OUR ORIGIN STORY 🎂

In 2011 SkySlope started as an idea born at the kitchen table of our CEO, with just him and two others. Headquartered in Sacramento, California, we have since grown out of our previous 3 offices and many of our close to 180 employees are spread all across the United States. Those 180 employees support close to 300,000 users across 5,000 offices nationwide and now in Canada as well. Included in that is 8 out of the 15 largest Real Estate Brokerages in the nation.

But, despite being happy with what we’ve achieved we know that as industry leaders in our space there’s a lot of work left to be done. All of the growth and success that has happened is a result of us obsessing over building cutting edge software that makes the Real Estate world a better place. We know this only happens by hiring people who don’t just come up with out of the box ideas but hiring people who actually see those ideas through and bring them to life. As we’ve grown, we’ve been fortunate enough to hire plenty of people who possess that quality and realize it’s equally important to hire people who can pair that skill with empathy, collaboration, and a keen sense of urgency. If you’re looking to join a company where you can have real impact and surround yourself with an incredible team of people then look no further.

SKYSLOPE’S CORE VALUES 💪🏻

These are the principles that helped us get to where we are and they are the principles that will guide us to where we want to go in the future. You can apply them to your professional life, your personal life, to any business and any situation. In no specific hierarchy, our core values are:

Main Business Functions:

• Product Data & Analytics Team Management: Oversee the quality, reliability, and timeliness of business metrics. Streamline processes for regular reporting and ensure data accuracy
• Marketing & Growth: Drive strategies to measure user acquisition, adoption, and monetization. Define KPIs and measure the effectiveness of marketing campaigns. Through your leadership, the marketing team will be equipped with the data they need to make informed decisions
• Product Alignment & Insights: Partner with PMs and technical teams to prioritize requirements for data collection and analysis. Align withPMs to identify growth opportunities and analyze the impact of product releases. Create insights that will directly influence product strategy, feature prioritization and planning, ensuring that the product continuously evolves based on data-driven feedback
• Company Goals: Lead definition and measurement of key company objectives, and develop insights to understand how the company is tracking on key initiatives and goals
• Customer Success: You will be responsible for generating insights into customer behavior, preferences, and pain points. These insights will equip the Client Success team with the information they need to improve customer satisfaction, retention, and upselling opportunities.

Responsibilities

• Team Management: Mentor, manage, and grow a team of Data Analysts. Define goal and process for the team, including setting scope, deadlines, and ensuring timely and accurate deliverables
• Strategic Analytics Roadmap: Develop, implement, and regularly update a strategic analytics roadmap that aligns with business objectives and cross-functional needs
• Cross-Functional Leadership: Serve as the primary liaison between the analytics team and other departments like Product, Marketing, and Client Success. Work closely with stakeholders to prioritize and fulfill data and analytics requests. Translate business questions into analytical projects and ensure the results are actionable
• Influence without Authority: Capable of working with several different teams to share direction and requirements to ensure proper data is collected, stored, and accessible to the analytics team
• Data Governance: Implement and maintain data governance policies to ensure data integrity, security, and compliance. Your team is the backstop for what ‘truth’ is when it comes to users and insights
• BI Dashboard Oversight: Oversee the creation, maintenance, and continuous improvement of BI Dashboards. Focus on providing actionable insights that drive business strategies
• Marketing and Product ROI Assessment: Evaluate the effectiveness of marketing campaigns and product features. Adapt strategies based on data-driven feedback to optimize ROI
• Data Vendor Management: Evaluate, select, and manage relationships with external data vendors. Ensure data quality and compliance with industry and legal standards
• Continuous Improvement: Lead analytics improvement projects that enhance data quality, reporting efficiency, and analytical capabilities
• Executive Reporting: Prepare and present high-level analytics reports to executive leadership, offering insights and recommendations that influence company-wide strategies
• Innovation: Continually explore and implement new analytical methods, tools, and best practices to keep the company at the forefront of data analytics
• Budget Management: Oversee the budget for the analytics department, including forecasting, allocation, and tracking ROI on analytics investments

Minimum Qualifications:

• A 4 year degree in a business or technical field
• 5+ years of experience in data analytics, including team management
• Experience in automation scripting (Using Python, R or another language) and ETL development and maintenance
• 5+ years of experience in manipulating data sets and conducting data analytics using SQL, BI tools (ex. Tableau, Good Data, Google Data Studio, Looker, PowerBI, etc…)
• Experience with marketing, sales and product analytics data sources such as Google Analytics, Hubspot, Salesforce Sales Cloud, Heap or equivalent technologies
• 5+ years of experience managing stakeholders and interacting with a team using agile methodologies (Kanban, SCRUM, etc..) and have the ability to plan and execute data improvement and analytics projects
• Experience presenting findings to senior management and executive leadership

Preferred Qualifications:

• Master's Degree in a relevant field or equivalent practical experience
• Proven track record of managing a data analytics team and delivering on business objectives
• Expertise in multi-channel attribution models and ROI calculations
• Experience in integrating multiple data systems and managing end-to-end projectsAdvanced proficiency in machine learning and predictive modeling techniques
• Prior experience in the real estate technology sector, or a related field
• Strong familiarity with customer relationship management (CRM) systems like Salesforce, Hubspot, etc.
• Demonstrated ability to communicate complex data findings in a clear and effective manner to non-technical stakeholders
• Certification in relevant Business Intelligence tools (e.g., Tableau, PowerBI) and methodologies
• Experience in budget management for analytics departments, including vendor negotiation and procurement
• Skill in organizational change management, with the ability to align multiple departments towards data-driven decision-making

$108,000 - $172,000 a year

Perks & PTO 🌴

- $1000 referral bonuses

- 15 PTO days per year

- 16 paid holidays per year (5 floating to be used at any time)

- Paid day off on your birthday

- 5 Days Paid Bereavement Leave

- 6 Weeks Paid Parental Leave

Insurance Offerings 👩‍⚕️

- Medical, Dental and Vision Insurance

- Short and Long Term Disability Insurance

- Company paid Life Insurance

- Flexible Spending Account (FSA)

- Health Spending Account (HSA)

Retirement and Investment 💸

- 401k + match

- Employee Stock Purchase Plan opportunities

We sincerely thank you for taking the time to review our open positions and hope you'll take the time to submit a concise and thoughtful application.

Still thinking about applying? Waiting to hear back from us? Check out our social media in the meantime!

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