At a Glance
- Tasks: Lead data analysis to uncover insights and drive strategic decisions.
- Company: Join a forward-thinking company focused on data-driven innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Mentorship opportunities and a dynamic environment for continuous learning.
- Why this job: Make a real impact by shaping product strategies through data insights.
- Qualifications: 3-6 years in analytics with strong SQL and communication skills.
The predicted salary is between 50000 - 60000 £ per year.
Responsibilities
- Lead Data Exploration & Insight Generation – Drive deep analysis of user behaviour, product performance, and operational trends to uncover key drivers of business outcomes. Proactively identify high-impact opportunities and generate actionable insights that shape product and strategic decisions.
- Own Anomaly Detection & Root Cause Analysis – Independently identify anomalies, emerging patterns, and performance shifts across key metrics. Lead root-cause investigations and clearly communicate findings to cross-functional stakeholders.
- Build Scalable Reporting & Data Infrastructure – Design, develop, and own robust dashboards, reporting frameworks, and automated data pipelines. Ensure data accessibility, consistency, and reliability for stakeholders across the organization.
- Strategic Decision Support – Partner closely with product, operations, and leadership teams to translate complex analytical findings into clear, data-driven recommendations. Influence roadmap prioritization and business strategy.
- Define & Evolve Core Metrics – Lead the development and refinement of KPIs and success metrics. Ensure alignment with business objectives and establish measurement frameworks to track performance effectively.
- Champion Experimentation & Modeling – Design, execute, and analyze experiments (A/B tests, cohort analysis, impact assessments). Contribute to predictive modeling and advanced analytics initiatives in collaboration with data science teams.
- Drive Best Practices & Documentation – Establish and maintain high standards for documentation, reproducibility, and analytical rigor. Promote best practices in data governance, methodology, and reporting.
- Mentorship & Continuous Improvement – Support and mentor junior analysts, helping to elevate team capabilities. Continuously expand your own technical and product skillset while driving analytical excellence across the team.
Desired Skills and Experience
- 3-6+ years of experience in analytics, data, product, or operations roles
- Advanced SQL proficiency for querying, transforming, and optimizing large datasets
- Strong analytical thinking with a structured, hypothesis-driven approach to problem solving
- Excellent communication skills – able to translate complex analyses into clear, compelling narratives for both technical and non-technical audiences
- Proven ability to own projects end-to-end and influence stakeholders
- Experience automating workflows and improving data processes at scale
- Strong knowledge of financial services, product analytics, and data-driven decision-making
Technical Skills
- Proficiency in Python (or similar) for data analysis and manipulation
- Solid understanding of experimentation design, statistical concepts, and data modeling fundamentals
Nice to Have
- Hands-on experience with modern BI tools (e.g., Looker, Metabase, Power BI, Tableau)
- Strong understanding of business performance metrics and growth levers
- Experience in product, financial, or fraud analytics
- Exposure to machine learning workflows or advanced analytics use cases
Senior Data Analyst in London employer: Glocomms
As a Senior Data Analyst at our company, you will thrive in a dynamic and collaborative work culture that prioritises innovation and professional growth. We offer competitive benefits, including flexible working arrangements and opportunities for mentorship, ensuring you can develop your skills while making impactful contributions to our data-driven strategies. Located in a vibrant area, our office fosters creativity and teamwork, making it an excellent place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Data Analyst role.
✨Tip Number 2
Prepare for those interviews by practising common data analysis scenarios. Think about how you would approach anomaly detection or root cause analysis. We recommend running through some mock interviews with friends or using online platforms to get comfortable with articulating your thought process.
✨Tip Number 3
Showcase your skills with a portfolio! Create a few case studies or projects that highlight your analytical prowess and ability to generate actionable insights. We love seeing real-world applications of your skills, so make sure to share these during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate candidates who are ready to drive data-driven decisions and influence business strategy.
We think you need these skills to ace Senior Data Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Analyst. Highlight your experience with data exploration, anomaly detection, and reporting frameworks. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us about your passion for data analysis and how you've driven insights in previous roles. Keep it engaging and relevant to the responsibilities listed in the job description.
Showcase Your Technical Skills:Don’t forget to mention your SQL and Python prowess! We’re looking for someone who can handle large datasets and automate workflows, so be sure to include specific examples of how you’ve done this in the past.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss any important updates from us!
How to prepare for a job interview at Glocomms
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects and be ready to discuss specific data analyses you've conducted. Highlight how your insights led to actionable outcomes, especially in user behaviour or product performance.
✨Master the Art of Communication
Practice explaining complex analytical concepts in simple terms. You’ll need to convey your findings to both technical and non-technical stakeholders, so being clear and compelling is key. Use examples from your experience to illustrate your points.
✨Showcase Your Technical Skills
Be prepared to demonstrate your SQL and Python skills during the interview. You might be asked to solve a problem on the spot, so brush up on querying large datasets and manipulating data efficiently. Familiarity with BI tools can also give you an edge.
✨Emphasise Collaboration and Mentorship
Talk about your experience working with cross-functional teams and mentoring junior analysts. Highlight how you’ve influenced project outcomes and contributed to team growth, as this shows your leadership potential and commitment to continuous improvement.
