At a Glance
- Tasks: Analyse data to solve complex business problems and mentor fellow analysts.
- Company: Join AND Digital, a leader in bridging the tech skills gap.
- Benefits: Enjoy 25 days holiday, flexible bank holidays, and a generous pension scheme.
- Other info: Be part of a diverse team focused on growth and meaningful work.
- Why this job: Make a real impact by delivering innovative data solutions for clients.
- Qualifications: Experience in data analysis and strong communication skills required.
The predicted salary is between 50000 - 60000 £ per year.
hackajob is collaborating with AND Digital to connect them with exceptional professionals for this role.
We're on a mission to close the world's tech skills gap. We help organisations navigate the future of technology, combining human expertise, emerging tech and AI to deliver better outcomes, faster. Through our Guide, Build and Equip approach, we help organisations embrace change, deliver meaningful impact, and develop the skills they need to thrive in an increasingly agentic world.
As a Data Analyst in a club of over 80 people, you will spend the majority of your time helping deliver client projects in data, build our data analysis capabilities, growing our product analysts and influencing how we think about data, both within AND and for our clients. You will be responsible for conducting effective analysis to clarify and evaluate complex business problems and requirements for change in a manner which supports the strategic goals of large projects. You will also be part of the Business Analysis and Product communities helping to nurture and grow team members' practices and processes.
- Helping grow our Data Analysis capability:
- Building close relationships with analysts in your Club, understanding their needs and the challenges they are facing on client engagements.
- Mentoring junior and mid-level analysts in your club in the field of Data Analysis.
- Guiding and supporting the acquisition or improvement of data skills for the junior to senior developers in your Club, during their time in internal projects between client assignments.
- Helping define best practices and standards both in your Club and working as a part of the wider AND community, ensuring that they are followed during client assignments.
- Providing insight and conducting research in progressive data analysis techniques.
- Delivering progressive data solutions for clients:
- Features (User Stories), Data Mapping and Data Profiling.
- Work across multiple teams that have high impact and importance for the business.
- Collaborating with the Principal Data Engineer to help establish both your Club's and AND's wider Data proposition and develop thought leadership.
- Championing and upholding high analysis quality standards and best practice.
- Representing the field of Data Analysis at company functions, including hiring, and within our client acquisition to support growth and academy teams.
- Engaging actively with our Consultancy Data Strategy and Insight practice, to help define and materialise clients' data strategies.
Experience of pragmatic, hands-on analysis of enterprise-scale data projects across the full SDLC from design to migration, integration and live service in an Agile environment. Hands-on experience of modern software delivery techniques and tooling in the analysis space, including usage of Jira and Confluence (or equivalent), story mapping, estimation and dependency mapping. Experience in the field of Data Analysis, Science or Analytics including a keen understanding of industry best-practice around standards, quality and continuous improvement. Experience of analysis and design of solutions using one or more from: SQL and noSQL technologies, data streaming, logging and monitoring tools, BI and Data Warehousing solutions and ETL and migration technologies. Master Data Management, Data Lineage analysis, Metadata Management, Data Quality assessment and management, Data Transformation and migration. Proven experience of working with large volumes of data, applying tools such as SAS, R, Python, SQL, PowerBI, Tableau, Looker. Excellent communication skills and ability to tell stories / influence with data.
Experience supporting and enabling analysis communities, helping them have purpose and influence on company policy and approach. Knowledge of and experience implementing modern technologies to deliver Data visualisation, personalisation or decision support tooling. Hands-on technical experience implementing or managing SQL or noSQL solutions. Experience of leading small teams, including acting as Scrum master.
Why join AND Digital? We're building a culture where talented people can do meaningful work, continue growing, AND enjoy the journey along the way. 25 days bookable holiday + flexible Bank Holidays. Pension: 6% of salary paid by AND Digital with a further 2% paid by you (can be increased by choice). Any unused allowance from the £1000 can be taken as cash. Life Assurance. Generous Enhanced Maternity and Enhanced Partner (Paternity) Leave. Diversity and inclusion are hugely important to us, and we're committed to providing equal opportunities for all.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Data Analityk in Reading
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like AND Digital!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst - Data Analityk at AND Digital.
✨Leverage Professional Networks
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 AND Digital.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst - Data Analityk at AND Digital, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analyst - Data Analityk in Reading
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 AND Digital, 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 AND Digital. 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 AND Digital
✨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 AND Digital!
✨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.
