Business Intelligence Engineer

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🔥 8 minutes ago

🤠 Texas – Remote

🤠 Texas – Remote

💵 $90k - $109k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Business Intelligence Developer

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Vericast

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

📣 Marketing

💸 Finance

💳 Fintech

Marketing • Finance • Fintech

Vericast is a company focused on accelerating the performance of financial institutions. Through the use of data, artificial intelligence, and innovative strategies, Vericast helps banks and credit unions drive growth and enhance their marketing performance. The company provides a variety of solutions including digital marketing, direct mail, card solutions, check solutions, customer and employee insights, and customer change management. Vericast leverages responsibly sourced data to engage consumers effectively, which is why many financial institutions trust them for solving marketing challenges. Their expertise in the financial sector is aimed at delivering insights and growth solutions, positioning them as a leader in financial marketing services.

📋 Description

• Design, develop, administer, and continuously improve enterprise contact center analytics, business intelligence, and AI-enabled reporting solutions • Own the full analytics lifecycle, including data acquisition, integration, modeling, warehousing, reporting, dashboard development, trend analysis, forecasting, and insight generation • Collaborate with Contact Center Operations, Business Intelligence, IT, Application Development, and external vendors to transform data into actionable insights • Modernize reporting through automation, self-service analytics, semantic modeling, and AI technologies • Design and maintain SQL views, stored procedures, functions, database objects, data integrations, data warehouses, dimensional models, semantic models, and ETL/ELT pipelines • Develop and support Power BI datasets, dashboards, scorecards, executive reporting, self-service analytics, workspaces, gateways, security models, deployment pipelines, and reporting governance • Monitor data quality, reporting accuracy, platform reliability, and enterprise performance • Perform contact center trend analysis, anomaly detection, root-cause analysis, forecasting, and workforce planning support • Communicate findings and recommendations to operational leaders and executive stakeholders • Evaluate and implement AI-enabled analytics, conversational analytics, natural-language reporting, and workflow automation • Gather requirements, define analytics solutions, translate business objectives into data and reporting strategies, and support project planning, testing, UAT, and implementation • Maintain documentation and reporting standards and support audit and compliance activities

🎯 Requirements

• Bachelor’s 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 • 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 • Experience with SQL views, stored procedures, functions, query optimization, database performance tuning, and analytical data structures • Experience designing and maintaining dimensional models, star schemas, data warehouses, semantic models, curated reporting datasets, SSAS Multidimensional Cubes, and Tabular Models • Experience with ETL/ELT processes, data pipelines, REST API integrations, and structured, semi-structured, and JSON-based data • Experience integrating data from enterprise systems, cloud platforms, APIs, files, and third-party vendors • Experience building, administering, and supporting enterprise reporting solutions, dashboards, semantic models, and BI platforms • Experience gathering business requirements and translating them into scalable data, reporting, analytics, and self-service BI solutions • Experience with data validation, reconciliation, governance, and quality assurance • Experience with operational reporting, KPI development, forecasting, trend analysis, and business performance measurement • Experience with Power BI, SSRS, Microsoft Fabric, Tableau, or similar technologies • Experience with AI-assisted analytics, Microsoft Copilot, generative AI, and semantic models for natural-language analytics • Experience with Python, JavaScript, PowerShell, or similar programming and scripting languages • Experience with source control, DevOps, CI/CD, testing methodologies, and Agile development practices • Proficiency in SQL, DAX, MDX, SQL Server Analysis Services, database management, data warehousing, dimensional modeling, and semantic modeling • Experience with SQL Server, Snowflake, Azure SQL, or similar technologies • Experience with Azure, AWS, GCP, APIs, JSON, XML, and API payloads • Understanding of software development lifecycle, deployment management, and reporting governance • Ability to communicate complex technical information as clear, business-focused guidance • Ability to exercise independent judgment in data modeling, reporting, integrations, analytics processes, data quality, and technology recommendations

🏖️ Benefits

• Medical coverage • Dental coverage • Vision coverage • Generous PTO allowance • Life insurance • Employee assistance • Pet insurance • Workplace flexibility • Opportunities to grow and thrive • Equal opportunity employment • Disability accommodations during the selection process