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For Companies At a Glance
- Tasks: Lead teams to deliver advanced analytics solutions for top UK companies.
- Company: Hitachi Solutions is a global consultancy focused on digital transformation and data analytics.
- Benefits: Enjoy competitive pay, bonuses, remote work, and a strong work/life balance.
- Why this job: Join a collaborative culture that values innovation and personal growth in tech.
- Qualifications: Experience in cloud-based analytics, programming, and client-facing roles required.
- Other info: Diversity is key; we celebrate unique perspectives and backgrounds.
The predicted salary is between 43200 - 72000 ÂŁ per year.
Job Description
We are growing our consulting team and looking for Lead Analytics 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 Analytics Consultant to join the Analytics practice of Hitachi Solutions Europe.
In this role you will be providing bespoke and cutting edge 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 analytics best practices and deliver analytics capability on time and to budget.
The main areas of responsibility are
Qualifications
We are looking to hire ambitious consulting professionals who combine their technical acumen with a genuine enthusiasm for improving organisations:
Diversity and Inclusion at Hitachi Solutions
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. Hitachi strives to create an environment not only where genders, races, cultures, sexual orientations, and identities can work together, but where the beliefs and views of those participating feel equally represented.
If you are interested and want to know more about this opportunity, apply directly and have a chat with us.
Additional Information
In applying for a role with Hitachi Solutions Europe Limited and/or its affiliates (“Hitachi”) you consent to Hitachi collecting and storing your personal information (including your name, job title and email address) in relation to this role and any others that may be suitable in the future.
Lead Analytics Consultant employer: Hitachi Solutions
Contact Detail:
Hitachi Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Analytics Consultant
✨Tip Number 1
Familiarise yourself with the latest trends in data analytics and cloud technologies. Being well-versed in tools like Power BI, Azure Data Factory, and programming languages such as Python and SQL will give you a competitive edge during discussions.
✨Tip Number 2
Network with current or former employees of Hitachi Solutions. Engaging with them on platforms like LinkedIn can provide you with insider insights about the company culture and expectations, which can be invaluable during your interview.
✨Tip Number 3
Prepare to discuss your previous client-facing experiences in detail. Highlight specific projects where you led teams or delivered successful analytics solutions, as this aligns closely with the responsibilities of the Lead Analytics Consultant role.
✨Tip Number 4
Showcase your problem-solving skills by preparing examples of how you've tackled complex data challenges in the past. This will demonstrate your ability to think critically and provide innovative solutions, which is key for this position.
We think you need these skills to ace Lead Analytics Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in analytics, data engineering, and client-facing roles. Use keywords from the job description to demonstrate that you meet the qualifications Hitachi Solutions is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss specific projects or experiences that showcase your expertise in advanced analytics and how they align with Hitachi's mission to revolutionise modern businesses.
Showcase Technical Skills: Clearly outline your hands-on experience with programming languages like Python and SQL, as well as your familiarity with tools such as Power BI and Azure Data Factory. Providing examples of past projects can strengthen your application.
Highlight Soft Skills: Hitachi Solutions values communication and problem-solving skills. Include examples in your application that demonstrate your ability to lead teams, manage client relationships, and deliver solutions effectively.
How to prepare for a job interview at Hitachi Solutions
✨Showcase Your Technical Skills
As a Lead Analytics Consultant, you'll need to demonstrate your expertise in cloud-based data engineering and analytics solutions. Be prepared to discuss specific projects where you've used tools like Python, SQL, and Power BI, and how these contributed to successful outcomes.
✨Understand the Company Culture
Hitachi Solutions values collaboration and open communication. Familiarise yourself with their emphasis on team spirit and cohesion. During the interview, express how you align with these values and provide examples of how you've fostered teamwork in previous roles.
✨Prepare for Client-Facing Scenarios
Given the client-facing nature of the role, be ready to discuss your experience in managing client relationships. Prepare examples that highlight your problem-solving skills and how you've successfully led teams or projects to meet client needs.
✨Demonstrate Your Knowledge of Advanced Analytics
The role requires a strong understanding of advanced analytics and data engineering best practices. Brush up on current trends in data science, AI technologies, and data visualisation techniques. Be ready to discuss how you've applied these in real-world scenarios.
