Data Analyst with Web Analytics
- Tip: Full time
- Nivel: Middle
- Experiență: Intre 2 - 5 ani
The purpose of this role is to combine strong analytical thinking with a practical understanding of how modern web applications, websites, and digital platforms operate.
What you should do:
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.
What we want you to know:
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
Sure you are interested!
How we work: Hybrid
What we offer : competitive salary, performance bonus, medical subscription & insurance top-up, meal tickets & holiday vouchers, 3rd pillar pension, on-site massage, fruit mondays, Employee Assistance Program (EAP), on-site cafeteria, discounts & vouchers.
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