Enterprise Data Analyst

Enterprise Data Analyst - Talent Insider | Career Page

Enterprise Data Analyst

Central Jakarta, Jakarta, Indonesia

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Job Openings Enterprise Data Analyst

About the job Enterprise Data Analyst

About the Company

Talent Insider is an upcoming HR Consultancy Service, founded in 2021. Our clients have been some of the leading brands in Indonesia, and this service continues to expand.

Registered in Singapore & Indonesia, we can assist with your growth plans and strategies, and continue to expand our regional presence with strong regional partners to assist our client in recruitment and branding strategy.

Job Description

• Manages A Team Of Data Analysts Internal Consultants.
• Lead Them Into The Optimal Problem-solving Direction Through Critical Analysis And Evaluation Of Problems In Hand.
• Ensures Team Of Data Analysts Utilizes Diverse Perspectives In Developing Solutions.
• Presenting Crafted Solutions And Proposals To Stakeholders And Other Analysts' Teams.
• Builds A Collaborative Culture In The Data Analyst Team.
• Mentor The Team In Their Approaches To Analytics Problem-solving, As Well As Soft Skills.
• Analyse Current Subordinates' Performances Through KPIs And Metrics, Then Develop Methodologies To Improve KPIs In The Workforce Procedures.
• Distinguishing Important And Unimportant Approaches In Data-based Problem-solving.
• Resolves Conflicts And Manage Issues Between The Teams And Other Departments.
• Understand Business Requirements From Users, Analyze These Findings, And And Define The Data Solutions.

Job Requirements

• At least 14+ years of experience in a Data Analytics role.
• Degree in Computer Science, Statistics, Informatics, Information Systems, Mathematics or another quantitative field.
• Passionate and knowledgeable about big data stacks.
• Have experience in following software/tools:
• Database (Relational & NoSQL): BigQuery, MySQL, SQL Server, PostgreSQL,
• Data pipeline and workflow management tools: Airflow
• Exposure working in finance and accounting processes is a plus.
• Experience gathering and analyzing system requirements.
• In-depth understanding of database structure principles, data warehousing, data mining concepts.

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