The position is a full-time Data Analyst role requiring a minimum of 7 years of experience.
The candidate will be responsible for turning data into actionable insights that improve user experience and drive business results.
The ideal candidate will have a strong analytical mindset, hands-on expertise with digital analytics tools, and an excellent understanding of user behavior across digital platforms.
Responsibilities include analyzing user journeys, conversion funnels, traffic sources, and engagement metrics to uncover friction points and opportunities for optimization.
The Data Analyst will build, maintain, and update dashboards and reports using tools like Tableau, Power BI, or Looker Studio to provide real-time visibility into digital KPIs.
The role involves translating complex analytical data into clear, concise business insights for product, marketing, and design stakeholders.
The candidate will partner with marketing and optimization teams to evaluate A/B tests, personalization strategies, and campaign performance.
Ensuring data accuracy and integrity by validating analytics setups, monitoring tagging via Google Tag Manager (GTM) or Adobe Launch, and resolving discrepancies is also a key responsibility.
The Data Analyst will identify emerging user behavior trends through heatmaps and session recordings using tools like Hotjar to drive UX/content improvements.
Collaboration with engineering teams to implement proper event tracking and measurement protocols aligned with business objectives is essential.
Requirements:
The candidate must have 7+ years of experience in digital or web analytics with a proven track record of delivering business-impacting insights.
Proficiency in enterprise analytics platforms such as Google Analytics 4 (GA4) and Adobe Analytics is required.
Hands-on experience with data visualization and reporting tools like Tableau, Power BI, or Looker Studio is necessary.
A strong understanding of digital experience KPIs, conversion metrics, and user journey mapping is essential.
The ability to synthesize complex datasets into digestible formats and actionable insights is required.
Familiarity with tagging frameworks and digital data layer structures using GTM or Adobe Launch is necessary.
Strong Excel/Google Sheets skills for data manipulation and validation are required.
Exposure to behavioral analysis tools such as Hotjar, Crazy Egg, or similar is a plus.
Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders are essential.
Benefits:
The position offers the opportunity to work closely with various teams including UX, product, marketing, and engineering.
The role allows for significant contributions to enhancing user engagement and optimizing digital experiences.
The Data Analyst will play a key role in informing product strategy through data-driven decisions.
The position provides a platform for professional growth and development in the field of data analytics.
