Director, Data Science & Analytics

Responsibilities: 

• Manage a team performing analyses such as: advertising performance analysis, website analytics, customer segmentation, survey design and analysis, ROI modeling, lifetime value analysis, cross channel analysis, media mix analysis and brand research 

• Create measurement strategies, learning agendas and roadmaps with input from internal stakeholders 

• Package deliverables in an articulate and easy-to-understand fashion with a clear storyline that addresses client business needs 

• Understand the client's business, develop innovative approaches to solve their questions and present deliverables in a compelling manner that articulates their business value and impact 

• Maintain positive, collaborative partnerships with key internal stakeholders and clients 

• Exhibit strong analytical, project management, storytelling, and communication skills 

• Partner with Business Development to identify opportunities for business growth and development across new and existing accounts 

• Management/Leadership 

• Lead a team and manage its performance to deliver quality and timely deliverables 

• Clearly define project deliverables, timelines, and dependencies for junior team members, internal stakeholders, and clients 

• Empower direct reports to own their client relationships and projects and to contribute to the success of the DS team  

• Provide thought leadership internally and for clients 

• Demonstrate subject matter expertise in a domain such as web analytics or social, mobile, performance marketing, ecommerce, etc. 

Philosophy: 

• Strong strategic mindset. Complex and innovative problem solving, analytical, and critical thinking capabilities.  

• Customer-centric mindset with a passion for discovering consumer behavior, trends, and opportunities for innovation  

• Tendency to act as a self-starter with strong bias for action  

• Experience as a thought leader, curious and passionate about data with the ability to extract and tell compelling stories using data insights  

Experience Guidelines: 

• Bachelor’s degree, MBA, or master's degree in quantitative studies. The equivalent combination of education, training and work experience may be suitable 

• 8-12 years of work experience in a quantitative business environment 

• 5 + years in marketing analytics / 5+ years digital analytics / expert Excel 

• 5 + years of experience with SQL is a preferred  

• Experience with GA4 a plus 

• Experience with Adobe product suite and Adobe Certification preferred 

• Experience with tools such as PowerBI, Looker, Tableau, Alterx 

• Experience creating data pipelines, knowledge, and experience with data pipelines a plus 

• Experience with Snowflake and Salesforce reporting a plus 

• Passion for digital analytics, working with data and deriving insights to answer client business questions 

• Experience leading and delivering marketing analytics engagements 

• Strong knowledge of the digital space and digital analytics including the vendors and testing methodologies and approaches 

• Previous leadership experience and a proactive nature 

• Persuasive communication and client service skills with CMO level roles including the ability to explain complex concepts to diverse audiences 

• Strong organizational skills and attention to detail 

• Comfort with working in and contributing to a team-based environment 

• Management and mentorship of junior employees 

• Understanding of client's business models and how Ansira can create custom solutions to support them 

Extra Credit : 

• Experience working on big data projects on GCP and/or AWS.  

• Familiarity with data science and key machine learning techniques.  

• Find and extract data necessary for analysis using SQL, R, Python, and/or other programming/scripting languages  

• Experience or Expertise in applied Data Science methods  

• In-depth knowledge of behavioral sciences with CRM applications (e.g. habit forming, hook model, etc.)  

• Base understanding of psychology, social psychology, evolutionary psychology, and/or consumer neuroscience (i.e. consumer decision making)  

• Understanding of cognitive motivations including explicit and implicit motivational territories (e.g. emotional priming)