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- Tasks: Develop and implement data strategies while collaborating with stakeholders to drive data-driven decisions.
- Company: Join a dynamic consultancy focused on innovative data solutions across diverse industries.
- Benefits: Enjoy hybrid working, global travel opportunities, and a chance to work with cutting-edge technologies.
- Why this job: Be part of a culture that values data literacy and empowers you to make impactful changes.
- Qualifications: Proven experience in data strategy, governance, and analytics tools like Power BI and Tableau required.
- Other info: Initial contract of 3-6 months with potential for extension based on performance.
The predicted salary is between 48000 - 72000 £ per year.
Data & Ai Strategy Consultant (Data Architect) needed - Inside IR35 - Hybrid working London office - Initial 3-6 months.
Proven experience in developing and implementing data strategies for diverse industries.
- Strong understanding of data governance, data privacy regulations, and data security best practices.
- Expertise in data analysis, business intelligence tools (e.g., Power BI, Tableau), and analytics platforms.
- Solid understanding of data modeling, database management, and ETL processes.
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies.
- Strong problem-solving skills and ability to translate complex data concepts into actionable insights.
- Excellent communication, presentation, and stakeholder management skills.
- Global travel to various customer locations and to support various customer engagements and relationships.
Responsibilities
- Data Strategy Development: Collaborate with senior leadership and stakeholders to understand business goals, challenges, and opportunities. Develop data strategies that align with business priorities, ensuring the effective use of data assets across the organization. Devise strategies for how the organization can collect, store, manage, and utilize data effectively and prepare it for business consumption. Define key performance indicators (KPIs) and data requirements to support business objectives.
- Data Governance & Management: Establish best practices, policies, and procedures for ensuring the quality, security, and integrity of data across the organization. Guide the implementation of data governance frameworks to ensure compliance, security, and accessibility. Assist in building data management processes and data architectures that support scalability and efficiency.
- Technology Evaluation and Implementation: Assess various data management technologies and tools to determine which ones best suit the organization's needs. Provide recommendations for business intelligence tools, dashboards, and reporting solutions to drive data-driven decision-making. Evaluate existing analytics practices and propose solutions for optimizing data analysis and reporting.
- Data Transformation & Optimization: Lead clients in transforming their data infrastructure to support advanced analytics, AI, and machine learning initiatives. Recommend ways to optimize data storage, integration, and access to enhance performance and reduce costs. Assist clients in migrating from legacy systems to modern, cloud-based data platforms.
- Collaboration and Communication: Collaborate with cross-functional teams including IT, marketing, finance, and operations to understand their data needs and align data strategies with overall business objectives. Lead workshops, training sessions, and presentations to promote data literacy and encourage a data-driven culture. Serve as a trusted advisor to executives and business leaders on data-driven initiatives.
Data & Ai Consultant employer: Next Ventures
Contact Detail:
Next Ventures Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & Ai Consultant
✨Tip Number 1
Network with professionals in the data and AI field. Attend industry events, webinars, or meetups to connect with potential colleagues and learn about the latest trends. This can help you gain insights into what companies like us are looking for in candidates.
✨Tip Number 2
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Power BI, Tableau, and cloud platforms like AWS or Azure. Having hands-on experience or certifications in these areas can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your previous experiences in developing data strategies and implementing data governance frameworks. Be ready to share specific examples of how you've successfully managed data projects and the impact they had on the business.
✨Tip Number 4
Showcase your communication and presentation skills during interviews. Practice explaining complex data concepts in simple terms, as this is crucial for collaborating with stakeholders and promoting a data-driven culture within an organisation like ours.
We think you need these skills to ace Data & Ai Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in developing and implementing data strategies. Emphasise your understanding of data governance, privacy regulations, and security best practices, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, explain how your skills align with the responsibilities outlined in the job description. Mention specific tools and technologies you have experience with, such as Power BI, Tableau, or cloud platforms like AWS and Azure.
Showcase Problem-Solving Skills: Provide examples in your application that demonstrate your problem-solving abilities. Discuss how you've translated complex data concepts into actionable insights in previous roles, as this is a key requirement for the position.
Highlight Communication Skills: Since excellent communication and stakeholder management skills are essential, include instances where you've successfully collaborated with cross-functional teams or led workshops. This will show your ability to promote a data-driven culture.
How to prepare for a job interview at Next Ventures
✨Showcase Your Data Strategy Experience
Be prepared to discuss specific examples of data strategies you've developed and implemented in previous roles. Highlight how these strategies aligned with business goals and the impact they had on the organisation.
✨Demonstrate Technical Proficiency
Familiarise yourself with the tools and technologies mentioned in the job description, such as Power BI, Tableau, and cloud platforms like AWS or Azure. Be ready to explain how you've used these tools in past projects.
✨Emphasise Communication Skills
Since the role involves collaboration with various stakeholders, practice articulating complex data concepts in a clear and concise manner. Prepare to discuss how you've successfully communicated data insights to non-technical audiences.
✨Prepare for Problem-Solving Scenarios
Expect to face hypothetical scenarios during the interview that test your problem-solving skills. Think about how you would approach challenges related to data governance, management, and transformation, and be ready to share your thought process.
