At a Glance
- Tasks: Support data-led client projects and contribute to insightful recommendations.
- Company: Dynamic firm focused on B2B marketing and commercial strategy.
- Benefits: Permanent role, private healthcare, pension scheme, and hybrid working model.
- Other info: Structured onboarding and ongoing mentoring for professional growth.
- Why this job: Join a fast-paced team and accelerate your career in analytics and strategy.
- Qualifications: 1-2 years in B2B marketing or analytics; strong Excel and PowerPoint skills.
The predicted salary is between 30000 - 40000 £ per year.
We’re looking for an Analyst with 1-2 years’ experience to support data-led client projects across brand, marketing, and commercial strategy. This role is ideal for someone with early B2B marketing, research, or analytics experience who is ready to step up. You’ll bring strong quantitative and qualitative literacy, confidence in handling data, and the ability to layer on a strategic perspective – spotting patterns, interpreting meaning, and shaping insight-driven recommendations. You’ll work closely with our Partners, Consultants, Strategists and other Analysts, contributing to research, analysis, and high-quality deliverables. Through our career framework, mentoring, and ongoing learning you’ll have a clear pathway to accelerate through the analyst levels and into strategy roles.
Key Responsibilities
- Conduct quantitative and qualitative research to support client projects
- Analyse data, identify patterns, and contribute to insight generation
- Support competitor, audience, market, and commercial analysis
- Build and validate datasets, ensuring complete accuracy
- Support commercial modelling, benchmarking, and marketing performance diagnostics
- Fact-check and quality-assure all numbers and sources
- Create clear, structured slides that flow logically and tell a compelling story
- Support the development of reports, frameworks, and strategic recommendations
- Maintain Magnus’ high standards for detail, clarity, design, and rigour
- Work closely with senior team members to translate analysis into strategic direction
- Contribute to internal IP, templates, and methodology development
- Join internal sessions or client calls to strengthen consulting skills
Technical Skills
- Excellent Excel capability and confidence in manipulating datasets
- Excellent in PowerPoint, with ability to build clean, well-structured slides
- Familiarity with Google Analytics and general marketing analytics tools
- Experience with SEO tools, CRM platforms, or research tools is a plus
- Comfortable experimenting with AI tools to improve accuracy and efficiency
- Exposure to CRM systems such as HubSpot or Salesforce is a plus
Analytical & Strategic Thinking
- Understands core B2B marketing principles and commercial drivers
- Highly detail-oriented with excellent quality control instincts
- Curious, proactive, and eager to deepen analytical and strategic capability
Client & Team Collaboration
- Primarily internal-facing, with opportunities to observe or join client sessions
- Supports consultants with analysis, materials, and operational input
- Enthusiastic team player who contributes positively to project momentum
1–2 years’ experience in B2B marketing, analytics, consulting, or research. Ideally a degree in marketing, business, data, or equivalent experience. Experience working with both quantitative and qualitative data. Evidence of producing accurate, insight-led outputs.
What we offer
- Permanent, full-time role with clear progression through our analyst career framework
- Private healthcare, a pension scheme, enhanced holiday entitlement, and a range of wellbeing and professional development perks
- Hybrid working model – mostly remote apart from in-person collaboration in our London office (Tuesdays plus additional days as needed for team or client work)
- High-impact, insight-led work supporting marketing and commercial transformation for mid-market B2B clients (tech, SaaS, FS, PE and professional services)
- Structured onboarding to set you up for success, followed by ongoing mentoring, learning pathways, and skills development
- Fast-paced, supportive environment where quality, curiosity, collaboration, and momentum are core to how we deliver
Junior Analyst (Full Time) employer: Magnus Consulting
As a Junior Analyst at our London office, you'll thrive in a fast-paced, supportive environment that prioritises quality, curiosity, and collaboration. We offer a clear career progression through our analyst framework, alongside private healthcare, enhanced holiday entitlement, and a hybrid working model that balances remote work with essential in-person collaboration. Join us to contribute to impactful, insight-led projects for mid-market B2B clients while benefiting from structured onboarding and ongoing mentoring to accelerate your professional growth.
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We think this is how you could land Junior Analyst (Full Time)
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We think you need these skills to ace Junior Analyst (Full Time)
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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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How to prepare for a job interview at Magnus Consulting
✨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!
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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
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✨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.
