Senior Consultant

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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  

Location: Sunnyvale, USA / Remote

Position Overview
Fractal is looking for a proactive and driven Senior Consultant to join our Decision Science Consulting team in the San Francisco, CA area. 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.  
 
This is a perfect opportunity for someone, who is looking to combine best-in-class analytics skills with strong problem-solving and communication abilities to lead analytical work to help clients solve strategic, tactical, and operational business problems. 
 

Qualifications

• Experienced data scientist with 5+ years of experience developing data reporting solutions and strategy across digital/web marketing platforms and social ecosystems.  

• Experience analyzing the launch of new products, services, marketing campaigns and websites 

• Strong communication and presentation skills with the ability to present analyses to a diverse group of stakeholders including data scientists, creatives, and marketing leaders.  

• Curiosity to dive below the surface and identify important strategic implications in the data.  

• In-depth knowledge of digital analytics data, measurement, methodologies and industry standards.  

• Able to balance multiple projects and assignments with a focus on efficiency.  

• Team player who enjoys collaborating with others 

Technical Skill

• Strong working knowledge of Adobe Analytics, Google Analytics or other web measurement platforms (Adobe Preferred).  

• Strong working knowledge of SQL, Snowflake experience preferred 

• Experience with a scripting language (Python or R) 

• Proficiency with Tableau or other Data Visualization tools.  

Responsibilities

Core responsibilities cover three pillars:  

i. Digital Analytics:

• As a data scientist in the Marcom Data Science team, you will work with business partners across multiple marketing functions to provide actionable analysis and insights. 

• Lead a select number of strategic analyses to provide teams and leaders with actionable insights regarding opportunities to improve traffic, engagement, and conversion.  

• You will coordinate the production of 360-degree analysis that will involve weaving the output of multiple analytical disciplines, and multiple datasets into a unified analysis.  

ii. New Product Launch Analysis:  

• You will tackle the analysis of New Product Launches & Services, and how they are received and experienced by customers across multiple touchpoints.  

• You will create detailed analysis and reporting plans with stakeholders and then coordinate with analytics colleagues and business partners to execute.  

iii. Campaign Performance Analytics:  

• Partner with Data Scientists across Marcom, Retail, and Operations on projects to increase the sophistication of our experimentation program and deliver deeper insights about marketing performance.  

Education

• Bachelor’s degree with quantitative emphasis. Statistics, Data Science, Mathematics, Operations Research, Computer Science, Marketing Analytics, or related field.  

• Master’s Degree desirable.  

Pay
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.  The disclosed range estimate ha