Sr Data Analyst

JOB TITLE: Sr Data Analyst

DEPARTMENT: R&D

REPORTS TO: VP, Software Engineering

NUMBER OF DIRECT REPORTS: ☒ None ☐ 1-3 ☐ 4-6 ☐ 7 or more

Position Summary

The Sr Data Analyst is responsible for collecting, analyzing, and interpreting key performance indicators (KPIs) relevant to engineering processes within our R&D department.

Essential Duties And Responsibilities

The essential functions include, but are not limited to the following:

• Data Collection: Gather and compile data from various sources including internal databases, software systems, and external sources relevant to engineering processes within R&D.
• KPI Development: Work closely with engineering teams to define and develop key performance indicators (KPIs) that accurately measure the efficiency, productivity, and quality of R&D activities.
• Decision enablement: Make improvement recommendations to SLT and Executives; enable data-driven decision monitoring and decision-making across the entire R&D org., etc.
• Data Analysis: Utilize statistical techniques and data visualization tools to analyze and interpret engineering KPIs. Identify trends, patterns, and anomalies in the data to provide insights and recommendations for process improvements.
• Performance Monitoring: Continuously monitor and track engineering KPIs to assess performance against established benchmarks and targets. Identify areas of concern or opportunities for optimization.
• Reporting: Prepare and present regular reports and dashboards summarizing the findings from KPI analysis to stakeholders within the R&D department and across the organization.
• Collaboration: Collaborate with cross-functional teams including engineers, project managers, and data scientists to integrate KPI analysis into decision-making processes and strategic planning initiatives.
• Data Quality Assurance: Ensure the accuracy, completeness, and reliability of data used for KPI analysis through data validation, cleaning, and reconciliation processes.
• Process Improvement: Identify opportunities to streamline data collection processes, enhance data quality, and improve the effectiveness of KPI measurement methodologies within R&D.
• Operational Excellence: Through continuous performance monitoring and KPI-driven analysis, the role ensures optimization of processes, improved productivity, and quality enhancements in engineering and R&D activities.
• AI Application: Leverage AI/ML techniques to enable self-serve analytics, making analytics as simple as using a search engine. Utilize predictive modelling and anomaly detection to identify early indicators of risks, project delays, or quality regressions.
  
  

Minimum Qualifications (knowledge, Skills, And Abilities)

• Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, or related field. Master's degree preferred.
• 5+ years of experience in data analytics, business intelligence, or performance reporting— preferably in a research or engineering environment.
• Experience with data visualization tools such as Tableau, Power BI, or Looker.
• Proficiency in programming languages such as Python, R, SQL, or similar for data manipulation and analysis.
• Strong analytical skills with proficiency in statistical analysis, data modelling, and data visualization techniques.
• Ability to define, monitor and refine KPIs in complex technical environment.
• Excellent communication skills with the ability to present complex technical information in a clear and concise manner.
• Strong attention to detail and ability to work independently as well as part of a collaborative team.
• Familiarity with engineering principles, R&D processes, and KPI measurement methodologies is desirable.
• Exposure to AI applications in Business Intelligence (BI) or an interest in learning AI tools to enable self-service analytics and predictive analytics.
  
  

WORK ENVIRONMENT

At Trintech, we offer a flexible work environment that includes both remote and corporate settings. Our inclusive and collaborative culture, supported by advanced technology, ensures seamless communication and productivity. This position will be a hybrid position working both from the corporate office and from your home office.

NOTE

This job description in no way states or implies that these are the only duties to be performed by the employee(s) of this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities.

To perform this job successfully, the employee(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who

pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at-will relationship.

The company is an equal opportunity employer, drug-free workplace, and complies with ADA regulations as applicable.