At a Glance
- Tasks: Lead client conversations, analyse complex data, and create impactful dashboards.
- Company: Fractal, a strategic AI partner for Fortune 500 companies, known for its innovative culture.
- Benefits: Hybrid work model, competitive salary, and a vibrant team environment.
- Other info: Great career growth opportunities in a dynamic and supportive workplace.
- Why this job: Join a passionate team and empower decisions with cutting-edge analytics.
- Qualifications: 4+ years in data analytics, strong SQL skills, and excellent communication.
The predicted salary is between 56700 - 69300 £ 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.
Role Requirements:
- 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. Candidate must be well experienced with 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 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.
- 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.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Senior Data Analytics Consultant employer: BlackCube Labs
At BlackCube Labs, we pride ourselves on fostering a creative and collaborative work environment that empowers our employees to excel in their craft. With flexible working arrangements and a comprehensive benefits package, we support your professional growth while ensuring a healthy work-life balance. Join us in a vibrant location where innovation thrives, and take your career in CG animation to new heights.
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We think this is how you could land Senior Data Analytics Consultant
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We think you need these skills to ace Senior Data Analytics Consultant
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!
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How to prepare for a job interview at BlackCube Labs
✨Brush Up on Your Statistics
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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
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✨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.
