Education

– Bachelor’s degree, preferably in Business, Marketing or a quantitative field
like Economics, Mathematics or Statistics

Desired Profile

– Hands-on experience with Adobe Analytics and related products (Adobe Launch, Adobe Target, Tealium etc.) Knowledge of tag management systems
(such as Google Tag Manager or Tealium). Experience with command-line statistical analysis software (e.g. Python or R), SQL (analytic
functions, subqueries, window functions, etc), Snowflake, DBT
– Experience in SQL, JavaScript, Jquery and QA tools like Charles,tag management like Tealium

Roles and Responsibilities

Work Model – Hybrid
– In this role, you will be responsible for digital marketing analytics,
particularly Adobe Analytics and the use of adobe analytics to analyze
website and app performance, feature benefits analyses, track and
monitor campaign KPIs and enable self-serve consumption across marketing
and merchandising teams
– Provide leadership for digital transformation across the organization
by leveraging new cloud technologies and existing enterprise technologies
Collaborate with internal stakeholders to independently identify
defects, develop tracking requirements, conduct analyses, create
dashboards reports, and establish KPIs and related metrics for site
features, enhancements, and redesigns.
– Manage and execute end-to-end vendor tag and API planning, implementation,
and enhancements for media vendors, while adhering to tag management
best practices and staying up-to-date with media measurement trends
and privacy / governance requirements
– Own bot identification and suppression for Adobe Analytics to maintain
the validity of site metrics. Act as point person for collaboration with the
Fraud and Information Security teams to suppress and prevent future bot
attacks on our site.
– Answer key business questions through statistical analyses, reporting
and dashboards using analytics tools available to the teams (SQL, R, Python, Excel, Adobe Analytics) & Prepare executive-ready presentations
summarizing findings and recommendations, and automate reports
and dashboards that the organization finds valuable
– Demonstrate product mindset to understand business needs and come up
with scalable engineering solutions
– Use Charles Debugger and Tealium EventStream to QA and debug the
website and mobile app, and use these tools to assist with QA for regular code
releases with Tech.