At a Glance
- Tasks: Analyse data, create reports, and mentor junior analysts to drive impactful insights.
- Company: Join Made Tech, a forward-thinking company transforming public sector data usage.
- Benefits: Enjoy 30 days holiday, flexible working, and a range of health benefits.
- Other info: Be part of a diverse team committed to inclusivity and continuous improvement.
- Why this job: Make a real difference by helping organisations become data-led and improve lives.
- Qualifications: Experience in data analysis, visualisation tools, and mentoring skills required.
The predicted salary is between 30000 - 40000 £ per year.
hackajob is collaborating with Made Tech to connect them with exceptional professionals for this role.
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.
- Mentoring junior analysts, leading data-focused projects, and setting best practices in data analysis.
- 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.
- Capability to advise on the choice and application of analytical techniques and critique colleagues' findings to ensure high standards in data analysis.
- 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.
- Ability to communicate and implement continuous improvements in data management practices through documentation, training, and regular team engagement.
- Proficiency in defining and supporting common toolsets for data management, ensuring efficiency and seamless integration.
- Automation of data management: Experience in automating data management activities to streamline processes and increase accuracy.
- Compliance with data governance policies: Understanding and ensuring compliance with data governance policies, maintaining data security and ethical standards.
- 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 through cleansing and standardisation techniques.
- 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 and patterns.
- Ability to interpret data visualisation requirements and create meaningful, visually appealing representations tailored to the audience.
- Experience with tools such as Tableau, Power BI, and Python libraries like Matplotlib and Seaborn.
- 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 to ensure consistency and accuracy.
- 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.
- Proficient in various statistical methods, such as hypothesis testing, regression analysis, clustering, and time series analysis.
- Data analysis and interpretation: Experience in using statistical software or programming languages to perform data analysis and generate insights.
- Ability to apply logical and creative thinking to resolve complex problems by breaking them down and generating innovative solutions.
We’re committed to building a happy, inclusive and diverse workforce.
We’ve recently introduced a 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.
- 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 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. Eligibility for SC requires 5 years' UK residency and 5 years' employment history (or back to full-time education).
We help organisations transform, deliver and manage world-class digital products and services.
We’re helping local authorities make it easier and quicker for people to log housing repairs online. By digitalising access to NHS services we’re making it more accessible, such as children needing mental health support.
We’re helping to drive better environmental outcomes by improving network performance through real-time asset monitoring, which means less wasted energy.
We were recently named as a finalist in the Raising the Bar for Workplace Transparency Award in the Shift People Awards.
