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Senior Consultant

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.

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Position Overview:

Fractal is looking for a proactive and drivenSenior Consultantto join our Decision Science Consulting teamin London, UK. In this role, you will play a vital role as the client and team lead with hands-on involvement in project management, business interpretation and application of solutions, client communication, insights/results delivery. You will collaborate with your team and peers by developing resourcing plans, managing revenue goals, and contributing to new business development.

S/He is expected to work directly with the client in a fast-paced working environment to address their day-to-day analytics needs. They will need to address business problems by incorporating the business context to design and develop solutions that leverage statistical & advanced analytics methodologies. They should be able to form hypotheses and develop models to support decision making. They will be expected to build in efficiencies through standardization and automation. They will also be responsible for building a data infrastructure, identifying the various customer journeys and measuring the impact of marketing campaigns

Responsibilities:

Create and maintain robust data pipelines to extract, transform, and load data from multiple sources, ensuring data quality, integrity, and availability

Insight generation - transform the data into valuable insights and share recommendations

Target setting - Quarterly target setting based on forecasts and marketing activities planned for the quarter

A/B Testing - Design and execute A/B tests, analyze results, and provide insights and recommendations to optimize business outcomes.

User Analytics - Understanding user behavior throughout the lifecycle

Predictive analytics - Recommendation engines to drive engagement with end-users

Marketing measurement - Evaluating effectiveness of marketing campaigns wrt key success metrics

Qualifications:

Bachelors or equivalent experience in statistics, computer science, engineering, informatics, data science, or related field; additional business degree is a plus

5+ yrs. overall experience with at least 3+ years of hands-on experience in running data analytics projects

Strong background in Business analytics

Proficient in programming: Proficiency in languages such as Python, R, or Scala and SQL

Experience with A/B testing and incrementality testing: Demonstrated experience in planning, executing, and analyzing A/B tests and incrementality studies to derive actionable insights and drive decision-making.

Excellent communication and collaboration: Effective communication skills to present complex findings to both technical and non-technical stakeholders, collaborate with cross-functional teams, and drive project success.

We believe that finding a candidate with a strong combination of data science expertise and engineering skills will greatly enhance our team's capabilities and contribute to our data-driven decision-making processes.

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

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