The Digital Analytics Manager will be responsible for end-to-end data analysis, process oversight, and team development. Their responsibilities will range from hands-on partnership with developers, collaboration with user research and UX for feature design, as well as building measurement plans and providing deep-dive analyses. They will perform data analysis within Adobe Analytics and will share findings and actionable insights to stakeholders through the creation of dashboards and presentations, all developed with the end user in mind.
Job Description:
- Lead comprehensive end-to-end process, from data collection to presentation of key findings and actionable insights
- Provide an objective source of truth to assess campaigns, new and existing site features
- Align learning agendas and own creation of measurement plans with cross-functional partners and stakeholders
- Partner with stakeholders to set expected outcomes and goals for new site features as well as build repeatable processes out
- Partner across the Data & Analytics organization to pair onsite data with qualitative findings and customer data and nurture team on how to leverage more than just quantitative data
- Build effective relationships and process standards with core stakeholders – data science, product managers, developers, user research, user experience, etc.
- Own relationships with cross-functional partners and vendors for data feeds to and from Adobe
- Lead Adobe Analytics training sessions for cross-functional partners and other digital analysts
- Quantify and summarize feature outcomes and effectively present recommended go-forward strategies to key stakeholders and expert leaders
- Provide input on future website/app enhancements based on performance knowledge and prior analyses/test results from the “learnings repository”
- Perform QA of data collection and recommend necessary fixes and updates; escalate high-impact issues to leadership for resolution
- Develop ad hoc queries and analyses that combine multiple tools, data sources, and types to supplement test reads generated by the testing platform
- Independently identify optimization opportunities on the site which increase conversion and enhance user experience
Qualifications:
- Bachelor’s degree required; Master’s preferred
- 5+ years of digital/eCommerce, analytics, and product management, or other related experience
- Expertise in Web Analytic tools (Adobe Analytics – preferred; Google Analytics)
- Experience with testing/optimization platforms is a plus (Optimizely, Adobe Target, etc.)
- Experience with data visualization tools (Adobe Workspace, Tableau, Power BI, etc.)
- Experience mentoring and managing a team
- Excellent written and verbal communication skills and ability to present to executives, nontechnical and technical audiences
- Experience with customer data or marketing is a plus (media, SQL, database, consent, etc.)
- Ability to consolidate and package results and insights into well-organized, consumable presentations with actionable recommendations and strategies
- Comprehensive understanding of e-commerce, usability principles, and site technologies
- Demonstrated ability to develop and activate data-driven strategies to enhance customer experience
- Strong project management and organizational skills
- Proficient in MS Office core suite (Excel, PowerPoint, Word, Outlook)
- Must perform well in high-pressure situations, balance competing priorities, and demonstrate the ability to work without significant direct supervision
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.