Job Search Results

Design and develop data visualization solutions, maintain dashboards for decision-making, lead data cleaning efforts, and identify opportunities for workflow optimization and automation to enhance data handling and analytics.

Support and maintain workforce reports and dashboards while collaborating with stakeholders to understand analytics needs. Troubleshoot reporting issues and develop reporting solutions to enhance data accuracy and quality.

Analyze current processes and data flows, develop data mapping artifacts, and validate business requirements to support modernization decisions and architecture alignment in a large-scale software development program.

Develop and enhance analytics dashboards, manage ETL processes for data extraction and transformation, generate internal reports for business analysis, and conduct A/B testing to optimize product performance.

Analyze market data to identify pricing trends in semiconductor materials, ensure data quality and integrity, document findings for knowledge transfer, and optimize data pipelines for enhanced analytics efficiency.

Analyze market data to identify pricing trends in semiconductor materials, ensure data quality and integrity, document analyses for knowledge transfer, and optimize data pipelines while collaborating with cross-functional teams.

Analyze complex datasets using SQL and Python, identify trends and anomalies, and create actionable dashboards and reports to support decision-making across teams while ensuring data quality and clear communication of findings.

Develop data analysis plans for clinical trials, apply statistical methods to identify trends, create visualizations to communicate findings, and partner with team members to provide insights that inform decisions.

Develop and enhance client reports using reporting tools, write SQL queries to support reporting needs, and analyze complex data sets to provide actionable insights while collaborating with internal teams to improve reporting processes.

Partner with pharmaceutical clients to understand objectives and improve program performance. Conduct analyses on patient access and operational effectiveness, translating findings into actionable insights and recommendations for stakeholders.

Analyze and derive insights from data, collaborate on large-scale research projects, write reports and newsletters, and deliver custom insights to clients while supporting sales efforts with prospective clients and trials.

Provide technical support in evaluating data elements and business rules, ensure clarity in data definitions, and collect business requirements to develop data strategies and policies that meet organizational information needs.

Analyze and evaluate public health research data, produce comprehensive reports to guide decision-making, and provide expert consultation on complex issues while utilizing advanced data analysis tools and methodologies.

Analyze business processes and systems, implement data governance best practices, develop data collection systems, and conduct data quality analysis to provide actionable insights and recommendations for informed decision-making.

Manage and maintain accurate data sets, support data quality checks, assist in creating reports and dashboards, and help translate data insights for non-technical audiences to facilitate informed decision-making.

Manage and maintain master data quality, train team members on data policies, analyze processes for efficiencies, and support cross-functional projects as a subject matter expert within the organization.

Validate and analyze data from diverse systems, communicate findings to customers, track project progress with stakeholders, and perform data extraction using SQL to support reporting needs and troubleshoot issues.

Analyze and transform data using SQL, establish best practices for metrics and data integrity, and collaborate with experts to create scalable analytics solutions and visualizations for business insights and decision-making.

Design and manage business-critical metrics, create reusable SQL models for data integrity, and collaborate with stakeholders to transform ambiguous queries into actionable insights, ensuring reliable data for informed decision-making.

Design and conduct studies on product features, analyze user data to identify trends, synthesize findings into visualizations and reports, and provide actionable insights for product decisions and enhancements.

Translate business questions into actionable insights by collaborating with cross-functional teams, build and maintain analytics data models using SQL, and explore data to uncover trends and anomalies for informed decision-making.

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.

Develop and manage data policies, standards, and processes. Ensure high quality of key people profiles. Create data quality reports and updates. Remediate identified gaps using both manual and automated solutions.

Analyze complex market data to identify pricing trends in semiconductor materials, ensure data quality and integrity, and optimize data pipelines while documenting findings for effective knowledge transfer within the team.

Build and maintain client-facing dashboards, optimize SQL queries for data analysis, and deliver insightful reports while collaborating with stakeholders to ensure accurate metrics and identify trends for informed decision-making.

Develop and maintain software solutions and data workflows using Python and SQL. Collaborate with stakeholders to translate study requirements into technical solutions while ensuring data integrity and quality throughout the research lifecycle.

Analyze and validate institutional data to support reporting and analytics. Create dashboards for leadership and assist in predictive modeling and data analysis projects, ensuring accuracy and consistency in reporting results.

Analyze large datasets using advanced SQL and BI tools to create dashboards and executive reports. Interpret data to define KPIs and visualize trends, while collaborating with data engineers on metric validation and dashboard performance.

Collaborate with stakeholders to translate business requirements into data solutions, design efficient data integrations, document metadata for compliance, and validate data quality through test case development.

Collect and analyze data from 360-degree assessments to identify trends and areas for improvement. Prepare reports and collaborate with stakeholders to support talent development initiatives within the organization.

Build and optimize data models, deliver actionable insights through reporting and forecasting, design and validate experiments for product initiatives, and communicate analytics effectively to stakeholders for informed decision-making.

Conduct data analyses on laboratory personnel systems and STEM outreach programs, process data for accuracy, develop visual representations, and refine data collection methods to inform policy decisions.

Conduct in-depth data analysis to identify trends and insights, develop performance metrics, and assist in creating executive presentations to enhance organizational effectiveness and decision-making processes.

Support disaster recovery programs by conducting damage assessments, developing cost estimates for infrastructure projects, and collaborating with multidisciplinary teams to ensure project compliance and funding eligibility.

Collaborate with business teams to clarify goals, conduct end-to-end analysis, and create reliable datasets and dashboards. Develop domain knowledge to enhance data interpretation and support informed decision-making across various departments.

Develop and manage data policies, standards, and processes. Proactively detect, correct, and prevent invalid data values. Ensure high quality of key people profiles. Develop data quality metrics and remediate identified gaps.

Design and maintain data pipelines while ensuring data integrity. Collaborate with IT for seamless data integration and develop machine learning models to generate actionable insights for optimizing renewable energy operations.

Analyze national health datasets, develop statistical plans, clean and manage survey data, and create visualizations for reports. Interpret findings and conduct literature reviews to support Brain Health projects.

Support data mining, preparation, and reporting while conducting analyses and assessments. Document results and develop solutions, collaborating with data scientists to implement data models and provide database support for customer solutions.

Collect, organize, and analyze data to support business decisions. Analyze trends and business performance. Prepare visualizations and reports for stakeholders. Collaborate with business units to define reporting needs and ensure data accuracy.

Analyze large datasets, develop visualization dashboards, and communicate findings to stakeholders. Collaborate with cross-functional teams to address complex data issues and build technical solutions.

Analyze large datasets using SQL and Python, develop data visualization dashboards, and collaborate with cross-functional teams to understand business needs and deliver impactful solutions to stakeholders.

Analyze data to identify trends and opportunities, develop dashboards and reports for insights, automate reporting using SQL and Python, and partner with stakeholders to deliver data-driven solutions.

Advise clients on data management and develop strategies to maximize data value. Implement data governance frameworks and support data integration projects while providing insights for informed business decisions.

Analyze and visualize data to inform product and business performance, develop robust data models, and build self-service data tools, collaborating with stakeholders to enhance user experience and operational efficiency.

Analyze large datasets to uncover insights, present findings to stakeholders, collaborate with teams to meet strategic goals, and design custom dashboards to track key metrics and support business decisions.

Analyze complex datasets to identify trends and improve data visualization techniques. Collaborate with stakeholders to ensure quality reporting and drive process improvements, while communicating findings effectively to support decision-making.

Generate actionable insights from complex datasets, collaborate with stakeholders to shape strategic decisions, and develop measurement frameworks to evaluate business changes, driving a data-driven culture across teams.

Identify data-driven improvement opportunities, collaborate on data analysis and reporting, structure large datasets for insights, and lead automation of data workflows to enhance overall data management processes.