Data Analyst

SearchWorks; Manchester; On-site; GBP 35,000 - 45,000; Full time

Job summary

A tech-forward company in Manchester is seeking a Data Analyst to empower businesses through consumer insight analysis. The ideal candidate will possess strong SQL skills and familiarity with Python, focusing on developing anomaly detection frameworks and enhancing data trustworthiness. Excellent communication and analytical skills are essential. This role offers an opportunity to work with cutting-edge technologies in a dynamic environment.

Qualifications

• Proficient in SQL with experience analyzing large datasets.
• Desirable experience with Python for data analysis.
• Strong analytical and problem-solving skills with attention to detail.

Responsibilities

• Support development and monitoring of anomaly detection frameworks.
• Investigate data quality issues and provide exploratory insights.

Skills

SQL proficiency

Python for data analysis

Analytical skills

BI tools familiarity

Communication skills

Curiosity and proactivity

Tools

QuickSight

Monitoring systems

Job description

Join a tech-forward company that empowers businesses to understand consumer behaviour. As a Data Analyst, you\'ll work with cutting-edge technologies to solve complex data problems and drive data-driven insights.

This role will focus on supporting the development and monitoring of anomaly detection frameworks, investigating data quality issues, and providing exploratory insights that help contextualise anomalies and improve trust in their data products.

Key Experience

• Proficiency in SQL and experience analysing large datasets.
• Experience with Python for data analysis is highly desirable.
• Strong analytical and problem-solving skills, with attention to detail.
• Familiarity with BI tools (ideally QuickSight) is desirable for exploratory analysis and reporting.
• Excellent communication skills, with the ability to explain findings to technical and non-technical audiences.
• Curious, proactive, and motivated to dig into data issues and uncover insights.
• Experience working with monitoring or anomaly detection systems is a plus.