Job Description

About the team

Zillow Group’s Strategic Analytics & Data Science team provides a metrics-driven lens on our strategy and uncovers the insights that move it forward. We partner across Zillow’s lines of business—accelerating proofs of concept, defining cross-LOB “north-star” metrics, and tackling high-ambiguity, high-impact analyses. We’re innovators, data storytellers, and AI accelerators who thrive on independent thinking and driving measurable business outcomes.

About the role

We’re looking for a Sr. Data Visualization Engineer to join our team. You’ll own the and build key dashboards, metrics, and visual frameworks for our team - including the company source of truth metrics used for company-wide business review meetings. You will also own the future vision and evolution of the company strategy reporting website, used to share metrics and disseminate key information across the company. This role will include building data pipelines fed by cross-functional data sources from across the company, ensuring high-visibility metrics stay accurate and up to date, and harnessing AI/ML tools to push our visualizations and self-service reporting to the next level. In addition, you will put your data skills to work by performing analysis to help uncover business insights, to inform Zillow’s strategy and long-term roadmap. 

What You’ll Do

Own and evolve the company reporting strategy internal site (currently Google App Script-based) using scripting or AI tools to design and implement solutions.

Build, maintain, and optimize multiple high-visibility dashboards and data visualizations that inform executive and cross-functional decision-making.

Build and maintain data pipelines following best practices for Databricks (e.g. dbt, version control), enforcing quality and consistency in metrics and dashboards.

Analyze company-wide datasets to answer business questions, identify trends, and surface actionable insights to stakeholders.

Tell stories with data - communicate complex analyses and insights to cross-functional stakeholders, including Zillow’s most senior leaders.

Translate complex data questions into clear visual stories that drive strategic decisions.

Create scale-able self-service analytical frameworks to be used by product, operations, marketing, and executive partners in analyzing both the current state of the business and a suite of forward-looking options.

Scope, estimate, and execute strategic analyses (e.g., cross-business and cross-functional projects ranging from broad company-wide analyses to deep-dives to support individual business initiatives).
 

This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $139,400.00 - $222,600.00 annually. This base pay range is specific to these locations and may not be applicable to other locations. In Colorado, Hawaii, Illinois, Minnesota, Nevada, Ohio, Rhode Island, and Vermont the standard base pay range for this role is $132,400.00 - $211,600.00 annually. The base pay range is specific to these locations and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location. Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside.

Who you are

Required

 You are a data generalist who is able to solve business problems using data, from building dashboards to leading analytical workstreams.

6+ years experience in data visualization, business intelligence, or analytics engineering, or closely related roles

Expert SQL skills (query creation, editing, optimizing) for data transformation in a large-scale data environment

Python proficiency for data transformation and visualization (i.e. pandas, pyspark, plotly)

Experience using front-end scripting languages OR AI-supported front-end tooling to deliver automation and reporting portal websites.

Familiarity with ETL/orchestration tools (dbt, Airflow) and version control best practices

Hands-on experience with big-data environments (Databricks, Spark, Redshift/Snowflake)

Deep knowledge of BI tools (Tableau, Looker) and data visualization libraries (plotly, node.js)

Demonstrated ability to own and troubleshoot high visibility dashboards at scale

Excellent communication and storytelling skills - able to translate complex data insights into clear, actionable business narratives for technical and non-technical audiences

Strong business analytics skills - A data analysis expert comfortable with large datasets and advanced analytical techniques and able to own analytics projects end to end with proven success

A creative problem-solver who tackles ambiguous business challenges with a data-driven approach

A collaborative working style with a strong focus on execution and results

Bachelor's or Master’s degree Computer Science, Mathematics, Economics, Business Analytics, Finance, or related quantitative field 

Preferred

Prior use of AI/ML tools to accelerate analytics workflows

Prior experience designing and delivering interactive reporting using front-end languages and website hosting.

Background in building custom visualization components or analytics UIs.

Prior experience in real-estate analytics a plus

Bachelor’s or Master’s in a quantitative field (Computer Science, Engineering, Stats, etc.)