Analytics Lead (Entertainment Market)

Jobstreet Malaysia; Selangor; On-site; MYR 90,000 - 120,000; Full time

Job summary

A leading analytics company located in Selangor, Malaysia, is seeking an experienced Analytics Lead to develop data-driven strategies for audience engagement and monetization in the entertainment market. This role involves leading a team, establishing KPIs, and transforming data into actionable insights using advanced analytics tools such as Tableau and Power BI. Ideal candidates will have a strong background in analytics, leadership experience, and proficiency in SQL and Python, alongside knowledge of the entertainment industry.

Qualifications

• Minimum 6 years of experience in analytics roles.
• At least 2 years in a leadership or team management position.
• Prior experience in the entertainment industry is highly desirable.

Responsibilities

• Lead and mentor an analytics team.
• Transform raw data into meaningful insights.
• Implement machine learning models to forecast audience growth.
• Ensure data integrity and compliance with regulations.

Skills

SQL

Python

R

Data visualization

Data analysis

Team leadership

Stakeholder management

Education

Bachelor’s or Master’s degree in Data Science, Statistics, Economics, Business Analytics, or a related field

Tools

Tableau

Power BI

Looker

AWS

GCP

Azure

Job description

Overview

Develop and implement a data‑driven strategy for analyzing audience engagement, content performance, and monetization opportunities in the entertainment market.

Responsibilities

• Lead, mentor, and develop a small analytics team, fostering a collaborative environment focused on continuous improvement and innovation.
• Establish KPIs and metrics to measure success across platforms, campaigns, and content categories.

Data Insights & Visualization

• Transform raw data into meaningful insights using tools such as Tableau, Power BI, or Looker.
• Provide real‑time dashboards and regular reports to stakeholders for decision‑making purposes.
• Identify trends, consumption patterns, and revenue growth opportunities within the entertainment ecosystem.

Predictive Analytics & Advanced Modeling

• Implement machine learning models to forecast audience growth, churn, and content demand.
• Conduct A/B testing and audience segmentation to drive personalization and optimize user experience.
• Partner with data engineers and scientists to build predictive models for monetization and advertising effectiveness.

Stakeholder Collaboration

• Collaborate closely with marketing, content, product, and sales teams to align insights with strategic initiatives.
• Present findings and recommendations to executive leadership in clear, actionable terms.
• Serve as the subject‑matter expert for analytics in the entertainment domain.

Data Governance & Quality

• Ensure data integrity, security, and compliance with regulations such as GDPR or PDPA.
• Define and enforce data collection standards and best practices across all entertainment channels.

Qualifications & Skills

• Bachelor’s or Master’s degree in Data Science, Statistics, Economics, Business Analytics, or a related field.
• Minimum 6 years of experience in analytics roles, with at least 2 years in a leadership or team management position, ideally leading small, cross‑functional teams.
• Prior experience in the entertainment industry (e.g., streaming, gaming, media) is highly desirable.
• Proficiency in SQL, Python, R, or other analytics programming languages.
• Expertise in data visualization tools (Tableau, Power BI, Looker) and cloud platforms (AWS, GCP, Azure).
• Strong knowledge of audience measurement metrics (e.g., impressions, engagement, retention, ARPU).
• Demonstrated ability to coach, mentor, and develop talent within a team environment.
• Excellent communication and stakeholder management skills.