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- Tasks: Join us as a Data Analyst, tackling complex problems with innovative data solutions.
- Company: Methods Analytics is dedicated to improving society through data-driven decision-making.
- Benefits: Enjoy fully remote work, wellness programs, and a generous pension scheme.
- Why this job: Make a real impact while collaborating with passionate experts in a creative environment.
- Qualifications: Ideal candidates have a strong background in Data & AI, with hands-on experience.
- Other info: This role requires Security Clearance; details available on the government website.
The predicted salary is between 36000 - 60000 £ per year.
Methods Analytics exists to improve society by helping people make better decisions with data. Combining passionate people, sector-specific insight and technical excellence to provide our customers an end-to-end data service. We use a collaborative, creative and user centric approach data to do good and solve difficult problems. We relish difficult problems, and overcome them with innovation, creativity and technical freedom to help us design optimum solutions. Ethics, privacy and quality are at the heart of our work and we will not sacrifice these for outcomes. We treat data with respect and use it only for the right purpose. Data is a vast topic, but we strive for interactions that are engaging, informative and fun in equal measure.
As a Data & AI Consultant, you will work within our skilled Data & AI Consulting Practice. The team act as strategic advisors supporting clients on their journey to derive business value from Data & AI.
You will be innovative, outcome driven, and passionate about enabling enterprise-wide improvement in the use of Data & AI. Able to operate at a senior level and experienced in identifying, developing, and deploying AI to solve business problems and bring the value to organisations.
You will work closely with clients acting as a trusted advisor, combining business consulting experience with Data & AI expertise to help clients innovate and become data-led and AI-assisted.
Responsible primarily for client delivery with contribution to business development and collaboration within the Data & AI Practice and Front Line Command, UK Industry and Special Projects Business Unit.
Leading the delivery and supporting the growth of client engagements, supported by a multi-disciplinary team of Consultants from across our practices of Business Analysis, Delivery Management, Engineering, Architecture and Data Science.
Collaborating with clients to understand their business processes and objectives, identifying high-value Data & AI use cases, providing guidance and recommendations on solutions, and advising stakeholders on data governance and responsible AI.
Actively exploring trends in data, analytics, ML and AI to shape strategic advice to clients, keeping abreast of emerging opportunities, funding mechanisms, competitor moves, shifting priorities and pain points in target public and private sector domains.
Educating executives on data & AI technologies, techniques, market offerings to empower leadership decisions.
Advising C-suite teams on comprehensive enterprise data strategies, ensuring robust data foundations before AI implementations.
Guiding data-driven initiatives and building tailored Data & AI strategies spanning detailed plans and business cases to roadmaps.
Supporting clients to grow a lasting data & AI capability by leading on data literacy, mentoring and knowledge sharing.
Articulating and quantifying the value proposition of the consultancy’s data and AI capabilities to prospects across public and private sector.
Working within the practice to build offers, provide thought leadership, training, and mentoring.
Understanding how to deliver projects and the management of them from start to finish.
Experience setting strategic direction for use of Data & AI, shaping and supporting delivery of impactful solutions spanning business strategy, transformation, and operations.
Confidence conveying complex technical concepts of AI and ML to a wide range of stakeholders, including technical and non-technical audiences.
Understanding of data governance and ethics principles, including security, privacy, and risk control metrics.
Strong stakeholder management and leadership experience, proactively identifying clients, building rapport and identifying opportunities.
Experience identifying and implementing Data & AI initiatives and use cases to improve business processes and outcomes.
Appetite and evidence of continuous learning and improvement in the area of Data & AI.
Strong foundational knowledge of Data & AI with hands-on experience of data and AI during your career, applying analytical and statistical methods within business or academic field.
Knowledge of recent innovations such as GenAI, MS Copilot and Microsoft Fabric and/or certifications with leading cloud providers and around topics of data science AI and ML.
Experience in management consulting or large organisational data strategy delivery, with engagement up to executive level.
Experience and awareness of recognised data governance and management practices such as data strategy, data maturity assessments.
Recognised industry standard data management qualification, such as DCAM or CDMP and understanding of data governance and maturity assessments.
Working knowledge of use cases and application of different AI technologies including Computer Vision, ML, Gen AI etc. AI, ML frameworks and Data Science Principles.
Technical background with an undergraduate or advanced degree (Masters, MBA, PhD etc) in a technical field (sciences, computer science, mathematics, engineering, data science) or equivalent experience.
This role will require you to have or be willing to go through Security Clearance. details of the evidence required to apply may be found on the government website Gov.Be part of exciting project work that is making a difference in society
Development access to LinkedIn Learning, a management development programme and training
Wellness 24/7 Confidential employee assistance programme
Social – Breakfast Tuesdays, Thirsty Thursdays and Pizza on the last Thursday of each month as well as commitment to charitable causes
Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution
Discretionary Company Bonus based on company and individual performance
Life Assurance of 4 times base salary
Private Medical Insurance which is non-contributory (spouse and dependants included)
Worldwide Travel Insurance which is non-contributory (spouse and dependants included)
Data Analyst - Fully Remote (Permanent) employer: Methods Analytics
Contact Detail:
Methods Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Fully Remote (Permanent)
✨Tip Number 1
Familiarize yourself with the latest trends in Data & AI, especially innovations like GenAI and Microsoft Fabric. This knowledge will not only help you stand out during interviews but also demonstrate your commitment to continuous learning in this rapidly evolving field.
✨Tip Number 2
Network with professionals in the Data & AI space through platforms like LinkedIn. Engaging with industry leaders can provide insights into the role and may even lead to referrals, increasing your chances of landing the job.
✨Tip Number 3
Prepare to discuss specific use cases where you've successfully implemented Data & AI solutions in previous roles. Being able to articulate these experiences will showcase your practical knowledge and problem-solving skills to potential employers.
✨Tip Number 4
Understand the importance of data governance and ethics in AI. Be ready to discuss how you would approach these topics with clients, as this is crucial for building trust and ensuring responsible AI implementations.
We think you need these skills to ace Data Analyst - Fully Remote (Permanent)
Some tips for your application 🫡
Understand the Role: Before you start writing your application, make sure you fully understand the responsibilities and requirements of the Data Analyst position. Tailor your application to highlight how your skills and experiences align with the job description.
Showcase Relevant Experience: In your CV and cover letter, emphasize your experience with data analytics, AI, and any relevant projects you've worked on. Use specific examples that demonstrate your ability to solve complex problems and deliver value through data.
Highlight Technical Skills: Make sure to include your technical skills related to data science, machine learning, and AI technologies. Mention any certifications or training you've completed, especially those relevant to the tools and methodologies mentioned in the job description.
Express Your Passion: Convey your enthusiasm for data and AI in your application. Discuss why you are passionate about using data to improve society and how you can contribute to the company's mission of making better decisions with data.
How to prepare for a job interview at Methods Analytics
✨Show Your Passion for Data & AI
Make sure to express your enthusiasm for data and AI during the interview. Share specific examples of how you've used data to solve problems or drive decisions in previous roles. This will demonstrate your genuine interest and commitment to the field.
✨Understand the Company's Values
Research Methods Analytics and their approach to ethics, privacy, and quality in data usage. Be prepared to discuss how your values align with theirs and how you can contribute to their mission of improving society through data.
✨Prepare for Technical Questions
Expect questions that assess your technical knowledge in data analytics, machine learning, and AI. Brush up on recent innovations like GenAI and Microsoft Fabric, and be ready to explain complex concepts in a way that non-technical stakeholders can understand.
✨Demonstrate Stakeholder Management Skills
Highlight your experience in managing relationships with clients and stakeholders. Provide examples of how you've built rapport and identified opportunities in past projects, showcasing your ability to act as a trusted advisor.
