At a Glance
- Tasks: Analyse data, implement databases, and identify trends to drive business success.
- Company: Global consulting firm specialising in Data & Analytics with a culture of innovation.
- Benefits: Customised career plans, inclusive culture, and opportunities to learn cutting-edge technologies.
- Other info: Dynamic environment with strong growth potential and collaborative team spirit.
- Why this job: Join a mission-driven team and make an impact in the world of data.
- Qualifications: Bachelor’s degree in relevant fields and experience with SQL or Python.
The predicted salary is between 30000 - 50000 £ per year.
SDG Group is a global Consulting firm specialising in Data & Analytics. We are committed to unlocking an organisations’ potential and hidden value by offering in-depth analytics expertise that empowers our clients’ business models to become successful data-driven enterprises. Innovation is in our DNA. We constantly innovate our value proposition with cutting-edge laboratories and transformational models to provide the ultimate analytics practices and solutions. SDG Group works on the pillars of Triple Expertise, incorporating business process skills by domain with technical knowledge and partnership with the most important and innovative software providers. Our portfolio also features cutting-edge laboratories and the development of Advanced Analytics & AI technologies.
We’re looking for problem solvers, innovators, and collaborators who want to be a part of the mission to help us to further grow our company! You will have the ability to learn the latest technologies in the market and build strong relationships with technical and business leaders, all while deepening your expertise and enhancing your skills. We will work with you to create customised career plans which will allow you to grow independently, as well as with your colleagues. If you value inclusivity and want to join a culture that empowers you to show up as your authentic self, join us.
As a Data Analyst, you will be responsible for analysing data using statistical techniques, implementing and maintaining databases, gathering data from primary and secondary sources and identifying, analysing and interpreting trends from the data.
Responsibilities
- Business requirements mapping to functional and technical design
- Data structure analysis and data model design
- Development of data transformation processes
- Implementation of metrics and visualisations
- Front-end and user interface development
- Working with team members by converting business requirements to achieve functional and technical design
Qualifications
- Relevant Bachelor’s Degree (Data Science, Analytics, Computer Science, Engineering, Mathematics, Physics, Business Technology, STEM, etc.)
- Strong passion for data and technology with the aspiration to work in Management Consulting
- Demonstrable experience using SQL, Python or related languages
- Some knowledge of BI technologies, data modeling, data management
- At least 12 months Commercial experience in data analysis, data technology, business intelligence, analytics
- Experience working with modern Business Intelligence, Analytics, or Data Management technologies
- Outstanding oral and written communication skills
- Ability and willingness to digest technical business information and present that with sensitivity to business stakeholders
- Ability to build strong relationship with internal team members and client team
- Productivity and autonomy, eager to accept challenges
Data Analyst in Milton Keynes employer: SDG Group
SDG Group is an exceptional employer for those passionate about data and analytics, offering a dynamic work culture that prioritises flexibility through our Smart Work model. Employees benefit from tailored career paths in consulting and specialisation, alongside continuous learning opportunities and the chance to work on impactful projects with leading clients in a global environment. With a focus on innovation and professional growth, SDG Group empowers its team members to thrive as they tackle complex data challenges using cutting-edge technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Milton Keynes
✨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 SDG Group!
✨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 Data Analyst at SDG Group.
✨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 SDG Group.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at SDG Group, 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 Data Analyst in Milton Keynes
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 SDG Group, 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 SDG Group. 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 SDG Group
✨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 SDG Group!
✨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.
