Senior Data Analyst

hackajob; Manchester; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A leading tech company is seeking a Senior Data Analyst to join their team. The role involves advanced data modeling, predictive analytics, and mentoring junior analysts. Candidates should have strong analytical skills and be proficient in tools like Power BI and Tableau. The position offers a flexible benefits platform and a commitment to diversity and inclusion.

Benefits

30 days of paid holiday plus bank holidays

Flexible parental leave

Part-time remote working options

Paid counselling, legal, and financial advice

Qualifications

• Strong analytical skills, including statistical analysis and data mining.
• Proficiency in data visualization tools like Power BI and Tableau.
• Experience in mentoring and leading data-focused projects.

Responsibilities

• Conduct in-depth data analysis and generate actionable insights.
• Produce BI dashboards using industry-standard tools.
• Collaborate with clients to understand their needs and present findings.

Skills

Data Analysis

Data Visualisation

Statistical Analysis

Problem-Solving

Stakeholder Engagement

Leadership

Tools

Power BI

Tableau

Python

Job description

hackajob

is collaborating with Made Tech to connect them with exceptional tech 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.

Responsibilities

1. Data analysis and reporting: Conduct in-depth data analysis, generate reports, and provide actionable insights for client projects.
2. Data and BI visualisation: Produce BI dashboards using industry-standard tools such as Power BI, Tableau, Quicksight, etc.
3. Client interaction: Collaborate with clients to understand their needs, translate these into analytical solutions, and present findings clearly and actionably.
4. Mentoring and leadership: Mentor and line-manage junior analysts, lead data-focused projects, and set best practices in data analysis.

Skills

Technical skills:

• Data Analysis & Insight Generation: Strong analytical skills, including statistical analysis, data mining, and qualitative research, with the ability to synthesise data into actionable insights.
• Data Management & Governance: Knowledge of data storage, governance policies, and best practices, with experience advocating for data quality and automating data management processes.
• Data Modelling & Integration: Expertise in conceptual, logical, and physical data modelling, data cleansing, and integration using ETL tools to ensure accuracy and interoperability.
• Data Visualisation: Proficiency in tools such as Tableau, Power BI, and Python visualisation libraries, with the ability to create clear, accessible, and engaging data presentations.
• Quality Assurance & Validation: Experience in ensuring data accuracy through validation, cleansing, linkage, and peer review, while effectively communicating data limitations.
• Statistical & Analytical Techniques: Knowledge of key statistical methods (e.g., regression, clustering, hypothesis testing) and ability to apply emerging analytical approaches to business challenges.

Business & Communication Skills:

• Stakeholder Engagement: Strong communication and persuasion skills to engage both technical and non-technical stakeholders.
• Problem-Solving & Decision-Making: Logical and creative thinker, capable of breaking down complex problems and developing innovative solutions.
• Presentation & Storytelling: Skilled at translating complex data insights into clear, compelling narratives for diverse audiences, including senior management.
• Adaptability & Continuous Learning: Proactive mindset, eager to learn and improve, with flexibility to adapt to evolving needs.
• Leadership: Proven experience leading data projects and mentoring team members.

Life at Made Tech

We support candidates with needs or adjustments during the application process, including alternative document formats, interview timing, or other requirements. We value feedback to improve our candidate experience.

We’re committed to a diverse and inclusive workforce. Learn more about our culture through our blog, where we discuss mental health, communities of practice, and neurodiversity.

We use Slack to foster community, with channels dedicated to interests, communities, allies, and learning spaces. If you’re interested in speaking with members of these groups, please let our talent team know.

Benefits

Our benefits evolve with our growing team. Recent additions include a flexible benefits platform, Smart Tech scheme, Cycle to Work, and an individual benefits allowance for health or pension plans. We also organize social and wellbeing events.

• 30 days of paid holiday plus bank holidays
• Flexible parental leave
• Part-time remote working options
• Paid counselling, legal, and financial advice

Note: Successful candidates must be eligible for SC security clearance, requiring 5 years of UK residency and employment or education history. If eligibility is in doubt during interviews, we will inform you accordingly.