Data Analyst

Six Ventures Ltd; Birmingham; On-site; GBP 40,000 - 55,000; Full time

Job summary

A growing data-focused company in Birmingham is seeking a skilled Data Analyst to analyze high-volume transactional data and provide actionable insights. The candidate will build predictive models and collaborate with cross-functional teams to enhance business decisions. A competitive salary and benefits package are offered, along with opportunities for career progression.

Benefits

Competitive salary and benefits package

Opportunities for career progression

Ongoing learning

Qualifications

• Proven experience working as a Data Analyst in high-volume data environments.
• Familiarity with machine learning libraries like scikit-learn, TensorFlow, XGBoost.
• Strong communication skills to present insights to non-technical audiences.

Responsibilities

• Analyze large-scale transactional datasets to identify trends and anomalies.
• Build predictive models and machine learning algorithms for business initiatives.
• Translate complex data into actionable insights for stakeholders.

Skills

Data Analysis

SQL

Machine Learning

Communication

Education

Degree in Data Science, Computer Science, Statistics, or Mathematics

Tools

AWS

Azure

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.