Job Description

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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