Application Data Analyst

Description:

We are looking for a highly skilled Application Data Analyst to join our team in Lahore. This role is structured to be 60% Technical and 40% Business-focused, leveraging SQL, Power BI, database tables, and custom dashboards to analyze digital user behavior across web and mobile platforms.

🛠 What You Will Do

Data Analysis & Insights

Analyze digital user behavior across web, mobile, and internal applications using tools like Google Analytics, Adobe Analytics, Dynatrace, and Quantum Metric.

Build and maintain high-impact Power BI / Tableau dashboards to track key performance metrics and report on user engagement, conversion, and retention.

Perform deep-dive SQL queries to uncover trends, identify friction points in buyflows, and highlight optimization opportunities.

Cross-Functional Collaboration

Work closely with UX, Product, Marketing, and Development teams to ground product strategies in solid data.

Collaborate with personalization teams to drive targeted user segmentation and tailored digital experiences.

Partner with customer service teams to analyze and refine digital service journeys.

Data Governance & Optimization

Ensure data accuracy and tracking integrity across platforms, collaborating with developers on tagging/tracking implementations via Google Tag Manager or Adobe Launch.

Maintain compliance with data privacy regulations and troubleshoot data inconsistencies across reporting systems.

🎯 Who You Are

Qualifications & Skills:

Experience: 3+ years of experience in digital data analytics, with a strong focus on web and mobile application performance.

Technical Proficiency: Strong expertise in SQL, Power BI (or Tableau/Looker), and digital analytics platforms (Google Analytics, Adobe Analytics, Dynatrace, etc.).

Data Manipulation: Hands-on experience using Python or SQL for data manipulation, querying, and advanced analytics.

Tagging & Tracking: Solid understanding of web analytics tagging and tracking setups (e.g., Google Tag Manager, Adobe Launch).

Communication: Exceptional communication and presentation skills—able to explain complex data trends clearly to non-technical stakeholders and build strong business partnerships.

Nice-to-Haves / Bonus:

Industry experience in Telecommunications or eCommerce/Retail.

Familiarity with AI-driven analytics tools and predictive analytics.

Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.