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Nezda Technologies, Inc. is seeking a Data Analytics professional to transform large datasets into actionable insights. You will build dashboards and reports for stakeholders, develop data solutions, and collaborate with business and technology teams.
The role requires 2+ years in data analytics, Python, SQL, AWS, and BI tools, with on-site training and a hybrid setup after training in Alabang/Muntinlupa area.
Join one of the largest and most recognized financial services and technology companies in the United States, known for its data-driven culture, innovation, and strong investment in analytics and technology.
Remote Setup Predominantly
Full onsite training for the first 3-6 months
After training: Work-from-home arrangement with only 1 RTO per month
Exposure to large-scale data, cloud technologies, and advanced analytics
Career growth in a global, data-centric organization
Analyze large volumes of structured and unstructured data to generate actionable business insights
Build dashboards, reports, and visualization tools for stakeholders
Develop data solutions, automation, and self-service reporting capabilities
Partner with business and technology teams to translate requirements into data-driven solutions
Monitor and improve data quality, governance, and reporting processes
Support risk management and strategic business initiatives through analytics
Please apply only if you meet the required technical skills below:
Bachelor's Degree in Statistics, Mathematics, Economics, Computer Science, Analytics, Engineering, or any related quantitative field
At least 2 years of Data Analytics experience
At least 2 year experience using Python
At least 2 year experience using SQL
At least 2 year experience using AWS
At least 2 year experience using Power BI or Tableau
Experience handling large datasets, data warehouses, and business reporting
Strong analytical and problem-solving skills
Experience in Agile, Lean, Six Sigma, or process improvement methodologies
Knowledge of data governance and data quality management
Master's Degree in a quantitative discipline is an advantage
Alabang, Muntinlupa
Training Schedule:
Night Shift during the first 3-6 months
Regular Schedule:
Mid Shift after training
Work Arrangement:
Full onsite during training
Hybrid setup after training with only 1 onsite day per month
This is an excellent opportunity for data professionals looking to work with modern analytics tools, cloud platforms, and enterprise-scale datasets while enjoying a highly flexible work arrangement after training.