Senior Software Engineer, Digital Analytics

Jobtailor; Minnesota; On-site; USD 110,000 - 170,000; Full time

Job summary

Jobtailor is seeking an experienced Analytics Engineer to lead digital analytics initiatives, including tag management and CX platforms. You will design and implement scalable analytics solutions, drive best practices for data collection, and collaborate with cross-functional teams.

You will guide architecture choices, ensure compliance with data privacy principles, and help advance automation and testing across mobile and web analytics efforts.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
• 5+ years of analytics or tag management engineering experience.
• 5+ years of JavaScript coding experience.
• 5+ years experience with SQL or similar technologies.
• 2+ years experience with mobile app analytics across iOS and Android, including AppsFlyer.
• 2+ years experience with test automation and automated validation frameworks.
• Working knowledge of data privacy principles and regulatory considerations.
• Strong understanding of software development processes, tools, and engineering best practices.
• Ability to communicate processes and results with engineers, product owner, scrum master, third party vendors and customers.

Responsibilities

• Establish and execute engineering objectives for digital analytics and tag management systems and CX platforms.
• Operate as a technical leader in designing, developing, implementing, and supporting scalable analytics solutions.
• Provide data collection strategy guidance aligned with business goals and standards.
• Collaborate with cross-functional teams to bring solutions to life.
• Provide technical direction on architecture, design patterns, and engineering standards.

Skills

Analytics engineering

JavaScript

SQL

Mobile analytics

Test automation

Data privacy

Communication

Education

Bachelor's degree in CS/Engineering

Tools

Tag Management Systems

CX Platforms

AppsFlyer

Automated Validation Frameworks

Digital Analytics

Job description

Responsibilities

• Establish and execute engineering objectives for digital analytics and tag management systems and CX platforms in alignment with business and technology strategies
• Operate as a technical leader in designing, developing, implementing, and supporting scalable and reliable analytics engineering solutions that meet defined marketing and digital needs
• Provide thought leadership in digital data collection, aligning strategies with business goals and enterprise technology standards
• Work closely with cross-functional teams to bring solutions to life
• Provide technical direction and guidance on architecture, design patterns, and engineering standards within the marketing and digital domains
• Ensure engineering work adheres to best practices for quality, security, performance, and maintainability
• Establish engineering best practices for mobile app analytics, data privacy, and testing automation
• Conduct code reviews to provide guidance on on engineering best practices and compliance with development procedures
• Accountable to ensure all aspects of product development follow compliance and security best practices
• Embraces emerging technology opportunities (such as automation, AI) and contributes to the best practices in support of the bank’s technology transformation
• Contributes to a culture of innovation, collaboration, and continuous improvement

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• 5+ years of relevant analytics or tag management engineering experience
• 5+ years of JavaScript coding experience
• 5+ years experience with SQL or similar technologies
• 2+ years of experience with mobile app analytics across iOS and Android platforms, including familiarity with mobile marketing platforms such as AppsFlyer
• 2+ years experience with test automation, including the ability to design and maintain automated validation frameworks
• Working knowledge of data privacy principles and regulatory considerations to support compliant data collection and usage
• Strong understanding of software development processes, tools, and engineering best practices
• Able to communicate processes and results with all parties involved in the product team, including engineers, product owner, scrum master, third party vendors and customers.

Core Competencies

Demonstrates expertise in analytics engineering, focusing on digital data collection, mobile app analytics, and compliance with data privacy principles. Proven ability to lead technical direction, establish best practices, and collaborate effectively with cross-functional teams.

Tools & Technologies

• Tag Management Systems
• CX Platforms
• Automated Validation Frameworks
• AppsFlyer
• Digital Analytics