Senior Data Analyst

Senior Data Analyst

Worcester Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead data reporting and strategy, create dashboards, and provide insights across the organisation.
  • Company: Join a national education charity dedicated to improving access to opportunities through data.
  • Benefits: Enjoy fully remote work, flexible hours, and the chance to make a real impact.
  • Why this job: Be part of a mission-driven team that values data in shaping educational opportunities.
  • Qualifications: Experience in data analysis, SQL, Power BI, and working with customer data is essential.
  • Other info: This role offers a unique chance to influence decision-making in a meaningful way.

The predicted salary is between 43200 - 72000 £ per year.

Senior Data Analyst (Power BI)

UK – Fully Remote

We’re recruiting on behalf of a national education charity seeking a Senior Data Analyst to lead its reporting, insight and data strategy. This role sits within the Product team and plays a key part in improving the quality, accessibility and use of data across the organisation.

You’ll lead on developing customer dashboards, creating engaging and inspiring visualisations, shaping KPIs, building scalable data pipelines, and working with stakeholders across product, operations and leadership to provide meaningful insight.

What we’re looking for:

  • Proven experience in a Data Analyst working with customer data
  • Strong background in reporting, modelling and trend forecasting
  • Skilled in SQL, Power BI and data visualisation best practice
  • Experience working with customer data platforms and reporting environments
  • Understanding of data storage structures, cleansing and mining
  • Confident working with sensitive information, GDPR and data security standards
  • Comfortable engaging directly with business stakeholders to shape data insight

This is a high-impact role for someone who enjoys combining analytical thinking with stakeholder collaboration, and who wants to play a part in improving access to opportunity through data-driven decision making.

Please get in touch to find out more.

Senior Data Analyst employer: Pathfinder - IT Recruitment

As a leading national education charity, we pride ourselves on fostering a collaborative and inclusive work culture that empowers our employees to make a meaningful impact. With fully remote working options, we offer flexibility alongside professional growth opportunities, ensuring our team members can thrive while contributing to our mission of improving access to education through data-driven insights.
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Contact Detail:

Pathfinder - IT Recruitment Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Analyst

✨Tip Number 1

Familiarise yourself with the specific data tools mentioned in the job description, particularly Power BI and SQL. Consider creating a small project or dashboard using these tools to showcase your skills and understanding of data visualisation best practices.

✨Tip Number 2

Engage with the education charity sector by following relevant organisations and thought leaders on social media. This will help you stay updated on industry trends and demonstrate your passion for the field during interviews.

✨Tip Number 3

Prepare to discuss your experience with customer data platforms and how you've used them to drive insights. Think of specific examples where your analysis led to actionable outcomes, as this will resonate well with the hiring team.

✨Tip Number 4

Practice articulating your approach to stakeholder engagement. Be ready to explain how you’ve collaborated with different teams to shape data insights, as this role requires strong communication and collaboration skills.

We think you need these skills to ace Senior Data Analyst

Data Analysis
SQL
Power BI
Data Visualisation
Reporting and Modelling
Trend Forecasting
Data Pipeline Development
Customer Data Platforms
Data Cleansing
Data Mining
GDPR Compliance
Data Security Standards
Stakeholder Engagement
Analytical Thinking
Collaboration Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience as a Data Analyst, particularly with customer data. Emphasise your skills in SQL, Power BI, and any relevant data visualisation projects you've worked on.

Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about using data to improve access to opportunities. Mention specific examples of how you've successfully collaborated with stakeholders to shape data insights in previous roles.

Showcase Your Technical Skills: Include specific examples of your work with data pipelines, reporting environments, and data cleansing. Highlight any projects where you developed dashboards or visualisations that had a significant impact.

Demonstrate Understanding of GDPR: Since the role involves working with sensitive information, briefly outline your understanding of GDPR and data security standards in your application. This will show that you are aware of the importance of data protection.

How to prepare for a job interview at Pathfinder - IT Recruitment

✨Showcase Your Technical Skills

Make sure to highlight your experience with SQL and Power BI during the interview. Prepare examples of how you've used these tools to create impactful reports or dashboards, as this will demonstrate your technical proficiency.

✨Prepare for Stakeholder Engagement

Since the role involves working closely with various stakeholders, be ready to discuss how you've successfully collaborated with others in the past. Think of specific instances where your insights influenced decision-making or improved processes.

✨Understand Data Security Standards

Familiarise yourself with GDPR and data security standards, as this is crucial for handling sensitive information. Be prepared to discuss how you ensure compliance in your data analysis work.

✨Demonstrate Your Analytical Thinking

Be ready to showcase your analytical thinking skills by discussing how you've approached complex data problems. Use examples that illustrate your ability to derive meaningful insights from customer data and how it has driven business outcomes.

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