Data Analyst & Data Operations

RealityMine; Stretford; Hybrid; GBP 30,000 - 45,000; Full time

Job summary

A leading data insights company in Stretford is seeking a Data Analyst to support anomaly detection and improve data quality. The role involves investigating data anomalies, collaborating with Data Scientists, and delivering actionable insights. Applicants should have strong skills in SQL and data analysis, with Python experience as a plus. Enjoy a hybrid working model and numerous benefits, including generous time off and professional growth opportunities.

Benefits

Generous time off

Life assurance

Bonus scheme

Cycle to work scheme

Personalized tech gear

Coaching and training budget

Charity support initiatives

Qualifications

• Proficiency in SQL and experience analyzing large datasets.
• Experience with Python for data analysis is highly desirable.
• Strong analytical and problem-solving skills, with attention to detail.

Responsibilities

• Investigate anomalies and data quality issues detected through automated monitoring systems.
• Perform exploratory data analysis to identify patterns and anomalies.
• Collaborate with Data Scientists to contextualize anomalies.

Skills

SQL

Data analysis

Python

Attention to detail

Communication skills

Curiosity

Tools

QuickSight

Job description

Overview

RealityMine has been a pioneer in delivering data-driven insights to the media and market research industries for over a decade. Our platform provides unique and actionable data solutions to top brands and partners worldwide, empowering them to make informed, strategic decisions. We are seeking a Data Analyst to join our Data Operations function. 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 our data products.

The Role

As a Data Analyst, you will play a critical role in investigating anomalies, identifying trends, and supporting the productionisation of monitoring solutions. You will collaborate with Data Scientists and Engineers to ensure anomalies are understood in context and surfaced in a way that drives action. This role requires strong analytical skills, curiosity, and the ability to communicate findings clearly to both technical and non-technical audiences.

Location & Working Style

Our offices are in Trafford Park, Manchester and the role consists of hybrid working, where we ask for our team to be in the office for collaboration and team building 2 days per week. The rest of the week is up to you; deep focus at home, or more of the same!

Key Responsibilities

• Investigate anomalies and data quality issues detected through automated monitoring systems.
• Perform exploratory data analysis to identify patterns, anomalies, and areas for further investigation.
• Collaborate with Data Scientists to contextualise anomalies and validate model outputs.
• Work with Analytics Engineers to ensure datasets used in monitoring are structured, accurate, and up to date.
• Develop clear and concise reporting to communicate anomaly investigations and findings to stakeholders.
• Support the design and testing of monitoring metrics, KPIs, and thresholds.
• Contribute to continuous improvement of anomaly detection and monitoring frameworks.
• Leverage data storytelling to make technical insights actionable for business stakeholders.
• Deliver ad-hoc analytics and insights to support both client requests and internal business stakeholders, ensuring outputs are accurate, clear, and actionable.
• Champion best practice in analytics, identifying opportunities to streamline processes, automate repeatable tasks, and improve the efficiency of analysis across the team.
• Apply automation and AI-assisted tools where appropriate to improve delivery efficiency and the quality of analytical outputs.
• Adhering to Company Policies and Procedures with respect to Security, Quality and Health & Safety.

About You

Here’s what we’re looking for:

• 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.

Why Join RealityMine?

At RealityMine, we believe our people are at the heart of everything we do. That’s why we go the extra mile to support every team member to unlock their full potential. Whether you\'re hungry for learning, driven by achievement, or just love being part of a dynamic and supportive team, you\'ll find a home here.

Your Benefits

• Generous Time Off: Enjoy 25 days of paid holiday, plus bank holidays. After two years with us, you can also buy or sell up to 5 days of annual leave.
• Peace of Mind: Life assurance and a workplace pension with employer contributions.
• Reward for Performance: Bonus scheme that recognizes your hard work and contributions.
• Cycle to Work Scheme: For the cyclists among us, we\'ve got you covered.
• Gear You\'ll Love: Choose the tech that works for you, we\'ll try and source it!
• Learning & Growth: Benefit from one-to-one coaching, a budget for training programs, and all the support you need to keep growing.
• Giving Back: Join us in supporting local charities and making a positive impact.

Hybrid Working

We know work-life balance matters, so we’ve embraced a flexible hybrid working model:

• Located in Trafford Park, our Manchester office offers an inspiring, collaborative space to work alongside your colleagues.
• Free parking and secure bike shed. Excellent public transport links.
• Split your time between the office and home, with 2 days working in our offices.
• Full equipment provided for home working (desk, screen, chair).
• Receive £100 annually to personalise your home workspace.
• Flexible start and finish times to suit your personal circumstances.

If you’re a Data Analyst professional excited to work on impactful projects and shape the future of data insights, we’d love to hear from you.

Please email your CV with the heading ‘Data Analyst’ to [e-mail]