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AM/ Manager - CLM Analytics & Data Science

ATOM
Kyauktada | Yangon
Verified This job has been verified by the company as a real job vacancy.
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AM/ Manager - CLM Analytics & Data Science
ATOM, Kyauktada | Yangon

AM/ Manager - CLM Analytics & Data Science

ATOM

AM/ Manager - CLM Analytics & Data Science

ATOM
Recruiter active 1 day ago The recruiter at this company was last active reviewing applications.
Myanmar - Yangon
Verified This job has been verified by the company as a real job vacancy.

Experience level

Manager

Job Function

IT Hardware, Software

Job Industry

Telecommunications

Min Education Level

Bachelor Degree

Job Type

Full Time

Job Description

A Fantastic Opportunity for ...

  • To drive data-driven decision-making and business growth by developing advanced analytical models, insights, and customer lifecycle strategies.
  • The role is responsible for leveraging statistical techniques, machine learning, and deep customer behavior analysis to optimize CLM initiatives, improve retention and acquisition performance, and enhance overall customer value.
  • This position works closely with cross-functional teams to translate complex data into actionable recommendations and support strategic business outcomes.
  • In addition, the position involves working with server-side data processing techniques—including SQL optimization, big data platforms to ensure efficient, reliable, and high-performance analytics delivery.
  • Analyze structured and unstructured data to identify customer trends, behavioral patterns, lifecycle movements, and revenue opportunities.
  • Apply statistical tests, optimization techniques, and hypothesis testing to validate insights and support data-driven business decisions.
  • Build and deploy machine learning solutions for CLM use cases such as segmentation, churn prediction, upsell/cross-sell, lifetime value modeling, recommendation systems, and propensity scoring.
  • Design, develop, and maintain ETL/ELT pipelines to collect, process, and transform customer and transactional data from multiple sources.
  • Build and optimize data warehouses, data lakes, and analytical data models to support CLM dashboards, campaign orchestration, and real-time decisioning.
  • Ensure data quality, consistency, availability, and security across all customer data systems and analytical platforms.
  • Collaborate with CLM, marketing, product, and sales teams to translate business requirements into analytical solutions and actionable strategies.
  • Monitor, troubleshoot, and optimize data pipelines, model accuracy, and system performance to maintain high operational reliability.
  • Develop and maintain documentation for data processes, analytical workflows, machine learning models, and system architecture.
  • Stay up to date with emerging advanced analytics techniques, cloud platforms, and big data technologies to drive innovation in CLM programs.
  • Design end-to-end customer journey analytics to identify lifecycle gaps, trigger points, and personalized engagement opportunities.
  • Evaluate campaign performance, improve the uplift to continuously refine CLM strategies and improve customer value.
  • Build dashboards and KPI frameworks to track customer retention, churn details, usage trends, and revenue movement.
  • Work with IT and related cross-function teams to ensure alignment between analytical models, system rules, and campaign execution platforms.

Open To

Repatriate
Male/Female

Job Requirements

Education:

  • Bachelor’s or master’s degree in data science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
  • Advanced degrees (Master’s/PhD) in analytics, machine learning, or applied statistics are an advantage.
  • Professional certifications in Machine Learning, Data Engineering, Cloud Platforms (Linux, AWS, Azure) or Big Data technologies are preferred.

Experience:

  • 1-3 years of hands-on experience in data science, advanced analytics, or machine learning roles.
  • Solid experience working with customer lifecycle management (CLM), CRM analytics, retention models, or customer segmentation in telecom, digital platforms, or similar industries.
  • Hands-on experience with SQL, data modeling, and managing large datasets in relational or big data environments.
  • Previous involvement in campaign analytics, CLM journey design is a strong advantage.
  • Experience collaborating with cross-functional teams (Marketing, CLM, Product, IT, Data Engineering) to deliver analytical solutions.
  • End to end data modeling and server technologies
  • Practical skills with programming languages such as Python, R, Bash script for analytics and model development.

Skills

  • Strong proficiency in SQL and experience with relational and non-relational databases (e.g., MySQL, PostgreSQL, MongoDB, ClickHouse).
  • Knowledge of programming languages such as Python, Bash Script
  • Experience with big data technologies (e.g., Vertica, Oracle).
  • Familiarity with cloud platforms (AWS, Linux platform) and data services (e.g., BigQuery, Snowflake).
  • Familiarity with Visualization Tools (PowerBI, Tablaeu)
  • Understanding data modeling, warehousing, and data architecture principles.
  • Experience with version control (Git) and CI/CD pipelines is a plus.

What We Can Offer

Benefits

Rewards for over performance

Highlights

  • An awesome company
  • Join a winning team
  • You can make a difference

Career Opportunities

  • Opportunities for promotion
  • Possibility for job training
  • Learn new skills and techniques