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- Tasks: Lead data projects, create dashboards, and provide insights for business decisions.
- Company: Join a global consultancy expanding its influence in the data analytics space.
- Benefits: Enjoy a competitive salary, hybrid work options, and travel expenses covered.
- Why this job: Be part of a dynamic team driving data-driven decisions and mentoring future analysts.
- Qualifications: 5+ years in data analysis, expert in SQL, and proficient in Python.
- Other info: Opportunity to work in Cardiff or Bristol with flexible commuting options.
The predicted salary is between 42500 - 57500 £ per year.
Salary - £50 - £60K DOE
Excellent Benefits
Cardiff or Bristol Base – Expensed Travel across the company network
I am lucky enough to be working with a global consultancy as they grow their footprint. They are looking to add a Data Analyst on a permanent basis. This role will be based in Cardiff or Bristol; therefore, you will need to be commutable to one or the other or even up to 3 days a week.
As Data Analyst, you will lead on the delivery of strategic insights that drive business decisions across commercial, operational & Finance teams. You will work closely with stakeholders at all levels, building data solutions, automating processes, and designing powerful dashboards collecting data from multiple sources using SQL & Python.
SQL Data Analyst Specification:- Lead end-to-end delivery of data projects, from requirements gathering through to insight generation and stakeholder communication.
- Design and build interactive dashboards and reports tailored to different business audiences.
- Develop and manage robust data pipelines.
- Champion data quality and governance across multiple functions.
- Partner with business units to embed data-driven decision-making and improve existing analytics capabilities.
- Provide mentoring and technical guidance to junior analysts.
- Support ad-hoc and strategic reporting requirements across finance, operations, product, and marketing.
- Create and maintain forecasting models to support planning and performance reviews.
- Collaborate with IT to ensure scalable data architecture and automation of reporting.
- Translate analytical findings into business-friendly narratives for C-level and non-technical stakeholders.
5+ years in a data analyst or business intelligence role, with a proven track record of delivering actionable insights.
Expert in SQL.
Hands-on experience with Python and working with APIs and SFTP data connectors.
Demonstrable experience in stakeholder engagement, especially with senior leaders and cross-functional teams.
Ability to work independently and manage multiple priorities in a fast-paced environment.
Excellent data storytelling and presentation skills.
Experience in process automation and system improvements.
Background in mentoring or developing junior team members.
If this sounds like your next challenge and you are within the salary band and location, then please send me your CV and I will arrange a call to discuss.
Locations
Data Analyst employer: Boston Quantara
Contact Detail:
Boston Quantara Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as SQL, Python, and Azure. Having hands-on experience or projects that showcase your skills in these areas will make you stand out during the interview process.
✨Tip Number 2
Prepare to discuss your previous experiences in stakeholder engagement, especially with senior leaders. Think of examples where you successfully communicated complex data insights in a way that was easily understood by non-technical audiences.
✨Tip Number 3
Showcase your ability to work independently and manage multiple priorities by preparing anecdotes from your past roles. Highlight situations where you successfully juggled various tasks while delivering high-quality results.
✨Tip Number 4
If you have experience mentoring junior analysts, be ready to discuss your approach to developing their skills. This will demonstrate your leadership capabilities and your commitment to fostering a collaborative team environment.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and data analysis. Include specific projects where you've delivered insights or built dashboards, as this will resonate with the role's requirements.
Craft a Compelling Cover Letter: In your cover letter, emphasise your ability to lead data projects and engage with stakeholders. Mention your experience in mentoring junior analysts and how you can contribute to the company's data-driven culture.
Showcase Your Technical Skills: Be explicit about your technical skills in SQL and Python. If you have experience with Azure or data pipelines, make sure to include that as well. Consider providing examples of how you've used these tools to solve business problems.
Prepare for Interviews: If you get called for an interview, be ready to discuss your past projects in detail. Prepare to explain how you translate complex data findings into actionable insights for non-technical stakeholders, as this is crucial for the role.
How to prepare for a job interview at Boston Quantara
✨Showcase Your SQL Expertise
As a Data Analyst, your proficiency in SQL is crucial. Be prepared to discuss specific projects where you've used SQL to extract and manipulate data. Highlight any complex queries you've written and the impact they had on decision-making.
✨Demonstrate Your Python Skills
Since Python is a key requirement for this role, come ready to talk about your experience with it. Share examples of how you've used Python for data analysis, automation, or working with APIs. If possible, mention any libraries you are familiar with, like Pandas or NumPy.
✨Prepare for Stakeholder Engagement Questions
Given the emphasis on stakeholder communication, think of instances where you've successfully engaged with senior leaders or cross-functional teams. Be ready to explain how you translated complex data findings into actionable insights that were easily understood by non-technical stakeholders.
✨Highlight Your Mentoring Experience
If you have experience mentoring junior analysts, make sure to bring it up during the interview. Discuss how you've supported their development and contributed to building a strong analytics team. This will demonstrate your leadership potential and commitment to fostering talent.
