At a Glance
- Tasks: Transform data into insights and support strategic decisions in a dynamic financial environment.
- Company: Leading financial services institution with a focus on innovation and collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a team that values continuous improvement and offers excellent career advancement.
- Why this job: Make a real impact by driving cloud-based data transformation initiatives.
- Qualifications: Experience in data analysis, strong skills in GCP, Python, and SQL.
The predicted salary is between 59400 - 72600 £ per year.
A leading financial services institution is seeking a
Senior / Lead Data Analyst to join a business-facing data team.
This role will work closely with stakeholders across the bank to deliver data-driven insights, support strategic decision-making, and help drive the organisation's cloud-based data transformation initiatives.
The successful candidate will combine strong analytical and stakeholder management skills with hands‑on expertise in modern cloud data technologies, data modelling, reporting, and ETL development.
Key Responsibilities
- Partner with business stakeholders to gather requirements and translate them into data solutions and actionable insights.
- Analyse large and complex datasets to identify trends, risks, and opportunities.
- Design, develop, and maintain reporting and dashboard solutions for business users.
- Build and optimise data pipelines and ETL processes within a cloud environment.
- Support data quality, governance, and data management initiatives.
- Collaborate with data engineers, architects, product owners, and business teams to deliver end‑to‑end solutions.
- Present findings and recommendations to senior stakeholders and leadership teams.
- Drive continuous improvement in data analytics methodologies and reporting capabilities.
- Desired Skills and Experience
- Required Skills =
- Proven experience as a Data Analyst, Senior Data Analyst, Lead Data Analyst, or similar role within banking or financial services.
- Strong experience with Google Cloud Platform (GCP).
- Advanced knowledge of Big Query for data analysis and optimisation.
- Hands‑on experience developing and maintaining ETL pipelines using Cloud Composer.
- Strong Python programming skills for data analysis and automation.
- Experience with business intelligence and visualisation tools, including:
- Looker
- Qlik Sense
- Excellent SQL and data modelling expertise.
- Strong stakeholder engagement and business analysis skills.
- Experience working within large-scale enterprise environments
- #J-18808-Ljbffr
Data Analyst in Manchester employer: Glocomms
At Glocomms, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our employees to thrive. As an Azure Platform Architect, you will have access to continuous professional development opportunities, allowing you to grow your expertise in cloud technologies while working alongside industry leaders in a dynamic environment. Our commitment to employee well-being and a supportive atmosphere makes Glocomms a rewarding place to build your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Manchester
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Glocomms!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst at Glocomms.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Glocomms.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at Glocomms, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analyst in Manchester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Glocomms, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Glocomms. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Glocomms
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Glocomms!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
