Data Analyst – Web Analytics & Digital Performance

We are looking for a skilled and curious Data Analyst specializing in Web Analytics and Digital Performance to join our analytics team. This role combines strong analytical thinking with a practical understanding of how modern web applications, websites, and digital platforms operate.

The ideal candidate is comfortable working with large datasets generated by web traffic and user interactions, while also understanding the underlying web technologies that generate those data points. You will help transform raw digital activity into actionable insights that improve customer experience, operational efficiency, conversion performance, and business decision-making.

This position sits at the intersection of analytics, digital product optimization, customer behavior analysis, and web technology understanding.

Responsibilities:

Web Traffic & User Behavior Analysis

• Analyze website and application traffic patterns, user journeys, navigation flows, and engagement metrics.
• Monitor and interpret KPIs such as sessions, users, bounce rate, conversion rate, funnel completion, session duration, CTR, retention, abandonment rate, and traffic attribution.
• Identify anomalies, trends, bottlenecks, and behavioral patterns in digital channels.
• Build actionable recommendations to improve digital performance and customer experience.

Digital Performance Monitoring

• Analyze website and application performance metrics including page load time, API response times, rendering performance, error rates, availability metrics, and latency.
• Correlate performance indicators with user behavior and business outcomes.
• Collaborate with infrastructure, development, and DevOps teams.

Data Collection & Tracking Validation

• Validate implementation of analytics and tracking solutions.
• Ensure data quality and consistency.
• Investigate discrepancies between systems and data sources.
• Participate in defining measurement strategies and event taxonomies.

Reporting & Visualization

• Design dashboards, reports, and executive summaries.
• Present analytical findings clearly to business and technical stakeholders.
• Automate recurring reporting processes.
• Produce deep-dive analyses on customer behavior and platform performance.

Advanced Analytics & Pattern Detection

• Perform exploratory data analysis on high-volume datasets.
• Identify recurring user behavior patterns and session flows.
• Analyze customer journeys and conversion funnels.
• (Nice to have) Support predictive analytics and anomaly detection initiatives.

Cross-Functional Collaboration

• Work closely with Product Owners, UX/UI teams, Marketing, Software Engineers, QA, Infrastructure, and Cybersecurity teams.
• Translate business questions into measurable analytical models.
• Contribute to optimization initiatives and A/B testing programs.

Skills:

Analytics & Data Skills

• Strong SQL/Google Cloud - BigQuery skills.
• Experience with analytics platforms such as Google Analytics GA4, Power BI, Tableau
• Experience analyzing clickstream and event-driven datasets.
• Understanding of KPI methodologies and data quality.

Web Technology Knowledge

• Understanding of HTTP/HTTPS, cookies, session management, browser behavior, APIs, JavaScript tracking, HTML/CSS fundamentals, and tag management systems.
• Familiarity with CDN, caching, and cloud-hosted web architectures (fundamentals).

Data Processing & Automation

• (Optional) Experience with Python or R.
• (Optional) Familiarity with Pandas, NumPy, Jupyter notebook.
• Ability to work with structured and semi-structured data.

Database & Big Data Exposure

• Experience with SQL Server, PostgreSQL, MySQL, BigQuery, Snowflake ecosystems.

Desired Skills

• Experience with customer journey analytics.
• Familiarity with A/B testing frameworks.
• Exposure to GCP, AWS, and/or Azure.
• Understanding monitoring tools such as Grafana, Kibana, or similar.
• Knowledge of GDPR and consent management.

Soft Skills

• Curious and investigative mindset.
• Strong communication skills.
• Attention to detail.
• Collaborative and proactive attitude.
• Ability to balance technical depth with business value.

Typical Deliverables

• Executive dashboards
• Traffic trend analyses
• Conversion funnel reports
• User journey visualizations
• Campaign effectiveness analysis
• Data quality validation reports