At a Glance
- Tasks: Design innovative data solutions and guide clients on their data transformation journey.
- Company: Join Storm Technology, a leading Microsoft Solutions Partner with a collaborative culture.
- Benefits: Market competitive salary, flexible hybrid work, and opportunities for professional growth.
- Other info: Diverse and inclusive workplace committed to supporting all backgrounds.
- Why this job: Make a real impact by solving complex business challenges with cutting-edge Microsoft technologies.
- Qualifications: Experience in modern data solutions and strong communication skills are essential.
The predicted salary is between 63000 - 77000 £ per year.
Come and join the Data & AI Practice at the Storm Technology team! (a Littlefish Company)
Work location: UK or Ireland (Flexible Hybrid)
Salary: Market Competitive
Here at Storm Technology, part of the Littlefish Group, we're passionate about helping organisations realise the full potential of Microsoft technologies. As a leading Microsoft Solutions Partner, we work with clients across Ireland and the UK to solve complex business challenges and deliver meaningful outcomes through technology. As we continue to grow our digital services capability, we're looking for talented people who enjoy collaborating, innovating and making a real impact.
The role and what you'll be getting up to on a day-to-day basis:
As a Senior Data Consultant, you'll work closely with customers to understand their business challenges and design innovative data solutions that deliver measurable value. Acting as a trusted advisor, you'll guide organisations on their data transformation journey while leveraging the latest Microsoft technologies, including Microsoft Fabric.
You Will:
- Partnering with clients to understand business requirements, data challenges, and strategic objectives.
- Advising customers on data strategy, architecture, governance, and modern data platform adoption.
- Conducting data maturity assessments and developing transformation roadmaps.
- Facilitating workshops and stakeholder sessions to align business goals with technical solutions.
- Leading the design, development, and implementation of scalable data solutions using Microsoft Fabric.
- Acting as a subject matter expert on Microsoft Fabric, keeping up to date with the latest features and capabilities.
- Supporting pre-sales activities, including discovery workshops, technical presentations, solution demonstrations, and proof-of-concept development.
- Contributing to proposals, RFP responses, and customer presentations.
- Building strong, trusted relationships with customers and key stakeholders.
- Providing technical leadership, mentoring, and guidance to consultants and developers across the practice.
What we're looking for:
We're looking for an experienced consultant who combines strong technical expertise with excellent stakeholder management and communication skills.
Essential skills and experience:
- Proven experience delivering modern data solutions using Microsoft Fabric, including OneLake, Dataflows, Notebooks, and Power BI.
- Strong understanding of data architecture, data modelling, data warehousing, and ETL/ELT methodologies.
- Experience engaging directly with customers in a consultancy or client-facing environment.
- Ability to translate business requirements into technical solutions.
- Experience managing multiple projects and priorities within a fast-paced delivery environment.
- Strong communication and stakeholder management skills.
- A proactive and collaborative approach with a passion for solving complex business problems through data.
Desirable skills and experience:
- Experience with Azure Data Services, including Azure Synapse, Azure Data Factory, and Databricks.
- Knowledge of SSRS, SSAS, SSIS, DAX, or MDX.
- Experience with Azure DevOps and Git.
- Exposure to Databricks, PySpark, or advanced analytics technologies.
- Microsoft Data and AI certifications, particularly Microsoft Fabric certifications.
Here at Storm Technology, part of the Littlefish Group we aim to be somewhere everyone can be themselves. We are committed to encouraging a diverse and inclusive community where everyone irrespective of who they are, or their background, can feel equal and supported.
We encourage applications from people of all backgrounds. Please get in touch if you are concerned about any difficulties you may face during your recruitment process, so we adjust accordingly.
IT Senior Data Consultant employer: STORM
At Littlefish, we pride ourselves on being an exceptional employer that fosters a vibrant and inclusive work culture. With a strong focus on employee growth through our unique Littlefish Academy, competitive benefits including a healthcare cash plan and generous annual leave, and a supportive team environment, we empower our staff to thrive in their careers while making a meaningful impact in the cyber security landscape. Join us in Nottingham or Sheffield and be part of a passionate team dedicated to excellence and innovation.
StudySmarter Expert Advice🤫
We think this is how you could land IT Senior 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 STORM!
✨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 IT Senior Data Consultant at STORM.
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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 STORM.
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We think you need these skills to ace IT Senior 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 STORM, 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 STORM. 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 STORM
✨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 STORM!
✨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.
