At a Glance
- Tasks: Lead data-driven insights and analytics to drive business value and innovation.
- Company: Join TalkTalk, the UK's most recommended Wi-Fi provider with a focus on simplicity.
- Benefits: Enjoy flexible hybrid working, generous holiday, private healthcare, and big discounts.
- Other info: Collaborative culture with opportunities for mentorship and career growth.
- Why this job: Make a real impact by leveraging data to enhance customer experiences and drive success.
- Qualifications: Strong technical skills in analytics, research, and effective stakeholder management.
The predicted salary is between 43200 - 72000 £ per year.
This range is provided by TalkTalk. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
About TalkTalk
TalkTalk’s vision is to be the most recommended Wi‑Fi provider in the UK by 2028 with a growing, profitable base. Success requires that we simplify what we do, who we do it with, and reduce the cost of how we do it. TalkTalk is the uncomplicated way to get excellent in‑home Wi‑Fi coverage, we stand out from the crowd by offering intelligent but simple products that work perfectly first‑time, without fuss or incomprehensible jargon, and our customer service is the best in the industry. Our aim is to deliver simplified & customer delighting Wi‑Fi products and a more digital customer & employee experience. This is enabled by a technology platform that leverages data to drive innovation, decision‑making, and automation, ultimately providing a more cost‑efficient service for our customers.
Role
The role has been created to service the increasing business demand to deliver value through leveraging insights, analytics and market research. The individual will provide both technical and strategic direction to the teams to deliver data products aligned to business needs and unlock tangible business value.
Responsibilities
- Identify, prioritise and deliver data products aligned to business needs.
- Collaborate with stakeholders across different departments.
- Communicate insights to a range of stakeholders at different seniority and levels of technical capabilities.
- Ensure compliance with all applicable data related internal governance, regulatory and legal requirements.
- Day‑to‑day management of data teams.
- Manage relationships with third‑party vendors.
- Provide both technical and strategic guidance and mentorship to other team members.
- Lead, mentor, upskill and demonstrate best practices to other team members.
- Foster a collaborative and inclusive culture across different teams.
Knowledge, Skills & Experience
- Strong understanding of current and emerging technologies with a focus on how these could deliver business value.
- Depth and breadth of relevant technical skills, including but not limited to qualitative and quantitative research, survey design, statistics, mathematics, market and operations research and behaviour science.
- Knowledge of applicable governance and ethical frameworks and guidance.
- Experience of using CRM, market analytics, survey and research platforms.
- Effective stakeholder management skills with ability to influence at different organisational levels.
- Ability to execute projects, simplify complexity and align deliverables to business values at pace with a clear focus on delivering value.
- Experience of effectively leading (both strategic and technical) teams of varied skill levels & expertise.
- Proven record in taking projects from inception through to completion.
- Tenacious and resilient mentality with a can‑do attitude.
What We Offer
- Flexible hybrid working – with a minimum of 50% office presence to support teamwork and connection.
- Collaborative office spaces designed for creative thinking and innovation.
- Free on‑site parking at our offices.
- Generous holiday package – 25 days annual leave, 3 wellbeing days, and your birthday off (plus the option to buy up to 10 more days!).
- Private healthcare for all employees.
- Competitive pension scheme and performance‑related bonus opportunities.
- Free broadband for all employees.
- Life event gifts – celebrating milestones like marriages and births.
- Inclusive employee networks – open to all, supporting peer connection and thought‑provoking conversations.
- Salary sacrifice scheme – save on dental, gym, and more.
- Big retail and leisure discounts.
- 3 paid volunteering days a year – because making a difference matters to us too.
Seniority level: Director
Employment type: Full‑time
Job function: Information Technology
Industries: Telecommunications
Head of Insights, Analytics & Market Research in Manchester employer: TalkTalk
Talktalk is an excellent employer that values innovation and collaboration, providing a dynamic work environment in Salford. Employees benefit from comprehensive training programmes, opportunities for career advancement, and a culture that encourages creativity and teamwork. With a focus on employee well-being and a commitment to delivering exceptional customer experiences, Talktalk stands out as a rewarding place to build a meaningful career in the telecommunications industry.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Insights, Analytics & Market Research in Manchester
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like TalkTalk.
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We think you need these skills to ace Head of Insights, Analytics & Market Research in Manchester
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at TalkTalk, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at TalkTalk. 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 TalkTalk
✨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!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨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 TalkTalk!
✨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.
