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Senior Data Analytics Consultant

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.  

Please visit Fractal | Intelligence for Imagination for more information about Fractal  

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 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

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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