cover image
Luxfer MEL Technologies

Marketing & Sales Data Analyst

On site

Swinton, United Kingdom

Full Time

11-03-2025

Job Specifications

Job Title: Marketing & Sales Data AnalystSalary: Up to £27,000 per year, plus benefits, on-site parking, Enhanced pension, potential to earn annual bonus and moreLocation: Manchester, UKJob Type: Full-Time, Office-BasedLuxfer Graphic Arts is looking for a dynamic and detail-oriented Marketing & Sales Data Analyst to join our Sales and Marketing team. The ideal candidate will have at least 12 months' experience in a similar analytical role, although entry-level candidates with a strong aptitude for learning are also welcome to apply.This is a varied and exciting role where you will assist in data collection, analysis, and the creation of engaging marketing content for both new and existing products. If you are a self-motivated, highly organised individual with a keen eye for detail and creativity, we’d love to hear from you.Key Responsibilities:Marketing & Sales Data Analyst
Assist in creating engaging marketing content for brand recognition, including print and digital content, presentations, website content, social media posts, press releases, and newsletters.
Support the Sales & Marketing team with feedback and ideas for future marketing activities.
Generate and provide monthly sales data reports to the sales team and senior management.
Analyse sales data and provide insights into business trends.
Produce, collate, and present sales data during business review meetings.
Develop and maintain reports and dashboards using Microsoft Power BI.
Provide transactional support using AXIS to ensure business continuity as needed.
Skills & Experience:Marketing & Sales Data Analyst
Analytical skills: Strong ability to collect, organize, analyse, and interpret large sets of data.
Attention to detail: Accuracy is key in this role.
Excel proficiency: Advanced skills required, including macros, pivot tables, formulas, and data visualization.
Communication skills: Ability to clearly convey information and answer questions effectively.
Creativity: Assist in developing creative marketing content for social media and websites.
Organisational skills: Able to prioritise tasks in a fast-paced environment.
Team player: Must be able to collaborate effectively with a team while also working independently.
Desirable knowledge of Power BI: Training will be provided if needed.
Aptitude for learning: Ability to quickly take on new challenges and develop new skills.
Educational Requirements:Marketing & Sales Data Analyst
Minimum: A Levels.
Desirable: HND or equivalent qualification in Data Analytics, Marketing, Finance, Accounting, Business Studies, or related subjects containing statistical training.
Systems Knowledge:Marketing & Sales Data Analyst
AXIS, Power BI (desirable but not essential), Microsoft Office Suite
If you are looking to grow your career in marketing and data analysis with a forward-thinking company, we would love to hear from you. Apply now to join Luxfer Graphic Arts!How to Apply:Please submit your CV outlining your suitability for the role. We are looking forward to meeting you!Luxfer Graphic Arts is an equal opportunity employer.
As a Disability Confident employer, we will ensure that a fair and proportionate number of disabled applicants that meet the minimum criteria for this position will be offered an interview. If you wish to request that your application be considered under the terms of our Guaranteed Interview Scheme, please explicitly state so in your CV and / or accompanying cover letter.
Powered by JazzHR
uxAgFUs3fK

About the Company

Luxfer MEL Technologies is a global leader in the development, manufacture and supply of Magnesium and Zirconium based products and services to technology industries worldwide. We have a wide range of products, including Cast & Machined Magnesium Billet, Magnesium Casting Alloys, Magnesium Extruded Bar, Rod & Profiles, Pure Zirconium Oxides, Doped Zirconia’s and Reactive Zirconium Chemicals, serving high-end markets, such as Aerospace, Automotive, Healthcare, Defence, Oil & Gas, Environmental, Protection and Speciality. ... Know more

Related Jobs

Company background Company brand
Company Name
First Rate Exchange Services
Job Title
Senior Data Engineer
Job Description
About the job Please note we cannot provide visa support or sponsorship for this role. Applicants must have the legal right to work in the UK without requiring sponsorship now or in the future. First Rate is the UK’s largest supplier of foreign currency and a top 5 currency wholesaler globally. We are one of the foremost foreign exchange (FX) experts in the industry, with a multi-billion pound wholesale business and over 20 years’ trusted experience providing tailor-made travel money solutions for companies in the finance, travel and retail sectors. We have a vacancy for a Senior Data Engineer who will have Technical ownership over First Rate’s data infrastructure, maintaining and continuously developing our data fabric. to own, develop and maintain our MS Fabric. The Role Technical Ownership of Data Infrastructure: Take full responsibility for the end-to-end architecture, management and scalability of our data infrastructure. Development of Data Fabric: Maintain and continuously enhance the data fabric, ensuring data flow, transformation and integration meet the business's evolving needs. Cross-Departmental Collaboration: Work closely with IT, MI and business units to understand and prioritise data needs while implementing technical solutions. Governance and Security: Ensure compliance with data governance policies, security protocols, and best practices for data privacy and protection. Data Architecture Design and Development: Design, implement, and optimise scalable data pipelines and infrastructure in Microsoft Azure, with a focus on MS Fabric, Synapse, and Data Factory. Continuous Improvement: Lead efforts to streamline and improve data processes, ensuring seamless and efficient data ingestion, transformation, storage and querying. Monitoring and Troubleshooting: Proactively monitor data systems to identify bottlenecks, performance issues, and risks, providing timely resolutions. Data Integration: Ensure efficient integration of various data sources across the organisation. Automation and Optimisation: Automate routine tasks such as data backups, ETL processes and error handling to increase operational efficiency. Documentation and Best Practices: Maintain clear documentation on data infrastructure, processes and procedures, ensuring adherence to best practices and standard operating procedures. Leadership and Mentorship: Provide guidance and mentorship to junior engineers, helping foster a collaborative, growth-driven environment within the data team. The Candidate The ideal candidate will have: In-depth knowledge of Microsoft Azure services (Azure Synapse Analytics, Azure Data Factory, Azure Data Lake/OneLake, Azure DevOps, and, ideally, MS Fabric). Strong background in data engineering, design of database structures, data warehousing concepts, data modelling, schema design, ETL and data transformation. Well-versed in GitHub, Python, SQL, Spark and DevOps practices and tools, including CI-CD pipelines. Experience in implementing and managing data governance, security and privacy standards in a cloud environment. Proven track record of building scalable data systems and optimising them for performance and cost-efficiency. Professional certifications in Azure (Azure Data Engineer Associate, Microsoft Certified: Azure Solutions Architect Expert) are a plus. We offer a successful, dynamic and supportive environment where people with talent and dedication can learn, grow and thrive at every level. Diversity Statement First Rate is committed to eliminating discrimination and encouraging diversity in its workforce. We aim to create a culture that respects and values each other’s differences, that promotes dignity, equity and diversity and that encourages individuals to develop and maximise their true potential.
Datchet, United Kingdom
On site
Full Time
12-03-2025
Company background Company brand
Company Name
Harnham
Job Title
Market Research Data Analyst
Job Description
MARKET RESEARCH DATA ANALYST LONDON – HYBRID (2 DAYS IN OFFICE) UP TO £38,000 + BENEFITS THE COMPANY A leading market research agency is looking for a Market Research Analyst to join their growing analytics team. This is a great opportunity to work on a variety of projects, applying statistical techniques to deliver actionable insights for major clients. You’ll be an integral part of both the analytics and wider research teams, developing your skills in segmentation, driver analysis, and other advanced methodologies. THE ROLE As a Market Research Analyst, you will: Support the design and execution of research projects with an analytical component, such as segmentation and driver analysis. Clean and analyze survey data, producing anything from basic tables to complex data-driven insights. Work closely with internal teams to ensure the appropriate statistical techniques are applied to projects. Develop expertise in both standard and advanced marketing analytics techniques, with support from senior team members. Communicate findings clearly to both technical and non-technical stakeholders. YOUR SKILLS & EXPERIENCE To be successful in this role, you will need: Proficiency in R, including data wrangling (apply family of functions), simple function writing, and string processing. Experience with analytical techniques such as regression (linear, logistic, Shapley), segmentation, MaxDiff, conjoint, and pricing models (Van Westendorp, Gabor-Granger) would be beneficial. Strong Excel and PowerPoint skills for data analysis and reporting. Knowledge of SPSS syntax, Excel Macros, or VBA is a plus. A data-driven mindset, with the ability to interpret key client questions and extract meaningful insights. An appreciation for storytelling with data, ensuring insights go beyond models and techniques. THE BENEFITS Up to £38,000 salary (DOE). Flexible hybrid working (2 days in London office). Hands-on exposure to a wide range of analytical techniques. Opportunity to work on high-profile market research projects with top brands.
London, United Kingdom
Hybrid
Full Time
12-03-2025
Company background Company brand
Company Name
Beauty Pie
Job Title
Data Scientist - Experimentation
Job Description
We’re Beauty Pie. We’re the world’s first luxury beauty and wellness buyers’ club. And we’re disrupting the beauty industry, one face cream at a time. Before we arrived on the scene, if you wanted really great beauty products, you had to shop at traditional beauty retail - and overpay for all the crazy markups. Now, our members have access to shop from the best-quality beauty and wellness products (from the leading labs in France, Switzerland, Italy, Germany, Japan, Korea, etc) and get a bigger piece of the Beauty Pie. So, what will you be doing? Alongside your manager, working with leaders across Beauty Pie to build a data-driven culture with experimentation at its heart. In partnership with the team, help the different functions across Beauty Pie to run more experiments and leverage insights generated to inform our product strategy. Use your broad exposure to Beauty Pie’s data and priorities to self-identify and recommend areas of optimisation. Alongside your manager, partner with stakeholders to define experiment objectives and translate business objectives into high impact analytical questions and experiments. In partnership with the data team, present findings and recommendations to leaders and stakeholders in a clear and compelling manner. Partner with stakeholders and engineering to design high quality experiments, ensuring that best practice is followed and statistical rigor is maintained. Collaborate with your manager and the wider data team to ensure we deliver impact to the business In partnership with insight analytics team, role model experimentation across Beauty Pie. Stay up-to-date with industry trends, best practices, and emerging technologies in experimentation and statistics We believe it's all about mindset, great skills, the right attitude and a fantastic work ethic. If you’re aligned to our values, excited about the opportunity, and you’re really good at what you do (even if you don’t tick all the boxes) apply anyway! You have strong experience working as a product analyst or data scientist focussed statistical inference, preferably for a consumer-focussed business. You thrive in ambiguity, ask incisive questions, take a structured approach to problem-solving and provide clarity You enjoy collaborating with data peers, in data engineering and data science You're technically confident, and are comfortable analysing complex, cross domain behavioural data through SQL and Python. What makes someone ‘Beauty Pie’? Our culture is our DNA. It defines who we are, how we operate and how we hire. And it all springs from our values, which are very important to us: Bring Your ‘A’ Game: Take ownership & accountability. Make sh*t happen. Grow. Support. Evolve. Invent. Be open-minded. Be Intelligently Rebellious: Challenge the status quo. Push boundaries. Embrace change. Think BIG. Be Customer Obsessed: Listen & learn. Take ownership. Act fast. Be humble & empathetic. Build & keep trust. Be grateful for feedback. It’s All For One (& One For All): Take advantage of collective intelligence. Act with integrity. Support & challenge. Embrace individuality. Do right by our company, our members, our colleagues & our environment. We’re committed to diversity & inclusion As a business that’s based on fairness and self-worth, our commitment to inclusivity runs through the heart of everything we do. We believe that innovation and creativity come from having a diverse workforce, and are committed to building teams with unique identities, from different backgrounds and with individual perspectives. We’ve got a long way to go, but here’s how we’re doing as of June 2024: Employees who identify as female: 68% Employees from minority ethnic backgrounds: 28% Employees who identify as living with a disability: 10% Employees who identify as female in our Product Engineering teams: 32% Employees who identify as LGBTQIA+: 13% A bit about our ways of working We thrive on a high-performance culture where action drives results. At Beauty Pie, we trust our teams to take ownership, move fast, and get the job done. We operate on a hybrid model, with a minimum of three days in the office each week— with some roles requiring more which will be outlined in the job spec. This structure fosters collaboration, maintains momentum, and strengthens our team environment while allowing some flexibility based on job responsibilities and business needs. In-person connection is essential to how we work, and we expect teams to be present and engaged. We encourage open discussions during the interview process to align expectations for the role you are applying for. Your piece of the Beauty Pie: Life & Balance Free Membership to Beauty Pie + discount off our products 25 days holiday & your birthday off / 22 vacation days for the US team Flexible bank holidays Equal leave for all new parents regardless of gender or personal circumstances Health & Wellbeing Private Medical Insurance Menopause support £2,500 / $2,500 to spend on your fertility journey after 2 years service 10 therapy sessions through AXA PPP So, what are you waiting for? Apply now for a chance to be part of an inspirational, international and talented team. Beauty Pie is an equal opportunity employer. The company will not unlawfully discriminate on grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, religion or belief, colour, nationality, ethnic or national origin, disability or age, pregnancy or trade union membership. Please let us know, if you require reasonable adjustments at any point during the application and/or recruitment process.
London, United Kingdom
Hybrid
Full Time
11-03-2025
Company background Company brand
Company Name
Fruition IT
Job Title
Data Engineer
Job Description
Data Engineer Remote with adhoc travel - Nottingham Up to £65,000 Why apply? Fruition IT are working with a leading player in its industry, committed to delivering data-driven insights that enhance business performance. With a strong focus on innovation, the company leverages cutting-edge technology to optimise operations and improve customer experiences. You will play a key role in designing, developing, and maintaining the organisation's data infrastructure. You'll work closely with stakeholders across the business, including product managers, analysts, and software developers, to ensure seamless data integration and reporting capabilities. This role will focus on building and optimising data pipelines, managing data warehousing, and ensuring high-quality data is available for business decision-making. Responsibilities: Data Pipeline Development: Design, build, and maintain ETL (Extract, Transform, Load) processes to enable efficient data ingestion and transformation. Database Management: Support and optimise SQL databases, ensuring performance, reliability, and data integrity. SQL Replication: Manage and maintain SQL replication to ensure data consistency across systems. SSIS & Data Integration: Develop and maintain SQL Server Integration Services (SSIS) packages to support data workflows. Data Warehousing: Work on pulling and structuring data warehousing solutions for efficient storage and retrieval. Power BI & Reporting: Develop dashboards and visualisations using Power BI to support data-driven decision-making. Azure Data Factory: Leverage Azure Data Factory to build and orchestrate cloud-based data pipelines. Collaboration: Work closely with data analysts, software engineers, and business stakeholders to understand data needs and develop solutions. Requirements: Strong SQL development and optimisation skills. Experience with SQL Server Integration Services (SSIS) and SQL replication. Hands-on experience with Visual Studio for database development. Proficiency in Power BI for creating reports and dashboards. Experience with Azure Data Factory for cloud-based data integration. Understanding of data warehousing concepts and best practices. Strong analytical and problem-solving skills. Ability to work independently and collaboratively in a fast-paced environment. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age.
Nottingham, United Kingdom
On site
Full Time
12-03-2025