurance: Participate in data quality initiatives to ensure the accuracy and reliability of data used for analysis and reporting
Documentation: Create and maintain clear and concise documentation for data sources, analytical processes, reports, and dashboards
Presentation of Findings: Communicate analytical findings and recommendations effectively to business stakeholders through presentations and reports
Continuous Improvement: Identify opportunities to improve data analysis processes, reporting methodologies, and the utilization of analytical tools
Documentation: Develop and maintain documentation for data workflows, platform configurations, and operational processes
Compliance: Adhere to and enforce data security policies and compliance requirements for the data warehouse environments
Requirements:
Bachelor's degree in a quantitative field such as Business Analytics, Data Science, Statistics, Economics, Computer Science, or a related discipline
Minimum of 5-8 years of experience as a Data Analyst or in a similar role
Strong proficiency in SQL and experience querying relational databases, particularly Oracle DWH and Amazon Redshift
Hands-on experience with data visualization tools, with a strong preference for PowerBI
Proven experience using Alteryx for data preparation, blending, and advanced analytics
Excellent analytical and problem-solving skills with the ability to interpret complex data and translate it into actionable insights
Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences
Ability to work independently and collaboratively in a fast-paced environment, managing multiple priorities
Experience working with diverse business units and understanding their unique data needs is highly desirable
A proactive and results-oriented mindset with a strong attention to detail
Excellent analytical, problem-solving, and troubleshooting skills
Strong communication and collaboration skills, with the ability to work effectively in a team environment
Nice to have:
Familiarity with cloud platforms such as AWS, Azure, or GCP
Exposure to data lake concepts and technologies (e.g., AWS S3, Apache Spark, Hadoop) is a plus
Familiarity with enterprise application data (e.g., ERP, CRM, SCM) is a plus
Experience with other tools like Tableau is a plus
Knowledge of data governance, security, and compliance practices
Experience working effectively in a global, matrixed organization
Ability to drive outcomes in a highly complex matrix environment which is often amorphous
Foster a culture of accountability, collaboration, innovation, and customer focus
Continuously upskill the team to stay aligned with evolving technology trends and business needs