Job Description

Data Analyst - High-Volume Transactions

Are you an Analyst with a passion for uncovering insights from high-volume transactional data?

Our client is seeking a skilled and analytical

Data Analyst

to join their growing data team.

This is an exciting opportunity to work at the forefront of data innovation, helping to drive business decisions, customer experience, and operational efficiency through data-driven solutions.

Key Responsibilities:

Analyze large-scale transactional datasets to identify trends, anomalies, and opportunities.

Build predictive models and machine learning algorithms to support key business initiatives.

Work collaboratively with cross-functional teams including Product, Engineering, and Business Intelligence.

Develop and maintain data pipelines and infrastructure to ensure accurate, real-time analytics.

Translate complex data into clear, actionable insights and present findings to stakeholders.

Skills & Experience Required:

Proven experience working as a

Data Analyst

in high-volume data environments (e.g. financial transactions, online retail, logistics, etc.).

Proficient with

SQL

and working with large databases.

Experience with machine learning libraries (e.g. scikit-learn, TensorFlow, XGBoost).

Familiarity with cloud platforms such as

AWS

, or

Azure

Strong communication skills and ability to present data-driven insights to non-technical audiences.

A degree in a relevant field such as Data Science, Computer Science, Statistics, or Mathematics.

What's in it for you?

Join a forward-thinking company investing heavily in data and analytics.

Work on meaningful, large-scale challenges with real business impact.

Competitive salary and benefits package.

Opportunities for career progression and ongoing learning.

Job Type: Full-time

Pay: 45,000.00-60,000.00 per year

Work Location: In person