Mitsui O.S.K. Lines (MOL) is one of the world's largest multimodal deep-sea carriers, with a rich maritime legacy spanning over 140 years. Operating across Asia, the Middle East, Europe, Africa, North America, South America, and Oceania, MOL connects global trade routes with a strong presence in international shipping and logistics.
MOL Information Technology (MOL-IT) is the dedicated ICT solutions provider for the MOL Group, delivering customized technology solutions across the shipping, logistics, and supply chain domains. Established in 1997, MOL-IT has expanded significantly, operating from four offices in Kolkata, Hyderabad, Mumbai, and Hong Kong, with a talented team of over 380 software and management professionals. As part of its growth strategy, MOL-IT is enhancing its suite of ICT solutions for existing customers while exploring opportunities to diversify beyond the MOL Group.
For further details about organization, please visit
www.mol-it.com/
Video
- An Introduction to MOL-IT - YouTube
Challenge
Innovate through insight
Honesty
Do the right thing
Accountability
Commit to acting with a sense of ownership
Reliability
Gain the trust of customers
Teamwork
Build a strong team
Safety
Pursue the world's highest level of safety culture
Job Summary
We are looking for a motivated and detail-oriented
Associate Data Analyst
with
1 to 2 years of experience
to join our data team. This is an excellent opportunity for early-career professionals to build expertise in data analysis, ETL processes, and cloud-based data platforms like Azure. The ideal candidate should have a good foundation in SQL, Python, and data handling, and be eager to grow in a collaborative and data-driven environment.
Key Responsibilities
Assist in
data collection, cleansing, and preparation
from various sources.
Support
basic data modeling and documentation
efforts.
Develop and maintain
simple data pipelines
using tools like
Azure Data Factory (ADF)
.
Write and optimize queries using
SQL
.
Use
Python or PySpark scripts
to perform data transformations.
Perform
data validation and quality checks
to ensure accuracy.
Collaborate with senior analysts, engineers, and business teams to gather data requirements and support reporting needs.
Contribute to dashboards, reports, and ad-hoc data analysis as needed.
Required Skills & Qualifications
Bachelor's degree in
Computer Science, Information Technology
, or a related field.
1 to 2 years
of hands-on experience in
data analysis, ETL, or data engineering
projects.
Basic to intermediate knowledge of
SQL
and
Python
.
Exposure to
Azure Data Factory
or any cloud-based data integration tool is a plus.
Understanding of
relational databases (RDBMS)
like SQL Server or PostgreSQL.
Familiarity with version control tools like
Git
.
Good analytical and communication skills.
Willingness to learn and grow in a fast-paced team environment.
Preferred Qualifications
Exposure to
Azure, AWS
, or
Google Cloud Platform
.
Basic understanding of
data modeling
and
data warehousing
concepts.
* Interest in
CI/CD
and automation practices for data workflows.
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