Job Description

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: 6000 - 8000 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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