MacGregor Black
Senior Data Analyst

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Senior Data Analyst
Are you passionate about turning complex data into actionable insight that drives better commercial and operational decisions?
Do you enjoy building scalable dashboards, automating reporting, and improving data visibility across a fast-paced business?
Ready to combine Power BI, SQL, and analytics expertise to make a measurable impact within a growing data function?
MacGregor Black are partnering with a leading UK business to appoint an experienced Senior Data Analyst to join a growing Data Engineering and Analytics function.
This role will play a key part in enhancing business decision-making, operational efficiency, and reporting capability across the organisation through the development of scalable data models, dashboards, reporting solutions, and automation. The successful individual will combine strong technical capability with a practical, business-focused approach, helping the organisation improve visibility, streamline reporting processes, and drive more effective data-led decision making. This is a hands-on role suited to someone comfortable working across reporting, analytics, data engineering, stakeholder engagement, and continuous improvement.
Key Responsibilities:
- Design, develop, and maintain dashboards, reports, and analytical outputs across the business
- Translate complex data into meaningful commercial and operational insight
- Conduct in-depth analysis to identify trends, risks, anomalies, and improvement opportunities
- Support stakeholders with self-service reporting and analytical capability
- Design and maintain scalable data models and reporting pipelines
- Integrate and prepare data from multiple systems and sources
- Develop and automate recurring reports and workflows using SQL, Python, and automation tools
- Support continuous improvement across reporting, data quality, and automation capability
- Ensure accuracy, consistency, and integrity of reporting outputs
- Support data cleansing, reconciliation, and governance processes
- Maintain documentation across reporting structures, models, and analytical processes
- Work closely with operational, commercial, and technical stakeholders across the business
- Translate business requirements into reporting and analytical solutions
- Support adoption of data-led decision making across the organisation
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What We're Looking For:
- Proven experience within a Data Analyst or data-focused analytical role
- Strong experience building dashboards, reports, and data models using modern BI tools
- Experience working with Power BI, Oracle Analytics Cloud, or Business Objects
- Strong SQL capability across Microsoft SQL Server or Oracle environments
- Experience supporting operational and commercial reporting environments
- Ability to manage multiple priorities within fast-paced business environments
- Advanced Power BI and Excel capability
- Strong SQL and data modelling expertise
- Experience with reporting automation and workflow tools
- Analytical mindset with strong problem-solving capability
- Ability to communicate technical information to non-technical stakeholders
- Strong organisational and documentation skills
- Microsoft Power Platform exposure
- Azure Data & Integration Services experience
- Oracle Integration Cloud (OIC) or Oracle Data Integrator (ODI) exposure
- Experience with Python and reporting automation
- Data or BI certifications
- Experience within operational, manufacturing, supply chain, or FMCG environments
- Commercially aware and insight-driven
- Hands-on and delivery-focused
- Curious and continuously improving
- Collaborative with strong stakeholder engagement skills
- Comfortable operating across both technical and business teams


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