At a Glance
- Tasks: Lead data strategy and analytics to drive smarter decision-making across the organisation.
- Company: Join JLA, a leader in providing essential services for various sectors.
- Benefits: Enjoy a comprehensive benefits package including wellness support, gym access, and flexible working options.
- Other info: Be part of a supportive culture that values your growth and well-being.
- Why this job: Make a real impact by transforming how we use data to understand our customers and markets.
- Qualifications: 10 years in data analytics with proven leadership and campaign management experience.
The predicted salary is between 48000 - 72000 £ per year.
JLA has been providing critical assets and services to a range of businesses and sectors including Care Homes, Hospitals, Schools, and Hotels for over 50 years. These assets and services are crucial in supporting customers with their Laundry, Catering, Heating, Fire Safety, Infection Control, and Air Conditioning. The company offers a unique, all-inclusive package called Total Care, this rental model allows customers to make a single monthly payment, to receive brand new equipment, and have maintenance costs taken care of.
As Head of Data Analytics, you will lead our data strategy and analytics capability, enabling smarter, faster decision-making across the organisation. You will oversee data governance, advanced analytics, and insight delivery – transforming how the business uses data to understand customers, markets, and performance. You will lead a team of analysts to (a) gather and interpret data to inform strategic and operational decision making, and (b) segment data and present data so that it can be used for outbound marketing campaigns activated via telemarketing and email channels.
Key tasks
- Develop the marketing intelligence and insight strategy. Define the marketing intelligence roadmap ensuring that data underpins marketing and commercial decision making.
- Design segmentation. Develop customer segmentation and value-based marketing models, defining priority audiences by needs, behaviour, and commercial potential.
- Enhance data. Lead data enrichment, acquisition, and insight programmes to continuously improve the quality and reach of our customer database.
- Deliver customer insights. Analyse customer behaviour, feedback, and churn dynamics to inform decisions on retention, acquisition, and optimising the customer lifecycle.
- Create and manage data-led campaigns. Developing high quality, compliant data lists for use by telemarketing and sales teams to drive lead generation and conversion activity.
- Generate reporting that drives ROI. Build and maintain marketing dashboards and reporting frameworks that provide visibility of campaign, segment, and market performance.
- Lead a team. Lead and develop a team of analysts and insight specialists to deliver actionable intelligence at speed and scale.
- Work across the business. Partner with marketing, sales, operations, customer, and technology teams to translate insight into actionable strategies.
- Champion data. Drive adoption of BI tools, data literacy, and self-service analytics across the business, championing data literacy and curiosity across the marketing team, embedding a culture of informed, evidence-based decision making.
Knowledge and Skills
- Proven leadership experience in marketing and data analytics, business intelligence, customer insight and marketing operations.
- Proven ability to design and deliver data-led marketing campaigns that feed into telemarketing or inside sales teams.
- Strong understanding of segmentation, campaign targeting, and CRM data management.
- Experienced in using BI tools (Power BI, Google Data Studio) and CRM / marketing automation platforms (Salesforce, Dynamics, HubSpot etc.).
- Proficient in SQL.
- Strong commercial mindset with the ability to link data insight to business outcomes.
- Deep technical expertise in analytics platforms, data visualisation tools, and statistical modelling.
- Experience in service-orientated and commercial B2B sectors is an advantage.
Experience
- 10 years’ experience in data and analytics.
- 5 years’ experience in lead generation.
- Experience of leading a team.
- Excellent stakeholder management and communication skills.
Benefits
When you join the JLA family, you'll also gain access to an extensive benefits package. We care about our people and take your well-being seriously, which is why we offer a range of supportive tools for health and wellbeing, financial guidance, and legal advice. Our Employee Assistance Programme, 24/7 Wellness and Lifestyle App plus a dedicated team of Mental Health First Aiders are there to support you through life's challenges. We also offer up to 8 counselling sessions, which can be in-person or remote, providing you with the support and flexibility to suit your own personal needs. You can reach any fitness goals with our free onsite gym at head office along with a range of other gym membership discounts available. To offer financial support, we not only provide life assurance coverage, company sick pay, and a company pension scheme, we offer a range of added benefits such as free office parking, eye care vouchers, a cycle-to-work scheme, and exclusive discounts through our staff benefits hub. We really pride ourselves in offering a healthy work-life balance and believe it is important to have time away to recharge which is why we provide 25 days of annual leave plus bank holidays, flexible working options, and enhanced family leave policies. We are a company that appreciates you and invests in your success and even have a Colleague Recognition Scheme to celebrate your achievements. We're dedicated to your growth, offering support in career development and training. We value your referrals, and through our Refer a Friend scheme, you can earn up to £1,000 in bonus rewards!
Head of Data Analytics in Ripponden employer: JLA Group
JLA is an exceptional employer that prioritises the well-being and growth of its employees, offering a comprehensive benefits package that includes health and wellness support, flexible working options, and generous annual leave. With a strong focus on career development and a culture that champions data-driven decision-making, JLA provides a dynamic environment for the Head of Data Analytics to lead innovative projects while enjoying a healthy work-life balance in a supportive team atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Analytics in Ripponden
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We think you need these skills to ace Head of Data Analytics in Ripponden
Some tips for your application 🫡
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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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at JLA Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at JLA Group
✨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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✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at JLA Group!
✨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.