Data Analyst

Tesco; Welwyn Garden City; On-site; GBP 30,000 - 60,000; Full time

Job description

What’s in it for you

We’re all about the little helps. That’s why we give our wonderful colleagues bags of benefits. Including wellbeing services, an award-winning pension scheme and much, much more, our colleague reward package keeps on giving. And helps make every day a little better for you and your family. These include but are not limited to:

• Annual bonus scheme of up to 20% of base salary
• Holiday starting at 25 days plus a personal day (plus Bank holidays)
• Buy holiday salary sacrifice scheme (for salaried roles)
• Private medical insurance
• Retirement savings plan - save between 4% and 7.5% and Tesco will match your contribution
• Life Assurance - 5 x contractual pay
• 26 weeks maternity and adoption leave (after 1 years’ service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 4 weeks fully paid paternity leave
• The right to request flexible working from your first day with us
• Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing
• A Colleague Clubcard for you & a family member (after 3 months of service), giving you access to lots of discounts in-store & online
• Great colleague deals and discounts, saving you money on everyday purchases, eating out and utility bills for the home
• Access to our colleague networks providing a space for colleagues to come together from a range of backgrounds.
• Opportunities to get on - take advantage of our ongoing learning opportunities and award-winning training, to help you achieve the job and career you want

About The Role

This role sits in the central Analytics & Insight Chapter and supports our I Choose & I Love Tribes to understand our customers and provide insights and actionable recommendations that help to achieve our business objectives.

The position will require a solid understanding of SQL and technical skills, so that you are able to mine internal data and provide highly actionable insight to the business. Analysing marketing campaign performance, media effectiveness and making recommendations for continual improvement will also be central to the role.

You will be responsible for:

• Receive and develop briefs from Product Owners and work collaboratively to ensure work of the highest quality
• Participate in all squad ceremonies and events, raising impediments as soon as identified to facilitate delivery
• Inspect and adapt your way of working for continuous improvement
• Embody an Agile mindset and culture to contribute to the growth in agile maturity of our business
• Provide accurate, insightful and timely analysis to the business to help them make better decisions and enable Tesco Mobile to serve its customers a little better every day
• Ability to simplify the complex and generate precise insights then communicate them clearly
• Continually look to improve processes through efficiencies and by applying best practice
• Combine internal data with other data sources to provide a holistic view
• Challenge the stakeholders and the business backlogs to focus work around the areas that really matter
• Actively add to the Squads backlog with work that would benefit customers
• Steer the agenda and be a trusted partner for work
• Ability to develop and maintain an analytics roadmap for continuous insight delivery improvement

You will need:

• Good interpersonal skills so that you can work closely with the squads you support
• Skilled at adapting communication for both technical and non-technical audiences
• A genuine curiosity about acquiring insight from large data sets and sharing those insights with the wider business
• Highly skilled at creating engaging, actionable, easy to understand insight with a track record of creating compelling data visualisations
• Passion for customer and generally curious
• Telecoms-industry experience desirable
• Highly numerate with a Degree or equivalent experience in Mathematics/Statistics or similar degree with high numerate content
• Experience in coding sophisticated SQL queries against a large relational customer database, identifying relevant data sources and summarising to provide the insight as identified
• Proficiency in Python and/or R a bonus
• Proficiency with data visualisation software (e.g. Power BI) a bonus
• Good experience of using Excel and MS Office
• Ability to resolve data-related problems
• Ability to collaborate and work optimally in a team but also comfortable with owning product backlog items and self-organising to deliver them
• Highly organised and able to juggle multiple priorities concurrently
• Excellent problem solving skills with a logical approach