Latch Inc.
Hardware Quality Data Analyst
Latch Inc., Mexico, Missouri, United States, 65265
Latch was founded in NYC a decade ago with a vision to create unparalleled experience for residents through hardware and software. Now after 100+ million unlocks, we're continuing that vision to transform how people interact with spaces everywhere.
Our mission is to unify access to spaces, services, and experiences that redefine the way we live, work, and connect. We do this by combining software, products, and services into a holistic platform that makes spaces more efficient, enjoyable, and profitable.
Recently, we've acquired Honest Day’s Work, propelling us toward a seamless residential ecosystem. Think empowered building owners, operators, and residents with secure access.Led by CEO Jamie Siminoff's visionary expertise, we're shaping the future of spaces.
About the Role:
As a
Hardware Quality Data Analyst
at Latch, you will play a critical role in leveraging data to enhance the reliability and performance of our hardware products. Your primary focus will be on analyzing datasets to predict failure modes, estimate product lifetimes, and identify trends in product performance. Your insights will guide design improvements, shape testing procedures, and inform product development strategies. We are seeking a detail-oriented professional with strong expertise in data analysis, statistical modeling, and predictive maintenance. Your work will be instrumental in shaping the quality and performance of Latch’s products, significantly contributing to our reputation for excellence and reliability in the market.
Responsibilities:Perform root cause analysis on product failuresExecute and monitor engineering evaluation tests under supervisionSupport product reliability testingAssist in collecting, reporting, and analyzing product failure dataHelp with lab logistics, including organizing and shipping equipmentSetup and maintain lab equipment
Qualifications:
Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field.Proven experience in data analysis, statistical modeling, and predictive analytics.Proficiency in data analysis tools and programming languages such as Python.Experience with data visualization software like Tableau, Deepnote, or Looker.Strong understanding of statistical techniques and methodologies.Familiarity with database management systems and querying languages (e.g., SQL).Excellent problem-solving skills and attention to detail.Ability to communicate complex data findings effectively to both technical and non-technical stakeholders.Experience with hardware systems and reliability engineering is a plus.Joining us means:Having teammates all over the world in the US, Argentina, Mexico, Italy, Uruguay, Portugal, and Spain.Collaborating in a fast-paced environment where you can apply what you have learned in new challenges, and, more importantly, grow your career.Being encouraged to invent and innovate within your role and working in a company where calculated risk-taking is highly encouraged and thinking outside the box is a must.We embrace diversity and strive to create an inclusive and equitable environment for all.
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Our mission is to unify access to spaces, services, and experiences that redefine the way we live, work, and connect. We do this by combining software, products, and services into a holistic platform that makes spaces more efficient, enjoyable, and profitable.
Recently, we've acquired Honest Day’s Work, propelling us toward a seamless residential ecosystem. Think empowered building owners, operators, and residents with secure access.Led by CEO Jamie Siminoff's visionary expertise, we're shaping the future of spaces.
About the Role:
As a
Hardware Quality Data Analyst
at Latch, you will play a critical role in leveraging data to enhance the reliability and performance of our hardware products. Your primary focus will be on analyzing datasets to predict failure modes, estimate product lifetimes, and identify trends in product performance. Your insights will guide design improvements, shape testing procedures, and inform product development strategies. We are seeking a detail-oriented professional with strong expertise in data analysis, statistical modeling, and predictive maintenance. Your work will be instrumental in shaping the quality and performance of Latch’s products, significantly contributing to our reputation for excellence and reliability in the market.
Responsibilities:Perform root cause analysis on product failuresExecute and monitor engineering evaluation tests under supervisionSupport product reliability testingAssist in collecting, reporting, and analyzing product failure dataHelp with lab logistics, including organizing and shipping equipmentSetup and maintain lab equipment
Qualifications:
Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field.Proven experience in data analysis, statistical modeling, and predictive analytics.Proficiency in data analysis tools and programming languages such as Python.Experience with data visualization software like Tableau, Deepnote, or Looker.Strong understanding of statistical techniques and methodologies.Familiarity with database management systems and querying languages (e.g., SQL).Excellent problem-solving skills and attention to detail.Ability to communicate complex data findings effectively to both technical and non-technical stakeholders.Experience with hardware systems and reliability engineering is a plus.Joining us means:Having teammates all over the world in the US, Argentina, Mexico, Italy, Uruguay, Portugal, and Spain.Collaborating in a fast-paced environment where you can apply what you have learned in new challenges, and, more importantly, grow your career.Being encouraged to invent and innovate within your role and working in a company where calculated risk-taking is highly encouraged and thinking outside the box is a must.We embrace diversity and strive to create an inclusive and equitable environment for all.
#J-18808-Ljbffr