Sr. Business Intelligence Developer

COLLETTE TRAVEL SERVICE INC•Pawtucket, RI

3d•$120,000 - $160,000•Hybrid

About The Position

Collette is seeking a hands-on Senior Business Intelligence Developer to design, build, and support enterprise analytics solutions using Microsoft Power BI, Microsoft Fabric, and Snowflake. This role will partner with business stakeholders, data engineers, architects, and analysts to translate business needs into intuitive reports and dashboards, accurate AI powered data agents, scalable semantic models, and trusted analytics products. The ideal candidate combines strong BI engineering skills with business acumen, a product mindset, and a commitment to data quality. This person will help modernize Collette’s reporting and analytics environment, establish reusable development standards, and enable decision-makers across the organization to confidently use data.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related discipline, or equivalent practical experience.
15+ years of experience developing business intelligence and analytics solutions, including substantial hands-on Power BI development experience.
Strong SQL and Python skills and experience working with relational databases, cloud data warehouses, and dimensional data models.
Experience with performance tuning, troubleshooting, monitoring, testing, and production support.
Experience with source control, deployment pipelines, environment promotion, and disciplined software development practices.
Ability to gather requirements, challenge assumptions constructively, and translate business needs into maintainable technical solutions.
Excellent written, verbal, presentation, and stakeholder-management skills.
Experience in travel, hospitality, retail, financial services, or another consumer-facing industry.
Microsoft certifications related to Power BI, Fabric, SQL, Python, or analytics engineering.

Responsibilities

Lead requirements discovery sessions and translate business questions into technical designs, KPIs, semantic definitions, and reporting solutions.
Prototype with stakeholders, incorporate feedback, and manage work from definition through production support.
Explain technical concepts and analytical findings clearly to business users, technical partners, and senior leaders.
Provide user guidance, release notes, training, and adoption support for delivered analytics products.
Manage priorities across multiple initiatives while communicating scope, risks, dependencies, milestones, and delivery status.
Design and maintain governed Fabric and/or Snowflake semantic models that provide consistent definitions, reusable measures, and scalable self-service analytics.
Build semantic models from analytics ready star schemas, 3NF, and other big data formats.
Choose and implement appropriate connectivity patterns, including Import, DirectQuery, and Direct Lake.
Document model logic, calculations, lineage, data definitions, assumptions, refresh schedules, and ownership.
Design, build, test, deploy, and support enterprise data agents using Snowflake and Microsoft Fabric stacks, integrating governed data, semantic models, business logic, and AI services into trusted analytical experiences.
Translate business questions and decision workflows into agent instructions, tool definitions, retrieval patterns, response contracts, and reusable orchestration components.
Engineer toward deterministic, repeatable accuracy by grounding responses in governed enterprise data, constraining outputs, validating calculations, and requiring traceable evidence for material answers.
Develop evaluation frameworks using curated test questions, reference answers, regression suites, and approaches such as "LLM as Judge" to measure factual correctness, relevance, consistency, and adherence to business rules.
Implement confidence thresholds, exception handling, monitoring, auditability, and human-review paths so data-agent results can be safely used in business decision-making.
Design, develop, test, deploy, and maintain enterprise Power BI reports, dashboards, apps, and scorecards.
Build intuitive analytics experiences that use effective visual design, navigation, drill-through, tooltips, bookmarks, and accessibility practices.
Develop advanced DAX measures, calculation groups, field parameters, and reusable reporting patterns.
Optimize report performance using appropriate data modeling, aggregation, query reduction, and visual design techniques.
Implement and support row-level security, object-level security, workspace permissions, and controlled distribution patterns.
Develop Fabric deployment pipelines.
Monitor refreshes, pipelines, capacity usage, model performance, and failures; troubleshoot issues and implement sustainable fixes.
Promote solutions across development, test, and production environments using source control, deployment pipelines, and release-management practices.
Apply development standards for naming, documentation, security, testing, certification, endorsement, and lifecycle management.
Validate data accuracy and reconcile reported results to trusted sources before release.
Partner with governance teams on business glossary, metadata, lineage, ownership, data quality, privacy, retention, and access controls.
Perform peer reviews and contribute reusable templates, accelerators, coding standards, and best practices.
Mentor BI developers and analysts and help expand modern BI engineering capabilities across the team.