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Manager, Analytics

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💎 Seniority level: Manager, 3+ years

📍 Location: Australia

🔍 Industry: Software Development

🏢 Company: Avetta, LLC

🗣️ Languages: English

⏳ Experience: 3+ years

🪄 Skills: LeadershipPostgreSQLSQLAgileBusiness IntelligenceETLMySQLSnowflakeCommunication SkillsProblem SolvingData visualizationData modelingData analytics

Requirements:
  • Deep expertise in SQL, including writing complex queries and performance tuning.
  • Extensive hands-on experience with multiple reporting and BI tools such as Jasper Server, MicroStrategy, Sisense, SQL Server Reporting Services (SSRS), Power BI etc .
  • Extensive hands-on experience with multiple database platforms such as MySQL, Postgresql, Snowflake.
  • 3+ years in a BI/Analytics management or senior/lead BI developer role within a software development company.
  • Experience architecting and supporting distributed BI systems/cloud analytics solutions.
  • Strong understanding of data warehousing principles, data modeling (star/snowflake schemas), and data governance.
  • Proven success managing multiple projects with Agile methodologies, especially involving large data sets and complex reporting requirements.
  • Excellent interpersonal and communication skills, with a demonstrated ability to translate technical work into business value for non-technical audiences.
Responsibilities:
  • Lead, mentor, and develop a team of BI and analytics professionals, including guidance on best practices for data modeling, ETL, and reporting.
  • Collaborate with product managers, business units, and stakeholders to gather and clarify BI requirements and to translate them into scalable technical solutions.
  • Architect, enhance, and support data warehouses and analytic data marts, primarily utilizing Jasper Server, Power BI and Snowflake.
  • Oversee the design, implementation, and optimization of ETL processes to ensure the accuracy and timeliness of data integrations from multiple sources.
  • Ensure projects are tracked in JIRA, with thorough code reviews, data quality checks, and UAT/testing prior to deployment.
  • Facilitate Agile ceremonies, including sprint planning, daily stand-ups, and retrospectives for the BI and Analytics team.
  • Drive continuous improvement in BI processes, adoption of new tools/technologies, and foster a culture of data quality and governance.
  • Troubleshoot and resolve data issues, working with engineering and business teams as needed to remove blockers.
  • Ensure smooth collaboration with engineering, infrastructure, and business analysts to provide actionable BI solutions across teams.
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