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- Tasks: Analyse data to drive informed decisions and improve business performance.
- Company: Join a leading manufacturing client with a supportive, team-oriented culture.
- Benefits: Enjoy hybrid working, 25 days holiday, bonuses, and health plans.
- Other info: Collaborate globally and grow your career in a dynamic environment.
- Why this job: Make a real impact by turning complex data into actionable insights.
- Qualifications: Strong Excel skills and experience with data visualisation tools like Power BI.
The predicted salary is between 35000 - 45000 ÂŁ per year.
We are looking for an experienced Data Analyst to join our manufacturing client’s Commercial Team and play a critical role in driving data‑informed decision‑making. This role requires strong analytical and statistical skills, advanced proficiency in data tools, and the ability to translate complex data into clear, impactful business recommendations. Initially this will be a 12‑month fixed‑term contract.
Responsibilities
- Act as the primary point of contact for all data‑related matters, ensuring accuracy, consistency, and accessibility across the organisation.
- Prepare data‑driven sales and product forecasts, including OTE projections, to support strategic planning, resource allocation, and performance.
- Track and analyse KPIs, delivering actionable insights to drive continuous improvement and operational efficiency.
- Develop and maintain business intelligence dashboards and reports, streamlining existing processes and introducing new efficiencies.
- Support pricing requests with robust pricing and product costing analysis to ensure competitiveness and profitability.
- Leverage AI‑driven tools and advanced analytics to inform strategic decisions and help uncover growth opportunities.
- Collaborate with global and cross‑functional teams to deliver high‑impact insights that drive commercial and operational success.
Qualifications
- Advanced Excel capability using complex formulas, data modelling, mapping, V‑lookup, pivot tables, IF statements.
- Proven ability to communicate complex data findings to non‑technical stakeholders through reports, visualisations, and presentations.
- Experience with Power BI, Tableau or similar, for reporting and dashboard development.
- Knowledge of statistical techniques and forecasting models to support predictive analysis and business planning.
- Experience in a data analytics, commercial analyst, or business intelligence role.
Benefits
- This business offers hybrid working and a friendly, team‑oriented culture.
- Great benefits include 25 days holiday (option to purchase up to 5 days), a generous bonus and pension scheme, Westfield Health Plan, employee assistance programme, life assurance, cycle‑to‑work scheme, recruitment referral scheme and Christmas shutdown.
Data Analyst employer: Venus Recruitment Ltd
Contact Detail:
Venus Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry and let them know you're on the hunt for a Data Analyst role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Get your hands dirty with data! Brush up on your Excel skills and familiarise yourself with tools like Power BI or Tableau. Being able to showcase your analytical prowess during interviews will definitely set you apart from the competition.
✨Tip Number 3
Prepare for those tricky interview questions! Think about how you can explain complex data findings in simple terms. Practising your storytelling skills will help you communicate your insights effectively to non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of resources to help you land that Data Analyst gig, and applying directly can sometimes give you an edge. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Analyst role. Highlight your analytical skills, experience with data tools like Excel and Power BI, and any relevant projects that showcase your ability to turn complex data into actionable insights.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for our team. Mention specific experiences that relate to the responsibilities listed in the job description, and don’t forget to show your enthusiasm for the role.
Showcase Your Technical Skills: We want to see your technical prowess! Be sure to include examples of how you've used advanced Excel functions, created dashboards, or applied statistical techniques in your previous roles. This will help us understand your capabilities right off the bat.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values.
How to prepare for a job interview at Venus Recruitment Ltd
✨Know Your Data Tools
Make sure you brush up on your skills with Excel, Power BI, and Tableau. Be ready to discuss how you've used these tools in past roles, and prepare to showcase your ability to create impactful dashboards and reports.
✨Translate Data into Insights
Practice explaining complex data findings in simple terms. Think of examples where you've turned data into actionable insights for non-technical stakeholders. This will show your ability to communicate effectively across teams.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical data-related problems. Prepare by thinking through how you would approach forecasting sales or analysing KPIs, and be ready to explain your thought process clearly.
✨Show Your Collaborative Spirit
Since the role involves working with cross-functional teams, be prepared to discuss your experience collaborating with others. Share specific examples of how you've worked together to drive commercial success and improve operational efficiency.