At a Glance
- Tasks: Lead client conversations and analyse complex data to drive business growth.
- Company: Join Fractal, a strategic AI partner for Fortune 500 companies.
- Benefits: Hybrid work model, competitive salary, and recognition as a great workplace.
- Other info: Opportunity for career growth and working with cutting-edge technology.
- Why this job: Empower imagination with intelligence and make impactful decisions in a dynamic environment.
- Qualifications: 4+ years in data analytics, advanced SQL skills, and strong communication abilities.
The predicted salary is between 56700 - 69300 £ per year.
6 month Fixed Term Contract
London – Hybrid (On client site 2/3 days per week)
Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence.
Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.
Role Requirements:
- Client management: Be able to lead the conversations with the client and develop deep understanding of the nature of work to share new ideas and opportunity segments. The candidate is required to bring in consulting expertise and work closely with the client to identify opportunities for growth and scale the engagement. Communicate with the clients and understand their business needs.
- Technical: Work with large, complex data sets to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Candidate must be well experienced with internal Google tools and publicly available tools such as Google Sheets. Build data pipelines, and dashboards for marketers to self-serve data needs; enable automated tracking of marketing campaigns - Advanced knowledge of SQL is a must. Harmonize data as required and setup models according to the business logic defined. Use statistical tools to identify and evaluate the relationships between data fields, analyze output and determine the next action.
- Project management: Lead at least one client engagement independently. Execute end to end client engagements. Ensure regular client updates & meetings, stakeholder management, any failure or risk analysis of the project, data sources, tracking execution & success metrics is done effectively & efficiently.
Qualifications & Experience:
- 4+ years of work experience with databases, SQL coding across standard commercial databases (e.g., Teradata, MySQL), and statistics tools (e.g., R / Python).
- 5+ years of experience with quantitative analysis/modeling (e.g., scenario-based, sensitivity analyses, statistical techniques) and reporting.
- Advanced knowledge of SQL is a must and dashboarding/BI platforms like Looker or Tableau.
- Good problem solving & insight generation skills.
- Excellent communication skills with technical and non-technical stakeholders.
- Good to have Tableau or any visualization skill.
- Prior experience with Google Sheets good to have.
- Candidate having supply chain knowledge related to product sellout, sell-in, forecast, and planning would be good to have.
Senior Data Analytics Consultant in City of London employer: Fractal
Fractal is an exceptional employer that values innovation and collaboration, offering a dynamic work culture where your expertise in CPG data strategy can truly shine. With a flexible hybrid work arrangement in Greater London, employees enjoy a healthy work-life balance while having access to continuous growth opportunities and the chance to engage with senior stakeholders on impactful projects. Join us to be part of a forward-thinking team that prioritises professional development and fosters a supportive environment for all.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analytics Consultant in City of 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 Fractal 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 Fractal.
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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 Fractal.
We think you need these skills to ace Senior Data Analytics Consultant in City of London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Fractal, 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 Fractal, 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 Fractal’s attention and show the tangible impact of your work.
How to prepare for a job interview at Fractal
✨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 Fractal.
✨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 Fractal.
✨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 Fractal.
