At a Glance
- Tasks: Lead data projects, turning raw data into actionable insights and engaging with stakeholders.
- Company: Join a forward-thinking consultancy focused on Data & AI.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement potential in a collaborative environment.
- Why this job: Make a real impact by transforming data into valuable insights and recommendations.
- Qualifications: Experience in data analysis, strong SQL skills, and proficiency in tools like Power BI.
The predicted salary is between 36900 - 45100 £ per year.
- Lead delivery of data workstreams, including planning, coordination and reporting
- Conduct data quality assessment, cleansing and validation activity
- Translate data into insights and actionable recommendations
- Develop dashboards and reporting to support programme oversight
- Engage stakeholders to understand requirements and resolve issues
- Maintain governance through RAID, documentation and reporting
- Support coordination across projects and workstreams
- Contribute to internal tools, methods and continuous improvement
Requirements
- Experience in data analysis, reporting or data quality roles
- Strong SQL and experience working with structured datasets
- Experience using tools such as Power BI (or similar)
- Strong analytical and problem-solving skills
- Ability to communicate with technical and non-technical stakeholders
- Organised and able to manage workstreams independently
- Desirable: Higher education or transformation experience
- Desirable: Data migration, integration or governance exposure
- Desirable: Consultancy or project-based delivery experience
- Core Competencies
Demonstrates expertise in data analysis, reporting, and quality assurance, with a strong ability to translate data into actionable insights.
Proficient in stakeholder engagement and project coordination, ensuring effective governance and continuous improvement across data workstreams.
- Highest-signal resume keywords
- Data Analysis
- SQL
- Power BI
- Data Quality Assessment
- Stakeholder Engagement
- ATS Optimization Keywords
- Hard Skills
- Data Analysis
- Data Quality Assessment
- Data Cleansing
- Data Validation
- SQL
- Dashboard Development
- Reporting
- Data Migration
- Data Integration
- Data Governance
- Soft Skills
- Analytical Skills
- Problem-Solving
- Communication
- Organizational Skills
- Independent Work Management
- Industry Keywords
- Data Quality
- Stakeholder Requirements
- Project-Based Delivery
- Continuous Improvement
- Governance
- Tools & Technologies
- Power BI
- Data Reporting Tools
- Internal Tools
- Documentation Tools
- #J-18808-Ljbffr
Consultant – Data & AI employer: Jobtailor
At Jobtailor, we pride ourselves on fostering a dynamic and supportive work environment where our employees can thrive. As a Field Service Scheduler & Customer Liaison, you will benefit from comprehensive training and development opportunities, ensuring your professional growth while enjoying a collaborative culture that values innovation and teamwork. Located in a vibrant area, our company offers unique advantages such as flexible working arrangements and a strong commitment to employee well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Consultant – Data & AI
✨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 Jobtailor!
✨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 Consultant – Data & AI at Jobtailor.
✨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 Jobtailor.
✨Apply Directly through Our Website
When you find a suitable opening like Consultant – Data & AI at Jobtailor, 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 Consultant – Data & AI
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 Jobtailor, 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 Jobtailor. 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 Jobtailor
✨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 Jobtailor!
✨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.
