At a Glance
- Tasks: Join Deloitte as a Junior Data Consultant and tackle exciting data challenges.
- Company: Be part of a leading global consultancy with a focus on innovation.
- Benefits: Enjoy competitive pay, hybrid work, and opportunities for career growth.
- Other info: Collaborative environment with potential for permanent placement after 6 months.
- Why this job: Make an impact by solving real-world problems with data-driven solutions.
- Qualifications: Strong analytical skills and familiarity with data concepts are essential.
The predicted salary is between 40500 - 49500 £ per year.
Start Date: ASAP
Contract Length: 6 months, likely to convert to perm
Location: London, Hybrid Model
Client: Deloitte
Day Rate: Competitive Inside IR35 - Payroll provider: Rockford Payroll
Role Summary
DMS Digital Data Consultant provides a range of technical and business capabilities to DMS Digital and other engagements. These capabilities include solution development, data analysis, business analysis, systems analysis, quality assurance and documentation depending on the requirements of the individual project or engagement.
Reports To: Dependent upon assignment
Direct Reports: None
Skills and Experience
- Good understanding of data concepts such as data modelling, data management, data quality, master data management, reference data, reporting and visualisation, AI
- Excellent analytical and problem-solving skills, with the ability to break down complex issues and propose practical, data-driven solutions
- Strong communication and presentation skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders
- Ability to tell a compelling story by structuring thoughts in a way that is engaging and easy to follow, including using data visualisations to evidence and articulate arguments
- Ability to work independently, think strategically and solve problems, identifying opportunities for innovation and growth while maintaining a focus on delivering high-quality solutions that meet or exceed client expectations
- Exceptional time management skills to manage competing priorities, across client service, practice development, and business development responsibilities
- Agile delivery environments
- Project and programme management
- Programming skills in SQL, Python, or similar languages relevant to data manipulation and scripting
- Proficiency in data manipulation and analysis using SQL and big data technologies (e.g., Spark, Hadoop)
- Experience with ETL/ELT, data warehousing, and automated workflows for moving and processing data
- Familiarity with data modelling techniques (e.g., dimensional, relational) and data architecture principles
Accountabilities & Responsibilities
- Solution Development: Responsible for the prototyping or development of technical solutions using low-code/no-code, robotic process automation or traditional programming languages.
- Systems Analysis: Reviewing existing systems (“as-is”) and supporting the design of future technical solutions (“to-be”) including the creation of system diagrams, data models, interface specifications, and logic flows.
- Solution Deployment, Testing & Support: Contribute to the configuration, deployment and ongoing support of technology solutions in collaboration with team members and client stakeholders.
- Requirements & Analysis: Gathering and documenting business requirements through meetings, workshops, and documentation review.
- Technical Requirements Definition: Based on business requirements create high or mid-level technical specifications to enable the development of technology solutions to meet business needs.
- Data & Reporting: Collect, analyse, and interpret business, performance and other data as an input to process design or other workstreams.
- Data Governance & Quality: Support or lead on the development of data governance, security, or confidentiality process or standards.
- Quality Issue Feedback: Providing to third party providers or internal stakeholders detail of content, input or output quality metrics derived from analysis and testing.
- Principles and Standards: Contributing to the ongoing development and review of principles and standards applicable to technical activities in DMS Digital.
- Best Practice: Contributing to the ongoing development and review of best practice guidance and instruction across all business, technical and support activities undertaken within DMS Digital or other engagements.
- Internal Relationships: Accountable and Responsible for developing and improving relationships with technical support and related functions across Deloitte in support of shared standards and DMS Digital or other engagement activities.
- Risk Management: Supporting the development, maintenance, improvement and management of risk controls pertaining to the activities of DMS Digital or other engagements.
Data Consultant in London employer: Deloitte - Recruitment
Deloitte is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. As a Google Cloud Programme Manager, you will benefit from extensive employee growth opportunities, including access to cutting-edge training and development resources, while working alongside industry leaders on impactful projects. The company's commitment to diversity and inclusion ensures a supportive environment where every team member can thrive and contribute meaningfully to our clients' success.
StudySmarter Expert Advice🤫
We think this is how you could land Data Consultant in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Deloitte - Recruitment before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Deloitte - Recruitment.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Deloitte - Recruitment.
We think you need these skills to ace Data Consultant in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Deloitte - Recruitment, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Deloitte - Recruitment, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Deloitte - Recruitment’s attention and show the tangible impact of your work.
How to prepare for a job interview at Deloitte - Recruitment
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Deloitte - Recruitment.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Deloitte - Recruitment.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Deloitte - Recruitment.
