Data Visualization Analyst

About Appspace:

At Appspace, we’re passionate about creating better work experiences for people everywhere, and we’re looking for people that feel the same way. Our global office locations and flexible work culture help you work wherever and however you’re at your best. Plus, we take the time to help you enjoy your work, build lasting connections, and grow your role. Join the Appspace team and be a part of a culture that’s helping people everywhere love where they work.

Your Role as a Data Visualization Analyst:

As a Data Visualization Analyst, you won't just build charts—you will design the "command center" for our business. You will bridge the gap between complex SQL databases and executive decision-making, transforming BigQuery data into high-performance Tableau dashboards that tell a clear, actionable story.

The successful candidate will possess a strong understanding of data analysis principles, expert-level visualization skills in Tableau, and a deep knowledge of SQL and Excel. This is a cross-functional role; you will work closely with business stakeholders, data architects, and other analysts to understand reporting needs, design effective visual solutions, and contribute to a data-driven culture. The ideal candidate thrives in a fast-paced environment, manages multiple projects simultaneously, and adapts quickly to changing priorities. 

A Day in the Life of a Data Visualization Analyst:

• Dashboard and Report Creation: Design intuitive, interactive, and impactful Tableau dashboards that provide stakeholders with actionable insights and track key performance indicators (KPIs). 
• Stakeholder Collaboration: Partner with cross-departmental stakeholders to deeply understand business requirements and translate them into visual analytics solutions that inform strategic decisions.
• Maintenance and Enhancement: Update, improve, and troubleshoot existing Tableau dashboards based on user feedback and evolving business needs.
• Tableau Migration: Lead the strategic migration of legacy Google Sheets reporting into Tableau. Collaborate with the Data Analytics Architect to automate data pipelines and re-design static views into scalable analytical tools.
• Data Exploration: Analyze data from various sources to identify trends, patterns, and anomalies. Use SQL to explore BigQuery data and translate findings into meaningful visualizations. 
• Data Integrity: Ensure rigorous data validation and QA processes to guarantee accuracy and reliability. Perform data reconciliation between BigQuery and Tableau, utilizing Excel for advanced auditing.
• Performance Optimization: Work with the Data Analytics Architect to develop performant, scalable dashboards that optimize data volume and user experience.
• Tableau Administration: Manage users, permissions, and folder structures within Tableau Cloud. Responsible for enabling new features such as Tableau Pulse.
• Standards and Best Practices: Identify and implement process, data, and reporting improvements across the organization.
• Training and Support: Provide end-user training and ongoing support to help stakeholders interpret visualizations and drive informed decisions.

What You’ll Need:

• Education: Bachelor's degree in Business Analytics, Data Science, Computer Science, or a related field.
• Tableau Expertise: Minimum of 3 years of experience focusing on Tableau and proficiency in building complex, easy-to-interpret dashboards.
• Advanced Tableau Techniques: Experience with LOD expressions, Parameter/Set Actions, and bespoke visualizations (e.g., Sankey diagrams, Gauges, custom maps) if out of the box visualizations don’t meet the business needs.
• Data Modelling
  • Within Tableau using joins and relationships
  • Within SQL using joins
• Project Delivery: A proven track record of delivering end-to-end dashboard solutions, from requirements gathering to deployment.
• Technical Skills: Solid understanding of data warehousing, ETL processes, and database structures. Proficiency in writing SQL queries.
• Advanced Excel: Expert knowledge of VLOOKUP, XLOOKUP, Pivot Tables, and SUMIFS.
• Communication: Excellent written and verbal skills, with the ability to explain technical concepts to non-technical audiences.
• Portfolio: Ability to present a portfolio of previous Tableau work during the interview.

Bonus Points If You Have:

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