Mid Data Analyst

Remote

Data Analyst

Made Tech

Actively hiring

hackajob is partnering with Made Tech to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.

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

Key Responsibilities

As a 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 contributor 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.

You’ll need to have a drive to deliver outcomes for users. You’ll make sure that the wider context of a delivery is considered and maintain alignment between the operational and analytical aspects of the engineering solution.

Skills, Knowledge & Expertise

Analysis and synthesis

Application of analytical techniques: Proficiency in applying various analytical methods such as statistical analysis, data mining, and qualitative analysis. Ability to select and apply appropriate techniques based on the context and research data.
Synthesis of research data: Experience in synthesising research data to present actionable insights and solutions. Ability to articulate the impact of their analysis on decision-making and problem-solving.
Engagement with sceptical colleagues: Effective communication skills to engage and gain buy-in from sceptical colleagues.

Data Management

Good understanding of data sources and storage: Familiarity with common data sources and general knowledge of data organisation and storage practices. Willingness to maintain data accuracy and accessibility.
Awareness of data governance: Understanding of data governance standards and a commitment to following data quality practices set by the team.
Continuous improvement: Ability to contribute to improvements in data management practices by supporting documentation, learning from team training, and actively participating in discussions.
Toolset support: Experience with using data management tools, with a willingness to learn more about maintaining efficiency and integration.
Interest in automation: An interest in learning how to automate data management activities to streamline processes and improve accuracy (desirable).
Compliance with data governance policies: Basic understanding of data governance policies, with a focus on following data security and ethical standards.

Data modelling, cleansing, and enrichment

Data cleansing and standardisation: Experience in resolving data quality issues and ensuring data accuracy through cleansing and standardisation techniques.
Exposure to data integration tools: Basic experience with ETL tools for data integration and storage, with a focus on learning how to ensure data interoperability with other datasets.
Collaboration with data professionals: Some experience working with other data professionals, with a focus on learning and improving data modelling and integration practices through teamwork.

Data Visualisation

Understanding visualisation requirements: Ability to understand data visualisation needs and create simple, visually appealing representations suited to the audience.
Good working knowledge of visualisation tools: Experience using tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn), with a willingness to learn how to choose the right visualisation type for different data sets.
Awareness of visualisation standards: Understanding of design principles to create clear and accurate visualisations, with an interest in learning about accessibility best practices.
Willingness to learn from peers: Open to feedback and guidance from senior team members to improve the quality of your visualisations.

Data Quality Assurance, Validation, and Linkage

Data quality assurance: Familiarity with data quality assessment techniques, such as data profiling and cleansing, with a willingness to learn more about improving data accuracy and consistency.
Data validation and linkage: Experience performing basic data validation checks and combining data from different sources, with guidance from senior team members.
Data cleansing and preparation: Experience in data preparation, including handling missing values and duplicates, with a focus on learning more advanced data cleansing techniques.
Communication of data limitations: Ability to discuss data limitations with guidance from others, helping stakeholders understand potential issues and make informed decisions.
Participating in peer reviews: Willingness to participate in peer reviews to improve data accuracy, with the support of more experienced team members.

Statistical Methods and Data Analysis

Knowledge of statistical methods: Familiarity with common statistical techniques like hypothesis testing, regression analysis, and basic clustering, with an eagerness to learn how to choose the right methods for different projects.
Data analysis and interpretation: Experience using statistical software or programming languages for data analysis, with guidance in generating insights and sharing findings with both technical and non-technical audiences.
Willingness to learn new methodologies: Interest in exploring and applying new statistical techniques, with support from senior team members, to solve real-world problems and stay updated on emerging theories.

Communication

Stakeholder communication: Some experience working with different types of stakeholders, both technical and business-focused, with a focus on learning to manage expectations and contribute to productive discussions.
Willingness to engage in active and reactive communication: Comfortable sharing updates and responding to inquiries, with support from team members, to help maintain a collaborative working environment.
Interpretation of stakeholder needs: Ability to understand basic stakeholder requirements and help translate them into technical solutions, with guidance in bridging the gap between technical and non-technical individuals.
Presentation skills: Experience presenting data and insights, with a focus on learning how to simplify complex information for various audiences, including senior team members.

Logical and creative thinking

Problem-solving skills: Ability to apply logical thinking to break down simpler problems and contribute to generating solutions, with support from more experienced team members.
Decision-making and action-taking: Experience in making informed decisions and prioritising tasks, with guidance to take appropriate actions in resolving issues efficiently.
Adaptability and learning orientation: Willingness to adapt to new challenges and a strong desire to learn and improve continuously.

Job Benefits

Support in applying

We believe we can use tech to make public services better. We also believe this can happen best when our own team represents the society that actually uses the services we work on. We’re collectively continuing to grow a culture that is happy, healthy, safe and inspiring for people of all backgrounds and experiences, so we encourage people from underrepresented groups to apply for roles with us.

When you apply, we’ll put you in touch with a talent partner who can help with any needs or adjustments we may need to make to help with your application. This includes alternative formats for documents, the time allotted for interviews and any other needs. We also welcome any feedback on how we can improve the experience for future candidates.

We’re committed to building a happy, inclusive and diverse workforce.

Like many organisations, we use Slack to foster a sense of community and connection. As well as special interest groups such as music, food and pets, we also have 10+ Slack channels dedicated to specific communities, allies, and identities as well as dedicated learning spaces called communities of practice (COPs). If you’d like to speak to someone from one of these groups about their experience as an employee, please do let a member of the Made Tech talent team know.

Benefits

We are always listening to our growing teams and evolving the benefits available to our people. As we scale, as do our benefits and we are scaling quickly. 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. We’re also big on connection and have an optional social and wellbeing calendar of events for all employees to join should they choose to.

Here are some of our most popular benefits listed below:

✈️ 30 days Holiday - we offer 30 days of paid annual leave + bank holidays!

👶 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' of continuous UK residency. Please note that if at any point during the interview process it is apparent that you may not be eligible for SC, we won't be able to progress your application and we will contact you to let you know why.

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.

Today, you can see our services (and people!) in action, such as the design and build of the Homes for Ukraine service, delivered in 2 weeks. 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.

All this great experience is enabling us to support new areas, like energy. 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. This is a recognition of our many great initiatives, such as our open-access employee handbook that we launched 5 years ago.

hackajob is partnering with Made Tech to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.

Upskill

Level up the hackajob way. Verify your skills, learn brand new ones and test your ability with Pathways, our learning and development platform.

Find out more

Ready to reach your potential?