At a Glance
- Tasks: Transform raw data into actionable insights and support operational improvements.
- Company: Join a forward-thinking team focused on digital transformation.
- Benefits: Remote work, competitive pay, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and learning.
- Why this job: Make a real impact by turning data into decisions that drive change.
- Qualifications: Strong data analysis skills and experience with tools like Power BI and SQL.
The predicted salary is between 30000 - 40000 £ per year.
Location: Remote
Contract: Inside IR35
Duration: 3-months
Overview of the Programme
The Data Analyst delivers high quality analysis, reporting, and insight to support operational improvement and digital transformation. The role turns raw, inconsistent, or evolving data into structured datasets, clear reporting, and actionable insights. Working across multiple business areas, the analyst ensures data is accurate, reliable, and aligned to business needs.
Required Skills & Experience
- Strong understanding of data analysis principles and data modelling.
- Experience with structured and unstructured datasets.
- Ability to work with incomplete or evolving data.
- Knowledge of data quality, validation, and governance.
- Experience translating business requirements into data outputs.
- Power BI (dashboards, reporting, DAX), SQL for data extraction and transformation, Python or similar advantageous.
- Experience with Azure / Fabric desirable.
- Strong Excel and data manipulation skills.
Key Deliverables & Expected Outcomes
- Data Analysis, Preparation & Reporting
- Analyse and interpret data from multiple systems.
- Identify sources, structures, and required transformations.
- Clean, validate, and prepare datasets.
- Build data models and metrics using Power BI and DAX.
- Develop dashboards and reports that support decision-making.
- Create baselines, track key metrics, and structure comparisons (before/after, trends).
- Produce clear outputs that explain performance and outcomes.
- Requirements Gathering & Stakeholder Support
- Engage with users to understand reporting and data needs.
- Translate requirements into structured datasets or reports.
- Work with operational, commercial, finance, and digital teams to ensure outputs are relevant.
- Data Quality & Governance
- Perform data validation and consistency checks.
- Identify and escalate data quality issues.
- Maintain organised, traceable datasets and documentation.
- Performance & Impact Measurement
- Support measurement of operational and transformation initiatives.
- Maintain metrics frameworks and track performance trends.
- Contribute to baselines, ongoing tracking, and outcome comparisons.
- Highlight data limitations, assumptions, and risks.
- Operational & Project Support
- Support reporting cycles, data requests, and project analysis.
- Assist with baseline reporting and performance tracking.
- Work with teams to improve data capture at source.
- Continuous Improvement
- Identify opportunities to improve reporting processes and data quality.
- Support standardisation and better data practices.
- Coaching & Knowledge Sharing
- Contribute to training materials and guidance on reporting tools.
- Support and coach junior analysts and business users.
Locations
Junior Data Analyst in Leatherhead, Surrey employer: Oliver James
As a Junior Data Analyst at our company, you will thrive in a dynamic remote work environment that champions innovation and collaboration. We offer comprehensive training and development opportunities to enhance your skills in data analysis, while our supportive culture encourages knowledge sharing and continuous improvement. Join us to make a meaningful impact through data-driven insights that support operational excellence and digital transformation.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Analyst in Leatherhead, Surrey
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Oliver James before they're even advertised!
✨Show Off Your Skills With Projects
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.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Oliver James.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Oliver James.
We think you need these skills to ace Junior Data Analyst in Leatherhead, Surrey
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Oliver James, 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 Oliver James, 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 Oliver James’s attention and show the tangible impact of your work.
How to prepare for a job interview at Oliver James
✨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 Oliver James.
✨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 Oliver James.
✨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 Oliver James.
