Business Intelligence Analyst, Senior

• Communicate effectively with both technical and non-technical stakeholders.
• Facilitate cross-functional discussions and build consensus across teams.
• Influence senior stakeholders and contribute to strategic decisions.
• Translate business requirements into analytical deliverables and actionable insights.
• Present complex findings clearly using data storytelling and compelling visualizations.

• Perform descriptive, diagnostic, and advanced statistical analysis to uncover trends, issues, and opportunities.
• Conduct statistical hypothesis testing and interpret results to guide decision-making.
• Work with regression and classification models; collaborate with data scientists when needed.
• Prepare data for modeling: feature engineering, pipeline development, and model evaluation.
• Use custom SQL and automated workflows to transform and analyze data efficiently.

• Design and maintain analysis-ready data models by combining multiple data sources.
• Execute data quality procedures and perform manual transformations when necessary.
• Maintain high data integrity through rigorous auditing and testing practices.
• Collaborate on scalable, well-governed data architecture solutions.

• Identify and lead small-to-medium projects that solve business problems or unlock new opportunities.
• Define and manage timelines, dependencies, and risks across analytics initiatives.
• Scope and deliver impactful projects independently or as a team lead.
• Contribute to team OKRs and act as a subject matter expert in key domains.

• Work with data from CRM, web analytics, product, marketing automation, and purchasing systems.
• Use BI tools (e.g., Tableau, Power BI) to build dashboards and visualizations.
• Apply Agile tools and methodologies to deliver iteratively and respond to changing priorities.
• Leverage AI and emerging data tools to improve analysis and workflows.

• Design and execute end-to-end research projects using both qualitative and quantitative methods.
• Build questionnaires, script surveys, and integrate with internal data pipelines.
• Analyze survey data and synthesize results into business recommendations.
• Work with external research agencies when needed.

• 4–6 years of experience in data analysis, analytics engineering, or related fields.
• Strong proficiency in SQL, Python or R, and BI/reporting tools.
• Solid foundation in statistics, hypothesis testing, and performance metrics.
• Experience working with cross-functional teams and presenting to senior stakeholders.
• Proven ability to scope and manage analytical projects independently.

• Familiarity with machine learning concepts and experience working with data science teams.
• Understanding of data governance principles and enterprise-level data infrastructure.
• Experience with survey platforms and research methodologies.
• Ability to influence without authority and drive alignment across diverse teams.

• Competitive remuneration package 
• Employee Stock Purchase Plan Enrolment 

• 30 days of earned leave
• An extra day off for your birthday
• Various other leaves like marriage leave, casual leave, maternity, and paternity leave
• Premium Group Medical Insurance for employees and five dependents, personal accident insurance coverage, life insurance coverage
• Professional development reimbursement  
• Interest subsidy on loans - either vehicle or personal loans

Together, We Make Progress

Progress is an inclusive workplace where opportunities to succeed are available to everyone. As a multicultural company serving a global community, we encourage a wide range of points of view and celebrate our diverse backgrounds. Our unique combination of perspectives inspires innovation, connects us to our customers and positively affects our communities. It is only by working together and learning from each other that we make Progress. Join us!