Senior Business Intelligence Analyst

Requirements

About the Role:

Senior Business Intelligence (BI) Analyst

SQL, Python, Tableau, Power BI, and Looker

statistical modeling

A/B testing

data visualization

Google Cloud Platform (GCP)

Jupyter Notebook

Key Responsibilities:

• Team Leadership & Project Management:
• Lead and mentor a team of data analysts to develop actionable insights, campaign performance reports, and ad hoc data requests.
• Oversee the design, development, and deployment of reports and dashboards aligned to business objectives.
• Campaign Analytics & Business Metrics:
• Design, measure, and analyze marketing and product campaigns using A/B testing, hypothesis testing, and regression analysis.
• Summarize key business metrics and identify trends, anomalies, and improvement opportunities across verticals.
• Data Modeling & Statistical Analysis:
• Build frameworks and predictive models for customer segmentation, clustering, and ROI optimization.
• Apply statistical methods to forecast performance, evaluate campaign effectiveness, and drive business strategy.
• Reporting & Visualization:
• Develop interactive and scalable dashboards using Tableau, Power BI, and Looker.
• Collaborate with stakeholders to build intuitive data visualizations and presentations for various business units.
• Process Automation & Efficiency:
• Use SQL and Python to automate ETL pipelines, reduce manual reporting efforts, and streamline workflows.
• Enhance data governance and accuracy through validation processes and quality checks.
• Training & Mentorship:
• Conduct internal training sessions on SQL, Python, and data analysis best practices.
• Foster a culture of continuous learning and analytical rigor within the team.
• Stakeholder Collaboration:
• Partner with business leaders, product owners, and marketing teams to translate business requirements into analytical solutions.
• Deliver timely insights and provide strategic recommendations to influence critical decisions.
• Vendor & Tool Management:
• Manage external analytics vendors and oversee third-party data tools.
• Evaluate and implement new BI tools and technologies to enhance the team's capabilities.
  

Skills and Qualifications:

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• 6+ years of hands-on experience in business intelligence, data analytics, or a similar role.
• Advanced proficiency in SQL, Python, Tableau, Power BI, and Looker.
• Experience with GCP, Jupyter Notebook, and working in a cloud-based analytics environment.
• Strong background in hypothesis testing, regression analysis, clustering, and A/B testing.
• Proven ability to lead cross-functional teams and deliver business insights under tight deadlines.
• Excellent communication and stakeholder management skills