Data Analyst in York inYork PUBLISHED FRI 13 DEC 2024 Jump to job information section

£26,682 to £29,282 a year PERMANENT GOOD SALARY

St Leonard's Hospice rqVR7wgt

Job description

We are recruiting a full time Data Analyst to join the Hospice's Income Generation Team.

The purpose of the Data Analyst role is to support the Income Generation Data Insight Lead in collating and analysing data relating to the ways people support the Hospice. We're committed to using this insight to inform our planning and decision-making when it comes to generating the income we need to care for local patients, families and carers.

St Leonard's Hospice has recently embarked on an ambitious programme of digital transformation, so this is a crucial time to join the team and contribute your skills to a huge range of projects that will increase our income and enable us to care for more people in York & North Yorkshire.

We do not have sponsorship status and therefore all our offers are made conditional upon our candidates submitting evidence of their right to work in the UK in conjunction with our other pre-employment checks.

The Data Analyst will implement the processes and procedures designed by the Income Generation Data Insight Lead, contributing to the continuous improvement of work to:

Integrate data to give a whole picture view of our supporters contribution to the cause.
Gain greater insight into the identity and connection of people who donate to and /or fundraise in support of the Hospices work.
Improve the processes supporters go through when donating to or fundraising in support of the Hospice.
Identify supporter audiences and secure their further engagement with relevant and engaging best next offers tailored to their identity and their connection to our cause.

Our ideal candidate will:

Have previous experience of working with relational datasets, spreadsheets and data visualisation tools
Be able to extract information from data sets and write comprehensive reports
Have strong IT skills and a working knowledge of GDPR
Be highly organised and be able to plan and prioritise tasks
Be able to work as part of a team

What we can offer you in return:

Generous annual leave entitlement of up to 41 days
Attractive pension schemes
Extensive employee discounts
Training and development opportunities

This role will primarily work Monday - Friday andwe will consider flexible working arrangements such as some working from home and compressed hourshowever, the successful candidate must live within a reasonable distance to the main Hospice site in York.

About us
Main duties and responsibilities
1. Produce mailing lists to support the Hospice's fundraising and marketing activity.
2. Analyse the performance of fundraising and marketing activity, reporting on key outputs, successes and areas for improvement.
3. Provide data for different audiences in different formats (e.g. reports, presentations) as required.
4. Interrogate data from a range of sources to identify audiences and activity the Hospice can test for income generation potential.
5. Coordinate the secure movement of data between systems, identifying areas where automation and integration can add efficiency.
6. Assist with the preparation of data for Gift Aid returns.
7. Maintain awareness of activities and approaches utilised by other organisations and share best practice to maximise the Hospice's fundraising income.

Not sure?
If you're interested in this role but you have questions or you're not yet ready to apply, then please book a quick call with us and we'd be happy to answer any questions you have and tell you more about the role.

Requirements

See the job description for full role requirements.

Benefits

Benefits are provided by the employer and will be confirmed during your application.

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More information related to this job opportunity, from jobsincare:

Useful skills for a Data Analyst: Click to view

To work as a Data Analyst in the UK, you will need a combination of technical, analytical, and soft skills. Here’s a summary of the key skills required:

Technical Skills:

1. Data Analysis Tools:

- Proficiency in data analysis tools such as Microsoft Excel (advanced functions, pivot tables).

- Experience with statistical software (e.g., R, SAS, or SPSS).

2. Programming Languages:

- Knowledge of programming languages such as SQL for database querying.

- Familiarity with Python or R for data manipulation and analysis.

3. Data Visualization:

- Experience with data visualization tools like Tableau, Power BI, or Matplotlib/Seaborn (if using Python).

- Ability to create clear and insightful visual representations of data.

4. Database Management:

- Understanding of database management systems (e.g., MySQL, PostgreSQL, or similar).

- Experience with data warehousing concepts.

5. Statistical Knowledge:

- Strong understanding of statistical concepts and methodologies.

- Ability to apply statistical tests and interpret results.

6. Data Cleaning and Preparation:

- Skills in data cleaning, preprocessing, and transforming raw data into usable formats.

Analytical Skills:

1. Critical Thinking:

- Ability to analyze complex data sets and draw meaningful insights.

- Strong problem-solving skills to address data-related issues.

2. Attention to Detail:

- High level of accuracy and attention when working with data to ensure information is correct and reliable.

3. Business Acumen:

- Understanding of business processes and objectives to align data insights with strategic goals.

Soft Skills:

1. Communication Skills:

- Strong verbal and written communication skills for presenting findings to non-technical stakeholders.

- Ability to explain complex data insights in a clear and actionable manner.

2. Collaboration:

- Team player who can work effectively with cross-functional teams, including data scientists, IT staff, and business leaders.

3. Adaptability:

- Willingness to learn and adapt to new tools, technologies, and changing business requirements.

Additional Skills and Qualifications:

- Education: A degree in a relevant field such as Mathematics, Statistics, Computer Science, or Economics can be helpful, but not always necessary.

- Certifications: Professional certifications in data analysis (e.g., Google Data Analytics, Microsoft Certified: Data Analyst Associate) can enhance your job prospects.

- Experience: Internships or relevant work experience can provide practical skills and familiarity with real-world data analysis scenarios.

inYork

53.9321816 -1.1117824 York, North Yorkshire

in York click to show distance

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