At a Glance
- Tasks: Transform data into impactful visual stories and support decision-making for clients.
- Company: Join a leading change consultancy focused on real-world impact.
- Benefits: Enjoy flexible time off, private medical plans, and enhanced parental leave.
- Other info: Dynamic work environment with opportunities for personal and professional growth.
- Why this job: Be at the forefront of data innovation and help businesses thrive.
- Qualifications: 3 years in consulting, strong SQL skills, and experience with data visualisation tools.
The predicted salary is between 54000 - 66000 £ per year.
MAKE STRATEGY A REALITY | ACCELERATE YOUR GROWTH | CHOOSE YOUR PATH
As the world's leading change and transformation consultancy, we're helping businesses move from strategy to reality by taking a pragmatic and practical approach to build solutions that last.
We're seeking a Consultant - Data Analyst (Reporting & Visualisation) in the Technology & Data Practice to help us take vision to value and create lasting impact.
SUMMARY: As a Consultant - Data Analyst, you will have hands-on capability in reporting, data visualisation and data modelling.
You will play a critical role in bridging modern data architectures, including guiding stakeholders across the end-to-end data lifecycle.
YOU WILL
- Have expertise in Power BI given Microsoft stack preference across our client base.
- Data modelling: you should be able to build and maintain semantic models, work upstream (engineering) as well as downstream (dashboard & reports).
- Experienced with Tableau, Looker and Fabric is a plus.
- Comfortable engaging directly with clients to translate requirements into clear, action-driven outputs.
- Have the ability to operate independently on reporting workstreams within a larger engagement.
- Go beyond report production to identify trends, risks and opportunities within datasets.
- Support executive-level decision-making through clear storytelling and visual communication.
- Identify, analyse and resolve data quality issues affecting reporting outcomes.
- Support implementation of data governance standards, metric definitions and data ownership models.
- Contribute to data cataloguing, metadata and business glossary activities where required.
IDEALLY, WE'D LIKE
- Bachelors degree in computer science, information systems or a relevant field.
- 3 years of work experience in a consulting or client-facing environment.
- Have worked closely with Data Engineers, Architects and Product Owners to support end-to-end data solutions.
- Created high-quality client deliverables and recommendations.
- Has supported client adoption of reporting solutions through training and enablement.
- Working exposure to at least one of AWS, GCP or AWS.
- Strong SQL skills for data extraction, transformation and analysis.
- Experience working with dimensional modelling concepts (e. g. Star Schema, Kimball principles).
- Understanding of Data Warehousing, Lakehouse and Medallion architectures.
TOTAL REWARDS
Total Rewards associated with this position include a comprehensive benefits package designed to support your well-being and financial security.
Unique perks include flexible time off, a private medical plan, a health cash plan, a workplace savings scheme (including ISAs and GIAs), and enhanced parental leave.
Applicants must be authorised to work in the United Kingdom, without the need for visa sponsorship by North Highland.
Work visa sponsorship will not be provided, either now or in the future, for this position.
North Highland is an equal opportunity employer, and we adhere to all applicable laws and regulations to ensure a fair and equitable workplace.
All qualified applicants will receive fair and impartial consideration without regard to race, colour, sex, gender identity, religion, national origin, age, sexual orientation, disability, veteran status, or any other characteristic protected by law.
We handle all information in accordance with local privacy standards and maintain strict confidentiality.
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Consultant, Data Analyst (Reporting & Visualisation) in London employer: North Highland
North Highland is an exceptional employer, offering a dynamic work culture in the heart of London that prioritises employee well-being and professional growth. With a comprehensive benefits package including flexible time off and private medical plans, we empower our team to thrive while delivering impactful strategies in the Retail & Consumer Goods sector. Join us to be part of a supportive environment that values innovation and fosters strong client relationships.
StudySmarter Expert Advice🤫
We think this is how you could land Consultant, Data Analyst (Reporting & Visualisation) in London
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We think you need these skills to ace Consultant, Data Analyst (Reporting & Visualisation) in London
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!
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Craft a Tailored Cover Letter:For a full-time role at North Highland, 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 North Highland. 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 North Highland
✨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 North Highland!
✨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.
