Facebook Looking For Data Analyst, Legal Technology Solutions at New York, NY Full Time
Want to work on front page news issues? Excited about solving new problems at an unheard-of scale? The Data Analytics team in Legal Technology Solutions (LTS) is seeking Data Analysts who can execute cutting edge Analytics solutions to an array of emerging problems, for Facebook’s Legal organization. This role allows for a high degree of ownership of the solutions you launch and the ability to make positive change every day.The LTS Data Analytics team in Facebook’s Legal organization is looking for a Data Analyst who can leverage data and analytics to identify opportunities that improve the efficiency of LTS team’s customers. The successful candidate will focus on improving user experience, by driving data-informed strategies to measure LTS customers’ top goals and KPIs. They will need to collaborate with Legal subject matter experts, engineering teams, third-party vendors, and cross-functional partners to provide Analytics solutions that will increase the efficiency and improve the productivity of users in Facebook’s Legal organization and the business teams they work with. Reporting to the LTS Data Analytics Manager, they will help ensure that compliance policies, internal controls, and systems help Facebook in its mission to make the world more open and connected.
Articulate the technology needs, requirements and goals of the team
Interface with investigators, analysts, leads and managers to understand their data needs
Interface with engineers/product managers to implement customers’ needs
Leverage data and analytics to identify actionable insights, suggest recommendations through effective communication
Manage codebase, pipelines, rule logic and underlying data table architectures that support the operational workflows and its various third-party integrations
Develop strong cross-functional partnerships across Facebook to drive LTS Data Analytics team’s success
BA/BS in Math, Statistics, Economics, Computer Science, Physics, or other quantitative fields
3+ years of experience in a data-focused discipline
Experience with backend technologies (SQL, Hive/Presto/Spark, NoSQL)
Experience using statistical analysis tools (e. g., R, Python, SAS), and data visualization tools (e. g., Tableau, Spotfire, QlikView, D3.js)
Experience with data focused initiatives such as structuring assessments around data quality, and development of reporting aids for both internal and external audiences
Masters degree in a quantitative discipline
Experience with scripting (e. g., JavaScript, PHP, XML, RestAPI) and databases (HDFS, RDBMS, Key-Value storage)
Experience in analytics techniques such as machine learning, text mining, natural language processing, decision trees
Facebook’s mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we’re building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we’re creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities – we’re just getting started.
Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Articulate the technology needs, requirements and goals of the team
Interface with investigators, analysts, leads and managers to understand their data needs
Interface with engineers/product managers to implement customers’ needs
Leverage data and analytics to identify actionable insights, suggest recommendations through effective communication
Manage codebase, pipelines, rule logic and underlying data table architectures that support the operational workflows and its various third-party integrations
Develop strong cross-functional partnerships across Facebook to drive LTS Data Analytics team’s success
BA/BS in Math, Statistics, Economics, Computer Science, Physics, or other quantitative fields
3+ years of experience in a data-focused discipline
Experience with backend technologies (SQL, Hive/Presto/Spark, NoSQL)
Experience using statistical analysis tools (e. g., R, Python, SAS), and data visualization tools (e. g., Tableau, Spotfire, QlikView, D3.js)
Experience with data focused initiatives such as structuring assessments around data quality, and development of reporting aids for both internal and external audiences
Masters degree in a quantitative discipline
Experience with scripting (e. g., JavaScript, PHP, XML, RestAPI) and databases (HDFS, RDBMS, Key-Value storage)
Experience in analytics techniques such as machine learning, text mining, natural language processing, decision trees
Facebook’s mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we’re building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we’re creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities – we’re just getting started.
Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.