At a Glance
- Tasks: Analyse data and create insightful reports to support business decisions.
- Company: Join Techtronic Industries, a leader in cordless technology with a dynamic culture.
- Benefits: Enjoy competitive salary, flexible working options, and opportunities for growth.
- Other info: Be part of a supportive team that values innovation and collaboration.
- Why this job: Make an impact by simplifying processes and enhancing data-driven decision-making.
- Qualifications: Experience in data analysis and reporting, with strong Excel skills.
The predicted salary is between 37800 - 46200 £ per year.
Techtronic Industries (TTI) is a world leader in cordless technology spanning power tools, accessories, hand tools, outdoor power equipment, as well as floorcare & cleaning products.
Our focus is on end-users that range from professionals in the industrial, construction and infrastructure sectors to DIYers in home improvement, repair, and maintenance.
TTI’s powerful brand portfolio includes MILWAUKEE®, RYOBI®, AEG® - recognized worldwide for their deep heritage and innovative product platforms of superior quality.
The company maintains a global manufacturing and product development footprint, with record world-wide sales of approximately US$15.2 billion and around 50,000 employees in 2026.
Hiring exceptional people is a top focus at TTI.
This drives a high-performance culture across all levels of our organization and helps to achieve our vision of being number one in the industries we serve.
Our unique high-speed decision-making process supports our acute focus on developing superior products and meeting high customer expectations.
We view our winning culture as a competitive advantage that powers our growth.
ABOUT THE ROLE
- Reporting to the EMEA Commercial Finance Director, you will act as the operational engine for the EMEA Commercial Finance team and the first point of contact for routine data and reporting requirements.
- Deliver reliable data, recurring reports, dashboards and process automation that enable Business stakeholders to focus on analysis, commercial challenge, influence and decision support.
- Own standard reporting production, data validation, master-data maintenance and dashboard support.
- Identify opportunities to simplify, standardise and automate recurring finance processes, improving the timeliness, accuracy and accessibility of commercial information.
- Bring strong analytical capability, attention to detail, clear communication and effective collaboration across Commercial Finance and the wider EMEA business.
Key responsibilities
- Reporting, data quality and dashboard delivery
- Prepare and deliver recurring EMEA, HK and US reporting submissions in line with agreed timetables.
- Produce Brand packs, KPI reports, scorecards and quarterly dashboards.
- Maintain standard reporting covering sales, margin, product, customer and market performance.
- Support executive dashboards and leadership reports.
- Manage routine reporting requests through clear, standardised and repeatable outputs.
- Produce standard product, SKU and customer data extracts for Finance and business stakeholders.
- Prepare datasets for recurring reporting, forecasting, budgeting and analytical requirements.
- Maintain product and customer hierarchies, metadata and master-data validation.
- Perform reconciliations and validation checks across source data, reports and dashboards.
- Investigate discrepancies with relevant data owners and maintain controlled reporting documentation.
- Maintain and refresh Qlik Sense dashboards within the agreed reporting portfolio.
- Perform dashboard testing and validation following data, logic or design changes.
- Deliver dashboard enhancements.
- Provide first-line support for routine dashboard and data-access questions.
- Maintain consistent KPI definitions and promote effective self-service reporting.
- Process improvement and automation
- Identify recurring manual reports and processes that can be simplified or automated.
- Develop sustainable solutions that reduce manual effort and spreadsheet dependency.
- Streamline data uploads, report-refresh processes and recurring data preparation.
- Standardise repetitive tasks, templates, controls and reporting routines.
- Apply AI tools responsibly and practically to improve productivity, strengthen analysis and forecasting, automate routine activities and support better business decision-making.
- Document processes and handovers to strengthen resilience and continuity.
- Planning, product reporting and stakeholder support
- Support forecasting and budgeting cycles through data preparation, templates and database maintenance.
- Provide timely technical reporting support during planning periods.
- Act as the first point of contact for routine Commercial Finance data and reporting requests.
- Clarify stakeholder requirements and translate them into repeatable outputs wherever possible.
- Build effective relationships with Commercial Finance partners, BI Developers and report users across EMEA.
- Prioritise work against agreed deadlines and business needs.
- Candidate profile
Essential experience and capabilities
- Experience in a data, reporting, finance analyst, business-intelligence or management-information role.
- Strong track record of preparing recurring business or financial reports.
- Confidence working with large datasets and reconciling information from multiple sources.
- Experience maintaining dashboards or reporting solutions and translating user requirements into clear, repeatable outputs.
- Advanced Excel capability.
- Working knowledge of at least one business-intelligence platform, preferably Qlik Sense and/or Power BI.
- Ability to extract, manipulate and validate data from multiple sources.
- Understanding of data structures, hierarchies, master data and KPI definitions.
- Strong AI literacy, demonstrated through the practical and responsible use of AI tools to improve productivity, analysis, forecasting and business decision-making.
- Strong documentation, testing and process-control discipline.
Desirable experience
- Experience within Commercial Finance, FP&A, sales finance or a related analytical function.
- Exposure to P&L reporting and sales, gross margin, product, customer or market datasets.
- Experience supporting budget and forecast cycles.
- Experience in reporting automation, structured reporting environments or regional and multi-country stakeholder support.
- #LI-SK1
- #LI-HYBRID
At TTI, we are committed to being an equal opportunity employer.
We believe in creating a supportive environment where everyone can thrive and grow.
If you're looking to join a forward-thinking company that values collaboration, innovation, and impact — we’d love to hear from you.
Apply now and be part of something exciting!
Visit https://www. ttigroup. com to find out more about us
Commercial Data & Insight Analyst - EMEA in Maidenhead employer: TTI
Techtronic Industries (TTI) is an exceptional employer that fosters a high-performance culture, encouraging innovation and collaboration among its 50,000 employees worldwide. As a Security & Network Engineer, you will benefit from a supportive environment that prioritises professional growth and mentorship, while working on cutting-edge technology in a dynamic industry. With a commitment to employee development and a focus on creating a 'secure by default' culture, TTI offers a unique opportunity to make a meaningful impact in a rapidly evolving field.
StudySmarter Expert Advice🤫
We think this is how you could land Commercial Data & Insight Analyst - EMEA in Maidenhead
✨Get to Grips with Data Visualisation Tools
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✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like TTI!
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We think you need these skills to ace Commercial Data & Insight Analyst - EMEA in Maidenhead
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at TTI, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at TTI
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with TTI’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
