At a Glance
- Tasks: Support and enhance analytical products while managing requests and delivery workflows.
- Company: Dynamic company offering flexible remote work and a collaborative culture.
- Benefits: Competitive salary, professional development, and opportunities for career growth.
- Other info: Join a diverse team and contribute to innovative analytical solutions.
- Why this job: Make a real impact by working with data and analytics in a fast-paced environment.
- Qualifications: Experience in analytics, strong organisational skills, and proficiency in Python.
Location: Flexible UK Location / Remote
Type: Permanent
Required Background
- Experience working in analytics, data, consulting, business intelligence, or product delivery environments
- Experience supporting business users and managing requests, incidents, and product enhancements
- Strong organisational skills with experience managing backlogs, governance processes, and delivery workflows
- Experience maintaining documentation, audit records, and delivery artefacts
- Comfortable working directly with senior business stakeholders and end users
- Proven ability to operate effectively within fast-paced and evolving business environments
- Strong ownership mindset with the ability to manage work independently and see tasks through to completion
- Experience working in distributed or remote teams
Technical Skills
- Python development
- Git version control
- Azure DevOps or similar work management and CI/CD platforms
- Experience supporting analytical products and end users
- Data analysis and data visualisation
- Backlog management and release coordination
- Governance and documentation management
- Experience with reporting and analytical tooling
Nice to Have Experience with:
- Shiny
- Quarto
- Containerised deployment technologies
- Infrastructure as Code (IaC)
- Experience building reusable analytical components, libraries, or frameworks
- Experience contributing to internal tooling and deployment platforms
- Knowledge of software delivery lifecycles and product management practices
- Consulting or professional services background
- Exposure to data product development and analytics delivery
Key Responsibilities
- Act as the first point of contact for users of analytical products
- Support and maintain live data and analytics solutions
- Manage incoming requests, incidents, enhancements, and change requirements
- Own backlog management, release processes, and delivery governance
- Maintain documentation, audit records, and compliance artefacts
- Contribute to the design and build of new analytical products
- Develop and enhance reusable tools, frameworks, and templates
- Support the development of internal delivery and deployment capabilities
- Work closely with business stakeholders to ensure solutions deliver measurable value
Senior Analytics Consultant in London employer: Source Group International
As a Lead Data Engineer in London, you will join a forward-thinking company that prioritises innovation and employee development. With a strong emphasis on collaboration and mentorship, the work culture fosters continuous learning and growth, while competitive salaries and comprehensive benefits ensure a rewarding experience. The vibrant London location offers unique networking opportunities and access to a diverse tech community, making it an excellent place for professionals seeking meaningful and impactful work.
Contact Details:
Source Group International Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Consultant in London
✨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 Source Group International!
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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 Source Group International.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Analytics Consultant at Source Group International, 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 Senior Analytics Consultant in London
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 Source Group International, 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 Source Group International. 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 Source Group International
✨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 Source Group International!
✨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.