Data Visualization Developer 2

We are looking for a Tableau Developer to join our Digital Factory team and help transform business and financial data into meaningful, actionable insights.

In this role, you will design, develop, test, deploy, and maintain Tableau dashboards and analytical solutions that enable faster, data-driven decision-making. You will work closely with Product Owners, Finance, Operations, Supply Chain, Data Analysts, Data Engineers, and other stakeholders to translate business requirements into intuitive, accurate, secure, and scalable data visualizations.

This opportunity is ideal for an experienced analytics professional with at least 2–3 years of relevant experience and hands-on knowledge of Tableau, data visualization, and SQL. You will also have opportunities to deepen your expertise in advanced Tableau development, data modeling, analytics, automation, and business finance reporting.

What You’ll Do

1. Tableau Dashboard Development

• Design, build, and enhance interactive Tableau dashboards, reports, and visualizations based on business requirements and user needs.
• Translate business questions, KPIs, wireframes, and reporting requirements into clear and actionable analytical solutions.
• Use Tableau capabilities including calculated fields, filters, parameters, sets, table calculations, dashboard actions, and Level of Detail (LOD) expressions.
• Create engaging and user-friendly dashboards using effective data visualization and storytelling principles.
• Develop dashboards that provide a consistent and effective experience across desktop and browser environments.
• Apply reusable templates, governed data sources, naming conventions, and development standards to create scalable and maintainable solutions.

2. Data Preparation & SQL

• Connect Tableau to multiple approved data sources, including relational databases, enterprise applications, CSV files, and published data sources.
• Develop and maintain SQL queries, joins, filters, aggregations, and data transformations to support reporting and analytics requirements.
• Validate source data and reconcile dashboard outputs against defined business rules and reference reports.
• Partner with Data Analysts and Data Engineers to investigate and resolve data-quality, refresh, and integration issues.
• Document data sources, calculations, business logic, assumptions, and known limitations.

3. Testing, Quality & Performance

• Perform unit testing, data validation, reconciliation, regression testing, and defect resolution prior to deployment.
• Support user acceptance testing by preparing test scenarios, capturing feedback, and resolving identified issues.
• Optimize Tableau dashboards for performance, usability, and scalability, including extracts, calculations, filters, queries, and visual rendering.
• Troubleshoot dashboard performance and data issues and collaborate with relevant technical teams to resolve complex problems.
• Participate in peer reviews and continuously improve solutions based on feedback and best practices.

4. Data Governance & Security

• Follow established standards for Tableau development, testing, documentation, deployment, access, and ongoing support.
• Apply appropriate user permissions, data-access controls, and row-level security.
• Use governed and reusable data sources to promote consistency and reduce duplicate or conflicting reporting.
• Maintain technical documentation, release notes, solution ownership information, and relevant inventories.
• Support the ongoing maintenance and lifecycle management of Tableau content.

5. Business Partnership & User Support

• Partner with Product Owners and stakeholders across Finance, Operations, Supply Chain, and other business functions to understand reporting and analytics requirements.
• Participate in requirements-gathering sessions and translate business questions into clear KPIs, definitions, reporting requirements, and acceptance criteria.
• Present completed dashboards and explain functionality and insights to both technical and non-technical audiences.
• Provide user guidance, training materials, and knowledge-transfer support.
• Communicate project progress, risks, dependencies, and issues clearly and proactively.

6. Operations & Continuous Improvement

• Support production dashboards, data refreshes, access requests, and visualization-related issues.
• Perform initial troubleshooting for dashboard and data issues and collaborate with technical teams when additional support is required.
• Monitor dashboard usage, relevance, and user feedback to identify improvement opportunities.
• Identify practical opportunities to automate, simplify, or improve recurring and manual reporting processes.
• Participate in Agile activities such as sprint planning, backlog refinement, demonstrations, and retrospectives.
• Continuously strengthen your capabilities in Tableau, SQL, data analytics, visualization, automation, and business intelligence.

What We’re Looking For

• Bachelor’s degree in Information Technology, Computer Science, Data Analytics, Engineering, Finance, Business, or a related field, or equivalent practical experience.
• At least 2–3 years of relevant professional experience in data analytics, business intelligence, reporting, dashboard development, or a related field.
• Hands-on professional experience developing Tableau dashboards and reports, including calculated fields, filters, parameters, dashboard actions, and interactive visualizations.
• Basic to intermediate knowledge of SQL, including queries, joins, filtering, grouping, and aggregation.
• Working knowledge of Excel, data preparation, and data validation concepts.
• Good understanding of data visualization principles and the ability to translate business requirements into clear, user-friendly analytical solutions.
• Experience with data validation, testing, troubleshooting, and technical documentation.
• Understanding of data accuracy, security, governance, and access-control principles.
• Strong analytical and problem-solving skills with close attention to accuracy and detail.
• Effective communication skills and the ability to collaborate with both technical teams and business stakeholders.

Nice to Have

• Experience working with financial, commercial, operational, or supply chain data.
• Experience with more advanced Tableau capabilities such as LOD expressions, data modeling, dashboard performance optimization, and row-level security.
• Exposure to Python, Power BI, Power Automate, APIs, or other analytics and automation technologies.
• Experience working with enterprise databases and large or complex datasets.
• Experience working in an Agile or product-based development environment.

Who Will Be Successful in This Role?

• Analytical Thinking: You can understand business questions, examine data critically, and translate requirements into meaningful visual solutions.
• Problem Solving: You investigate issues systematically, evaluate possible solutions, and know when to collaborate with others to solve more complex challenges.
• Learning Agility: You are motivated to continuously strengthen your Tableau, SQL, analytics, finance, and technology capabilities.
• Attention to Detail: You care about the accuracy and consistency of calculations, data, labels, filters, formatting, and overall dashboard experience.
• Collaboration: You work effectively with developers, analysts, Product Owners, and business stakeholders.
• Communication: You can explain progress, technical issues, dashboard functionality, and insights clearly to different audiences.
• Ownership: You take accountability for your deliverables, maintain appropriate documentation, and proactively raise risks or dependencies.
• Continuous Improvement: You look for practical ways to simplify reporting, automate repetitive work, and improve the overall user experience.

Your Development in the Role

As you grow in the position, you will have opportunities to:

• Take increasing ownership of small to medium-complexity Tableau and analytics solutions.
• Expand your expertise in Tableau calculations, LOD expressions, data modeling, SQL, and dashboard performance optimization.
• Strengthen your understanding of business and finance reporting and how analytics supports business decision-making.
• Build exposure to adjacent analytics and automation technologies such as Power BI, Python, Power Automate, and APIs.
• Contribute to improving visualization, data governance, testing, documentation, and development practices.
• Share knowledge and best practices with other members of the analytics community.