Process And Data Analyst

Buscojobs
Greater London
3 days ago
Create job alert

As a member of the broader HRIS & Process Improvement team, the Process and Data Analyst provides support for the organisation People & Culture continuous improvement initiatives. A natural problem solver, the Process and Data Analyst is responsible for analysing problems and data sets, suggesting solutions, and executing the implementation of prioritised initiatives in consultation with project team leads. This role is a true project generalist role supporting business transformation and change through end-to-end process thinking.

Key Accountabilities

  1. Analyse and document current processes and existing pain points to inform improvement opportunities.
  2. Support all aspects of the project management lifecycle, including project briefs, developing and maintaining project plans and schedules, change impact assessments, risk management plans, and any other relevant project documentation.
  3. Develop process documentation including process maps, guidelines, and procedures.
  4. Conduct data analysis, identify, and investigate data issues, and cleanse and prepare data to support ongoing business process improvement and sound decision-making.
  5. Interpret data, analyse results using statistical techniques, and provide ongoing reports.
  6. Communicate data gaps to business stakeholders and project members and close data gaps where required.
  7. Perform data extracts as required by various stakeholders.
  8. Participate in User Acceptance Testing where required.
  9. Liaise with staff at all levels, both internally and externally, with the view to developing strong relationships that support the achievement of project objectives within established timelines.
  10. Assist with the development of policies and processes for the monitoring, reporting, auditing, quality control, dispute resolution, and delivery of project outcomes.
  11. Establish and maintain clear lines of communication and reporting processes with project stakeholders, the organisation's members, and senior management.
  12. Provide authoritative advice to the Manager, senior management, and key stakeholders.
  13. Assist with the preparation of high-quality project performance and status reports and briefing materials for inclusion in reports.

Key Selection Criteria

  1. Ability to solve problems and identify areas of improvement with a proactive and agile approach.
  2. Demonstrated experience in supporting and coordinating multiple and/or complex projects and an understanding of project management methodologies.
  3. Demonstrated experience working as a process or data analyst (or similar role).
  4. Sound knowledge of, and demonstrated experience in, design and production of reports and dashboards to drive business decision making.
  5. Strong analytical, logical thinking, and problem-solving skills.
  6. Technical aptitude or knowledge in data analytics systems (e.g., PowerBI, Excel, SQL reporting).
  7. Demonstrated high level written and verbal communication skills.

HOW TO APPLY :

Please submit your resume (in MS Word Format) for consideration via the link below. A cover letter demonstrating your relevant experience may also be reviewed.

Should you wish to discuss, please contact Daniel Rayan, quoting reference number 218079.

Your interest will be treated in the strictest of confidence.

#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Manager Marketing Data & Insights Strategy

Organisation Data Integrity Lead

Data Analyst (Maternity Cover)

Data Analyst

Talent Acquisition Advisor

Software Dev Engineer II, QTS Team

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.

UK Visa & Work Permits Explained: Your Essential Guide for International Data Science Talent

Data science has rapidly evolved into a driving force for businesses and organisations worldwide. In the United Kingdom, companies across sectors—including finance, retail, healthcare, tech start-ups, and government agencies—are turning to data-driven insights to boost competitiveness and innovation. Whether you specialise in statistical modelling, machine learning, or advanced analytics, data scientists are in high demand throughout the UK’s vibrant tech ecosystem. If you’re an international data scientist aiming to launch or grow your career in the UK, one essential part of the journey is navigating the country’s visa and work permit system. From understanding how to secure sponsorship as a Skilled Worker to exploring the Global Talent Visa for leading experts, this article will help you understand the most relevant routes, criteria, and practical steps for your move. Let’s delve into everything you need to know about working in data science in the UK as an international professional.

Top UK Data Science Labs and Institutes: Where Innovation Meets Opportunity

Data has become the linchpin of modern innovation. From forecasting consumer behaviour to enabling cutting-edge health research, data science underpins breakthroughs across nearly every industry. In the United Kingdom, the data science landscape is particularly robust, fuelled by a blend of academic excellence, government support, and vibrant private-sector collaborations. For jobseekers or career-changers keen to explore opportunities in this exciting field, DataScience-Jobs.co.uk offers a gateway to the latest openings, news, and resources. In this in-depth article, we’ll tour the top UK data science labs and institutes, highlight the unique research and career paths available, and outline how you can position yourself to thrive in a field that’s as dynamic as it is rewarding.

Shadowing and Mentorship in Data Science: Gaining Experience Before Your First Full-Time Role

How to Find Mentors, Build Industry Connections, and Hone the Skills Needed in a Fast-Evolving Field Introduction Over the past decade, data science has grown from a niche academic discipline to a pivotal function driving decision-making in businesses of all sizes. With an array of applications—from predictive analytics and natural language processing to recommender systems and computer vision—data science offers an enticing career path for analytically minded professionals. However, as the field expands, so too does the level of competition. Employers seek not just theoretical knowledge but also real-world experience and robust problem-solving skills. That’s where shadowing and mentorship become game-changers for early-career data scientists. These hands-on learning opportunities provide an unmatched window into the workflows, tools, and soft skills you’ll need to excel in a professional environment. Whether you’re still completing your studies, fresh out of a bootcamp, or transitioning from another career, working closely with experienced data scientists can significantly shorten your learning curve and help you stand out when applying for your first full-time position. This article explores how to find mentors who align with your goals, the best ways to engage in shadowing opportunities, and practical tips for showcasing your growth as a mentee. From clarifying the nature of data science roles to leveraging online networks, you’ll discover how to position yourself as a candidate poised to solve complex challenges and drive data-driven innovation.