Job Description

Description

The Business Intelligence Data Engineer administers key business processes and programs that involve significant use of data manipulation and visualization tools. This key position supports Commerical Operations teams by building business intelligence, including ETL and visualizations, providing training, answering end-user questions, and providing in-depth and ad-hoc analysis. This role is also responsible for the administration of special business programs, including reconciliation of sales data to rebate and promotional programs. A successful candidate will demonstrate exceptional organizational skills, be detail-oriented, thrive in a collaborative, team environment, and be passionate about customer service for internal stakeholders and external customers.

Essential Functions

Data Analysis

• Interpret data, analyze results using statistical techniques and provide ongoing reports.
• Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality, ETL/ELT pipelines using SQL and Python in a Microsoft SQL environment.
• Administer SQL Server environments, security, and performance tuning.
• Acquire data from primary or secondary data sources and maintain databases/data systems.
• Identify, analyze, and interpret trends or patterns in complex data sets.
• Build and maintain end user reporting via PowerBI and other tools through staging, model optimization, and documentation.
• Filter and “clean” data, and review computer reports, printouts, and performance indicators to locate and correct code problems.
• Research and integrate tools or APIs that enable new automation capabilities.
• Work closely with management to prioritize business and information needs.
• Locate and define new process improvement opportunities.
• Communicate results and provide suggestions to end-users.

Systems Management

• Serve as the primary point of contact for business stakeholders around prioritization, coordination, and escalation of projects and enhancements for the CRM system.
• Own functional tasks and deliverables including process definitions and re-engineering, high and detailed-level requirements gathering, fit/gap analysis, functional design, testing, training, reporting, support, and continuous improvement of business applications within the CRM.
• Negotiate business requirements across multiple groups and manage user expectations.
• Translate technical information into a common business language to business stakeholders.

Data Governance & Collaboration

• Ensure adherence to group policies related to operational procedures, IT security, and data governance.
• Select and implement tools and platforms that conform to established database, visualization, and security standards.
• Support the group’s data harmonization initiatives by aligning on definitions, implementations, and calculations.
• Ensure consistency in visualization methods and data presentation to support unified analytics across teams.
• Collaborate closely with group functions, including Data Management & Methodology (DMM) and Digital Systems Infrastructure (DSI), to align efforts with global data strategies.

General/Administrative

• Supports the company vision and mission and demonstrates the corporate core values in all professional activities.
• Complies with all safety requirements, work rules, and regulations.
• Maintains departmental housekeeping standards.
• All other duties as requested by management.
• This is a hybrid role with 2-days onsite required per week.

Qualifications

Formal Education and Certification

• Bachelor’s degree in computer science, Information Systems, Data Engineering, or a related technical field.
• 5-7 years of experience as a data engineer or similar may be substituted for the educational requirement.

Knowledge and Experience

• Minimum of 5-7 years as a Business/Data Analyst, Data Engineer, or equivalent education.
• Advanced T-SQL coding skills.
• 3+ years of professional experience designing and maintaining ETL/ELT pipelines using SQL and Python.
• Proven expertise administering Microsoft SQL Server environments, including performance tuning and security management.
• Proficiency with PowerBI, or similar tools (e.g, Tableau), with a strong understanding of architecture, including staging, model optimization, and tabular modeling.
• Proficiency in building resilient pipelines with built-in logging, error handling, and monitoring.
• Familiarity with integrating external APIs and automation tools to enhance data workflows.
• Basic business analytics, including target setting, budget comparison, and data processing.
• Experience with automation such as Microsoft Fabric, PowerAutomate, or other tools highly desirable.

Vetoquinol USA is an equal opportunity employer. We are committed to providing a workplace that is free from discrimination of any kind and that promotes diversity, inclusion, and fairness. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status, and will not be discriminated against on the basis of disability. Join us and be a part of a great place to work!

Job Tags

Similar Jobs