Data Visualization Analyst

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:

• SaaS industry experience.
• Experience optimizing Tableau performance for large BigQuery datasets (minimizing Custom SQL, managing extracts vs. live connections).
• Experience with Salesforce objects (Opportunities/ARR forecasting, Leads, Support Cases).
• Experience with product events data.
• Tableau certifications.
• Experience with Tableau Pulse and AI tools like Gemini.
• Familiarity with Power BI or Looker.

What we are not looking for:

• Pure Data Engineers or Machine Learning/Python/R specialists.
• Candidates with fewer than 3 years of dedicated Tableau experience.

The Perks of Working for Appspace:

For all our US based team members, we offer a variety of benefits from competitive salaries, medical, dental and vision coverage, disability coverage, employer paid life insurance, mental health resources, 401(k) plan and a fully paid parental leave program.

Additional perks include:

• Generous PTO
• Flexible work schedules
• Remote work opportunities
• Paid company holidays
• Appspace Quiet Fridays (No non-essential internal meetings scheduled)
• A casual dress work environment

Disclaimer:

Appspace Inc. is an equal opportunity employer. All aspects of employment, including recruiting, hiring, placement, promotion, termination, compensation, and training are decided based on qualifications, merit, and business needs. We do not discriminate on the basis of race, color, religion or belief, marital status, sex, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy (including childbirth, lactation, or related medical conditions), gender, gender identity and/or expression, genetic information, sexual orientation, family or parental status, veteran status, or any other status protected under federal, state, or local laws. Appspace is committed to creating a diverse and inclusive workplace and does not tolerate discrimination or harassment of any kind.