Data Visualization Engineer

Sr. Data Visualization Engineer

As a Data Visualization Business Systems Analyst, you will bridge business analysis and data visualization platform development, translating business requirements into actionable insights and interactive dashboards. Operating within a DevOps and Agile environment, you will create user stories, design test cases, build data models, and develop proof-of-concept solutions for scalable, high-quality analytics. You will collaborate with product teams, developers, and stakeholders to ensure efficient processes and impactful deliverables.

Key Responsibilities

• Collaborate with Product Teams, System Architects, and Business Owners to understand business strategy, needs, and pain points.
• Capture the voice of the customer to define business processes and product needs, focusing on data visualization requirements.
• Convert Epics into Features and granular User Stories with clear Acceptance Criteria and Definition of Done.
• Translate user stories into functional data visualization model designs, ensuring alignment with best practices and architectural standards.
• Develop and maintain data visualization modules, dashboards, and integrations using platforms such as Tableau, Power BI.
• Create and validate proof-of-concepts (POCs) to test assumptions, validate solutions, or propose new features.
• Maintain up-to-date documentation of model architecture, business logic, data integrations, and process configurations.
• Produce end-user guides, functional specs, and technical documentation to support user enablement and change management.
• Conduct impactful demos of visualization features internally to Product Teams and stakeholders.
• Identify opportunities to improve existing models, dashboards, and processes.
• Stay current with platform releases, features, and community best practices; proactively recommend enhancements
• Support the scaling of visualization solutions across business units through templated solutions and reusable components.
• Perform manual and automated testing of software applications, including functional, regression, and performance testing.
• Document and report defects and issues identified during testing, and work with development teams to resolve them.
• Validate that test scenarios meet feature acceptance criteria and customer expectations.
• Work closely with UX to align technical requirements, scenarios, and business process maps with user experience designs.
• Ensure non-functional requirements are included and prioritized in the product and release backlogs

Qualifications

• Doctorate, Master's with years OR Bachelor's degree with years experience in Information Systems, Computer Science, Engineering, or related field.
• 6+ years of experience with planning or analytics software systems (e.g., Tableau, Power BI, Anaplan, Hyperion, Salesforce, Jira, JiraAlign)
• Programming experience in at least one modern language (e.g., Python, JavaScript, R) for scripting, data transformation, or integration.
• Experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA.
• Understanding of software systems development cycles and data visualization best practices and UX best practices and standards.
• Experience in managing product features for PI planning and developing product roadmaps and user journeys.
• Familiarity with low-code/no-code test automation software (preferred).
• Professional certifications in relevant platforms (e.g., Tableau, Power BI, Anaplan Certified Solution Architect) are preferred.

Soft Skills

• Able to work under minimal supervision.
• Excellent analytical and gap/fit assessment skills.
• Strong verbal and written communication skills.
• Ability to work effectively with global, virtual teams.
• High degree of initiative and self-motivation
• Ability to manage multiple priorities successfully
• Team-oriented, with a focus on achieving team goals.
• Strong presentation and public speaking skills.