At a Glance
- Tasks: Lead teams to deliver innovative data solutions and analytics for top UK companies.
- Company: Join Hitachi Solutions, a global leader in digital transformation and Microsoft partner.
- Benefits: Enjoy competitive pay, bonuses, pension plans, and a strong work/life balance.
- Other info: Diverse and inclusive culture that values creativity and innovation.
- Why this job: Make a real impact with cutting-edge technology while mentoring the next generation of talent.
- Qualifications: 10+ years in data engineering and analytics, with strong leadership and client-facing skills.
The predicted salary is between 70000 - 90000 £ per year.
Hitachi Solutions Europe is a global Digital, Data and Technology consultancy, Microsoft Gold partner and Cloud Services partner, specialising in end-to-end transformation. As a global consultancy firm working across the private and public sectors, we specialise in Dynamics 365 Business Applications, Power Platform, including Azure, Application Modernisation and Data & Analytics. Our highly skilled team help drive improvements, creating efficiency and growth within organisations. We are committed to Microsoft technologies, with a mission to revolutionise modern businesses. To achieve this we employ the best, most dedicated talent to deliver outstanding technology solutions to both our local and global clients.
Hitachi Solutions offers competitive compensation packages (incl. bonuses), pension and benefits plans. Work/Life balance is an essential part of our culture, and all our employees are home workers, although you will be expected to come into our or customer’s offices regularly. We operate a comprehensive career development programme that includes mentoring and training plans to ensure that you will continue to grow and develop your career at Hitachi.
We are growing our consulting team and looking for Lead Data Consultants to join us on our exciting journey and be part of the Hitachi Solutions family. This is a unique and challenging opportunity for an experienced Data Consultant to join the Data, Analytics & AI practice of Hitachi Solutions Europe. In this role you will be providing bespoke and cutting edge data and advanced analytics solutions, bringing significant commercial advantage to some of the UK’s most recognised companies.
The successful candidate will draw upon their experience with business intelligence tools and techniques and to advise clients on data and analytics best practices and deliver data and analytics solutions on time and to budget. The main areas of responsibility are:
- Provide expert advisory services to clients on advanced analytics and data engineering best practices, ensuring delivery of scalable and efficient solutions.
- Lead teams and projects, supporting all aspects of delivery from requirements gathering to solution design and implementation.
- Capture client requirements and lead the development of solution architectures that meet both current and future business needs.
- Design and develop bespoke Data Platform, Business Intelligence & Advanced Analytics solutions, leveraging the latest cloud technologies.
- Lead the design, implementation, and optimisation of enterprise data engineering solutions on Microsoft Fabric and Azure Databricks, delivering robust, secure, and scalable data products that support analytics, reporting, and AI use cases.
- Build and oversee the development of dynamic, interactive reports and dashboards using Power BI, ensuring clear, actionable insights for clients.
- Guide teams in data modelling and transformation efforts, ensuring the development of optimised data architectures, including the design of ETL/ELT pipelines.
- Mentor and guide junior team members, sharing knowledge and best practices to support their professional development.
We are looking to hire ambitious consulting professionals who combine their technical acumen with a genuine enthusiasm for improving organisations:
- 10+ years of experience designing and delivering cloud-based Data Engineering, Analytics, and AI solutions, ideally within a consulting or systems integration environment.
- Extensive experience in a client-facing role, previously working for a consultancy or systems integrator, with a proven track record of leading teams or projects.
- Hands-on experience with modern programming languages such as Python and SQL.
- Familiarity with data integration tools like Azure Data Factory and Data platform solutions such as Microsoft Fabric and/or Databricks.
- Expertise in data visualisation and analytics using Power BI, QlikView or Tableau.
- Strong experience in data modelling and transformation, including the design of ETL/ELT processes and data warehousing solutions.
- Experience or awareness of Big Data and Data Science and/or AI technologies, including the integration of Machine Learning models and/or Generative AI components.
- Demonstrated leadership within the Data Engineering and AI domain, acting as a trusted advisor to clients and internal teams.
- Excellent communication, problem-solving, and client management skills, with proven experience of leading teams.
- All applicants must either hold active Security Clearance or be eligible to obtain Security Clearance.
Diversity is the wellspring of our innovation and our growth engine, and we believe that creativity is fuelled by diversity. To be truly user centric, we need to ensure that the teams developing products and services are representative of the communities they serve. Our collective success is achieved by fostering and respecting our employees’ and customer’s individualities coming together as One Team.
If you are interested and want to know more about this opportunity, apply directly and have a chat with us.
Lead Data Consultant employer: Hitachi Solutions
Hitachi Solutions is an excellent employer, offering a dynamic remote work environment that fosters innovation and collaboration. With a strong commitment to employee growth through mentorship and professional development, along with competitive compensation and pension plans, we prioritise work-life balance to ensure our team thrives both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Consultant
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Hitachi Solutions!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Data Consultant at Hitachi Solutions.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Hitachi Solutions.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Consultant at Hitachi Solutions, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead Data Consultant
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Hitachi Solutions, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Hitachi Solutions. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Hitachi Solutions
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Hitachi Solutions!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
