Wednesday, December 11, 2019
Data Analyst - Trust Operations at AirBnB
Airbnb is one of the world’s largest marketplaces for unique, authentic places to stay and things to do, offering over 7 million accommodations and 40,000 handcrafted activities, all powered by local hosts. An economic empowerment engine, Airbnb has helped millions of hospitality entrepreneurs monetize their spaces and their passions while keeping the financial benefits of tourism in their own communities. With more than half a billion guest arrivals to date, and accessible in 62 languages across 191 countries and regions, Airbnb promotes people-to-people connection, community and trust around the world.
Trust is the foundation of our global community, and we want the interactions between our hosts and guests to embody our community values. But no global movement springs from any one individual - it takes an entire team united behind something big.
In the Analytics Job Family, you will provide data and statistical skills to help drive data-driven decisions and support operational initiatives. As an Operations Analyst, you will be responsible for building operational data visualizations, reporting on and performing statistical analysis to provide insights and recommendations.You will be working closely with the Senior Operations Analyst, your Specialization managers, Data Science, Risk Product and other stakeholders to provide feedback and improve our models and user experience that directly impact operational health.
Responsibilities
Maintain Subject Matter Expertise of your respective Specialization to take on operational core work or escalations when necessary.
Build Specialization-specific Operational dashboards to visualize data analysis and insights.
Perform statistical analysis to derive risk impact and recommend actionable next steps.
Develop an Analytics Framework in collaboration with Business Process Improvement and Operations Management.
Quarterly Planning and Roadmapping in collaboration with Operations Management and Product team.
Write monthly Specialization-specific performance reports; written reports should show methodology with detailed statistical analysis, summary of key findings, and recommendations.
Incubate, operationalize, and streamline Product launches; including Friction Optimization to improve user experience.
Review and approve query action tasks that mitigate risk.
Key Relationships
This role requires building and maintaining relationships with the following stakeholders, outside your Reporting line:
Data Science, Operations Leads, Senior Operations Analyst, Business Analytics
Policy, Quality, as potential Cross-functional Areas of Focus
Technical Skill Requirements
Proficient in SQL (or PrestoDB)
Expert at creating dashboards / data visualizations (Tableau preferred) and influencing senior leadership through data
Advanced Excel proficiency including but not limited to pivot tables, macros, charts, functions
Statistics familiarity or background
Python is always a plus!
Qualifications
6+ years experience, or 2+ years experience plus a relevant educational background (computer science, statistics, etc.)
[Contractor] Operations Analyst, Payment Fraud at AirBnB
In the Analytics Job Family, you will provide data and statistical skills to drive initiatives specific to your Specialization.
As the Operations Analyst, you will be responsible for building operational data visualizations, and performing statistical analysis to provide insights and recommendations.
You will be working closely with the Product Support and Operations Management Job Families and other stakeholders to provide feedback and improve our models and user experience.
In this role, you will be employed by a third party agency and will not be eligible for Airbnb employee benefits.
Responsibilities
Quality Control of Data queries / dashboards
Mentor Operations Analysts and Data Specialists
Support all Specializations
Key Relationships
This role requires building and maintaining relationships with the following stakeholders, outside your Reporting line:
Data Science, Operations Manager, Business Analytics
Policy, QI, as potential Cross-functional Areas of Focus*
*Cross-functional areas of focus formalize the subject matter expertise and points of contact needed for non-Ops supporting teams—to streamline communication, monitor business and tools, and to increase the capacity to which we make and push changes.
Professional Skill Requirements:
Solving problems: You quickly identify root causes as well as subtle, hidden issues. You use logic to propose effective solutions to a variety of problems. You dig deeper and utilize all available resources to reach the best possible solution. You utilize creativity to propose original solutions, and don't stop at the first, most obvious answers. You understand when cutting your losses is the best solution, and can explain why.
Taking initiative: You understand the importance of working hard, and you're willing to invest your energy into new challenges. If you see an opportunity to contribute or make things better, you take it—you don't wait around to be asked. You're comfortable acting with minimal planning, direction, and supervision. You can identify issues both within and outside of your immediate scope, and propose solutions.
Cultivating relationships You work harmoniously alongside other people. You're cooperative, and prioritize the team's success over your own. You understand the value of collaboration, and encourage teamwork. You build and maintain partnerships throughout the organization. You can effectively articulate and advocate for your own interests while remaining fair to everyone else. You are trusted and respected by the people who work with you, and have a visible and personal brand throughout the company. You are open and candid.
Technical Skill Requirements
Trained in SQL (Superset or PrestoDB)
Able to write advanced functional SQL queries
Able to easily create data visualizations
Good technical understanding of Payment fraud - data & engineering perspective.
Previous experience in building analytics models or working on risk engine models is a big plus.
Qualifications
Statistics familiarity or related education or background
You may have 7+ years of payments / payment fraud experience plus relevant education.
You must have strong influencing skills and be able to manage effectively in ambiguity.
As the Operations Analyst, you will be responsible for building operational data visualizations, and performing statistical analysis to provide insights and recommendations.
You will be working closely with the Product Support and Operations Management Job Families and other stakeholders to provide feedback and improve our models and user experience.
In this role, you will be employed by a third party agency and will not be eligible for Airbnb employee benefits.
Responsibilities
Quality Control of Data queries / dashboards
Mentor Operations Analysts and Data Specialists
Support all Specializations
Key Relationships
This role requires building and maintaining relationships with the following stakeholders, outside your Reporting line:
Data Science, Operations Manager, Business Analytics
Policy, QI, as potential Cross-functional Areas of Focus*
*Cross-functional areas of focus formalize the subject matter expertise and points of contact needed for non-Ops supporting teams—to streamline communication, monitor business and tools, and to increase the capacity to which we make and push changes.
Professional Skill Requirements:
Solving problems: You quickly identify root causes as well as subtle, hidden issues. You use logic to propose effective solutions to a variety of problems. You dig deeper and utilize all available resources to reach the best possible solution. You utilize creativity to propose original solutions, and don't stop at the first, most obvious answers. You understand when cutting your losses is the best solution, and can explain why.
Taking initiative: You understand the importance of working hard, and you're willing to invest your energy into new challenges. If you see an opportunity to contribute or make things better, you take it—you don't wait around to be asked. You're comfortable acting with minimal planning, direction, and supervision. You can identify issues both within and outside of your immediate scope, and propose solutions.
Cultivating relationships You work harmoniously alongside other people. You're cooperative, and prioritize the team's success over your own. You understand the value of collaboration, and encourage teamwork. You build and maintain partnerships throughout the organization. You can effectively articulate and advocate for your own interests while remaining fair to everyone else. You are trusted and respected by the people who work with you, and have a visible and personal brand throughout the company. You are open and candid.
Technical Skill Requirements
Trained in SQL (Superset or PrestoDB)
Able to write advanced functional SQL queries
Able to easily create data visualizations
Good technical understanding of Payment fraud - data & engineering perspective.
Previous experience in building analytics models or working on risk engine models is a big plus.
Qualifications
Statistics familiarity or related education or background
You may have 7+ years of payments / payment fraud experience plus relevant education.
You must have strong influencing skills and be able to manage effectively in ambiguity.
Data Analyst - Trust Operations at AirBnB
Airbnb is one of the world’s largest marketplaces for unique, authentic places to stay and things to do, offering over 7 million accommodations and 40,000 handcrafted activities, all powered by local hosts. An economic empowerment engine, Airbnb has helped millions of hospitality entrepreneurs monetize their spaces and their passions while keeping the financial benefits of tourism in their own communities. With more than half a billion guest arrivals to date, and accessible in 62 languages across 191 countries and regions, Airbnb promotes people-to-people connection, community and trust around the world.
Trust is the foundation of our global community, and we want the interactions between our hosts and guests to embody our community values. But no global movement springs from any one individual - it takes an entire team united behind something big.
In the Analytics Job Family, you will provide data and statistical skills to help drive data-driven decisions and support operational initiatives. As an Operations Analyst, you will be responsible for building operational data visualizations, reporting on and performing statistical analysis to provide insights and recommendations.You will be working closely with the Senior Operations Analyst, your Specialization managers, Data Science, Risk Product and other stakeholders to provide feedback and improve our models and user experience that directly impact operational health.
Responsibilities
Maintain Subject Matter Expertise of your respective Specialization to take on operational core work or escalations when necessary.
Build Specialization-specific Operational dashboards to visualize data analysis and insights.
Perform statistical analysis to derive risk impact and recommend actionable next steps.
Develop an Analytics Framework in collaboration with Business Process Improvement and Operations Management.
Quarterly Planning and Roadmapping in collaboration with Operations Management and Product team.
Write monthly Specialization-specific performance reports; written reports should show methodology with detailed statistical analysis, summary of key findings, and recommendations.
Incubate, operationalize, and streamline Product launches; including Friction Optimization to improve user experience.
Review and approve query action tasks that mitigate risk.
Key Relationships
This role requires building and maintaining relationships with the following stakeholders, outside your Reporting line:
Data Science, Operations Leads, Senior Operations Analyst, Business Analytics
Policy, Quality, as potential Cross-functional Areas of Focus
Technical Skill Requirements
Proficient in SQL (or PrestoDB)
Expert at creating dashboards / data visualizations (Tableau preferred) and influencing senior leadership through data
Advanced Excel proficiency including but not limited to pivot tables, macros, charts, functions
Statistics familiarity or background
Python is always a plus!
Qualifications
6+ years experience, or 2+ years experience plus a relevant educational background (computer science, statistics, etc.)
Strategic Planning Specialist - The Good Food Institute
Strategic Planning SpecialistCoordinate the global strategy to transform the food system
The Good Food Institute (GFI) is at the forefront of the movement to use food technology and markets to solve some of the world’s biggest problems, from climate change and global hunger to antibiotic resistance and the exploitation of billions of animals annually.
How You Will Make a Difference
In this role, you will provide high-level strategy and planning, coordination, and execution support to the Executive team and our international affiliates. This will include ensuring that global priorities are well-coordinated and communicated across the organization, the effectiveness of our strategies is evaluated using data, and any necessary course corrections are implemented. In addition, this role will add general project management capacity and technical support to the Executive team. For purposes of this job description, ‘priorities’ and ‘goals’ are generally synonymous with our Objectives, Key Results, and Actions (OKRA) framework. The Strategic Planning Specialist will be responsible for:
- Supporting the Chief of Staff in improving the planning, revision, and execution of GFI’s global strategy and workstreams within the OKRA framework on a quarterly and annual basis by acting as a liaison across U.S. departments and international affiliates.
- Collaborating with GFI departments to establish, track, and report on quantitative and qualitative metrics of progress toward organizational goals, including the development of effective proxy metrics for progress toward goals that cannot be measured directly.
- Providing analytical support to the Executive department and international affiliates as well as back-up support to the Executive Team Assistant as needed.
- Supporting GFI’s Global Committees by organizing meetings, taking and distributing meeting minutes, and overseeing follow-up with internal stakeholders within the OKRA framework.
- Sharing feedback and making recommendations to GFI leadership highlighting key strategy learnings and opportunities for improvement.
- Representing the Executive team on the Web Governance Committee as we create a new website, ensuring coordination with affiliate teams to ensure GFI’s global presence is appropriately communicated to our key external stakeholders.
- Identifying gaps between the objectives of the US and affiliate strategic plans and execution, and providing real-time, actionable feedback and adjustments.
- Identifying high-impact opportunities within the existing strategic plans and bringing them to the Executive team and international managing directors for consideration.
- Serving as a Salesforce Super User for the Executive team, including participating in Salesforce reporting and assisting affiliates with data evaluation as needed.
- Providing Asana project support and general training and guidance on the system to Executive Team and affiliate staff.
- Perform any other duties assigned by the supervisor.
Who We’re Looking ForThe Strategic Planning Specialist must have:
- A bachelor's degree or equivalent experience.
- A minimum of three years’ work experience in project management.
- Demonstrated strategic planning and execution skills.
- Exceptional research and analysis skills.
- Exceptional interpersonal and communication skills.
- Interest in, functional understanding of, and ability to speak to both the business and science sides of GFI’s work.
- Comfort working remotely and in a rapidly growing and evolving global organization.
- Support for GFI’s philosophy and ability to professionally advocate for GFI’s positions.
The ideal candidate will also have:
- Experience establishing and measuring Key Performance Indicators (KPIs), especially within OKR (Objectives and Key Results) systems.
- PMP certification.
- Experience either working internationally or coordinating projects across multiple countries/regions.
We want the best people and we don’t want biases holding us back. We strongly encourage people of every color, orientation, age, gender, origin, and ability to apply. Because we value a diverse workplace, we prioritize an inclusive climate absent of discrimination and harassment during the application process and after you join the team.
The Fine Print
- Terms of employment: Full-time, exempt
- Reports to: Sanah Baig, Chief of Staff
- Location: Remote; United States
- Benefits: Working from home, full medical coverage, optional dental and vision packages, a 401(k) retirement plan with employer match, flexible holiday and vacation plans, opportunity for advancement, respectful managers, and supportive colleagues.
- This is a U.S.-based position: We are only able to consider applicants who are United States citizens or who already possess a United States Worker Visa.
- Salary: $53,000-$60,000
Source :
The Good Food Institute
https://www.gfi.org/jobs?gh_jid=4387509002&gh_src=153a68682
Data Analyst, Google Pay
About the job
Financial Analysts ensure that Google makes sound financial decisions. As a Financial Analyst, your work, whether it's modeling business scenarios or tracking performance metrics, is used by our leaders to make strategic company decisions. Working on multiple projects at a time, you'll stay focused on the details while finding creative ways to take on big picture challenges.
As a Data Analyst, you are passionate about metrics, quantitative analytics, and analytical methods and tools. You will coordinate across functions to dissect business, product, growth, acquisition, retention, and operational metrics. You will take initiative to help leverage data, identify tactics, and define strategy. Additionally, you'll conduct analyses and gather data, requirements specification, processing, and final business recommendations, collaborating with Product teams to help build future looking business models. In this role, you will help us shape Tez, Google's payments product in India. Your work will help our leaders make strategic decisions. You will demonstrate and ability to handle multiple projects at a time, focusing on the details and finding creative ways to take on big picture challenges.
The name Google came from ""googol,"" a mathematical term for the number 1 followed by 100 zeros. And nobody at Google loves big numbers like the Finance team when providing in depth analysis on all manner of strategic decisions across Google products. From developing forward-thinking analysis to generating management reports to scaling our automated financial processes, the Finance organization is an important partner and advisor to the business.
Responsibilities
Work with large, complex data sets to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.
Design effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
Drive visibility into business performance. Conduct regular metrics reviews, planning, and forecasting.
Minimum qualifications:
BA/BS degree in Computer Science, Mathematics, or related quantitative field or equivalent practical experience.
2 years of experience with databases, including SQL coding across standard commercial databases (e.g. Teradata, MySQL, etc.) and statistics tools including; R, SPSS, Python, MATLAB or similar.
Preferred qualifications:
Experience as a business/quantitative analyst in e-commerce or Payments and/or financial services.
Experience with one or more coding and/or scripting languages (e.g., Python, R, SQL, Stata, or MATLAB).
Ability to take initiative in an unstructured environment, demonstrating a bias towards action and high attention to detail.
Ability to communicate with a senior management.
Excellent business judgment, problem-solving, analytical, and leadership skills.
Excellent partnership and cross-functional collaboration skills.
Financial Analysts ensure that Google makes sound financial decisions. As a Financial Analyst, your work, whether it's modeling business scenarios or tracking performance metrics, is used by our leaders to make strategic company decisions. Working on multiple projects at a time, you'll stay focused on the details while finding creative ways to take on big picture challenges.
As a Data Analyst, you are passionate about metrics, quantitative analytics, and analytical methods and tools. You will coordinate across functions to dissect business, product, growth, acquisition, retention, and operational metrics. You will take initiative to help leverage data, identify tactics, and define strategy. Additionally, you'll conduct analyses and gather data, requirements specification, processing, and final business recommendations, collaborating with Product teams to help build future looking business models. In this role, you will help us shape Tez, Google's payments product in India. Your work will help our leaders make strategic decisions. You will demonstrate and ability to handle multiple projects at a time, focusing on the details and finding creative ways to take on big picture challenges.
The name Google came from ""googol,"" a mathematical term for the number 1 followed by 100 zeros. And nobody at Google loves big numbers like the Finance team when providing in depth analysis on all manner of strategic decisions across Google products. From developing forward-thinking analysis to generating management reports to scaling our automated financial processes, the Finance organization is an important partner and advisor to the business.
Responsibilities
Work with large, complex data sets to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.
Design effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
Drive visibility into business performance. Conduct regular metrics reviews, planning, and forecasting.
Minimum qualifications:
BA/BS degree in Computer Science, Mathematics, or related quantitative field or equivalent practical experience.
2 years of experience with databases, including SQL coding across standard commercial databases (e.g. Teradata, MySQL, etc.) and statistics tools including; R, SPSS, Python, MATLAB or similar.
Preferred qualifications:
Experience as a business/quantitative analyst in e-commerce or Payments and/or financial services.
Experience with one or more coding and/or scripting languages (e.g., Python, R, SQL, Stata, or MATLAB).
Ability to take initiative in an unstructured environment, demonstrating a bias towards action and high attention to detail.
Ability to communicate with a senior management.
Excellent business judgment, problem-solving, analytical, and leadership skills.
Excellent partnership and cross-functional collaboration skills.
Quantitative Equity Analyst
retrieved from https://simplywall.st/careers/quantitative-equity-analyst-sydney
About us:
Simply Wall St is looking for an Quantitative Equity Analyst to join the Simply Wall St team and help us on the mission of transforming the way everyday people around the world invest, through empowering them to understand complicated financial data and make better, non-emotional decisions.
You’ll be managing and building the underlying financial analysis system that powers our research platform and News site.
Simply Wall St is a world-class product revolutionary in many ways – we use unique data visualizations and automation to make traditionally complex and complicated things simple and accessible. We are solving a very interesting problem in a very underserved space; the average retail investor massively underperforms the market but they really don't have to.
This is an opportunity to work at a well-funded, fast-growing Fintech startup with a global impact that is still in its early stage. We are growing really fast but the team is still very small – your work will directly impact every part of our product and will be used by millions of investors around the world every month.
This role would be best suited to somebody with equity research experience who also has programming knowledge for building analysis models.
Who are you?
Take some time to explore our product (including the News site!), if you get invited to an interview we expect you to know it inside out. We have an open source analysis model that also acts as an educational tool for our users.
We love suggestions on how we can improve our analysis, visualisations and user experience. How do you think our analysis system works? How would you improve it?
What are we looking for?
You’ve probably already figured our equity research system is entirely automated. The person for this role will be investigating and proposing improvements to our models, testing the improvements and finally implementing and monitoring them. Currently we have a company analysis model, an industry averages model and a portfolio analysis model. However as a startup this is constantly changing.
Traits you’ll need to excel in this role:
Understanding that the alpha in our models is user alpha (helping retail investors) and not financial alpha (although ideally these align)
Fast learner and quick to adapt
Take full responsibility for your work
Always asking why and questioning the status quo
Technically this might look like:
Excellent understanding of the equity markets with experience in equity analysis, fundamental analysis and strong understanding of valuation techniques;
Experienced in programming, although we aren’t particular about the language;
Experienced in building quantitative analysis models and handling large data sets;
An analytical mindset that can conceive innovative ways to discover insights from complex data;
Solid accounting knowledge, you can quickly dissect a balance sheet.
Bonus points given for:
Interesting side projects outside of work;
Knowledge of SQL or other data query methods;
Already having a portfolio of shares.
Why us?
Equity research is undergoing a huge shift and Simply Wall St is at the forefront of the technology changing how it will look, join us if you’d like to be part of that.
How to apply
Being a technical role, we ask you apply via our API like the rest of our developers:
Send an OPTIONS request to https://legacy.simplywall.st/careers
(If you haven't done this before, don't worry its quite straightforward)
Include some ideas on how we could improve our current analysis model
About us:
Simply Wall St is looking for an Quantitative Equity Analyst to join the Simply Wall St team and help us on the mission of transforming the way everyday people around the world invest, through empowering them to understand complicated financial data and make better, non-emotional decisions.
You’ll be managing and building the underlying financial analysis system that powers our research platform and News site.
Simply Wall St is a world-class product revolutionary in many ways – we use unique data visualizations and automation to make traditionally complex and complicated things simple and accessible. We are solving a very interesting problem in a very underserved space; the average retail investor massively underperforms the market but they really don't have to.
This is an opportunity to work at a well-funded, fast-growing Fintech startup with a global impact that is still in its early stage. We are growing really fast but the team is still very small – your work will directly impact every part of our product and will be used by millions of investors around the world every month.
This role would be best suited to somebody with equity research experience who also has programming knowledge for building analysis models.
Who are you?
Take some time to explore our product (including the News site!), if you get invited to an interview we expect you to know it inside out. We have an open source analysis model that also acts as an educational tool for our users.
We love suggestions on how we can improve our analysis, visualisations and user experience. How do you think our analysis system works? How would you improve it?
What are we looking for?
You’ve probably already figured our equity research system is entirely automated. The person for this role will be investigating and proposing improvements to our models, testing the improvements and finally implementing and monitoring them. Currently we have a company analysis model, an industry averages model and a portfolio analysis model. However as a startup this is constantly changing.
Traits you’ll need to excel in this role:
Understanding that the alpha in our models is user alpha (helping retail investors) and not financial alpha (although ideally these align)
Fast learner and quick to adapt
Take full responsibility for your work
Always asking why and questioning the status quo
Technically this might look like:
Excellent understanding of the equity markets with experience in equity analysis, fundamental analysis and strong understanding of valuation techniques;
Experienced in programming, although we aren’t particular about the language;
Experienced in building quantitative analysis models and handling large data sets;
An analytical mindset that can conceive innovative ways to discover insights from complex data;
Solid accounting knowledge, you can quickly dissect a balance sheet.
Bonus points given for:
Interesting side projects outside of work;
Knowledge of SQL or other data query methods;
Already having a portfolio of shares.
Why us?
Equity research is undergoing a huge shift and Simply Wall St is at the forefront of the technology changing how it will look, join us if you’d like to be part of that.
How to apply
Being a technical role, we ask you apply via our API like the rest of our developers:
Send an OPTIONS request to https://legacy.simplywall.st/careers
(If you haven't done this before, don't worry its quite straightforward)
Include some ideas on how we could improve our current analysis model
Subscribe to:
Posts (Atom)