At a Glance
- Tasks: Engage with stakeholders to analyse business needs and deliver actionable data insights.
- Company: Dynamic analytics firm focused on innovative data solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Ideal for those passionate about analytics and customer engagement.
- Why this job: Make a real impact by bridging business and technology through data-driven solutions.
- Qualifications: Strong SQL and Python skills, with a consultative mindset and excellent communication.
The predicted salary is between 54000 - 66000 £ per year.
Role Overview
We are seeking a highly consultative
Senior Data Analyst / Business Data Analyst who combines strong business acumen with deep analytical and Azure data platform expertise.
The ideal candidate will work directly with business stakeholders, report owners, and customers to understand business challenges, challenge requirements constructively, and translate them into actionable analytics solutions.
This role requires a hands-on professional who can perform rapid data investigations, build proof-of-concept analyses, and bridge the gap between business needs and technical data solutions.
Key Responsibilities
- Engage directly with business stakeholders, report owners, and customers to gather, analyze, and refine business requirements.
- Translate business requirements into SQL-based data analysis, reports, dashboards, and actionable insights.
- Perform root cause analysis and investigate data quality, reporting, and operational issues.
- Develop ad hoc analyses, prototypes, mock-ups, and proof-of-concepts to validate business ideas and requirements.
- Challenge business requirements constructively and recommend data-driven solutions that align with strategic objectives.
- Collaborate with data engineering, BI, and product teams to define data models, metrics, and reporting standards.
- Interpret complex datasets and present clear findings and recommendations to technical and non-technical audiences.
- Support analytics initiatives on Azure Data Platform technologies, ensuring alignment with business objectives.
- Drive continuous improvement in reporting, analytics processes, and data governance practices.
- Required Skills & Experience
- Technical Skills
- Strong expertise in
SQL with the ability to write complex queries, troubleshoot issues, and perform advanced data analysis.
- Proficiency in
Python for data analysis, data profiling, exploratory analysis, and rapid prototyping.
- Solid understanding of data modeling concepts , relational databases, and analytical data structures.
- Experience working with
Azure Data Platform technologies such as
- Power BI
- Business & Consulting Skills
- Strong business analysis and stakeholder management capabilities.
- Ability to work directly with customers and business users.
- Experience translating business problems into analytical and technical solutions.
- Excellent communication and presentation skills.
- Strong consulting mindset with the ability to challenge assumptions and influence decision-making.
- Ability to independently investigate issues, identify root causes, and recommend solutions.
- Preferred Qualifications
- Experience in enterprise analytics, business intelligence, or data consulting engagements.
- Experience working in customer-facing roles within data and analytics programs.
- Familiarity with KPI frameworks, reporting governance, and business performance management.
- Key Attributes
- Highly consultative and business-focused.
- Strong problem solver with an investigative mindset.
- Hands-on and analytical.
- Customer-centric with excellent stakeholder engagement skills.
- Capable of balancing business priorities with technical feasibility.
Experience
7-12+ Years
Role Type
Senior Data Analyst / Business Data Analyst
Location
Onsite/Hybrid as per project requirements
This profile is ideal for candidates who can bridge business and technology, engage confidently with customers, and deliver business-driven analytics solutions rather than simply executing technical requests
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Business Data Analyst employer: Test Triangle Limited
Test Triangle Limited is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration in the heart of the United Kingdom. With a strong focus on employee growth, we provide comprehensive training and development opportunities, ensuring our team members are equipped to excel in their roles. Our commitment to regulatory excellence and risk management not only enhances professional skills but also contributes to meaningful outcomes in the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land Business Data Analyst
✨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 Test Triangle Limited!
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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 Test Triangle Limited.
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We think you need these skills to ace Business Data Analyst
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 Test Triangle Limited, 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 Test Triangle Limited. 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 Test Triangle Limited
✨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 Test Triangle Limited!
✨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.
