Local Candidates Only~ Applicants must be authorized to work for any employer in the U.S. We are unable to support or sponsor any U.S. immigration benefit (such as, but not limited to, H-1B, TN, STEM OPT) now or in the future.
We are looking for a data-driven, business-minded Data Analyst to join our E-Commerce and Martech pod. This role is critical to helping the team understand the health of the business, prioritize what to build next, and measure the impact of what we ship. You will work closely with Product, Engineering, and Marketing to turn data into clear insights and actionable recommendations. This is not a passive reporting role—you are expected to proactively surface opportunities, identify gaps, and influence decisions across the pod.
Duties and Responsibilities:
Define & Monitor Business Health
- Establish and maintain a clear view of E-Commerce and Marketing performance, including:
- Conversion rates, funnel performance, and drop-offs
- Customer acquisition and engagement metrics
- Campaign and journey effectiveness
- Build dashboards and reporting that provide real-time visibility into business health
Drive Product & Feature Insights
- Partner with Product and Engineering to:
- Identify what we should work on next based on data
- Analyze user behavior to uncover friction points and opportunities
- Translate data into clear, prioritized recommendations, not just metrics
Measure Impact of Feature Launches
- Define success metrics and tracking plans for new features
- Analyze post-launch performance to answer:
- Did it move the needle?
- What worked and what didn’t?
- What should we iterate on next?
- Provide clear readouts to stakeholders and leadership
Own Analytics Implementation Quality
- Ensure accurate tracking and instrumentation using:
- Google Analytics
- Google Tag Manager
- Partner with engineers to validate data flows and event tracking
- Identify and fix gaps in data collection
Build & Evolve the Data Stack
- Create and maintain dashboards using tools like Tableau
- Evaluate and propose new tools or frameworks to improve:
- Data accessibility
- Experimentation capabilities
- Insight generation speed
Enable a Data-Driven Pod
- Embed data into day-to-day decision-making
- Support sprint planning and prioritization with data insights
- Educate stakeholders on how to interpret and use data effectively
Experience:
- 3–6 years of experience in data analytics, preferably in e-commerce, marketing, or digital product environments
- Proven track record of influencing product or business decisions through data
Technical Skills
- Strong experience with:
- Google Analytics
- Google Tag Manager
- Tableau
- Proficiency in SQL and working with structured datasets
- Understanding of event-based tracking and digital analytics implementation
Analytical Thinking
- Ability to move from data → insight → recommendation
- Strong problem-solving skills and attention to detail
- Experience analyzing funnels, A/B tests, and user behavior
Business & Product Mindset
- Understands how digital products and marketing efforts drive business outcomes
- Comfortable working in a fast-paced, cross-functional pod
- Able to prioritize work based on business impact
Proactive & Influential
- Doesn’t wait for requests—actively surfaces insights and opportunities
- Communicates clearly with both technical and non-technical stakeholders
- Comfortable challenging assumptions with data
What Makes This Role Different
- Focus on decision-making and impact, not just reporting
- Embedded within a pod (Product + Engineering + Marketing)
- Direct influence on what gets built and how success is measured
- Ownership of both analytics quality and insight generation
- Opportunity to shape the data strategy and tooling
How We Work
- Pod-based model with high ownership and accountability
- Data is a core input into prioritization and delivery decisions
- Close collaboration across Product, Engineering, and Marketing
- Continuous improvement mindset with fast feedback loops
Why Join ADT?
- High-impact role shaping E-Commerce and Martech performance
- Opportunity to influence product strategy with data
- Work on a modern digital stack with strong cross-functional exposure
- Ability to define and evolve how data is used across the organization
Los Angeles Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Philadelphia Applicants: Background checks will be conducted during the employment process. Any information will be reviewed through an individualized assessment in accordance with the Philadelphia Fair Criminal Record Screening Standards Ordinance.