Senior application support officer (Interim)

Bristol
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Management Accountant

Senior Manager, Data Integrity Quality Assurance

Junior Application Support Engineer

Data Architect

Senior Internal Auditor (Maternity Cover - up to 12 Months)

Senior Data Scientist, Japan Retail Science

Job Name - Senior Application Support Officer

Pay rate - £350 - £400 per day

Location - Bristol City

Experience in

  • Using and developing a wide range of U4ERP modules including GL, AR, AP, Planner and logistics
  • 2nd line support and issue resolution
  • System upgrades

    Report writing skills including:
  • Good SQL knowledge
  • Report Studio including XtraReports
  • Information browsers & Analysis

    Purpose of the job

    The Senior Application Support Officer is responsible for day to day supervision and management of an identified area of the Application Support Team. The team are responsible for managing the day to day running of Bristol City Councils IT applications, this includes a helpdesk function; system upgrades; access, event and request fulfilment processes, and for ensuring all other associated tasks are carried out effectively and timely. Ensuring effective management of IT incidents/requests and their resolution, providing appropriate and timely updates minimising impact to customers and stakeholders.

    The postholder will be responsible for a team of up to 10 officers who carry out monitoring, advise, and upkeep of IT systems/processes and liaison with stakeholders/suppliers. To help planning, productivity and functioning of the team.

    The postholder will oversee team development of systems and processes to ensure effective running of IT systems and recording of data in line with statutory legislation changes; change programmes and data protection/GDPR.

    Key job outcomes/accountabilities

    · Manage the development, implementation, maintenance and improvement of Application Support policies, processes, procedures and standards.

    · Manage the implementation of service improvement working in partnership with internal/external stakeholders

    · Provide and monitor an effective Application Support Function. Manage the day-to-day activities, ensuring service levels are maintained and continually improved.

    · Lead/oversee co-ordination of system upgrades.

    · Ensure escalation of issues to system providers or Application Support Leader as appropriate.

    · Ensure effective liaison with relevant suppliers and stakeholders providing best practice advice when appropriate.

    · Analyse performance and make recommendations for improvements to process and user controls based on analysis of data and management information. Encourage and promote best practice, particularly in the area of customer service orientation

    · Ensure all processes reinforce effective data quality and data security

    · Lead and support the measurement and benchmarking of an Application Support Function that provides consistent processes, standards, and best practice.

    · To lead and manage a team of up to 10 staff members.

    · Out of hours working may be required at times during the year to support technical processes or system upgrades

    This job description sets out the key outcomes required. It does not specify in detail the activities required to achieve these outcomes.

    General Accountabilities

    A. So far as is reasonably practicable , the post holder must ensure that safe working practices are adopted by employees and in premises/work areas for which the post holder is responsible to maintain a safe working environment for employees and service users. These are defined in the Corporate Health, Safety and Welfare Policy, departmental policies and codes of practice.

    B. Work in compliance with the Codes of Conduct, Regulations and policies of the City Council.

    C. To model and promote good equalities practice and value diversity across the service.

    D. Ensure that output and quality of work is of a high standard and complies with current legislation / standards.

    E. Ensure that all mandatory training is undertaken as required. For example - Bristol City Council's Induction, Health and Safety, Equalities, Safeguarding Children and Safeguarding Adults. Please note - this is not a comprehensive list

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.