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- Tasks: Join us as a Data Implementation Analyst, solving complex problems with data and AI.
- Company: Methods Analytics is dedicated to improving society through better decision-making with data.
- Benefits: Enjoy remote work, wellness programs, and access to LinkedIn Learning for continuous growth.
- Why this job: Be part of innovative projects that make a real difference while collaborating with passionate experts.
- Qualifications: Strong foundation in Data & AI, with experience in consulting and technical concepts.
- Other info: Security clearance required; enjoy social events and a supportive company culture.
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 Implementation Analyst - Remote employer: Methods Analytics
Contact Detail:
Methods Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Implementation Analyst - Remote
✨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 during interviews but also demonstrate your commitment to staying updated in a 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. Being able to articulate your hands-on experience will showcase your expertise 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 Implementation Analyst - Remote
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 Implementation Analyst position. Tailor your application to highlight how your skills and experiences align with the job description.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with Data & AI, particularly any projects where you've identified and implemented data-driven solutions. Use specific examples to demonstrate your impact and outcomes.
Showcase Your Technical Skills: Make sure to include any relevant technical skills, such as knowledge of AI technologies, data governance, and analytics tools. Mention any certifications or training that relate to the role, as this will strengthen your application.
Craft a Compelling Cover Letter: Your cover letter should not only express your enthusiasm for the role but also explain why you are a great fit for the company’s mission of using data to improve society. Be sure to convey your passion for innovation and ethical data use.
How to prepare for a job interview at Methods Analytics
✨Understand the Company’s Mission
Before your interview, make sure you understand Methods Analytics' mission to improve society through data. Be prepared to discuss how your values align with their focus on ethics, privacy, and quality in data usage.
✨Showcase Your Technical Expertise
Highlight your hands-on experience with Data & AI technologies during the interview. Be ready to discuss specific projects where you've applied analytical and statistical methods, especially in relation to recent innovations like GenAI or Microsoft Fabric.
✨Demonstrate Stakeholder Management Skills
Prepare examples that showcase your ability to build rapport with clients and stakeholders. Discuss how you've identified opportunities and guided teams in implementing Data & AI initiatives to improve business processes.
✨Be Ready for Ethical Discussions
Since ethics and governance are central to the role, be prepared to discuss your understanding of data governance principles. Share your thoughts on responsible AI and how you would advise clients on data strategies that prioritize security and privacy.
