Finance Data and Insights Team - Data Visualization Manager

About the position

Do you have passion to transform raw data into actionable insights and demonstrate a history of learning and implementing new technologies? As a Data Visualization Manager, within our Finance Data & Insights Team, you will be responsible for the development, production, and transformation of Financial data and reporting for the Auto product and creating data visualizations and intelligence solutions that will be utilized by the organizations leaders.

Responsibilities

• Lead intelligence solution requirements gathering sessions with varying levels of leadership, complete detailed project planning utilizing JIRA to record planned project execution steps
• Develop and enhance Alteryx workflows, collecting data from disparate data sources and summarizing the data as defined in requirements gathering with the stakeholders.
• Develop and enhance data visualization solutions utilizing Tableau and/or ThoughtSpot to provide intuitive insights and help with decision support to our key stakeholders.
• Conduct thorough validation of each component of the intelligence solution providing evidence that all data and visualization are providing accurate insights and evidence in the control process.
• Understand the stakeholder use cases empowering you to anticipate stakeholders' requirements, questions, and objections.
• Engage in testing and meetings for related server upgrades, data source changes, and other technology components that we source data from.
• Become a subject matter expert in these responsibilities and support team members in becoming more proficient themselves.

Requirements

• Bachelor's degree in MIS or Computer Science, Mathematics, Engineering, Statistics or other quantitative or financial subject areas
• Minimum of 8 years' experience working with data analytics projects, preferably related to financial services domain
• Minimum 5 years' experience developing advanced data visualization and presentations preferably with Tableau
• Experience with business intelligence analytic and data wrangling tools such as Alteryx, Tableau Prep, or other data preparation tool.
• Experience with relational databases optimizing SQL to pull and summarize large datasets, report creation and analyses.
• Experience in reporting development and testing, and ability to interpret unstructured data and draw objective inferences given known limitations of the data.

Nice-to-haves

• Experience with SQL, Python, or other big-data query tools
• AWS, Databricks, Snowflake, or other Cloud Data Warehouse experience
• Experience with Tableau, ThoughtSpot or similar tools empowering stakeholders to better understand their data