At a Glance
- Tasks: Solve high-impact business problems using advanced analytics and collaborate with cross-functional teams.
- Company: Fractal, a strategic AI partner to Fortune 500 companies, known for its innovative culture.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Empower imagination with intelligence and make a real impact in a dynamic environment.
- Qualifications: 4+ years of SQL experience and strong analytical skills required.
- Other info: Recognised as a Great Place to Work with excellent career advancement opportunities.
The predicted salary is between 48000 - 72000 £ per year.
It’s fun to work in a company where people truly BELIEVE in what they are doing! We’re committed to bringing passion and customer focus to the business.
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.
Job Responsibilities
- As a Senior Data Analytics Consultant at Fractal, you will work with complex, domain‑specific datasets to solve high‑impact business problems using advanced analytical techniques.
- Collaborating closely with cross‑functional teams, you will gather requirements, design and refine business logic, and drive the adoption of data‑driven solutions.
- You will also create clear, accurate, and compelling visualizations that support strategic decision‑making.
- This role requires strong SQL expertise and a solid foundation in data analysis and analytical methodologies.
- Client management: Be able to lead the conversations with the client and develop a 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.
- Build data pipelines and dashboards for marketers to self‑serve data needs; enable automated tracking of marketing campaigns.
- Harmonize data as required and set up 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.
- 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
- 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.
- Good problem solving & insight generation skills.
- Excellent communication skills with technical and non‑technical stakeholders.
- Good to have Tableau or any visualization skill.
Senior Data Analytics Consultant employer: Fractal
Contact Detail:
Fractal Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analytics Consultant
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your data analytics expertise. This gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by researching the company and its culture. Tailor your answers to show how your values align with theirs, especially around innovation and collaboration.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Analytics Consultant
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for data analytics shine through! We want to see that you truly believe in the power of data to drive decisions and improve businesses. Share why you're excited about the role and how you can contribute to our mission.
Tailor Your CV: Make sure your CV is tailored to the Senior Data Analytics Consultant position. Highlight your SQL expertise and any relevant experience with complex datasets. We love seeing specific examples of how you've solved business problems using data, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us your story! Use it to explain how your background aligns with the job responsibilities. Be sure to mention your client management experience and how you’ve driven data-driven solutions in the past.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re proactive and keen to join our team!
How to prepare for a job interview at Fractal
✨Know Your SQL Inside Out
As a Senior Data Analytics Consultant, you'll need to showcase your SQL expertise. Brush up on complex queries, joins, and data manipulation techniques. Be ready to discuss specific projects where you've used SQL to solve real business problems.
✨Master the Art of Storytelling with Data
Fractal values compelling visualisations that support decision-making. Prepare to present examples of how you've turned complex datasets into clear, actionable insights. Think about how you can narrate the story behind the data to engage both technical and non-technical stakeholders.
✨Understand the Client's Business
Client management is key in this role. Research Fractal's clients and their industries beforehand. Be prepared to discuss how your analytical skills can address their specific challenges and drive growth. Show them you’re not just a data whiz, but also a strategic partner.
✨Showcase Your Problem-Solving Skills
Expect to face some tricky analytical scenarios during the interview. Prepare to walk through your thought process on how you approach problem-solving. Highlight any advanced analytical methods you've applied in past roles and how they led to successful outcomes.