Ladder

Ladder

Business Operations Manager (BizOps, SQL, and Data Modeling

Remote -United States · Exec

Sponsorship not specified$122k-$171kDetected 4 days ago
SQLData ScienceForecastingPerformance ManagementResearchLeadershipCommunicationUnderwriting

About the role

  • The ideal candidate will possess a mix of Strategy, Analytics, and Operations background.
  • They will have demonstrated experience providing strong business analytics, and delivering on projects of all sizes.
  • Please note, this is a remote role based role in one of the 23 States Ladder is currently hiring in - AZ, CA, CO, CT, FL, GA, IA, KS, MA, MD, MN, NC, NH, NJ, NV, NY, OH, OR, PA, TX, VA, WA, WI.

Responsibilities

  • Drive performance management and reporting to leadership across Ladder: you will be a hub for business data and communication, and act as the primary point of contact for product and performance data. When we over- or underperform, you'll know why
  • Develop new analytics and data processes: understand Ladder's data processes and dashboards, work internally with engineering, data science, and other stakeholders to optimize
  • Lead or program manage multiple strategic initiatives at any given point. Some examples include: drafting business cases for a new product idea, evaluating the impact of a change in our user funnel,, or strategizing to drive further monetization
  • Collaborate and coordinate cross-functionally: you will need to navigate across Ladder's functions, and gather and analyze data from multiple sources to inform decision-making at all levels
  • Build efficient processes and implement new systems: you will spot the highest priority business initiatives and improvement areas, and devise new processes or implement new systems to bring those to life.
  • Demonstrated ability to lead complex projects end to end
  • Passion for solving complex problems, and building scalable processes
  • Ladder is building a diverse team of talented and enthusiastic people.
  • Ability to effectively manage time, prioritize tasks and work within deadlines with little supervision

Requirements

  • getting covered took too long, involved too much paperwork, and required too many in-person meetings with sales agents.
  • we'd love to know how you can elevate our team with your unique experience!
  • They must be able to thrive and succeed in an entrepreneurial environment, and not be hindered by ambiguity or competing priorities.
  • Experience Required
  • BA / BS degree or equivalent practical experience
  • 5+ years of experience in a business strategy (BizOps, management consulting, etc.), data science, or product management role

Compensation

  • The base pay range targeted for this position is $122,000.00 - $171,000.00 per year.

Benefits

  • To support you in your role, we offer fantastic perks and benefits that reflect our mission of care and support, including:
  • Excellent medical, dental, and vision coverage | We offer competitive healthcare, dental and vision plans for you and your family.
  • Flexible paid time off | Take the time that you need to rest and recharge, including our week-long winter holiday closure.
  • Stock options | We offer competitive stock option packages to participate in the success of building Ladder.
  • A rewarding 401k match program | We'll match up to 4% of your contributions as you save for your retirement goals.
  • Ladder Fit Program | Your health matters.
  • That's why Ladder provides a monthly stipend for wellness-related expenses.
  • This role is eligible for equity and benefits as shared above.
  • At Ladder, differences are celebrated and supported for the benefit of our people, our product, and our community.
  • Upon joining, we provide a one-time remote office stipend for all team members and then a monthly stipend to cover WFH costs such as the internet.

Equal opportunity

  • We are an equal opportunity workplace.

Visa & Work Authorization

  • Please note, Ladder is not currently sponsoring or transferring OPT or H1-B visa's.

This listing is sourced directly from Ladder's careers page and normalized into a canonical job model.