Overview
Remote
USD 85.00 - 90.00 per hour
Contract - W2
Skills
Educate
SAFE
Collaboration
Analytical Skill
Communication
Partnership
Global Operations
Data Engineering
Reporting
Dashboard
KPI
Management
Tableau
Microsoft Power BI
Alteryx
Apache Hive
Data Visualization
Customization
SQL
Data Extraction
Research
Data Science
Science
FOCUS
Journalism
Quantitative Research
Data Analysis
Relational Databases
Object-Oriented Programming
Presentations
Statistics
Marketing
Marketing Analytics
Social Media
Artificial Intelligence
Job Details
Job Description
US Remote (No preference)
Product Operations' focus is to support and educate the people and businesses who use our products through direct interactions and scalable solutions. We develop processes to help improve the health of our products and work with cross-functional partners to ensure a high-quality experience on our platforms. You will gain experience and make an impact in a fast-growing organization. Those who join our teams are very passionate about solving people's issues, and are strong advocates for our users globally. If you like helping people, Product Operations is for you.
The Product Operations team ensures that the suite of apps are as reliable as possible by working closely with Global Operations, Data Science, Engineering, Product and several other teams.
We are looking for a data analyst who shares our passion for helping make apps and products reliable and safe. The right candidate will be comfortable in a fast-moving organization and excited to collaborate cross functionally. You will possess strong quantitative analytical skills, statistical knowledge, data visualization skills and communication skills, and the ability to build strong partnerships to drive impact across the organization.
Responsibilities
Partner with teams within Product Operations, the broader Global Operations organization, Data Science, Data Engineering, Product and Engineering teams to solve problems and identify trends and opportunities Independently analyze data, conduct research and synthesize feedback into plans, processes and playbooks Build/maintain data infrastructure (reporting layer data pipelines, reports, dashboards, alerts) to monitor the performance of our operations and drive business understanding Proactively propose creative technical and quantitative solutions to problems and drive these through to implementation e.g.through identification of data & tooling requirements enabling self-service / scalable solutions Communicate results of analyses to non-technical stakeholders who are the users of systems involving metrics, pipelines, and dashboards Define metrics/KPIs for end to end product operations and building repeatable and reproducible analysis
Minimum Qualifications:
Experience in managing multiple projects and meeting deadlines in a fast-paced environment.
Experience with Tableau, PowerBi, Alteryx, Hive and other data visualization and customization tools.
2+ years of experience with SQL for data extraction and manipulation.
Bachelor's Degree in a technical or research-oriented field such as engineering, data science, social science, or related fields (with focus on data - e.g. data journalism).
4+ years of work experience in quantitative research, statistics, or data analysis.
Experience with statistical analysis, relational databases, and/or object-oriented programing languages.
Experience with communicating and presenting findings to non-technical stakeholders.
Preferred Qualifications:
Advanced technical degree or graduate degree in statistics, marketing, or related fields.
Experience in marketing analytics or social media measurement.
Experience measuring the performance of AI models
US Remote (No preference)
Product Operations' focus is to support and educate the people and businesses who use our products through direct interactions and scalable solutions. We develop processes to help improve the health of our products and work with cross-functional partners to ensure a high-quality experience on our platforms. You will gain experience and make an impact in a fast-growing organization. Those who join our teams are very passionate about solving people's issues, and are strong advocates for our users globally. If you like helping people, Product Operations is for you.
The Product Operations team ensures that the suite of apps are as reliable as possible by working closely with Global Operations, Data Science, Engineering, Product and several other teams.
We are looking for a data analyst who shares our passion for helping make apps and products reliable and safe. The right candidate will be comfortable in a fast-moving organization and excited to collaborate cross functionally. You will possess strong quantitative analytical skills, statistical knowledge, data visualization skills and communication skills, and the ability to build strong partnerships to drive impact across the organization.
Responsibilities
Partner with teams within Product Operations, the broader Global Operations organization, Data Science, Data Engineering, Product and Engineering teams to solve problems and identify trends and opportunities Independently analyze data, conduct research and synthesize feedback into plans, processes and playbooks Build/maintain data infrastructure (reporting layer data pipelines, reports, dashboards, alerts) to monitor the performance of our operations and drive business understanding Proactively propose creative technical and quantitative solutions to problems and drive these through to implementation e.g.through identification of data & tooling requirements enabling self-service / scalable solutions Communicate results of analyses to non-technical stakeholders who are the users of systems involving metrics, pipelines, and dashboards Define metrics/KPIs for end to end product operations and building repeatable and reproducible analysis
Minimum Qualifications:
Experience in managing multiple projects and meeting deadlines in a fast-paced environment.
Experience with Tableau, PowerBi, Alteryx, Hive and other data visualization and customization tools.
2+ years of experience with SQL for data extraction and manipulation.
Bachelor's Degree in a technical or research-oriented field such as engineering, data science, social science, or related fields (with focus on data - e.g. data journalism).
4+ years of work experience in quantitative research, statistics, or data analysis.
Experience with statistical analysis, relational databases, and/or object-oriented programing languages.
Experience with communicating and presenting findings to non-technical stakeholders.
Preferred Qualifications:
Advanced technical degree or graduate degree in statistics, marketing, or related fields.
Experience in marketing analytics or social media measurement.
Experience measuring the performance of AI models
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.