Data Analyst
Skills
Microsoft AzureSoftware As A ServiceAPIAmazon Web ServicesDashboardsData AnalyticsData Science
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Proven experience building and managing DOMO dashboards dataflows connectors and datasets
- Experience working with SaaS-based analytics platforms and usage data
- Skilled in extracting and consolidating data from Pega Adobe APIs and public sources
- Advanced SQL proficiency and strong understanding of visualization best practices
- Hands-on experience with Python or R for analytics modelling and automation
- Knowledge of AI ML frameworks for predictive and prescriptive insights
- Experience designing scalable ETL ELT pipelines using modern tools and frameworks
- Familiarity with AWS Redshift Athena S3 or Azure Synapse Data Lake ADF
- Understanding of GDPR PII and secure data management principles
- Strong data storytelling skills for technical and non-technical audiences
- Proven ability to collaborate effectively with engineers developers and business leaders
- Minimum 5+ years of experience in data analytics BI or data science
Nice to have
- Analytical
- Collaborative
- Detail-oriented
- Data-driven
- Stakeholder-facing
- Problem-solving
Day to day
- Design and develop DOMO dashboards that deliver live and scheduled business insights.
- Extract, transform, and integrate data from SaaS platforms APIs Pega Adobe and public data sources.
- Apply data science and AI techniques to uncover trends improve forecasting and support decision-making.