BI Admin

Must have:

· Strong hands-on experience with Apache Spark for data processing and analytics.

· Strong hands-on experience with BI tools such as Power BI, Tableau, QlikSense, or similar platforms.

· Understanding of BI architecture, including data modeling, report creation, and performance tuning.

· Proficiency in SQL for querying and managing data sources.

· Experience connecting BI tools to databases like MySQL, PostgreSQL, SQL Server, or Oracle.

· Knowledge of managing BI server infrastructure, including backups, monitoring, and upgrades.

· Experience with user management and access control.

· Understanding of data security, encryption, and compliance requirements (e.g., GDPR, HIPAA).

· Familiarity with role-based access control (RBAC) and auditing practices.

· Strong problem-solving and troubleshooting abilities.

· Effective communication skills for working with technical and non-technical stakeholders.

· Ability to manage and prioritize multiple tasks in a fast-paced environment.

· Knowledge of cloud BI solutions like Azure Synapse, AWS QuickSight, or Google Looker.

What You'll Do:

· Manage and maintain the Business Intelligence (BI) platform to ensure uptime, reliability, and performance.

· Perform system configuration, upgrades, and patch management for BI tools.

· Monitor and optimize the performance of BI dashboards, reports, and underlying data sources.

· Administer user roles, permissions, and access to BI tools and data sources.

· Ensure compliance with data security and governance policies.

· Provide support for user onboarding and troubleshooting access issues.

· Oversee the development, deployment, and maintenance of BI dashboards and reports.

· Ensure reports are aligned with business requirements and are optimized for performance.

· Provide guidance on best practices for report and dashboard design.

· Establish and maintain connections between BI tools and various data sources (e.g., databases, data lakes, APIs).

· Ensure seamless data flow and implement data refresh schedules.

· Collaborate with data engineers to ensure data accuracy and consistency.

· Monitor BI platform performance, usage, and data refresh cycles.

· Troubleshoot issues with BI tools, including data connectivity, performance, and user access.

· Implement monitoring tools to detect and resolve issues proactively.

· Collaborate with data analysts, developers, and business stakeholders to support their BI needs.

· Document platform configurations, processes, and troubleshooting guides.

Good to have:

· Experience with big data ecosystems like Hadoop, Hive, or HBase.

· Experience with ETL tools like Informatica, Alteryx, or Talend.

· Familiarity with big data technologies such as Hadoop, Spark, or Kafka.

· Knowledge of cloud BI solutions like Azure Synapse, AWS QuickSight, or Google Looker.

· Basic knowledge of scripting languages like Python, Shell, or R for automation or advanced analytics.

· Experience with monitoring tools like Prometheus, Datadog, or Grafana.

· Hands-on experience with automating BI workflows and processes.

· Knowledge of advanced data visualization techniques and storytelling with data.

· Experience in predictive analytics or machine learning integration with BI tools.

· Relevant certifications such as Tableau Server Certified Associate, Microsoft Certified: Data Analyst Associate, or similar.

· Cloud platform certifications related to BI tools (e.g., AWS Data Analytics, Azure Data Fundamentals).