Senior/Lead Project Data Analyst

Roles & Responsibilities

ABOUT THE COMPANY

Zenith Infotech (S) Pte Ltd. was started in 1997, primarily with the vision of offering state-of-the-art IT Professionals and solutions to various organizations and thereby helping them increase their productivity and competitiveness. From deployment of one person to formation of whole IT teams, Zenith Infotech has helped clients with their staff augmentation needs. Zenith offers opportunity to be engaged in long term projects with large IT savvy companies, Consulting organizations, System Integrators, Government, and MNCs.

EA 20S0237

Employment Details

Employment type: Contract

Location: One North/Buona Vista

Working Hours: 8:30AM to 6:00PM (Mon-Fri)

Salary: per month

Working Arrangement: Hybrid

Qualification: Degree

Assistant Director / Senior Assistant Director (Data Analytics)
(Senior/Lead Project Data Analyst)

Introduction to Digital Transformation, Innovation & Data Office (DTID)

The Digital Transformation, Innovation & Data Office (DTID) serves as the central business transformation unit, leading the organization toward becoming a digitally empowered and data-driven enterprise. DTID is responsible for:

• Defining the digital vision and transformation strategy
• Developing and implementing digital roadmaps and initiatives
• Acting as a bridge between business stakeholders and technology teams
• Harmonizing and integrating digital efforts across departments
• Driving complex, cross-functional digital initiatives
• Building a digitally skilled and innovative workforce

Job Responsibilities

As a Senior/Lead Data Analyst, you will lead the development and implementation of data analytics solutions that support strategic decisions and enterprise-wide transformation.

Key Responsibilities:

• Agile Team Leadership
  Support the Product Owner in managing Agile product teams
  Lead Data Analysts throughout the end-to-end product development lifecycle—from ideation to deployment
• End-to-End Analytics Development
  Collaborate with business stakeholders to define use cases and deliver fit-for-purpose analytics solutions
  Build data pipelines, develop proof-of-concepts, and implement scalable solutions in production
• Enterprise Reporting & Integration
  Create custom, non-standard reports by integrating data from systems such as SAP S/4HANA, Ariba, SAP Analytics Cloud, and others
  Utilize cloud-native tools (e.g., Azure Data Factory, Snowflake, Databricks) for analytics development
  Deliver insights via tools such as Power BI or integrate with enterprise applications
• Platform Enhancement
  Work with business users, data engineers, and policy teams to enhance the analytics platform and tools
  Improve reusability, scalability, and user experience across the data ecosystem
• Operational Support
  Maintain and provide operational support for the enterprise data and analytics infrastructure
• Analytics Community & Capability Building
  Contribute to the Analytics Centre of Excellence (COE)—a community for knowledge sharing and professional development
  Mentor peers, promote best practices, and drive adoption of advanced analytics
  Design and deliver workshops or training sessions to upskill internal teams in data analytics
• Other Responsibilities
  Perform other duties aligned with departmental and organizational objectives as required

Job Requirements

Education & Experience

• Bachelor's degree in Computer Science, Engineering, Information Technology, Business Analytics, Data Science, Artificial Intelligence, or a related field
• At least 10 years of experience in developing advanced analytics or data science solutions to address business problems

Technical Skills

• Strong skills in SQL, Python or R
• Proficient with data visualization tools such as Power BI, Tableau
• Familiarity with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform
• Experience with modern data stack technologies like Snowflake, Databricks, Azure Data Factory

Analytical & Business Skills

• Skilled in identifying business needs and translating them into actionable data solutions
• Ability to articulate model outputs, business impact, and drive solution adoption
• Experienced in gathering user requirements and collaborating with tech teams to resolve user pain points

Soft Skills

• Excellent verbal and written communication skills
• Strong interpersonal skills and the ability to work collaboratively across teams
• Experience in team leadership, coaching, or mentoring is an advantage

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Tell employers what skills you have
Digital Transformation
Tableau
Microsoft Azure
Factory
Azure
Google Cloud Platform
Artificial Intelligence
Agile
Information Technology
Soft Skills
SQL
Team Leadership
Python
Data Science
Data Analytics
Power BI

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