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Senior Data Analyst

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Made Tech

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Location:
United Kingdom , Bristol

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Contract Type:
Employment contract

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Salary:

49500.00 - 65000.00 GBP / Year

Job Description:

Made Tech wants to positively impact the country's future by using technology to improve society, for everyone. We want to empower the public sector to deliver and continuously improve digital services that are user-centric, data-driven and freed from legacy technology. A key component of this is developing modern data systems and platforms that drive informed decision-making for our clients. You will also work closely with clients to help shape their data strategy. As a Senior Data Analyst, you may play one or more roles according to our clients' needs. The role is very hands-on and you'll support as a senior contributor role for a project.

Job Responsibility:

  • Conducting in-depth data analysis, generating reports, and providing actionable insights for client projects
  • Producing BI dashboards using industry-standard tools - Power BI, Tableau, Quicksight etc
  • Collaborating with clients to understand their needs, translating these into analytical solutions, and presenting findings
  • Mentoring junior analysts, leading data-focused projects, and setting best practices in data analysis
  • Analysis and synthesis
  • Data Management
  • Data modelling, cleansing, and enrichment
  • Data Visualisation
  • Data Quality Assurance, Validation, and Linkage
  • Statistical Methods and Data Analysis
  • Communication
  • Logical and creative thinking

Requirements:

  • Proficiency in applying various analytical methods such as statistical analysis, data mining, and qualitative analysis
  • Experience in synthesising research data to present actionable insights and solutions
  • Effective communication and persuasion skills to engage and gain buy-in from sceptical colleagues
  • Capability to advise on the choice and application of analytical techniques and critique colleagues' findings
  • Knowledge of various data sources, data organisation, and storage practices
  • Experience in advocating for data governance standards and influencing team adherence to data quality practices
  • Proficiency in defining and supporting common toolsets for data management
  • Experience in automating data management activities (desirable)
  • Understanding and ensuring compliance with data governance policies
  • Proficient in conceptual, logical, and physical data modelling
  • Experience in resolving data quality issues and ensuring data accuracy through cleansing and standardisation techniques
  • Skilled in using ETL tools for data integration and storage
  • Experience collaborating with other data professionals
  • Ability to interpret data visualisation requirements and create meaningful, visually appealing representations
  • Experience with tools such as Tableau, Power BI, and Python libraries like Matplotlib and Seaborn
  • Application of design principles to create clear, accurate, and accessible visualisations
  • Experience in reviewing and advising junior members to improve data visualisations
  • Experience in implementing processes for data quality assessment and improvement
  • Ability to perform data validation checks and integrate data from various sources
  • Proficiency in defining data cleansing processes and preparing data for analysis
  • Skilled in articulating data constraints and limitations to stakeholders
  • Experience in conducting peer reviews to validate data outputs
  • Proficient in various statistical methods, such as hypothesis testing, regression analysis, clustering, and time series analysis
  • Experience in using statistical software or programming languages to perform data analysis and generate insights
  • Willingness to explore and apply new statistical methodologies or practices
  • Experience in effectively engaging with a diverse range of stakeholders
  • Proficiency in handling both proactive and reactive communication
  • Ability to understand and translate stakeholder requirements into technical solutions
  • Skilled in presenting complex data in a clear, understandable manner
  • Ability to apply logical and creative thinking to resolve complex problems
  • Skilled in making informed decisions, prioritising tasks, and taking appropriate actions
  • Demonstrates adaptability in strategies and a commitment to continuous learning
  • Eligibility for SC (security check) clearance
  • 5 years' continuous UK residency
  • 5 years' employment history (or back to full-time education)

Nice to have:

Experience in automating data management activities

What we offer:
  • 30 days of paid annual leave plus bank holidays
  • Flexible Working Hours
  • Flexible Parental Leave
  • part time remote working for all our staff
  • Paid counselling as well as financial and legal advice
  • flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan
  • optional social and wellbeing calendar of events

Additional Information:

Job Posted:
January 03, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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