Job Description

Senior Data Analyst: Drive Data Excellence at The Affinity Group

Welcome to The Affinity Group - we're not your everyday accountants!

The Affinity Group, a leading Professional Services firm, is on the lookout for a dynamic individual to join our team as a Senior Data Analyst. At The Affinity Group, we believe that data isn't just numbers; it's the key to unlocking financial insights and shaping the future of our clients.

We have recently embarked upon a 5-year strategic plan to streamline our processes and maximise efficiencies with the aim of giving the best client service possible. If you're passionate about data and ready to make a significant impact, we would love for you to contact us.

Why Choose The Affinity Group?

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Data-Driven Excellence:

Join a company where data isn't just analysed; it shapes our financial success.

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Career Growth:

Take the next step in your data career with a firm that values growth and innovation.

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Team Collaboration:

Become part of a collaborative team where your ideas and contributions matter.

Your Role: Senior Data Analyst (Part-time)

As a Senior Data Analyst at The Affinity Group, you will play a pivotal role in transforming raw data into valuable insights, supporting our commitment to providing top-notch financial services. We understand that data isn't just a tool; it's a strategic asset.

Key Responsibilities:

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Data Exploration:

Dive into our client data, extracting meaningful insights to support decision-making.

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Analysis:

Utilise analytical tools to interpret complex datasets and identify trends.

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Problem Solving:

Collaborate with various teams to solve data challenges and contribute to process improvements.

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Reporting:

Assist in the creation of reports and dashboards for the business, showcasing the story behind the numbers.

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Tool Proficiency:

Utilise your skills in data visualization tools and techniques to enhance reporting capabilities.

What We're Looking For:

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Experienced Data Professional:

Proven experience in data analysis, with a strong track record of delivering actionable insights.

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Educational Background:

Qualifications in Mathematics, Statistics, Computer Science, or a related field would be preferred

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Technical Proficiency:

Expertise in data analysis tools and software, including proficiency in Python and data visualization tools such as Power BI.

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Analytical Mindset:

Strong analytical and problem-solving skills, with the ability to interpret complex datasets and identify trends.

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Collaborative Spirit:

Ability to work effectively within a team, sharing insights and contributing to collective success.

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Communication Skills:

Excellent communication skills, capable of translating data findings into actionable insights for non-technical stakeholders.

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Industry Knowledge:

Familiarity with the financial sector and experience in financial data analysis is a plus.

What's in It for You:

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Professional Development:

Opportunities for continuous professional growth.

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Competitive Salary:

Attractive remuneration package.

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Financial Insights:

Gain insights into the world of financial data analytics within an accountancy firm.

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Time Off Benefits:

25 days holiday plus statutory Bank Holidays (pro rata)

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Well-being Package:

Private medical cover and access to free financial advice.

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Flexibility Options:

Flexible working arrangements and more.

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Commute Support:

Engage in a healthy commute with our cycle to work scheme.

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Team Building:

Participate in company events, social gatherings, and benefit from staff incentives.

Job Type:

Part-time

Schedule:

TBA, but office hours are 0900 to 1715, Monday to Friday. Flexible working is supported.

Ready to Shape Your Future? Leave us your details today!

Job Types: Part-time, Permanent

Pay: 41,667.00-62,500.00 per year

Expected hours: 14.5 - 21.75 per week

Benefits:

Additional leave Company events Cycle to work scheme Discounted or free food Employee discount Financial planning services Free parking Life insurance On-site parking Private medical insurance Referral programme
Schedule:

Monday to Friday No weekends
Work Location: In person