Responsibilities:
Job Specifics
Execute 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
Develop measurement strategies, recommend 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
Delivery Leadership
Deliver quality and timely deliverables
Clarify project deliverables, timelines, and dependencies for internal stakeholders, and clients
Build 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
5-10 years of work experience in a quantitative business environment
5 + years in marketing analytics / 5+ years digital analytics
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, Alteryx
Experience creating and working with data pipelines is 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
Strong knowledge of the digital space and digital analytics including the vendors and testing methodologies and approaches
Strong organizational skills and attention to detail
Comfort with working in and contributing to a team-based environment
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)
