Data Support Officer in Lancaster

Data Support Officer in Lancaster

Lancaster Full-Time 36000 - 44000 £ / year (est.) No working from home possible
Cumbria Chamber MD

At a Glance

  • Tasks: Support data management and analysis to drive organisational improvement.
  • Company: Join a dynamic charity making a real difference in the community.
  • Benefits: Flexible hours, professional development, and a chance to contribute to meaningful causes.
  • Other info: Great opportunity for career advancement in a supportive environment.
  • Why this job: Be part of a team that values your insights and supports your growth.
  • Qualifications: Experience with CRMs and strong analytical skills are essential.

The predicted salary is between 36000 - 44000 £ per year.

We are seeking a highly motivated and detail-oriented individual to join our team.

In this pivotal role, you will provide vital support to the Quality & Information Manager while collaborating closely with cross-functional teams.

You will use your analytical expertise to extract actionable insights, identify trends, and uncover opportunities for continuous organisational improvement.

Key Responsibilities

  • Data Management: Maintain and update client and therapy records within the Integrated Management System (IMS).
  • Survey & Feedback Processing: Code and record completed client questionnaires.
  • External Provider Tracking: Log attendance data from external suppliers (e. g., hydrotherapy pools) and input session details for therapists without direct IT access.
  • CRM Integration: Import and create new client records in the fundraising CRM (Beacon) when needed.
  • Operational Continuity: Serve as a backup to the Quality & Information Manager to generate therapist payroll extracts when required.
  • General Support: Assist the Quality & Information Manager with ad-hoc reporting and operational tasks.
  • Fundraising Data & CRM Management
  • Data Cleansing: Maintain database integrity by regularly de-duplicating records within the CRM.
  • KPI Reporting: Extract monthly CRM data to generate KPI reports for the Head of Fundraising, providing initial analytical commentary and insights.
  • Campaign Support: Build, manage, and track campaigns and events in the CRM, ensuring all participant and donor data is seamlessly imported and updated.
  • Donor Insights: Filter, manipulate, and extract data to analyse donor journeys and optimise engagement strategies.
  • Campaign Management: Assist with the Donation Station fundraising campaign, collaborating with marketing on promotions and delivering monthly performance reports.
  • Direct Mail & Lottery Support: Produce targeted data extracts for direct mail shots, reconcile player extracts, and support external Lottery Management operations.
  • Financial Data & Compliance
  • Income

Reconciliation: Reconcile weekly online income (website, regular giving, Just Giving, Try Booking, Pay Pal, Facebook, etc.) against BACS payments and log them accurately into Beacon CRM.

  • Payment Processing: Record cash and cheque payments in the CRM, allocating funds accurately according to specific streams and payouts.
  • Gift Aid Compliance: Upload Gift Aid declarations, maintain precise records, and ensure full compliance with HMRC regulations.
  • Income Coding: Adhere strictly to guidelines for coding all incoming funds, including restricted income.
  • Audit Preparation: Work with the Head of Finance to ensure imported data accurately reflects charity accounts for audit purposes.
  • Reporting & Design: Advise on the structure, design, and preparation of database reports, creating complex custom reports as requested.
  • Data Protection & GDPR: Maintain absolute confidentiality and security of donor details, adhering rigorously to GDPR and organisational data policies.
  • Organisational Responsibilities
  • Proactive Engagement: Contribute positively to team effectiveness and organisational growth.
  • Workload Management: Independently manage daily time and tasks using organisational tools (e. g., Microsoft Outlook).
  • Flexibility: Maintain a flexible approach to working hours and patterns based on organisational needs.
  • Continuous Development: Participate in team meetings, training sessions, and charity events.
  • Compliance & Values: Uphold all organisational policies and complete mandatory training, while embodying the charity’s core values and mission.
  • Ad-hoc Duties: Undertake additional tasks as reasonably requested by the Executive Leadership Team.
  • Skill Requirements
  • Experience: Proven experience working with CRMs (for example, Beacon) and manipulating datasets.
  • Skills: Strong analytical ability, advanced Excel skills, high attention to detail, and the ability to devise appropriate reporting strategies.
  • Attributes: Self-starter with excellent time-management skills, strong communication, and a passion for supporting the charity sector.
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Data Support Officer in Lancaster employer: Cumbria Chamber MD

David Allen is an excellent employer that fosters a dynamic and collaborative work culture, perfect for marketing professionals looking to make a significant impact. With a focus on employee growth, you will have access to ongoing training and development opportunities, while working in a vibrant location that encourages creativity and innovation. Join us to be part of a team that values your contributions and supports your career aspirations.

Cumbria Chamber MD

Contact Details:

Cumbria Chamber MD Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Support Officer in Lancaster

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We think you need these skills to ace Data Support Officer in Lancaster

Data Management
Analytical Skills
Attention to Detail
CRM Management
Excel Skills
Data Cleansing
KPI Reporting

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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