At a Glance
- Tasks: Lead data analysis to uncover insights and drive strategic decisions.
- Company: Join a forward-thinking company focused on data-driven success.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Mentorship opportunities and a dynamic team environment await you.
- Why this job: Make an impact by shaping product strategies with your analytical skills.
- Qualifications: 3-6 years in analytics, strong SQL, and excellent communication skills.
The predicted salary is between 50000 - 65000 £ 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 employer: Glocomms
As a Senior Data Analyst at our company, you will thrive in a dynamic and collaborative work environment that values innovation and analytical excellence. We offer competitive benefits, a strong focus on employee growth through mentorship opportunities, and a culture that encourages continuous learning and experimentation. Located in a vibrant area, our team enjoys a supportive atmosphere where your insights directly influence strategic decisions and drive meaningful business outcomes.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data analysis. We recommend using the STAR method to structure your answers – it’ll help you showcase your skills effectively.
✨Tip Number 3
Show off your analytical prowess! Bring examples of your past work, like dashboards or reports, to interviews. This gives you a chance to demonstrate your skills and how you can add value to the team.
✨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 love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Senior Data Analyst role. 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 analytical journey, your passion for data-driven decision-making, and how you can contribute to our team. Keep it engaging and relevant to the job description.
Showcase Your Technical Skills:Don’t forget to highlight your SQL and Python prowess! Mention any BI tools you’ve used and how they’ve helped you in past projects. We love seeing candidates who can back up their claims with real examples.
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 out on 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 drove business decisions, 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 think about how you can make your insights relatable and actionable.
✨Showcase Your Technical Skills
Be prepared to demonstrate your SQL and Python skills during the interview. Consider bringing examples of dashboards or reports you've built, and be ready to discuss how you’ve automated workflows or improved data processes.
✨Emphasise Collaboration and Mentorship
Talk about your experience working with cross-functional teams and mentoring junior analysts. Highlight how you’ve contributed to team growth and analytical excellence, as this shows you’re not just a lone wolf but a team player.
