Enterprise Data Analyst Senior Manager

About the job Enterprise Data Analyst Senior Manager

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:

• Manage a team of Data Analysts Internal Consultants.
• Lead them into the optimal problem-solving direction through critical analysis and evaluation of problems at hand.
• Ensure the team of Data Analysts utilizes diverse perspectives in developing solutions.
• Present crafted solutions and proposals to stakeholders and other analysts' teams.
• Build a collaborative culture in the Data Analyst team.
• Mentor the team in their approaches to analytics problem-solving, as well as soft skills.
• Analyze current subordinates' performances through KPIs and metrics, then develop methodologies to improve KPIs in the workforce procedures.
• Distinguish important and unimportant approaches in data-based problem-solving.
• Resolve conflicts and manage issues between the teams and other departments.
• Understand business requirements from users, analyze these findings, and define the data solutions.
• Identify, analyze, and interpret patterns in complex data sets to investigate issues, find root causes, and propose solutions.
• Create and maintain optimal data analysis scripts.
• Identify opportunities for automation, efficient data collection, smarter analytics, enhanced visualization, and other technical strategies to optimize reporting efficiency and quality.
• Assemble large, complex data sets that meet functional/non-functional business requirements.

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.
• Experience with the following software/tools: 1. Database (Relational & NoSQL): BigQuery, MySQL, SQL Server, PostgreSQL; 2. Data pipeline and workflow management tools: Airflow.
• Exposure to working in finance and accounting processes is a plus.
• Experience gathering and analyzing system requirements.
• In-depth understanding of database structure principles, data warehousing, and data mining concepts.
• Experience with cloud computing platforms.
• Experience in big data analytics solutions, architectures, and data sets.