(USA) Senior Manager, Data Analytics

Position Summary...

What you'll do...

As a Sr. Manager, Data Analytics, you'll be part of a collaborative team that's dedicated to empowering the Real Estate operators and leadership with actionable insights, reporting, and automation. You'll be responsible for creating and maintaining backend data pipelines, frontend interactive reports, and business logic automation for business-critical decision support. We're looking for someone who has experience with SQL, Python, R, Looker, Dataiku, Tableau, Tableau (Prep), Power BI, Google Big Query on cloud service and local server environments. This is an exciting opportunity to work on projects that have a real impact on the success of the organization and to collaborate with others who share your passion for data analysis. Join our team and help us unleash the power of data to drive business success.

About Team: Real Estate
Real Estate Data Analytics

What you'll do:

• Identify and evaluate potential data sources from internal and external sources. Implement processes for acquiring and integrating data from various sources.  Ensure that the data is accurate, complete, and accessible.
• Work closely with stakeholders to understand business goals and requirements. Translate business requirements into data requirements. Develop an understanding of the industry and competitive landscape.
• Formulate technical problems and solutions for data-related challenges. Develop and implement algorithms for data analysis and modeling. Evaluate and select appropriate software tools, frameworks, and technologies.
• Design and execute effective data visualization strategies for presenting complex data. Develop and implement effective dashboards and reports. Collaborate with other teams to create impactful visualizations that support business decisions.
• Plan and lead efforts to ensure data quality and integrity. Develop and implement data governance policies and procedures. Monitor data quality metrics and proactively identify and address issues.
• Conduct exploratory analyses to generate insights and identify patterns in data. Develop and implement statistical analyses and models. Communicate findings and insights to stakeholders in a clear and impactful manner.

What you'll bring:

• Advanced proficiency in SQL, GCP, Tableau, Power BI, Dataiku, Element, Looker Python, R.  
• You have strong exploratory data analysis skills and ability to make analytical, data driven recommendations and solutions.
• Project Management experience with end-to-end ownership of projects.
• Team leadership.
• You have compelling, persuasive oral and written communication skills and can build strong cross-functional relationships.
• Ability to thrive in ambiguity and often lack of clarity, demonstrated ability to thrive in a fast-paced environment while managing multiple projects and tight deadlines.
• Have curiosity and ownership mindset to understand the business problems beyond the task or data.
• Analytical capabilities to root cause opportunities and storyboard visualizations to deliver actionable insights, as well as guide analysts to do same.
• Ability to make compelling data-driven recommendations to guide productivity  strategy.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 4 years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in data analysis, data science, statistics, or related field. Option 3: 6 years' experience in data analysis, data science, statistics, or related field.
1 year's supervisory experience.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, data analysis, statistics, or related field, Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for ex