Senior Analyst - Advanced Analytics

STARZPLAY; Lahore; On-site; PKR 2,000,000 - 2,750,000; Full time

Job summary

A leading streaming service provider in Lahore is seeking a Senior Analyst – Advanced Analytics. This role focuses on analyzing user behavior and building predictive models. Candidates should have 4+ years of data analytics experience, strong SQL skills, and the ability to communicate insights to non-technical stakeholders. Join their innovative team to impact future entertainment strategies.

Benefits

Competitive compensation package

Exposure to cutting-edge technologies

Dynamic culture with innovation rewards

Qualifications

• 4+ years of experience in data analytics, preferably in digital/OTT/e-commerce environments.
• Strong experience in SQL, familiarity with Python or ML tools is a plus.
• Ability to translate complex data into actionable insights.

Responsibilities

• Analyze user behavior and subscription data to identify drivers of churn.
• Build and maintain CAC/LTV models for ROI optimization.
• Develop predictive models and machine learning solutions.

Skills

Data analytics

SQL

User segmentation

Customer retention strategy

Storytelling

Data visualization tools

Advanced Excel

Tools

Tableau

Python

Job description

Senior Analyst – Advanced Analytics

Location: Lahore (Onsite)

Experience: 4+ years

Department: Data Analytics

About STARZPLAY

STARZPLAY is the MENA region’s leading subscription video‑on‑demand (SVOD) platform, available in 19 countries. We stream a rich mix of Hollywood blockbusters, hit TV series, Arabic originals, kids' content, and live sports. With deep regional roots and global ambitions, we tailor our service to match how our audiences want to watch, pay, and engage — making us one of the fastest‑growing platforms in the region.

Role Overview

We are looking for a data‑driven Senior Analyst – Advanced Analytics to join our growing team. This role sits at the intersection of business intelligence and data science — supporting high‑impact projects related to churn, marketing funnels, CAC/LTV modeling, and customer behavior prediction.

You will work closely with stakeholders across Strategy, Marketing, Product, and Tech to deliver advanced analytical insights that directly inform decision‑making and drive business outcomes.

Key Responsibilities

• Analyze user behavior and subscription data to identify drivers of churn, conversion, and retention
• Build and maintain CAC/LTV models to support ROI optimization across marketing and content acquisition
• Develop predictive models and machine learning solutions to improve customer experience and retention
• Conduct deep dives into key business trends, delivering insightful narratives supported by data and visualizations
• Translate complex data into clear insights for non‑technical stakeholders through dashboards, presentations, and reports
• Collaborate with data engineering to enhance data infrastructure and KPI consistency

What We’re Looking For

• 4+ years of experience in data analytics, preferably in digital/OTT/e‑commerce environments
• Solid understanding of marketing funnels, user segmentation, and retention strategy
• Strong experience in SQL; familiarity with Python, model‑building or ML tools is a plus
• Comfort working with visualization tools such as Tableau
• Advanced Excel skills (pivoting, macros, advanced formulas)
• Ability to work cross‑functionally in a fast‑paced, dynamic environment
• Excellent communication and storytelling skills; ability to synthesize complex analysis into actionable insights

Why Join STARZPLAY?

At STARZPLAY, we value bold thinkers, data‑driven decision‑makers, and curious problem solvers. You’ll get to work on high‑impact projects, collaborate with cross‑functional teams, and help shape the future of entertainment in the region.

We Offer

• A competitive compensation package
• Exposure to cutting‑edge technologies and analytical practices
• A dynamic culture where innovation and creativity are rewarded

Ready to shape the future of streaming in MENA? Apply now and join us at STARZPLAY.