Business Applications Analyst & Project Manager

Northgate, West Sussex
3 weeks ago
Create job alert

The firm

DMH Stallard is an award winning South East law, Legal 100 firm with offices in London, Brighton, Gatwick, Guilford, Horsham and Hassocks. DMH Stallard has grown rapidly since it was established in 1970, and has a headcount of approx 380. Our firm provides a comprehensive range of commercial, dispute resolution and litigation, employment, cyber security and cyber-crime, corporate, intellectual property, real estate and technology, media and telecoms advice to both businesses and individuals. Our clients, our people and our professional networks are the keys to our success.

The department

The Information Technology Team provide secure, reliable, and integrated technology solutions in alignment with business and administrative goals, support planning for the effective and strategic use of emerging technologies, and assist with all practical delivery and use of technology across the Firm.

JOB PURPOSE

DMH Stallard is currently undertaking a significant transformation programme across the firms IT services. Delivering this programme of work is crucial to the success of the firms business strategy of ensuring our services, applications and processes work in a way that maximises the benefits to the users and the firm. This hybrid role is critical part of achieving the firm’s goals combining translation of business requirements to application design and through to solution development, creation of a project plans and delivery of solutions to the plans on time and on budget.

IN SCOPE PROJECTS

We expect this role will be involved in leading the delivery of a broad variety of technology projects including delivery of new applications, upgrades, hardware rollouts, cloud service delivery and service migrations.

RESPONSIBILITIES AND DUTIES

As a hybrid role, the skills required are wide and varied. We are looking for flexible skills and wide experience including the following:

Business Analyst Responsibilities:

Gathering requirements from product owners and nominated subject matter experts up to senior management team level.
Use structured analysis techniques to business data sources to identify trends, patterns, and insights that inform business decisions.
Defining user stories, non-functional/functional requirements & processes.
Facilitating workshops to elicit current and future process requirements.
Work with developers to design and document technical solutions.
Assist with deployment and release notation.
Build and maintain the IT systems architecture repository.
Ensure communication within the IT development team and external suppliers on requirements and specifications is effective to engender a “one-team” culture both within the group and in collaboration with external partners. Project Management Responsibilities:

Manage concurrent projects to the firm’s delivery methodology.
Work with the Head of IT to identify viable solution options to satisfy project demands either through expansion of existing software, identification of new software or service customisation.
Maintain project management assets throughout the project lifecycle including requirements register, work package definitions, project plans, RAID register, project budget and testing / quality assurance logs.
Establish appropriate project delivery governance to ensure project, technical, procurement, service introduction and support processes are established and effective in ensuring the project delivers against its agreed objectives.
Work with the Information Risk & Compliance Officer to ensure all new software, services or processes are compliant with the firms Information Security Framework (ISO27001).
Focus on accurate cost management through regular review of project actual costs and corrective action where costs are not collected accurately.
Facilitate user acceptance testing (UAT) for new systems.
Work with IT training personnel to help define and develop training content.Other information

KNOWLEDGE, SKILLS AND EXPERIENCE REQUIRED

Project Management Required Skills:

Experience of working in an IT environment in a law firm
Delivery of medium to high complexity IT projects across Applications, Cloud Services and Infrastructure domains across all stages of the lifecycle.
Proven track record in managing third-party IT providers to deliver positive project outcomes.
The ability to thoroughly learn new software applications, either through provided training provided by the firm or through independent learning and research.
Experience of working with business stakeholders to gather and analyse their requirements and using software functionality to meet those requirements.
Strong organisational skills.
Excellent IT applications skills, in particular Microsoft Office
Excellent people and communication skills.
Good writing and presentation skills
The ability to work effectively both individually and as part of a team. Business Analyst Required Skills:

Business and systems analysis.
SQL data query and SQL development knowledge.
SQL Data structure analysis and data transformation.
Business process modelling notation (BPMN) Knowledge, Skills & Experience that will further advantage your application:

Direct practical experience with the design and implementation of legal CMS (Case Management Systems) workflow and automation.
Analysis experience with legal workflow platforms or a legal operation.
BCS certifications advantageous
Experience with legal Practice Management Document Management Systems ideally including Aderant Expert and iManage Work10.
Experience with other legal applications including BigHand, Isokon and Kutana.
A sound knowledge of cyber security and the governance required when implementing new software solutions and services. Personal Attributes:

A robust personality, confident in their abilities and able to deliver quickly and with quality even under pressure.
Able to effectively translate technical terminology into plain English.
Strong planning, analytical, and conceptual skills with the ability to innovate.
Have a clear view of what adds value to a process, and attention to detail.
Ability to create an environment of enthusiasm and engagement.
Capability to build relationships with different types of people and across different cultures.
Encourages and contributes to teamwork.
Projects credibility, professionalism and confidence.
Does not compromise on professional values or standards.
Understands their product owners business service lines.
Makes decisions and is resilient. Benefits: 

25 days holiday (of which 3.5 are taken during the Christmas period), plus Birthday holiday, plus Bank Holidays.
Life Assurance
Private Healthcare
Employee Assistance Programme
Sodexo Discounts
Pension Scheme
Interest free season ticket loans
Cycle to work scheme
Discounts on Legal work

Related Jobs

View all jobs

Digital Operations Manager, IT Manager, IT Support Manager

ICT Database Analyst

CRM Specialist

Reporting Analyst (Project Controls)

Software Engineer

EPM Snr. Techno-Functional Engineer

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.

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.