Business Intelligence (BI) Analyst

As a Business Intelligence (BI) Analyst at our company, you will play a crucial role in driving data-driven decision-making for our messaging platform. Your focus will be on analysing user behaviour, product performance, campaign effectiveness, and operational metrics to provide valuable insights to our product, marketing, and leadership teams. Key Responsibilities: - Analyse large-scale user and message-level data to generate actionable insights. - Design, build, and maintain BI dashboards and reports for product, growth, and operations teams. - Track key product metrics such as DAU/MAU, message delivery rates, retention, churn, funnel conversion, and engagement. - Partner with Product Managers, Engineering, Marketing, and Leadership to define KPIs and reporting needs. - Perform deep-dive analysis on user cohorts, feature adoption, and A/B experiments. - Ensure data accuracy, consistency, and reliability across dashboards and reports. - Translate complex data findings into clear business insights and recommendations. - Support ad-hoc data requests and strategic analysis. Qualifications Required: - Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, or related field. - Strong experience in SQL (complex queries, joins, window functions). - Hands-on experience with BI tools such as Tableau, Power BI, Looker, or Superset. - Experience working with large datasets (millions/billions of events). - Solid understanding of data modelling, ETL pipelines, and data warehouses. - Strong analytical thinking and problem-solving skills. - Ability to communicate insights clearly to non-technical stakeholders. - Experience in messaging apps, social platforms, or B2C consumer products. - Knowledge of Python or R for data analysis. - Familiarity with event-based analytics (Mixpanel, Amplitude, GA4). - Understanding of A/B testing frameworks and experimentation. - Experience with real-time analytics or streaming data (Kafka, Spark). In this role, you will be part of a dynamic team that values data-driven insights and fosters collaboration across various departments to drive business success. As a Business Intelligence (BI) Analyst at our company, you will play a crucial role in driving data-driven decision-making for our messaging platform. Your focus will be on analysing user behaviour, product performance, campaign effectiveness, and operational metrics to provide valuable insights to our product, marketing, and leadership teams. Key Responsibilities: - Analyse large-scale user and message-level data to generate actionable insights. - Design, build, and maintain BI dashboards and reports for product, growth, and operations teams. - Track key product metrics such as DAU/MAU, message delivery rates, retention, churn, funnel conversion, and engagement. - Partner with Product Managers, Engineering, Marketing, and Leadership to define KPIs and reporting needs. - Perform deep-dive analysis on user cohorts, feature adoption, and A/B experiments. - Ensure data accuracy, consistency, and reliability across dashboards and reports. - Translate complex data findings into clear business insights and recommendations. - Support ad-hoc data requests and strategic analysis. Qualifications Required: - Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, or related field. - Strong experience in SQL (complex queries, joins, window functions). - Hands-on experience with BI tools such as Tableau, Power BI, Looker, or Superset. - Experience working with large datasets (millions/billions of events). - Solid understanding of data modelling, ETL pipelines, and data warehouses. - Strong analytical thinking and problem-solving skills. - Ability to communicate insights clearly to non-technical stakeholders. - Experience in messaging apps, social platforms, or B2C consumer products. - Knowledge of Python or R for data analysis. - Familiarity with event-based analytics (Mixpanel, Amplitude, GA4). - Understanding of A/B testing frameworks and experimentation. - Experience with real-time analytics or streaming data (Kafka, Spark). In this role, you will be part of a dynamic team that values data-driven insights and fosters collaboration across various departments to drive business success.