Business Intelligence Engineer

Responsible for the design development administration and continuous improvement of enterprise contact center analytics business intelligence and AI-enabled reporting solutions.

This role owns the full analytics lifecycle including data acquisition integration modeling warehousing reporting dashboard development trend analysis forecasting and insight generation. The position works closely with Contact Center Operations Business Intelligence IT Application Development and external vendors to transform data from the contact center and business platforms into actionable insights that support operational performance customer experience workforce optimization financial reporting and strategic decision-making.

This role serves as a technical and analytical leader responsible for modernizing reporting capabilities through automation self-service analytics semantic modeling and emerging AI technologies including Microsoft Copilot Power BI AI capabilities Large Language Models (LLMs) and enterprise AI solutions.

KEY DUTIES & RESPONSIBILITIES

Data Engineering & Integration (25%)

• Design develop and maintain SQL views stored procedures functions and database objects.
• Build and support data integrations between various platforms APIs and enterprise data sources.
• Develop and maintain data warehouse structures dimensional models semantic models curated business datasets and analytical data assets including SSAS Multidimensional Cubes SSAS Tabular Models measures hierarchies aggregations partitions processing strategies and performance optimization.
• Design and support ETL/ELT pipelines for efficient movement and transformation of operational and reporting data.
• Monitor and maintain data quality integrity and consistency across reporting environments.
• Partner with IT and application teams to identify and implement new data sources.

Business Intelligence & Reporting Solutions (25%)

• Design develop administer and support enterprise business intelligence solutions including Power BI datasets semantic models dashboards scorecards executive reporting and self-service analytics capabilities.
• Develop reusable KPI frameworks reporting standards business rules calculations and governed semantic models that support consistent enterprise reporting.
• Administer Power BI workspaces gateways security models deployment pipelines source control testing release management and reporting governance processes.
• Develop monitoring validation reconciliation and alerting solutions to ensure data quality reporting accuracy platform reliability and enterprise performance standards.
• Maintain reporting documentation metadata data dictionaries and reporting lifecycle management processes.

Analytics Trend Analysis & Insights (20%)

• Perform trend analysis across contact center operational financial workforce and customer experience metrics.
• Analyze volumes service levels abandonment rates productivity occupancy callback utilization queue performance customer experience and operational efficiency metrics.
• Identify trends anomalies root causes and opportunities for process improvement.
• Develop forecasting models and support workforce planning activities.
• Communicate findings and recommendations to operational leaders and executive stakeholders.
• Design and monitor key performance indicators supporting business objectives.

AI-Enabled Analytics & Innovation (15%)

• Evaluate and implement AI-enabled analytics solutions to improve reporting automation insight generation anomaly detection and decision support.
• Design datasets and semantic models optimized for natural language querying and AI-powered analytics experiences.
• Utilize Microsoft Copilot Power BI AI capabilities Microsoft Fabric and approved enterprise AI platforms to enhance reporting and analytics workflows.
• Identify opportunities to automate manual analytics processes through generative AI and workflow automation.
• Develop AI-assisted reporting templates prompt libraries and reusable insight-generation frameworks.
• Support implementation of conversational analytics and natural-language reporting capabilities.
• Research emerging AI machine learning and analytics technologies and recommend practical business applications.

Business Partnership Consulting & Project Support (10%)

• Partner with business stakeholders to gather requirements and define analytics solutions.
• Translate business objectives into scalable reporting and data strategies.
• Present insights recommendations and reporting results to operational and executive leadership.
• Participate in project planning testing user acceptance testing and implementation activities.
• Serve as a subject matter expert for contact center analytics and reporting.

Governance & Documentation (5%)

• Maintain documentation for reports dashboards datasets KPIs integrations and data models.
• Establish and enforce reporting standards and best practices.
• Support audit and compliance activities related to reporting and data management.

Qualifications :

EDUCATION

• Bachelors degree in Computer Science Software Engineering Information Systems Data Science or related field required. Equivalent professional experience may be considered in lieu of a formal degree.

EXPERIENCE

• 3 years of experience in Business Intelligence Data Engineering Data Warehousing Analytics Engineering Software Development or related technical disciplines.
• 3 years of hands-on experience designing developing and supporting SQL Server databases including views stored procedures functions query optimization database performance tuning and analytical data structures.
• Experience designing developing and maintaining dimensional data models star schemas data warehouse structures semantic models curated reporting datasets and SQL Server Analysis Services (SSAS) Multidimensional Cubes and Tabular Models including measure development KPIs hierarchies aggregations partitions processing strategies and performance optimization.
• Experience developing and supporting ETL/ELT processes data pipelines REST API integrations and data transformation solutions utilizing structured semi-structured and JSON-based data sources.
• Experience integrating and transforming data from multiple enterprise systems cloud platforms APIs files and third-party vendor solutions.
• Experience building administering and supporting enterprise reporting solutions dashboards semantic models and business intelligence platforms.
• Experience gathering business requirements and translating them into scalable data reporting analytics and self-service BI solutions.
• Experience performing data validation reconciliation governance and quality assurance activities across multiple systems and data sources.
• Experience supporting operational reporting KPI development forecasting trend analysis and business performance measurement.
• Experience with enterprise business intelligence platforms including Power BI SSRS Microsoft Fabric Tableau or similar technologies.
• Experience with AI-assisted analytics Microsoft Copilot generative AI solutions and semantic models supporting AI-enabled reporting and natural language analytics.
• Experience utilizing Python JavaScript PowerShell or similar scripting/programming languages to automate data processing integrations and reporting workflows.
• Experience with source control DevOps processes CI/CD pipelines testing methodologies and Agile development practices.

KNOWLEDGE / SKILLS / ABILITIES

Technical Skills

• Proficiency in SQL development including views stored procedures functions query optimization database performance tuning and SQL Server Analysis Services (SSAS) development including Multidimensional Cubes Tabular Models DAX MDX semantic modeling cube processing and performance optimization.
• Proficiency in database management data warehousing dimensional modeling semantic modeling SSAS Cubes Tabular Models and curated dataset development using platforms such as SQL Server Snowflake Azure SQL or similar technologies.
• Experience designing developing and supporting ETL/ELT pipelines data integrations data movement processes and enterprise data architectures across multiple systems and platforms.
• Experience working with APIs cloud platforms (Azure AWS GCP) enterprise applications and structured and semi-structured data sources including JSON XML and API payloads with the ability to parse transform validate and integrate data into data warehouses semantic models and reporting solutions.
• Proficiency with Business Intelligence tools including Power BI Microsoft Fabric SSRS semantic models dashboards data visualization and self-service analytics best practices.
• Experience with programming and scripting languages such as SQL Python PowerShell JavaScript or similar technologies to support data engineering automation integrations and reporting solutions.
• Understanding of software development lifecycle practices source control testing methodologies CI/CD processes and deployment management.
• Experience leveraging AI-enabled technologies Microsoft Copilot Generative AI solutions Large Language Models (LLMs) and semantic models to enhance reporting analytics automation and self-service data experiences.

COMMUNICATIONS & CONTACTS

This role regularly communicates with Contact Center Operations Business Intelligence IT Application Development and external vendors to gather requirements resolve data and reporting issues and deliver actionable insights. The position presents analytical findings recommendations and reporting outcomes to operational leaders and executive stakeholders translating complex technical information into clear business-focused guidance.

DECISION MAKING

This role exercises independent judgment in designing data models reporting solutions integrations and analytics processes that support operational and strategic business decisions. The position evaluates data quality reporting risks automation opportunities and emerging technologies making recommendations that influence analytics standards platform improvements and leadership decision support.

Additional Information :

Salary range: $90000 - $109000 Annually 

Applications will be accepted through September 4 2026 after which the posting will be closed and no longer available for submissions.*

The ultimate compensation offered for the position will depend upon several factors such as skill level cost of living experience and responsibilities.

Vericast offers a generous total rewards benefits package that includes medical dental and vision coverage and a generous PTO allowance. A wide variety of additional benefits like life insurance employee assistance and pet insurance are also available not to mention smart and friendly coworkers!

WHAT WE BELIEVE

At Vericast we believe whats good for people is good for business. Everything we do starts from a place of purpose to drive meaningful impact for our clients our people and our communities.

Weve cultivated a culture of collaboration a heritage of innovation and a focus on workplace flexibility. Every day you will have the opportunity to bring your passion and expertise to create opportunities to grow and thrive.

Together lets advance performance for all.

At Vericast we dont just accept differences - we celebrate them we support them and we thrive on them for the benefit of our employees our clients and our  an Equal Opportunity Employer Vericast considers applicants for all positions without regard to race color creed religion national origin or ancestry sex sexual orientation gender identity age disability genetic information veteran status or any other classifications protected by law. Applicants who have disabilities may request that accommodations be made in order to complete the selection process by contacting our Talent Acquisition team at . EEO is the law. To review your rights under Equal Employment Opportunity please visit:  Work :

Yes

Employment Type :

Full-time