Traditionally, storytelling and data aren’t thought to go hand in hand, but our new business intelligence visualization engineer will be a champion of both.   

In this role, you’ll shape how SAIF tells our story through data. You will help define our approach to data visualization, user experience, and analytics. You will transform complex data into meaningful and valuable narratives and create visualization standards and best practices. You will influence how SAIF’s leaders consume information and help them make informed business decisions.  

In simpler terms, you will help shape the future of analytics at SAIF. 

To succeed in this role, you’ll need six or more years of experience in UI/UX design, business intelligence development, data visualization, and analytics. We also prefer experience designing intuitive dashboards, applying data storytelling and UI/UX principles, and optimizing Tableau performance. 

This job is about a lot more than building dashboards. Apply today if you are the person who will help SAIF tell its story through data and analytics. 

Responsibilities:

• Design, develop, and maintain intuitive, interactive Tableau dashboards that apply visualization best practices, user experience principles, and data storytelling techniques to deliver clear, actionable insights.

• Create visually appealing and accessible reports by applying best practices in layout, color theory, visual hierarchy, and design consistency.

• Leverage advanced Tableau features, build reusable dashboard templates and standardized design components

• Conduct user feedback sessions and continuously improve dashboard design

• Optimize dashboard performance by improving query efficiency, designing effective data sources and resolving performance bottlenecks.

• Write and optimize queries using SQL

• Partner with Data and Analytics Engineers, Data Modelers, and Analytics Solution Engineers to design, implement, and optimize certified semantic data models that support reliable and reusable analytics solutions.

• Validate data accuracy and ensure reporting consistency through the use of certified data sources, business metrics, and governed semantic definitions.

• Integration of various Data Sources through native and custom BI connectors.

• Manage Tableau content throughout its lifecycle by following BI governance standards and overseeing publication, organization and maintenance withing Tableau server/cloud.

• Establish and maintain secure access controls and data security practices, including role-based and row-level security, to protect enterprise analytics assets

• Partner with business stakeholders to gather requirements and iterate on designs

• Provide training and guidance to users on dashboard usage and best practices

• Apply data visualization, storytelling, UX/UI, and Tableau performance-tuning practices to create dashboards that are intuitive, accessible, scalable, and effective for both technical and non-technical users.

• On-call support may be required on an as needed basis or part of a rotating schedule, including availability outside of business hours to support urgent IT issues or system implementations.

• Explore diverse perspectives and consistently behave sensitively toward differences in cultural norms, expectations, and ways of communicating. Work effectively with others who have different perspectives, backgrounds, and/or work styles.

ADDITIONAL FUNCTIONS:

• Perform other duties as assigned by management to support team objectives and organizational goals, demonstrating flexibility and adaptability in responding to evolving priorities and needs.

RECOMMENDED QUALIFICATIONS:

• Six or more years of experience in UI/UX design, business intelligence development, data visualization, and analytics solution delivery. 

• Experience designing intuitive dashboards, applying data storytelling and UX/UI principles, optimizing Tableau performance, influencing business decisions through data insights.

• Additional experience mentoring or providing technical guidance to analysts, developers, or project teams.

• Bachelor’s degree in data analytics, computer science, information systems, or a closely related field, or an equivalent combination of education and experience.

• Other combinations of skills and experience may be considered.

Next step

To receive consideration, please submit your resume with a cover letter by the close of this recruitment. We want your submission to count, so be sure it’s complete.

This recruitment will close on Tuesday, September 8, 2026.

If a sufficient number of qualified applications are received this recruitment may close early.