Collaborate with product team to define KPIs and implement metric tracking systems. Design and analyze experiments to validate product hypotheses. Generate insights from data analyses and communicate findings to stakeholders.

An experienced Data Analyst is needed to lead and manage data analysis projects, create reports and visualizations, oversee data collection, and implement statistical models for an online community platform.

Collecting, synthesizing, and interpreting physician-level data to provide actionable insights. Creating reports and dashboards to visualize data trends. Analyzing data to identify areas of improvement and collaborating with cross-functional teams for data-driven improvements.

Design and modify reports based on customer requests, track report change requests, and provide support for data conversion and management. Advanced knowledge of SQL Server required. Communicate with stakeholders and manage personal queue of tasks.

Own and drive complex technical solutions, transform business requirements into technical requirements, facilitate data flow, develop cross-functional tools, mentor employees, and stay up to date with data analytics trends.

Partner with the business to consult on the performance of KPIs and utilize data to drive business outcomes. Convert analytics into actionable insights, create and manage reporting, and deliver performance insights to influence product roadmap.

Perform data cleaning, statistical analysis and produce reports for overdose surveillance data. Collaborate with external groups and provide data analytics support to the Overdose Data to Action program. Communicate technical information to a variety of audiences.

Curate and label data, review ML model output, find anomalies in large datasets, use spreadsheets for insights. 1+ year experience in data analytics and understanding of statistics required. Nice to have experience with ML, SQL, and data visualization.

Analyze data quality and provide insights to clients. Develop modular code and refine data queries for data analysis and visualization. Integrate and validate data from multiple systems. Create reports and dashboards to monitor metrics and KPIs.

"Visualize data, automate processes, and analyze data to provide insights. Work with stakeholders to gather requirements and design interactive visualizations. Stay updated on emerging trends and improve data management practices."

Uncover business questions, develop hypotheses, analyze product metrics, support iterative cycles of build, measure, and learn, improve analytics practice, collaborate with cross-functional teams, and deliver actionable insights to drive product improvements.

Analyze data to identify trends and areas for improvement based on business and operational goals. Drive business and technical requirements for improving data analysis. Present findings with clear communication of complex ideas.

Research therapeutic areas, build market definitions, perform data analysis, manage projects, derive insights, collaborate with cross-functional teams, and present results to customers. 4+ years of healthcare data experience and expertise in SQL required.

Conduct data analysis on trends and behavior within Customer Experience data. Perform analytical projects to solve critical problems and define churn metrics for the Customer Experience Department.

Analyze data requirements, research BI views, validate extracts, create data design documentation, and monitor extraction jobs. Must have experience in Oracle ERP and reporting, dimensional modeling, relational database schemas, data analysis, communication skills, stakeholder management, and Agile methodologies.

Build, maintain, and optimize research tools and databases. Coordinate database updates and ensure data quality. Develop innovative techniques in R and other platforms for research methodology and data visualization. Research data sources and analyze their usefulness for campaign goals.

Analyze voter registration data, write accessible data reports, conduct legal/policy research, expand current data, build relationships with partners, and support work across the organization. Proficiency in Python or R and critical thinking skills required.

Craft insights and analytics to drive business decisions, lead multi-functional projects, partner with stakeholders, and use data to understand member interactions. Expertise in SQL, R or Python, and stakeholder management required.

Develop data solutions, analyze business trends, and ensure data quality. Partner with business for consultancy, develop tools and metrics, and deliver insights. Improve processes via forecasts and strategic plans, enforce data quality principles, and report on data quality.

Collaborate with industry experts to develop cutting-edge analytics solutions. Analyze and understand data, perform data management tasks, and conduct business analysis. Collaborate with cross-functional teams and enhance knowledge of data analysis techniques.

Collaborate with stakeholders to understand business needs and data requirements. Write complex SQL queries to analyze data and create reports and visualizations. Liaise between technical and non-technical teams to ensure alignment with business objectives.

Craft and manage comprehensive dashboards and reports. Work closely with stakeholders to understand and meet their data requirements. Use SQL expertise to run ad hoc queries and provide data-driven insights.

Manage and refine data from multiple sources. Translate complex data into actionable insights and identify data trends. Inform product strategy with data-driven insights and analyze usage data. Produce dashboards and visual reports on product KPIs and performance.

Analyze sales reports, develop Excel worksheets, and produce sales projections. Partner with stakeholders to understand sales incentive programs and work on ad hoc requests. Ensure data accuracy and support the redesign of incentive programs.

Build and manage analytical tools in Power BI to track payments and spend flows. Design analytics playbooks and collaborate with internal teams to resolve bottlenecks. Maintain and update critical dashboards and support leadership reporting on operational analytics.

Exploit large-scale data warehouses, create dashboards and reports using data visualization tools, present findings to guide business decisions, and collaborate with engineers and product managers to design new features and measure their performance.

Analyzing consumer-generated content, identifying trends, and developing insights and recommendations. Creating visualizations, developing technical requirements, and reporting findings to clients. Requires a BS in a quantitative discipline and experience with SQL and statistical analysis.

Analyze internal and external data sources, develop business understanding, and compare data to help with business decisions and operational efficiencies. Combine data from disparate sources and automate repeatable processes.

"Analyze digital marketing, web event, sales, and coaching data to provide strategic insights. Use multiple data sources for advanced analytics. Collaborate with business and data science teams to identify opportunities for deep analytics. Create visualizations and interactive dashboards."

Own and maintain the entire data warehouse, work in a cross-functional team, monitor and analyze A/B tests, be the voice of data, actively establish processes, help and teach others throughout the company, present findings and insights.

Drive key business and product initiatives through actionable insights, own data analysis and visualization in a core area of the business, work with non-technical functions to leverage data for their goals.

Analyze product performance and provide actionable insights to cross-functional teams. Develop reports and dashboards to track key business metrics. Conduct experiments and tests, and present recommendations to senior leadership.

An experienced Data Analyst is needed to partner with cross-functional teams, conduct analyses, develop reports and dashboards, execute experimentation roadmaps, and share insights with leadership to accelerate decision-making.

Data Analyst with 6+ years of experience in BI engineering, data modeling, and software engineering. Must have SQL and PL/SQL knowledge, as well as experience with Google Cloud and cloud-based technologies. Advanced English is a must. This is a hybrid position in CDMX.

Conduct data collection and analysis using SQL and Python. Automate data collection and aggregation processes to build reporting dashboards. Collaborate with cross-functional teams to provide business insights and improve product.

Create data models, train AI bots, analyze user conversations, and maintain AI model quality. 3+ years of experience, scripting knowledge, and a Bachelor's degree required. Join a fast-growing team defining the future of AI for customer experience.

Analyze data, conduct media effectiveness and ROI analysis, generate quantitative and qualitative consumer and market research, work with account teams, and join strategic discussions with clients. Strong organizational and SQL skills required.

As a Senior Data Analyst, you'll be responsible for understanding business needs, providing insights and recommendations, generating insights from product and customer behavior, managing stakeholder expectations, and mentoring junior data analysts.

Seeking Senior Data Analyst to support Growth Team with data-driven insights, analysis, recommendations, report accuracy. Requires advanced SQL and Python skills, proficiency in data visualization and analytics tools, and strong communication skills.

Develop, implement and maintain analytic systems. Conduct data analysis to derive business insights. Design scalable data models and pipelines. Collaborate with stakeholders to prioritize data-driven decision-making.

Conduct exploratory data analysis, deliver actionable insights, and influence product roadmaps. Analyze and query high-volume data, mentor junior team members, and enhance data visualization capabilities.

A Senior Financial Data Analyst is needed to collaborate with cross-functional teams, extract and manipulate large datasets, develop interactive dashboards using Tableau, and design financial models within Adaptive Insights.

Develop and optimize financial analytics tools and dashboards. Lead analytics projects for digital transformation initiatives. Automate data-related workflows and uphold data governance standards. Collaborate with stakeholders and ensure data integrity and compliance.

Analyze data pipelines, develop greenfield data services, and architect innovative features for ML platform. Mentor and coach data engineering best practices. Collaborate with cross-functional teams for productization and lead innovation.

Gather and analyze data, create business tools, present to senior management, manage projects, make recommendations. Develop and deliver vendor spend analysis, maintain controls, measure effectiveness, recommend new reporting.

Analyze large, complex data sets to address strategic and operational business questions. Optimize user monetization and provide recommendations based on user segments and behavior. Generate insights, shape features, and drive improvements through data analysis.

Prioritize, schedule, and pace sponsored content; build and maintain ETL pipelines; perform pricing calculations and demand projections. Use SQL and Python to analyze user engagement and inform critical business decisions. Salary range $110k-$150k.

Gather and analyze data, create and maintain business management tools, present information and recommendations to senior management, manage projects, and make process enhancement recommendations for the Third-Party Management function.

Partner with cross-functional teams to identify efficiency opportunities, automate processes, and solve complex problems using data. Write advanced SQL queries, build dashboards, and present key findings to senior leadership.