Senior Data Analyst — Remote BI, Modelling & Mentoring

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. We use Slack to chat with each other, and we have various groups that reflect our diversity. If you’d like to speak to someone from one of these groups about their experience as an employee, let your recruitment agent or Made Tech Talent Partner know.

• 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.