Head of Advisory - Data Analytics

IlmuOne Data; Daerah Khusus Ibukota Jakarta; On-site; USD 30.000 - 60.000; Full time

Job summary

A prominent data-driven company seeks a Data Analytics Leader to define and execute the analytics strategy. This role requires extensive experience in data analytics, proven leadership abilities, and the capacity to align data solutions with business objectives. The successful candidate will serve as an advisor to the executive team and lead a skilled analytics team, driving innovation and ensuring high-quality deliverables.

Qualifications

• 5-10 years of experience in relevant fields.
• Proven track record in leading complex analytics projects.
• In-depth knowledge of analytics methodologies and tools.

Responsibilities

• Define and execute the data analytics strategic vision.
• Lead and manage a team of data analytics professionals.
• Provide actionable insights and recommendations based on data.

Skills

Data Analytics

Business Intelligence

Consulting

SQL

Python

R

Data Visualization

Cloud Platforms

Communication

Leadership

Education

Bachelor’s degree in Data Analytics, Data Science, Computer Science, Business, Statistics or related field

Master’s degree preferred

Tools

Tableau

Power BI

AWS

Azure

GCP

Job description

Job Requirements:

• Bachelor’s degree in Data Analytics, Data Science, Computer Science, Business, Statistics, or a related field. A Master’s degree is highly preferred.
• At least 5-10 years of experience in data analytics, business intelligence, or consulting, with a proven track record in leading and delivering complex analytics projects.
• In-depth knowledge of analytics frameworks, methodologies, and tools such as SQL, Python, R, or similar programming languages.
• Proficiency in data visualization platforms (e.g., Tableau, Power BI).
• Strong understanding of big data technologies, data architecture, and cloud platforms (e.g., AWS, Azure, GCP).
• Strong understanding of business processes and the ability to align analytics solutions with business objectives.
• Proven ability to influence and guide senior stakeholders using data-driven insights.
• Excellent communication, presentation, and interpersonal skills to convey complex data insights in an understandable manner.
• Demonstrated ability to lead, mentor, and motivate high-performing teams. Exceptional problem-solving, critical-thinking, and decision-making abilities.

Key Responsibilities

• Define and execute the strategic vision for the data analytics function, ensuring alignment with overall business objectives.
• Serve as a trusted advisor to the executive team and clients, providing actionable insights and recommendations based on data analytics.
• Lead and manage a team of data analytics professionals, fostering skill development and ensuring high-quality deliverables.
• Build a culture of collaboration, innovation, and continuous learning within the analytics team.
• Act as a subject matter expert for clients and internal teams, guiding decision-making processes with data-driven strategies.
• Translate business problems into structured analytics solutions and oversee their execution.
• Oversee the design, development, and implementation of advanced analytics projects, ensuring they are delivered on time and within scope.
• Ensure that analytics projects provide measurable value and insights to the organization or clients.
• Collaborate with internal stakeholders and external clients to understand their analytics needs and provide customized solutions.
• Develop and enforce data governance frameworks and ensure compliance with regulatory and security standards.
• Collaborate with IT and data engineering teams to ensure data integrity and reliability.
• Keep up to date with the latest trends, technologies, and best practices in data analytics.
• Drive innovation in analytics methods, tools, and processes to enhance organizational capabilities.
• Establish and monitor KPIs to measure the effectiveness and impact of analytics initiatives.
• Continuously refine and optimize analytics processes to ensure efficiency and scalability.