Senior Data Analyst

Change Grow Live
Accrington
7 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Overview

Change Grow Liveare a charity dedicated to the belief that we can make a difference to our Service Users lives, offering support and respect in a safe environment, treating each user as an individual and working with them to find the right treatment and care options.

Our core values are ‘Be open, be compassionate and be bold’ and our team members apply these daily to achieve our mission of helping people change the direction of their lives, grow as individuals, and live life to its full potential.

We have an exciting opportunity for a Senior Data Analyst to join our Smokefree Lancashire service. The new post holder will join our dedicated regional team providing efficiency and excellence across all data requirements for our services and the organisation.

Responsibilities

Key Responsibilities:

Responsible for ensuring all data requirements are met for a portfolio of services Ensure data processes and systems are efficient, effective and meet the needs of all stakeholders. Recognise and understand key performance indicators and compile regular data quality and performance reports to respective teams Conduct data analysis to discover useful insight and valuable information and provide creative suggestions to make changes in service delivery and across the region and organisation Undertake data analysis to ensure activity, performance and all other reporting needs are met Interpret and make use of internal and external reports and ensure activity is appropriately reflected Communicate findings effectively and appropriate to the audience Ensure data submissions, such as NHS Digital, are completed ahead of schedule and to the quality required. Attend meetings with stakeholders and host or chair meetings where appropriate Design and deliver training, both formal and informal, to a range of stakeholders and new starters

About you:

Work flexibly across operational sites as required Work flexibly within an agreed number of hours of work to maintain the most appropriate level of service provision, including evenings and weekends where applicable Seek to improve personal performance, contribution, knowledge and skills Keep abreast of developments in services, legislation and practice as well as industry data frameworks (NHS Digitial) and new technologies Share knowledge and work collaboratively with colleagues Form part of an effective team Contribute to maintaining safe systems of work and a safe environment

What We Offer

25 days holiday (+ bank holidays), increasing annually for first five years. Paid 'Wellness' hour each week, a 'Wellness' hub, and Employee Assistance Program. Contributory pension scheme. Discounts for shopping, cinema, holidays, etc. A friendly and supportive working environment. Training, development, and progression opportunities. Refer a friend and benefit from our scheme.

Join us at Change Grow Live, where together, we'll create a supportive and inclusive environment where everyone can thrive and make a difference.

Please ensure that when completing your application form and supporting statement, you reflect on the details outlined in the job description. This will help us understand how your skills and experiences align with the requirements of the role. 

Salary Range (pro rata if part time)

CGL points 30 to 32 (£33,708.57 - £35,649.17)

ILW / OLW /Fringe

N/A - Outside London Weighting Area

Closing Date

6/10/2024

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.

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.

Data Science Jobs in the Public Sector: Exploring Opportunities Across GDS, NHS, MOD, and More

Data science has emerged as one of the most influential fields in the 21st century, transforming how organisations make decisions, improve services, and solve complex problems. Nowhere is this impact more visible than in the UK public sector. From the Government Digital Service (GDS) to the National Health Service (NHS) and the Ministry of Defence (MOD), government departments and agencies handle vast amounts of data daily to support the well-being and security of citizens. For data enthusiasts looking to make a meaningful contribution, data science jobs in the public sector can offer rewarding roles that blend innovation, large-scale impact, and societal benefit. In this comprehensive guide, we’ll explore why data science is so pivotal to government, the roles you might find, the skills needed, salary expectations, and tips on how to succeed in a public sector data science career.