Sr Business Analytics Developer (QLIK)

We are hiring now for a Sr. Business Analytics Developer!

SMTC Corporation was founded in 1985. SMTC is a mid-size provider of end-to-end electronics manufacturing services (EMS) including PCBA production, systems integration and comprehensive testing services, enclosure fabrication, as well as product design, sustaining engineering and supply chain management services. SMTC has facilities in the United States, Mexico, China and Canada. Services extend over the entire electronic product life cycle from the development and introduction of new products through to the growth, maturity and end-of-life phases.

Benefits Highlights:

*401K with company match

*PTO, Paid Holidays

*Tuition Reimbursement

*Medical HRA Plan

*Short term/Long term Disability Insurance, etc.

Summary:

The Sr Business Analytics Developer is responsible for developing the Company’s enterprise business intelligence, analytics, and data-delivery strategy. This position leads the development of scalable analytics platforms, reporting solutions, data models, governance practices, and decision-support capabilities that enable timely, consistent, and reliable business insights.

The Sr Business Analytics Developer partners with executive leadership, Information Technology, Finance, Operations, Supply Chain, Quality, Sales, Human Resources, and other functions to establish enterprise metrics and translate business needs into actionable analytics solutions. This position leads business analytics personnel and resources, establishes development and governance standards, manages the analytics portfolio, and promotes effective use of data throughout the organization.

Essential Functions:

• Lead the design, development, implementation, and support of enterprise dashboards, reports, analytics products, and decision-support solutions.
• Establish governance for enterprise metrics, key performance indicators, business definitions, semantic models, report certification, and analytics ownership.
• Partner with business and executive leaders to identify analytics needs and translate them into prioritized, scalable, and sustainable solutions.
• Lead analytics architecture and platform recommendations in partnership with data architecture, application, infrastructure, cybersecurity, and other IT resources.
• Establish standards for analytics development, data visualization, testing, documentation, security, deployment, maintenance, and life-cycle management.
• Ensure analytics solutions use accurate, complete, consistent, timely, and appropriately governed data.
• Manage the analytics project portfolio, including intake, prioritization, resource allocation, schedules, dependencies, risks, and delivery commitments.
• Establish performance measures for analytics adoption, service delivery, data quality, report usage, user satisfaction, and business value.
• Lead the development of self-service analytics capabilities while maintaining appropriate controls, security, governance, and technical support.
• Evaluate emerging analytics, artificial intelligence, machine learning, automation, cloud, and data-visualization technologies and recommend appropriate investments.
• Develop analytics talent and organizational capability through workforce planning, coaching, training, performance management, succession planning, and knowledge sharing.
• Establish and maintain process standards, procedures, controls, performance metrics, and governance requirements for the assigned area.
• Lead cross-functional coordination to clarify responsibilities, align priorities, resolve issues, and ensure consistent process execution across teams or locations.
• Monitor process performance, compliance, risk, and data integrity; identify gaps and drive corrective actions and continuous improvement initiatives.
• Serve as the subject-matter resource for the assigned area, providing guidance, training, and recommendations while influencing stakeholders without direct supervisory authority.

Competencies:

• Analytics Strategy: Develops an enterprise analytics strategy that supports organizational objectives, operational performance, and informed decision-making.
• Business Intelligence Leadership: Leads the development and support of dashboards, reporting platforms, analytics products, and self-service capabilities.
• Data Governance: Establishes accountability for metrics, definitions, ownership, quality, access, certification, lineage, and appropriate data use.
• Analytics Architecture: Understands data warehouses, data models, semantic layers, integration patterns, cloud platforms, and reporting technologies.
• Data Visualization: Ensures dashboards and reports communicate complex information clearly, accurately, and effectively.
• Business Process Knowledge: Understands how finance, manufacturing, supply chain, quality, sales, human resources, and other functions use data.
• Portfolio Management: Prioritizes analytics requests and investments based on business value, strategic alignment, risk, effort, and resource availability.
• Data Quality Management: Establishes processes and accountability for identifying, measuring, resolving, and preventing data-quality issues.
• Technology Evaluation: Assesses analytics, artificial intelligence, automation, cloud, and data-platform technologies for business value and technical fit.
• Cybersecurity and Data Protection: Integrates access controls, confidentiality, privacy, export-control, retention, and security requirements into analytics solutions.
• Strategic Decision-Making: Uses quantitative and qualitative information to evaluate alternatives and make sound recommendations.
• Executive Communication: Presents complex data, risks, insights, and recommendations clearly to executive and nontechnical audiences.
• Cross-Functional Influence: Builds alignment among business functions, technical teams, site leadership, and external partners.
• People Leadership: Develops employee capability through clear expectations, coaching, feedback, performance management, and succession planning.
• Change Leadership: Promotes analytics adoption and helps the organization transition toward consistent, data-driven decision-making.

Qualifications:

• Education: Bachelor’s degree in information systems, computer science, data analytics, data science, business analytics, mathematics, statistics, engineering, or a related field required. An equivalent combination of education, technical training, certifications, and relevant professional experience may be considered in lieu of the degree requirement. Master’s degree in business analytics, information systems, data science, business administration, or a related field preferred.
• Certifications:
  • Lean Manufacturing Certification beneficial
  • Six Sigma Green Belt or higher beneficial
  • IPC certifications beneficial
• Experience:
  • Eight (8) or more years of progressive experience in business intelligence, data analytics, data engineering, reporting, or a related discipline required.
  • Experience developing and executing an enterprise analytics or business intelligence roadmap.
  • Experience with business intelligence and visualization platforms such as Qlik, or comparable technologies required.
  • Advanced experience with SQL, data modeling, data warehouses, data lakes, semantic models, ETL or ELT processes, and enterprise reporting required.
  • Experience with modern programming languages and frameworks such as C#, .NET, Java, JavaScript, TypeScript, Python, or comparable technologies required.
  • Experience developing APIs, EDI connections, microservices, database solutions, and enterprise-system integrations required.
  • Experience with SQL Server, Oracle, or other enterprise database platforms preferred.
  • Experience establishing data governance, metric definitions, report-development standards, and analytics intake and prioritization practices required.
  • Experience with data subject areas from: ERP, MRP, MES, PLM, finance, HR, supply chain, quality, or other enterprise systems strongly preferred.
  • Experience leading analytics within a multi-site manufacturing or other operationally complex organization preferred.
  • Familiarity with artificial intelligence, machine learning, predictive analytics, and process automation preferred.
  • Familiarity with ITAR, CMMC, cybersecurity, privacy, and regulated-data requirements preferred.

Physical Requirements:

• Ability to sit for extended periods while performing computer-based work.
• Ability to use a computer, keyboard, mouse, telephone, and other office equipment for prolonged periods.
• Ability to communicate effectively in person, by telephone, and through electronic communication methods.
• Ability to occasionally stand, walk, bend, reach, and lift office materials up to 25 pounds.
• Ability to visually review documents, reports, spreadsheets, and computer displays with or without corrective lenses.
• Ability to move throughout office and production areas as business needs require.

Mental Requirements:

• The employee is required to exercise sound judgment, analytical thinking, and problem-solving skills in a professional business environment.
• The role requires the ability to prioritize multiple responsibilities, manage competing deadlines, interpret and analyze information, and make decisions consistent with organizational objectives.
• Employees must effectively communicate with internal and external stakeholders, maintain confidentiality where appropriate, and adapt to changing business needs.
• The position requires sustained concentration, attention to detail, and the ability to work independently while maintaining productivity and accuracy.

Work Environment:

• Work is performed in a professional, climate-controlled office setting with exposure to standard office noise levels and lighting. The role routinely uses typical office equipment, including computers, phones, printers, and related peripherals. Duties may involve extended periods of sitting, sustained computer work, and regular interaction with internal staff. Employees may occasionally access production areas, which may expose them to elevated noise levels, temperature variations, or manufacturing activity. All employees are expected to comply with workplace policies, safety protocols, and organizational procedures.

Travel: 0-10% of the time based on business needs.

Please note this job description is not designed to cover or contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

SMTC is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, disability, veteran status, genetic information or other protected status.

If you require assistance completing this application due to a disability, please contact Human Resources to ask for an accommodation or an alternative application process.