Business Intelligence Analyst, Senior, Business Operations and BI @ Bengaluru - Progress Careers Business Intelligence Analyst, Senior Business Intelligence Analyst, Senior
Business Operations and BI
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We are Progress (Nasdaq: PRGS) - a trusted provider of software that enables our customers to develop, deploy and manage responsible, AI powered applications and experiences with agility and ease.
We re proud to have a diverse, global team where we value the individual and enrich our culture by considering varied perspectives because we believe people power progress. Join us as a Business Intelligence Analyst, Senior and help us do what we do best: propelling business forward.
We are seeking a highly skilled and driven Business Intelligence Analyst, Senior, to join our growing team. In this role, you will collaborate cross-functionally to identify and solve complex business problems using data. You will lead medium-sized projects, influence stakeholders across departments, and deliver data products and insights that directly inform strategic and tactical decision-making.
As a Business Intelligence Analyst, Senior, you will take ownership of your workstreams, help define requirements and priorities, and play a key role in shaping the data foundation and analytical practices across the organization.
In this role you will:
Stakeholder Engagement & Communication
- 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.
Data Analysis & Modeling
- 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.
Data Management & Quality
- 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.
Business Impact & Project Leadership
- 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.
Tools, Systems & Technical Environment
- 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.
Research & Market Understanding
- 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.
Your background:
- 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.
Preferred Qualifications
- 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.
If this sounds like you and fits your experience and career goals, we d be happy to chat. What we offer in return is the opportunity to experience a great company culture with wonderful colleagues to learn from and collaborate with and also to enjoy:
Compensation
- Competitive remuneration package
- Employee Stock Purchase Plan Enrolment
Vacation, Family, and Health
- 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
Apply now!
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