Data Analyst – Business Intelligence

Role Overview

Data Analytics & Insights

• Collect, clean, and analyze data from multiple digital sources (web, app, CRM, marketing, and sales systems).
• Build automated dashboards and reports using tools like Power BI, Tableau, or Google Data Studio to track platform KPIs.
• Identify user trends, engagement drivers, and conversion patterns across verticals (classifieds, content, properties, jobs, cars, etc.).
• Generate actionable insights that support leadership decision-making and operational efficiency.
• Analyze marketing funnel performance and user acquisition metrics to identify growth opportunities.

Data Engineering & ETL

• Design, build, and maintain robust and scalable ETL pipelines to ingest and process data from a wide variety of sources, including web, app, CRM, marketing, analytics logs, and sales systems.
• Utilize both off-the-shelf and custom solutions (e.g., Azure Data Factory, custom Python scripts) to collect, transform, clean, and load data into our data warehouse, ensuring data quality, integrity, and accessibility.
• Develop a consolidated data architecture to support unified reporting, business intelligence, and advanced analytics.

Machine Learning & Predictive Modeling

• Design, develop, and deploy machine learning and predictive models to understand customer behavior, predict churn, and identify growth opportunities.
• Apply statistical analysis and modeling techniques to build frameworks for measuring user lifetime value, optimizing pricing strategies, and forecasting revenue.
• Implement A/B testing frameworks and conduct experiments to measure the performance of new features, marketing campaigns, and product changes.

Customer Data Platform (CDP) & Analytics

• Lead the development and implementation of a Customer Data Platform (CDP) to create a single, unified view of the customer journey.
• Integrate the CDP with our marketing and sales platforms to enable advanced audience segmentation, personalization, and targeted advertising.
• Attach machine learning models to the CDP to analyze customer behavior patterns, predict future actions, and deliver actionable insights to the business.

Monetization & Growth

• Develop data-driven monetization strategies, such as audience segmentation, advertising optimization, and data-based product offerings.
• Partner with Sales and Marketing teams to enhance campaign targeting, ad performance (CTR, CPC, CPM, ROAS), and audience segmentation, and cross-channel attribution
• Support pricing strategy and revenue forecasting through predictive analytics and business modeling.
• Build frameworks to measure subscription and user lifetime value.

Data Infrastructure & Governance

• Collaborate with Technology teams to ensure accuracy, integrity, and consistency of data across all systems.
• Establish and maintain clear KPIs, data definitions, and governance standards.
• Ensure compliance with ethical and legal standards for data usage.

Cross-Functional Collaboration

• Work with Marketing, Product, and Commercial teams to drive experiments (A/B tests) and measure performance outcomes.
• Present findings in a visually engaging and business-focused manner for executives and stakeholders.
• Translate analytical insights into actionable business recommendations.

Qualifications & Experience

• **Education:**
• Bachelor's or Master's degree in Data Science, Business Analytics, Statistics, Computer Science, Economics, or related field.
• **Experience:**
• 5–8 years of experience in data analytics, business intelligence, data engineering, or growth analytics within a digital, e-commerce, or media technology company.
• **Technical Skills:**
• Strong knowledge of SQL, Python (pandas, numpy, matplotlib, scikit-learn), and BI tools such as Power BI, Tableau, or Google Data Studio.
• Experience with ETL/ELT tools (e.g., Azure Data Factory, Apache Airflow, or similar).
• Proficiency in machine learning and predictive modeling techniques for forecasting, customer behavior analysis, and LTV modeling.
• Experience with data warehousing solutions (e.g., Snowflake, BigQuery, Azure Synapse).
• Knowledge of Customer Data Platforms (CDP) and customer journey analytics.
• Experience with Google Analytics 4, BigQuery, or Looker is a plus.
• **Business Skills:**
• Proven track record in using data to enhance business performance, customer acquisition, retention, and monetization.
• **Soft Skills:**
• Strong communication, data storytelling, and cross-functional collaboration.
• Ability to translate complex data into simple insights.

Preferred

• Experience in audience segmentation, ad performance analytics, or subscription data modeling.
• Background in digital media, advertising, or marketplace platforms.
• Familiarity with data monetization models and creation of data-based products or reports.
• Hands-on experience implementing CDP solutions (e.g., Segment, mParticle, Adobe CDP, or similar platforms).
• Experience with cloud platforms (Azure, or GCP) for data infrastructure.
• Knowledge of A/B testing methodologies and experimentation platforms.