At a Glance
- Tasks: Analyse data, build dashboards, and provide insights to improve public services.
- Company: Join Scrumconnect Consulting, a leading UK digital consultancy focused on impactful solutions.
- Benefits: Enjoy continuous learning, professional development, and a collaborative work culture.
- Other info: Diverse and inclusive team with opportunities for career growth.
- Why this job: Make a real difference in public services through data-driven decision-making.
- Qualifications: Experience in data analysis, Power BI, and strong SQL skills required.
The predicted salary is between 50000 - 60000 £ per year.
About Scrumconnect Consulting
Scrumconnect Consulting is a leading UK digital and technology consultancy delivering impactful, user‑centred digital services across the public sector. We work with government organisations to deliver innovative, data‑driven solutions that improve decision‐making, operational efficiency, and public services.
We are seeking an experienced Data Analyst (G7 Equivalent) to join a multidisciplinary Agile team, helping shape data‑driven products and services through robust analysis, reporting, and insights.
Role Overview
As a Data Analyst, you will be responsible for developing robust data collection processes, analysing complex datasets, building insightful dashboards, and ensuring data is secure, reliable, and suitable for strategic decision‑making. Working within a multidisciplinary Agile team, you will collaborate with product managers, delivery teams, and data specialists to establish best practices for data governance, reporting, and continuous improvement. This role requires someone who can transform complex and unstructured data into meaningful insights that support business decisions and service improvements.
Key Responsibilities
- Data Collection & Management: Design and implement robust data collection processes and standards. Establish secure methods for collecting, storing, and maintaining organisational data. Define data lifecycle management processes, including collection frequency, validation, and maintenance. Ensure data quality, integrity, and governance throughout the data lifecycle. Identify and utilise existing data sources where appropriate to minimise duplication.
- Data Analysis & Insights: Analyse structured and unstructured datasets to identify trends, patterns, and opportunities. Produce actionable insights that support strategic decision‑making. Prepare data suitable for reporting, governance, and external publication. Support evidence‑based recommendations through high‑quality data analysis.
- Dashboard Development & Reporting: Design, build, and maintain interactive dashboards using Microsoft Power BI. Develop visualisations that clearly communicate key performance indicators and business insights. Monitor dashboard performance and continuously improve reporting capabilities. Produce regular reports for stakeholders and senior leadership.
- Collaboration & Stakeholder Engagement: Work closely with multidisciplinary Agile delivery teams to support product delivery. Collaborate with wider organisational data teams to align with enterprise data standards. Engage with stakeholders to understand reporting requirements and translate them into analytical solutions. Present findings and recommendations clearly to both technical and non‑technical audiences.
- Continuous Improvement: Promote best practices in data collection, governance, and analytics. Support colleagues by sharing knowledge and improving data literacy across teams. Contribute to continuous improvement initiatives through evidence‑based analysis. Support the development of dashboards that measure product usage and identify opportunities for improvement.
Essential Skills & Experience
- Proven experience as a Data Analyst or Data Scientist within complex organisations.
- Strong experience building and maintaining Power BI dashboards.
- Experience designing secure and scalable data collection processes.
- Strong analytical skills with the ability to interpret complex and unstructured datasets.
- Experience in data governance, quality assurance, and lifecycle management.
- Strong SQL skills for querying and analysing data.
- Experience working with large datasets from multiple sources.
- Ability to communicate complex analytical findings clearly to diverse audiences.
- Experience working within Agile multidisciplinary delivery teams.
- Strong stakeholder management and collaboration skills.
- Experience using data to support operational and strategic decision‑making.
Desirable Skills & Experience
- Experience working within UK Central Government or public sector organisations.
- Knowledge of Government Digital and Data Profession (GDaD) capability frameworks.
- Experience working with government data standards and governance frameworks.
- Familiarity with product analytics and service performance measurement.
- Experience supporting continuous improvement through data‑driven insights.
- Knowledge of data security and information governance best practices.
Qualifications
- Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Information Systems, or a related discipline (or equivalent practical experience).
- Relevant Microsoft certifications in Power BI, Azure Data, or Data Analytics are desirable.
Security Requirements
- BPSS Security Clearance (or higher).
- Ability to obtain and maintain relevant UK security clearance where required.
Key Competencies
- Data Analysis and Interpretation
- Power BI Dashboard Development
- SQL and Data Querying
- Data Governance and Quality Management
- Stakeholder Engagement
- Communication and Presentation Skills
- Agile Delivery
- Problem Solving
- Continuous Improvement
- Attention to Detail
Why Join Scrumconnect Consulting?
- Work on impactful digital transformation programmes across the public sector.
- Collaborate with experienced consultants, engineers, and delivery professionals.
- Contribute to data‑driven decision‑making that improves public services.
- Access continuous learning and professional development opportunities.
- Be part of an inclusive, collaborative, and innovative culture.
Diversity, Equity & Inclusion
At Scrumconnect Consulting, we are committed to building diverse and inclusive teams. We actively encourage applications from women, people from ethnic minority backgrounds, disabled people, those returning after a career break, and individuals from groups underrepresented in technology and leadership roles.
Data Analyst employer: Scrumconnect Consulting
Scrumconnect Consulting is an exceptional employer, offering a dynamic work environment where data analysts can thrive while contributing to meaningful digital transformation projects within the public sector. With a strong emphasis on collaboration, continuous learning, and professional development, employees are empowered to grow their skills and make impactful contributions to data-driven decision-making that enhances public services. The inclusive and innovative culture fosters diversity and encourages all voices to be heard, making it a rewarding place to work.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨Get Involved in Data Science Meetups
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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 Scrumconnect Consulting.
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We think you need these skills to ace Data Analyst
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 Scrumconnect Consulting, 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 Scrumconnect Consulting. 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 Scrumconnect Consulting
✨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!
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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 Scrumconnect Consulting!
✨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.
