At a Glance
- Tasks: Analyse data, identify trends, and present insights to support HR & Finance transformations.
- Company: Join Veran Performance, a leading consultancy in back-office transformation.
- Benefits: Enjoy a dynamic work environment, hybrid model, and opportunities for professional growth.
- Other info: Collaborative culture with exciting projects and a focus on continuous learning.
- Why this job: Make a real impact by transforming businesses with your data skills.
- Qualifications: Experience in data analysis and visualisation tools; strong analytical skills required.
The predicted salary is between 36900 - 45100 £ per year.
Direct message the job poster from Veran Performance
Veran Performance is a technology‑agnostic consultancy that specialise in back‑office service enablement and transformation.
We’re one of the UK’s largest and most trusted back‑office transformation consultancies, supporting clients to transform their HR, Payroll, Finance and Procurement services.
Our mission is to help you deliver visible benefits to your business and end users.
We close the gap between your expectations of business transformation and the reality of what gets delivered, whether that is technology, process, or people change.
As a Consultant within our Data & Enterprise Architecture you will be responsible for collecting, processing, and analysing data, engaging with business subject matter experts and project teams to support the clients HR & Finance transformation programmes.
This role involves working with large datasets, identifying trends, and presenting actionable insights to stakeholders – you must be comfortable working with Excel and other data tools.
Responsibilities
- Gather data from multiple sources, such as internal databases, external APIs, and third‑party tools.
- Clean, validate, and transform raw data into usable formats.
- Maintain and update databases to ensure data integrity and accuracy.
- Perform statistical analysis to identify patterns, trends, and correlations.
- Conduct deep dives into specific business problems to provide recommendations based on data insights and solutions.
- Create dashboards, reports, and data visualisations using tools like Power BI, or Excel.
- Present findings to stakeholders clearly and concisely.
- Work closely with cross‑functional teams, including Technology, HR and Finance.
- Ensure compliance with data privacy and security standards.
Skills & Qualifications
- Previous experience in a data role.
- Experience with data visualisation tools (e. g., Tableau, Power BI, Looker).
- Knowledge of ETL processes and data warehousing concepts.
- Strong analytical and problem‑solving skills.
- Strong presentation skills, both written and verbal; able to describe complex technical problems to a variety of audiences.
- Ability to manage multiple projects and meet deadlines.
- Programming skills in Python, R, or other analytical tools (nice to have).
- Familiarity with statistical methods and machine learning algorithms (nice to have).
- Why you’ll love life at Veran
Veran Performance offers a dynamic and inclusive work environment that fosters growth, collaboration, and innovation.
As a team, we are driven by a shared passion for excellence, constantly challenging ourselves to exceed expectations and deliver outstanding results for our clients.
At Veran, every employee is valued and empowered to make a meaningful impact, contributing to the success and growth of the organisation.
We prioritise continuous learning and development, providing ample opportunities for professional growth and advancement.
With a supportive and welcoming culture, exciting projects, and a dedicated team, Veran Performance is truly a rewarding place to build a fulfilling career.
Join us and be part of our journey towards excellence!
We operate a hybrid working model, typically combining office and remote work, but remain flexible to suit individual and role needs.
Our teams are based across the UK, and we welcome applications from talented individuals regardless of location, provided they can attend in‑person meetings when needed.
Some roles may also require occasional travel to client sites, and we support our people to make these arrangements smoothly.
Please note visa sponsorship for candidates is not available for this role at this time.
- Seniority level
- Mid‑Senior level
- Employment type
- Full‑time
- Job function
- Consulting
Industries: Business Consulting and Services, Data Infrastructure and Analytics, and Technology, Information and Media
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Data Analyst in England employer: Veran Performance
Veran Performance is an exceptional employer that fosters a collaborative and innovative work culture, where Senior HR Transformation Consultants can thrive. With a strong focus on employee growth and development, we offer comprehensive training programs and opportunities to lead impactful projects in a hybrid work environment. Our commitment to technology-driven change not only enhances client outcomes but also empowers our team members to make meaningful contributions to the future of HR.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in England
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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 Veran Performance.
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We think you need these skills to ace Data Analyst in England
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 Veran Performance, 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 Veran Performance. 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 Veran Performance
✨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 Veran Performance!
✨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.