Analyst IT BI

Data & Analytics Operations Engineer plays a critical role in maintaining and supporting our systems and tools used for data analysis, reporting and decision-making. They ensure that Data & Analytics Platforms runs smoothly, troubleshoot issues and help end-users get the most out of Data & Analytics tools.

Key Responsibilities

• System Maintenance and Monitoring: Managing the smooth operation of BI platforms, implementing updates, and overseeing the performance and health of BI systems and pipelines.

• Troubleshooting and Issue Resolution: Identifying and resolving issues with Data & Analytics reports, dashboards, or data connections from end-to-end (from source systems down to Data & Analytics data products).

• Data Integration and ETL Support: Helping integrate various data sources and provide first and second level support to ensure ETL (Extract, Transform, Load) processes in both On-Prem and Cloud environment run without errors

• Collaboration with IT Teams: Working closely with developers, database administrators, and data engineers to ensure data pipelines are robust and reports are accurate.

• Documentation: Creating documentation for troubleshooting procedures, system configurations, and user guides.

Qualifications & Experience

• University degree in Computer Sciences or a similar field of studies

• Minimum of 4 years hands-on experience working within Azure ecosystem

• Ideally accomplished MS course DP-203 (Date Engineering)

Technical Expertise

• Proficient in Azure BI Services such as Azure Synapse Analytics (including SQL Pools, Synapse Pipelines; Apache Spark for Synapse, Synapse Studio)

• Experience in managing Azure Functions, Azure App Service Plans.

• Knowledgeable coding in Python; PySpark; Spark SQL

• Strong command of  TSQL and managing relational data.

Operational Skills

• Experienced in efficient ticket management and prioritization to deliver timely resolutions to user inquiries and technical issues.

• Demonstrates resourcefulness and flexibility in problem-solving.

Soft Skills

• Excellent communication skills, both written and verbal.

• Willingness to work flexible or shifting schedules as required.

• Ability to work effectively in a multicultural, team-oriented environment.