Sr Omni-Channel Analyst

Sr Omni-Channel Analyst

Requirements

• 5+ years of professional career experience
• 3+ years of analytical experience
• Familiar with digital data collection methods and analysis of web and/or mobile app platforms
• Proficiency in SQL, R, or Python programming languages
• Working knowledge of machine learning, artificial intelligence and predictive analytics
• Demonstrated ability to dissect data, define segmentation scenarios, and target use cases
• Ability to distill analysis into concise recommendations and present to various levels of audiences, including executives
• Persuasion skills to effectively guide decision-making using action-oriented data insights
• Independent time management and prioritization skills with an ability to meet deadlines
• Intuition for anticipating outcomes, envisioning the right course of action, and influencing successful business outcomes
• Succinct and clear communication in verbal, written, and visual mediums
• Successful performance in an evolving field where new tools and technology are the norm
• Proven relationship skills with thought partners, clients, and collaborative teams
• Curiosity to push the envelope with good judgment to mitigate risk
• Familiar with A/B Testing and/or web/mobile app optimization
• Proficient in Microsoft Office (Outlook, Excel, PowerPoint, Word, OneNote)
• Proficient in collaboration tools (ex. SharePoint, Google Docs, etc)

Responsibilities

• Utilize measurement to support business objectives
• Collaborate with business, technology, and other analytics partners to determine data needs and establish data collection requirements based on those needs
• Oversee accurate implementation of data collection requirements by executing quality assurance procedures and on-going anomaly detection efforts
• Support partner teams with regular reporting, ad-hoc analyses, and deep-dive projects from start to finish using industry best practices and unique self-driven ideas
• Use statistical methods to solidify validity of findings and explain those concepts to non-experts
• Independently drive priorities and recommendations to fruition
• Represent the team as the owner of channel data collection using knowledge and use-cases for solving business questions
• Discover areas of opportunity for data improvement and follow-through to see those improvements implemented
• Proactively seek out additional information to round out analyses and confirm assumptions
• Be a participatory member of tactical teams with on-going initiatives
• Leverage professional experiences to demonstrate analytical aptitude and support project lifecycles
• Prepare analytical plans, including milestones, hypotheses, and data sources necessary, to complete complex deep dive analysis
• Maintain reference materials for performance reporting and contextual insight
• Design clean, visually appealing, effective and impactful reports and visuals for executive leadership consumption
• Succinctly present stories with a focus on actionable outcomes fit for the audience
• Problem solve and participate in ‘Blue Sky’ sessions, coming up with new ideas and concept design
• Contribute to data strategy solutions in a collaborative and supportive environment
• Continuously evolve reporting capabilities by way of innovation and efficiencies
• Proactively analyze and solve business problems that business partners may not know they have
• Make judgement calls in tight-turnaround situations with confidence and weigh pros vs cons
• Demonstrate poise in all interactions with partners and internal teams with a solutions oriented attitude
• Respond to partner inquiries and seek to understand needs in a business context before setting expectations and commitments
• Meet or exceed expectations with time and resources available by communicating to leadership and partners if adjustments need to be made
• Lead peers in collaborative analytical efforts and cross-train other members of the team
• Conduct business with compliance and safety requirements top of mind at all times

Preferred Qualifications

• 5+ years using Adobe Analytics or other digital analytics toolsets
• 3+ years experience with data warehouse platforms
• Familiar with push and in-app messaging analytics
• Strong understanding of A/B Testing and eCommerce optimization
• Travel industry and eCommerce experience
• Experience with predictive analytics and experience personalization
• Project management experience
• Leadership experience