At a Glance
- Tasks: Dive into data analysis, create stunning visualisations, and mentor junior analysts.
- Company: Join Made Tech, a forward-thinking company transforming public sector organisations with data.
- Benefits: Enjoy 30 days holiday, flexible parental leave, remote work, and paid counselling.
- Other info: Be part of a diverse team committed to continuous learning and improvement.
- Why this job: Make a real impact by helping organisations become data-led and improve society.
- Qualifications: Experience in data analysis, visualisation tools, and strong communication skills.
The predicted salary is between 50000 - 65000 £ per year.
As a Senior Data Analyst at Made Tech, you’ll play a pivotal role in helping public sector organisations become truly data-led. You’ll join our data team in its mission to get data knowledge and skills out of silos and embedded into delivery teams. You will provide advanced data modelling, predictive analytics, and data visualisation, allowing us to deliver more sophisticated and customised solutions to our clients. The role is very hands-on and you'll support as a senior contributor role for a project, focusing on:
- Data analysis and reporting: Conducting in-depth data analysis, generating reports, and providing actionable insights for client projects.
- Data and BI visualisation: Producing BI dashboards using industry-standard tools – Power BI, Tableau, Quicksight etc.
- Client interaction: Collaborating with clients to understand their needs, translating these into analytical solutions, and presenting findings in a clear, actionable manner.
- Mentoring: Mentoring junior analysts, leading data-focused projects, and setting best practices in data analysis.
Technical Skills
- Application of analytical techniques: Proficiency in applying various analytical methods such as statistical analysis, data mining, and qualitative analysis.
- Synthesis of research data: Experience in synthesising research data to present actionable insights and solutions.
- Engagement with sceptical colleagues: Effective communication and persuasion skills to engage and gain buy-in from sceptical colleagues.
- Advisory and critique skills: Capability to advise on the choice and application of analytical techniques and critique colleagues’ findings.
- Understanding of data sources and storage: Knowledge of various data sources, data organisation, and storage practices.
- Advocacy for data governance: Experience in advocating for data governance standards and influencing team adherence to data quality practices.
- Continuous improvement: Ability to communicate and implement continuous improvements in data management practices.
- Toolset management: Proficiency in defining and supporting common toolsets for data management.
- Automation of data management: Experience in automating data management activities to streamline processes.
- Compliance with data governance policies: Understanding and ensuring compliance with data governance policies.
Data modelling expertise: Proficient in conceptual, logical, and physical data modelling.
- Data cleansing and standardisation: Experience in resolving data quality issues and ensuring data accuracy.
- Use of data integration tools: Skilled in using ETL tools for data integration and storage.
- Collaboration with data professionals: Experience collaborating with other data professionals to improve modelling and integration standards.
Interpretation of requirements: Ability to interpret data visualisation requirements and create meaningful representations.
- Proficiency in visualisation tools: Experience with tools such as Tableau, Power BI, and Python libraries.
- Application of visualisation standards: Application of design principles to create clear, accurate, and accessible visualisations.
- Mentorship in visualisation: Experience in reviewing and advising junior members to improve data visualisations.
Data quality assurance: Experience in implementing processes for data quality assessment and improvement.
- Data validation and linkage: Ability to perform data validation checks and integrate data from various sources.
- Data cleansing and preparation: Proficiency in defining data cleansing processes and preparing data for analysis.
- Communication of data limitations: Skilled in articulating data constraints and limitations to stakeholders.
- Peer review and quality control: Experience in conducting peer reviews to validate data outputs.
Knowledge of statistical methodologies: Proficient in various statistical methods.
- Data analysis and interpretation: Experience in using statistical software or programming languages to perform data analysis.
- Application of emerging theory: Willingness to explore and apply new statistical methodologies.
Business Skills
- Stakeholder communication: Experience in effectively engaging with a diverse range of stakeholders.
- Active and reactive communication: Proficiency in handling both proactive and reactive communication.
- Interpretation of stakeholder needs: Ability to understand and translate stakeholder requirements into technical solutions.
- Presentation and sharing of insights: Skilled in presenting complex data in a clear, understandable manner.
Problem-solving approach: Ability to apply logical and creative thinking to resolve complex problems.
- Decision-making and action-taking: Skilled in making informed decisions and prioritising tasks.
- Adaptability and learning orientation: Demonstrates adaptability in strategies and a commitment to continuous learning.
Life at Made Tech
We’re committed to building a happy, inclusive and diverse workforce. You can get a sense of what it’s like working here from our blog, where we talk about mental health, communities of practice and neurodiversity. We use Slack to chat with each other, and the groups that have formed give an idea of the diversity within Made Tech.
- antiracist-activists
- disability
- lgbtqiaplus-allies-and-activists
- neurodiversity
- parents-carers
- women-in-tech
We are always listening to our growing teams and evolving the benefits available to our people. Here are some of our most popular benefits:
- 30 days Holiday - we offer 30 days of paid annual leave.
- Flexible Parental Leave - we offer flexible parental leave options.
- Remote Working - we offer part time remote working for all our staff.
- Paid counselling - we offer paid counselling as well as financial and legal advice.
An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we're looking for all successful candidates for this role to have eligibility. Eligibility for SC requires 5 years’ UK residency and 5 years’ employment history.
About Made Tech
Made Tech is on a mission to use technology to improve society - for everyone. We help organisations transform, deliver and manage world-class digital products and services.
Senior Data Analyst employer: 慨正橡扯
At Made Tech, we pride ourselves on fostering a vibrant and inclusive work culture that empowers our employees to thrive. As a Senior Data Analyst, you'll not only contribute to impactful public sector projects but also benefit from 30 days of annual leave, flexible working arrangements, and a commitment to continuous professional development. Our diverse teams and supportive environment ensure that every voice is heard, making it an excellent place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or even in person. Let them know you're on the hunt for a Senior Data Analyst role. You never know who might have a lead or can put in a good word for you!
✨Tip Number 2
Prepare for those interviews! Research common questions for data analyst roles and practice your answers. Make sure you can showcase your skills in data modelling and visualisation, as well as your ability to communicate insights clearly.
✨Tip Number 3
Don’t forget to follow up! After an interview, shoot a quick thank-you email to express your appreciation. It’s a great way to keep yourself top of mind and show your enthusiasm for the role.
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are excited about joining Made Tech. Plus, it gives you a better chance to stand out in the crowd!
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Data Analyst role. Highlight your relevant experience in data analysis, visualisation tools, and client interaction. We want to see how your skills align with our mission at Made Tech!
Showcase Your Technical Skills:Don’t hold back on showcasing your technical prowess! Mention your experience with tools like Power BI, Tableau, and any statistical methodologies you’ve used. We love seeing candidates who can demonstrate their analytical techniques and data modelling expertise.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate straightforward communication, especially when it comes to presenting complex data insights.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, you’ll get a feel for our culture and values while you’re there!
How to prepare for a job interview at 慨正橡扯
✨Know Your Data Tools
Familiarise yourself with the data visualisation tools mentioned in the job description, like Power BI and Tableau. Be ready to discuss your experience with these tools and how you've used them to create impactful dashboards or reports.
✨Showcase Your Analytical Skills
Prepare to demonstrate your proficiency in various analytical techniques. Think of specific examples where you've applied statistical analysis or data mining to solve real-world problems, and be ready to explain your thought process.
✨Engage with Stakeholders
Highlight your experience in collaborating with clients and stakeholders. Be prepared to share how you've translated their needs into actionable insights and how you’ve communicated complex data findings in an understandable way.
✨Mentorship Matters
Since mentoring junior analysts is part of the role, think about your past experiences in guiding others. Be ready to discuss how you've helped colleagues improve their skills and the best practices you've established in data analysis.
