Overview
On Site
USD 75.00 - 80.00 per hour
Contract - W2
Skills
PDO
Machine Learning (ML)
Artificial Intelligence
KPI
Dashboard
Quantitative Analysis
Collections
Data Science
Data Quality
Relational Databases
Business Intelligence
Data Manipulation
Analytical Skill
Unstructured Data
Business Analytics
Database
SQL
Python
Data Processing
Data Analysis
Analytics
Microsoft Excel
Statistics
Logistic Regression
Forecasting
Communication
Collaboration
Leadership
Job Details
Job Description
Onsite: NYC/SEA/MPK - 5 days
Looking for an experienced Data Analyst to join the Product Data Operations (PDO) team. PDO provides data and insights that power machine learning and AI at the core of all our products. We are looking for experienced professionals with a strong background in advanced data analysis, excellent communication skills, and a proven ability to build and maintain KPI dashboards.
Additionally, we seek someone who has a passion for diving deep to understand where and how there are opportunities within our processes to improve performance and reduce waste. This individual has a demonstrated ability to leverage large data sets and advanced tooling. They also will have strong analytical & investigative skills and should be comfortable with ambiguity and experimentation.
Responsibilities -
Apply expertise in quantitative analysis and statistical analysis to formulate deep-level insights that help identify trends & opportunities to drive growth of our business, and measure impact.
Designs interconnected collections of high performance visualizations that enable clear narrative understanding as well as deeper, interactive exploration.
Be a thought leader for data-informed initiatives and contribute to the team's direction overall.
Conduct in-depth investigations leveraging large and complex data sets.
Partner with Project Managers, Data Science, Product teams to solve problems at scale.
Inform, influence, and execute new strategies and tactics using analysis and impact metrics.
Determines success metrics that measure short and long-term progress for both goal and project performance.
Build narrative around data quality and provide insights that will help in better annotation project performance opportunities.
Handle relational and non- relational databases, data frames and/or Business Intelligence development, performing data transformations and data manipulation.
Design and develop data solutions that help the team and leadership make data driven analytical decisions tailored to improve the business.
Leverage appropriate analytical techniques to draw conclusions from structured and unstructured data and answer exploratory and hypothesis-based questions that inform data-driven decisions.
Minimum Qualifications -
Degree in Business Analytics, Engineering, or a related field and 5+ years of work experience in an analyst role.
Database querying language(SQL) and programming language (Python) for data processing, data analysis and analytics
Advanced Excel / Google Sheet experience
Perform quantitative and statistical analysis using advanced methodologies, including linear and logistic regression and forecasting models
Strong communication skills and ability to build relationships and influence stakeholders across functional boundaries and globally
Ability to make judgments under tight deadlines and competing priorities
Experience driving collaboration of cross-functional teams, coordinating effectively, and inspiring others
Experience communicating effectively via various formats, time zones and audiences, including within operations teams and across with key stakeholders and senior leadership
Onsite: NYC/SEA/MPK - 5 days
Looking for an experienced Data Analyst to join the Product Data Operations (PDO) team. PDO provides data and insights that power machine learning and AI at the core of all our products. We are looking for experienced professionals with a strong background in advanced data analysis, excellent communication skills, and a proven ability to build and maintain KPI dashboards.
Additionally, we seek someone who has a passion for diving deep to understand where and how there are opportunities within our processes to improve performance and reduce waste. This individual has a demonstrated ability to leverage large data sets and advanced tooling. They also will have strong analytical & investigative skills and should be comfortable with ambiguity and experimentation.
Responsibilities -
Apply expertise in quantitative analysis and statistical analysis to formulate deep-level insights that help identify trends & opportunities to drive growth of our business, and measure impact.
Designs interconnected collections of high performance visualizations that enable clear narrative understanding as well as deeper, interactive exploration.
Be a thought leader for data-informed initiatives and contribute to the team's direction overall.
Conduct in-depth investigations leveraging large and complex data sets.
Partner with Project Managers, Data Science, Product teams to solve problems at scale.
Inform, influence, and execute new strategies and tactics using analysis and impact metrics.
Determines success metrics that measure short and long-term progress for both goal and project performance.
Build narrative around data quality and provide insights that will help in better annotation project performance opportunities.
Handle relational and non- relational databases, data frames and/or Business Intelligence development, performing data transformations and data manipulation.
Design and develop data solutions that help the team and leadership make data driven analytical decisions tailored to improve the business.
Leverage appropriate analytical techniques to draw conclusions from structured and unstructured data and answer exploratory and hypothesis-based questions that inform data-driven decisions.
Minimum Qualifications -
Degree in Business Analytics, Engineering, or a related field and 5+ years of work experience in an analyst role.
Database querying language(SQL) and programming language (Python) for data processing, data analysis and analytics
Advanced Excel / Google Sheet experience
Perform quantitative and statistical analysis using advanced methodologies, including linear and logistic regression and forecasting models
Strong communication skills and ability to build relationships and influence stakeholders across functional boundaries and globally
Ability to make judgments under tight deadlines and competing priorities
Experience driving collaboration of cross-functional teams, coordinating effectively, and inspiring others
Experience communicating effectively via various formats, time zones and audiences, including within operations teams and across with key stakeholders and senior leadership
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.