Contribute to the design, development, and documentation of data and analytics solutions
Develop, maintain, and optimize scalable data pipelines and ETL/ELT workflows across cloud-based data platforms such as Snowflake, Azure, and Databricks, using SQL and Python for data transformation, validation, integration, and preparation for downstream reporting and applications.
Support the development of business intelligence (BI) dashboards, reports, and analytical applications using Power BI and related visualization tools to enable business insights and decision-making.
Participate in AI automation and intelligent workflow initiatives, including workflow orchestration, automation scripting, and development of internal tools using platforms such as n8n, Streamlit, Python, and AI-enabled technologies to improve operational efficiency.
Collaborate with cross-functional stakeholders to gather business requirements, troubleshoot data-related issues, and translate operational needs into technical and analytical solutions.
Assist in data modelling, data quality management, performance tuning, and continuous improvement of analytics and reporting environments.
Support deployment, testing, monitoring, and maintenance of data and analytics solutions across cloud and hybrid environments.
Job Requirements (Qualifications & Experience)
Strong analytical thinking, problem-solving, and troubleshooting skills, with the ability to understand end-to-end data flows and translate business requirements into technical solutions.
Hands-on experience or strong foundational knowledge in SQL and Python programming for data processing, automation, analytics, and reporting.
Fundamental understanding of data analytics, data engineering, cloud data platforms, ETL/ELT concepts, and machine learning / AI concepts.
Exposure to or experience with Snowflake, Databricks, Microsoft Azure, and Power BI is highly preferred.
Available to commit to a full-time role for 5–6 months.