Job Specifications
Job Title: Data Analyst: Customer and Usage Experience
Job Type: Freelance
Location: Brussels, Belgium
Work regime: Hybrid
Keywords: SQL, Python and Power BI.
Sector: our client is a prominent telecommunications company known for its extensive network infrastructure and comprehensive range of services. It provides innovative solutions in internet, mobile, and television communications, catering to both residential and business customers
What you'll do:
Within the Customer & Usage Experience squad, we are committed to enhancing the experience of clients' customers by big data using cutting-edge tools and technologies.
As a data analyst, you will play a key role in identifying new customer & usage experience insights through innovative methods, models, and impactful visualizations, with the objective of driving meaningful improvement initiatives.
You will collaborate closely with BI specialists, data scientists, and big data experts to tackle challenges and achieve measurable results.
What you bring:
• Hands-on coding experience with SQL and Python (experience with PySpark is a plus).
• Proficient in creating in Power BI visualizations (knowledge of DAX is a plus).
• Experienced with traditional relational databases on-premises, as well as with big-data environments and cloud technologies such as Azure, Cloudera, Hadoop, and Teradata.
• Skilled in statistical analysis techniques (e.g., multinomial confidence intervals, correlations, data reduction, clustering, segmentation, Bayesian algorithms, hierarchical regressions, machine learning).
• Capable of translating business needs into analytical requests and effectively communicating technical results to non-technical stakeholders through clear and appropriate visualizations.
• Result-oriented, with a proven ability to transform data into actionable insights that create business value.
• Responsible, result-driven, and passionate about data; a team player who continuously seeks creative solutions and who can also work independently towards high-quality results.
• Master’s degree in computer science, applied mathematics, or statistics, with programming experience.
• Minimum of 2 years of relevant work experience.
• Fluent in Dutch and/or French (mandatory) and English.
• Knowledge of telecommunications and experience with data pipelines creation/maintenance is a plus.
A little about us:
Innova Solutions is a diverse and award-winning global technology services partner. We provide our clients with strategic technology, talent, and business transformation solutions, enabling them to be leaders in their field.
Founded in 1998, headquartered in Atlanta (Duluth), Georgia.
Employs over 50,000 professionals worldwide, with annual revenue approaching $3.0B.
Delivers strategic technology and business transformation solutions globally.
Operates through global delivery centers across North America, Asia, and Europe.
Provides services for data center migration and workload development for cloud service providers.
Awardee of prestigious recognitions including:
Women’s Choice Awards - Best Companies to Work for Women & Millennials, 2024
Forbes, America’s Best Temporary Staffing and Best Professional Recruiting Firms, 2023
American Best in Business, Globee Awards, Healthcare Vulnerability Technology Solutions, 2023
Global Health & Pharma, Best Full Service Workforce Lifecycle Management Enterprise, 2023
Received 3 SBU Leadership in Business Awards
Stevie International Business Awards, Denials Remediation Healthcare Technology Solutions, 2023
About the Company
Founded in 1998 and headquartered in Atlanta (Duluth), Georgia, Innova Solutions along with its subsidiaries employs over 50,000 professionals worldwide and reports an annual revenue approaching $3.0B. Through global delivery centers across North America, Asia, and Europe, Innova Solutions delivers strategic technology and business transformation solutions to its clients, enabling them to operate as leaders within their fields. Whether it is onboarding a new service, embracing a new consumer device or rolling out a Business ...
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