At a Glance
- Tasks: Lead data discovery and analysis to transform branch data into actionable insights.
- Company: Join a dynamic team in a major transformation programme in London.
- Benefits: Competitive daily rate, flexible onsite work, and opportunities for professional growth.
- Other info: Work independently in a collaborative environment with excellent career advancement potential.
- Why this job: Make a real impact by improving data quality and driving strategic decisions.
- Qualifications: Experience in data analysis, SQL, and business intelligence tools required.
The predicted salary is between 48000 - 60000 £ per year.
We are seeking an experienced Data Analyst / Business Analyst to support a major transformation programme by leading a critical data discovery and analysis workstream. This role will focus on establishing a single aggregated view of branch data, providing insight into current data quality challenges, identifying gaps and duplication, and defining the requirements needed to achieve the programme's target state. The successful candidate will combine strong technical data analysis expertise with excellent business analysis skills, enabling them to work independently, challenge assumptions, engage stakeholders, and provide recommendations that directly inform strategic business cases and future programme delivery.
Key Responsibilities
- Lead data discovery activities across multiple systems and data sources.
- Define and document the current-state data landscape and how branch information is captured, stored and utilised.
- Develop a single aggregated view of branch data across the organisation.
- Analyze data quality issues, inconsistencies, duplication and gaps.
- Identify root causes of data quality challenges and provide recommendations for remediation.
- Conduct current-state, gap and impact analysis to support future-state design.
- Define business and data requirements required to achieve the target-state data model.
- Collaborate with programme teams, SMEs and technical stakeholders to validate findings.
- Challenge existing assumptions and data interpretations where appropriate.
- Produce clear documentation, analysis outputs and recommendations suitable for senior stakeholders and business case development.
- Present findings confidently to programme leadership and business stakeholders.
- Support wider programme discovery and transformation activities as required.
Key Deliverables
- Current-state data assessment.
- Single aggregated branch data model/view.
- Data quality assessment and remediation recommendations.
- Data gap analysis and duplication analysis.
- Future-state requirements documentation.
- Stakeholder workshop outputs and analysis reports.
- Business and data requirements documentation.
- Executive-level insight and recommendations.
- Inputs into programme business cases and investment decisions.
Essential Experience
- Proven experience as a Data Analyst, Technical Business Analyst or Data-Focused Business Analyst within large-scale transformation programmes.
- Strong SQL skills and experience interrogating complex datasets.
- Experience using Power BI, Tableau or similar business intelligence tools.
- Experience working with modern data platforms such as Databricks.
- Strong data profiling, data quality and data governance experience.
- Demonstrable experience performing current-state analysis, gap analysis and requirements definition.
- Ability to identify trends, anomalies, duplication and quality issues within large datasets.
- Experience producing clear and concise documentation for both technical and non-technical audiences.
- Excellent stakeholder engagement and communication skills.
- Comfortable working independently with minimal supervision.
Desirable Experience
- Experience supporting enterprise-wide transformation programmes.
- Experience creating data models, data dictionaries and business data definitions.
- Knowledge of master data management and data governance principles.
- Experience contributing to business case development and investment decisions.
- Experience working within Agile and hybrid delivery environments.
Technical Skills
- SQL
- Power BI
- Tableau
- Databricks
- Data Analysis & Profiling
- Data Quality Assessment
- Data Modelling
- Requirements Gathering
- Gap Analysis
- Stakeholder Management
Personal Attributes
- Analytical and naturally inquisitive.
- Confident challenging assumptions and existing processes.
- Strong attention to detail.
- Excellent communicator capable of translating technical findings into business language.
- Self-starter who can operate autonomously.
- Able to influence stakeholders through evidence-based recommendations.
Assignment Outcome
The objective of this engagement is to establish a trusted, consolidated view of branch data, identify and address data quality challenges, and define the future-state requirements required to support strategic programme decisions and future delivery initiatives.
Data Analyst / Business Analyst, Data Discovery & Analysis employer: Morson Group
Join a forward-thinking organisation in London that values innovation and collaboration, offering a dynamic work culture where your contributions as a Data Analyst / Business Analyst will directly impact strategic transformation initiatives. With competitive remuneration and opportunities for professional growth, you will thrive in an environment that encourages independent thinking and stakeholder engagement, all while enjoying the flexibility of hybrid working arrangements. This role not only allows you to leverage your technical expertise but also empowers you to challenge assumptions and drive meaningful change within the organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst / Business Analyst, Data Discovery & Analysis
✨Tap into Online Data Science Communities
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Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
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We think you need these skills to ace Data Analyst / Business Analyst, Data Discovery & Analysis
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Morson Group, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Morson Group, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Morson Group’s attention and show the tangible impact of your work.
How to prepare for a job interview at Morson Group
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Morson Group.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Morson Group.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Morson Group.
