Data Analyst

Hbculifestyle; Kuala Lumpur; On-site; MYR 60,000 - 100,000; Full time

Job summary

A leading company is seeking an individual contributor for a pivotal role in developing Next Best Action (NBA) use cases aimed at improving field force engagement strategies. This position combines machine learning with customer relationship data to enhance pharmaceutical business strategies and optimize customer engagement models.

Qualifications

• Extensive experience in SQL for data analysis.
• Strong expertise in Snowflake and Azure Databricks.
• Good understanding of machine learning techniques.

Responsibilities

• Collaborate with stakeholders to translate business needs into NBA use cases.
• Analyse and implement NBA algorithms as per business requirements.
• Resolve and communicate findings related to Service Now tickets.

Skills

SQL

Azure Databricks

Python

Snowflake

Education

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field

Job description

Job Summary:

This is a highly impactful individual contributor role focused on developing Next Best Action (NBA) use cases to optimize field force engagement strategies. You will be working with cutting-edge platforms like Snowflake, Azure Snowflake, and IQVIA ADA platform, enabling clients' sales teams to make data-driven decisions. The role provides a unique opportunity to work at the intersection of machine learning, customer relationship data and pharmaceutical business strategy, contributing directly to the efficiency and effectiveness of Clients customer engagement model.

Key Responsibilities

• Collaborate with stakeholders (Country LOCs, Deployment Managers, Scrum Master) to translate business needs into NBA use cases.
• Analyse and implement NBA algorithms as per business requirement documents.
• Resolve and communicate the findings related to Service Now tickets to the business stakeholders.

Must have skills : SQL, Azure Databricks, Python, Snowflake

Required skills:

• Extensive experience in SQL for data analysis and issue resolution.
• Strong expertise in Snowflake and Azure Databricks for cloud-based data engineering and data pipelines.
• Good understanding of machine learning techniques, especially in customer engagement and marketing analysis.
• Good communication and stakeholder management skills.

Nice to Have Skills.

• Good familiarity with pharmaceutical data,
• Good understanding of multi-channel marketing and marketing KPIs.
• Good experience with rule-based recommendation engine modelling.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
• Fair experience in Data roles in commercial/enterprise settings.

About Cognizant:

Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at www.cognizant.com or @cognizant.