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  • Market Research Analyst
    Market Research Analyst
    2 days ago
    £35000–£40000 yearly
    Full-time
    Levenshulme, Manchester

    We are seeking an experienced Digital Marketing Analyst to join our rapidly expanding team, supporting our client in the North of England. You will work alongside passionate, driven consultants in a fast-paced environment, playing a pivotal role in shaping our client's digital marketing strategy by driving data analytics initiatives across all paid and owned channels. Predominantly, you will create and present your own analysis using various analytics platforms (e.g., Google Analytics, Adobe Analytics, platform-specific insights) to measure, optimize, and report on marketing performance. You will collaborate closely with marketing managers, media buyers, and insights specialists to create bespoke insights that directly influence campaign strategies, budget allocation, and ROI. In today's competitive digital landscape, understanding channel performance, customer acquisition cost, and lifetime value is essential for efficient growth. As such, the Digital Marketing Analyst will be responsible for developing and implementing robust analytics frameworks for attribution, testing, and reporting that ensure our insights are both relevant and actionable. This role demands a blend of analytical rigor and commercial acumen, with a focus on identifying optimization opportunities, uncovering trends in customer behavior, and delivering insights that drive data-informed decision-making for the marketing team. Ultimately, this role is about more than just reporting numbers; it is about being a key advisor to the marketing team, unlocking critical insights that drive customer acquisition, retention, and commercial success, ensuring our client's ecommerce business remains a leader in its sector. The role will be Hybrid/North England for up to 3 days per week as required. Key Responsibilities: 1. Performance Analysis & Optimization:, 2. Analyze performance data across all digital marketing channels (e.g., Paid Search, Paid Social, Programmatic Display, Affiliate, Email) to evaluate ROI, CAC, and efficiency., 3. Conduct deep-dive analyses into campaign performance, audience segmentation, and creative testing to generate actionable recommendations for optimization., 4. Develop and maintain dashboards and automated reports to provide the marketing team with clear, timely visibility into channel and campaign KPIs., 5. Attribution & Customer Journey Insights:, 6. Manage and interpret multi-touch attribution models to understand the true contribution of each marketing channel throughout the customer journey., 7. Analyze the path-to-purchase, identifying key touchpoints and potential drop-off points to advise on budget reallocation and channel strategy., 8. Collaborate with the broader insights team to integrate marketing data with ecommerce and customer data for a holistic view., 9. Strategic Advisory & Reporting:, 10. Act as a key advisor to the digital marketing managers, ensuring data insights are integrated into planning, budgeting, and tactical execution., 11. Prepare and present regular performance reports and strategic recommendations to senior leadership, translating complex data into clear business stories., 12. Establish and monitor KPIs for marketing initiatives, measuring effectiveness against business objectives., 13. Testing & Experimentation Framework:, 14. Design measurement plans for A/B and multivariate tests across marketing channels (landing pages, ad creative, email subject lines)., 15. Analyze test results to provide statistically sound recommendations that enhance conversion rates and user experience., 16. Tool Management & Collaboration:, 17. Become an expert user of analytics and marketing platforms (e.g., Google Marketing Platform, Meta Business Suite, GA4)., 18. Ensure accurate tracking implementation (e.g., UTMs, pixels, conversion tags) in collaboration with marketing and tech teams. • Requirement to be in the client's offices in Yorkshire a minimum of 3 days per week., • 3-4+ years of experience as a Digital Marketing Analyst, Performance Analyst, or in a similar role within an ecommerce business, digital agency, or marketing consultancy., • Proven experience in analyzing performance data for key digital channels (Paid Social, PPC, Programmatic, Email)., • Strong analytical and data visualization skills, with advanced proficiency in Excel (pivot tables, lookups), Google Analytics 4 (or similar), Data Studio/Looker Studio, and PowerPoint., • Experience with BI tools (e.g., Power BI, Tableau) and understanding of SQL for data extraction is a strong advantage., • Exceptional communication and presentation skills, with the ability to translate complex performance data into actionable strategies for marketers., • Strong understanding of digital marketing metrics, attribution models, and customer lifetime value (CLV) concepts., • An active learner with an inquisitive mind, a talent for problem-solving, and a love for collaboration within a high-performing team.

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  • Data Science Placement Programme
    Data Science Placement Programme
    18 days ago
    £25000–£45000 yearly
    Full-time
    Manchester

    Are you looking to kick-start a new career as a Data Scientist? We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee (£25K-£45K) within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a starting salary of £25K-£45K. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees back. We have a proven track record of placing 1000+ candidates into new roles each year. Check out our website for our latest success stories. Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch.

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