Data Entry

Oversee end-to-end data infrastructure, define ingestion requirements, optimize workflows for health systems, and evaluate technologies to enhance data efficiency and support diverse downstream use cases in clinical research.

Lead the design and delivery of data solutions, enhance application usability, manage a product team, and collaborate on strategic plans to evolve healthcare data capabilities and meet user needs effectively.

Transform raw data into actionable insights, partner with stakeholders to guide strategy, and develop reliable data infrastructure while ensuring quality and clarity in reporting to support informed decision-making across the organization.

Design and maintain scalable data pipelines while collaborating with product teams to ensure reliable data delivery. Mentor junior engineers and establish best practices to enhance data quality and support clinical research initiatives.

Design and maintain scalable data pipelines, implement data modeling best practices, drive data quality initiatives, and mentor junior engineers while collaborating with cross-functional teams to enhance data strategies and support clinical research.

Design and build scalable ETL/ELT processes, implement efficient data models, and own the data infrastructure while collaborating with teams to deliver data products that enhance decision-making and ensure data quality.

Develop and maintain ETL and data integration tools, create user-friendly reports and dashboards, innovate data processes, and provide technical support, while collaborating across teams to enhance data management and efficiency.

Provide comprehensive administrative support to senior executives by managing calendars, scheduling appointments, arranging travel, and preparing reports to enhance operational efficiency and streamline day-to-day tasks.

Design and develop data solutions for complex projects, create scalable data pipelines, and implement best practices for clean coding while leveraging cloud technologies and collaborating effectively within a multidisciplinary team.

Provide administrative support by managing calendars, handling communications, and coordinating logistics activities. Optimize processes for efficiency while ensuring timely delivery and effective collaboration with vendors and suppliers.

Lead cross-team data science initiatives, design and implement machine learning models, and communicate complex technical concepts to stakeholders. Foster a culture of continuous learning and mentor junior data scientists to elevate technical talent.

Collect, organize, and verify customer information through multiple channels. Process data, analyze data quality, and produce relevant reports. Good communication and logical thinking skills required.

Ensure marketing data accuracy and reliability by defining data quality strategies, implementing governance policies, and developing KPIs. Collaborate with marketing and IT teams to enhance data standards and empower ownership of data quality.

Design and implement data infrastructures, develop technical tools leveraging AI and machine learning, and establish processes for data management to support business requirements and ensure data integrity across systems.

Lead the development and execution of data product strategies, manage product lifecycles, enhance self-service capabilities, and collaborate cross-functionally to deliver exceptional data-driven insights and solutions for financial institutions.

Optimize the inbound marketing funnel by managing lifecycle stage transitions, defining MQL criteria, overseeing customer upsell processes, and monitoring funnel performance using advanced analytics and martech tools to drive revenue growth.

Lead innovation initiatives by coordinating across technical and business teams, developing analytical prototypes, and mentoring data scientists to enhance their skills and ensure high-quality analytical standards for product solutions.

Optimize practice management systems and workflows, enhance patient access processes, translate operational challenges into product requirements, and drive continuous improvement through data insights and technology integration to improve clinic...

Provide administrative and financial support for processing payments to investigative sites, ensuring adherence to regulations, managing refunds, and training junior team members while resolving payment-related issues and maintaining project timelines.

Design and optimize manufacturing processes to meet quality, cost, and delivery goals. Lead process development for new products, implement customer technical roadmaps, and analyze complex data to enhance product reliability and performance.

Own and scale the strategy for Network & Data Center services, develop market-ready offerings, and ensure delivery excellence while collaborating with leadership to drive growth and optimize performance metrics.

Collaborate with stakeholders to conduct gap assessments and execute data transformation roadmaps. Review data quality controls and oversee reconciliation while ensuring compliance with regulatory reporting standards. Drive operational efficiencies in...

Analyze business needs and define use cases for text analytics, design and deploy NLP models, and prepare text data within a Snowflake environment while ensuring effective documentation and knowledge transfer to internal teams.

Analyze complex datasets to identify actionable insights, develop predictive models for decision-making, and build dashboards to enhance data accessibility across teams while ensuring data quality and governance.

Lead the development of data models and integration solutions, mentor junior engineers, and collaborate with cross-functional teams to ensure high-quality, customer-focused data products that drive successful outcomes.

Define measurable metrics for business problems, conduct root cause analysis, present data-driven insights to stakeholders, and collaborate with cross-functional teams to enhance analytical practices and solutions.

Build and maintain data infrastructure for efficient data collection and storage. Develop ETL pipelines and ensure data quality, collaborating with teams to optimize data governance and provide training on data processes.

Design and implement scalable data pipelines for large data volumes, ensure data reliability through performance monitoring, and automate processes to enhance team efficiency while collaborating with various stakeholders to fulfill business needs.

Design and maintain scalable ETL/ELT pipelines, optimize data warehouse architecture for analytics, and ensure data integrity and accessibility while collaborating with business teams to meet data requirements effectively.

Collaborate with product teams to define analytics requirements, create scalable dashboards, and conduct deep-dive behavioral analyses, synthesizing data insights to enhance product strategy and user experience.

Develop and maintain data pipelines for player and marketing data, assist in machine learning model development, and collaborate with cross-functional teams to derive actionable insights that support decision-making and enhance player experience.

Design, develop, and implement Master Data Management solutions while writing complex queries and performing data analysis. Collaborate with teams to communicate technical concepts effectively and troubleshoot software incidents.

Lead the development and deployment of ML models to predict customer behavior, drive product insights using causal inference, and collaborate with engineering teams for scalable data pipelines and model deployment.

Manage complex data analytics and reporting activities, align data with visualization tools, and facilitate client needs while providing trade-off analyses on technical solutions to enhance operational effectiveness and support mission objectives.

Manage complex data analytics and reporting by utilizing various systems and tools. Facilitate client needs through gap analysis and recommend solutions, while ensuring compliance and quality standards in project deliverables.

Drive new business development by building and managing a pipeline of prospects, engaging key decision-makers, and successfully closing sales opportunities while maintaining high activity levels and accurate CRM updates.

Migrate data workflows to cloud platforms, design and maintain ETL pipelines, and ensure data integrity and accessibility while collaborating with analytics teams to deliver effective data solutions that meet business needs.

Lead custom analytics and modeling engagements, develop credit strategies and machine-learning models, evaluate alternative data sources, and deliver actionable insights to clients in the non-prime lending market.

Collaborate on large-scale modeling efforts, develop data science products by translating stakeholder needs, enhance existing codebases, and provide consulting on data engineering and analytics to improve efficiency and insights.

Lead a high-performing engineering team to modernize analytics platforms, drive AI-enabled product innovation, and enhance delivery quality while ensuring scalable architecture and collaboration across various departments.

Drive new business growth in the data center sector by managing key accounts, monitoring industry trends, and collaborating with teams to deliver comprehensive solutions while promoting ABB Motion products effectively.

Develop and maintain high-performance mobile applications using TypeScript and React Native. Collaborate with cross-functional teams to create intuitive user experiences while optimizing application performance and managing device-specific features.

Support benchmarking utility performance by managing Energy Star Portfolio Manager accounts, preparing energy models, and ensuring compliance with local ordinances while educating property teams and developing analysis tools for certification.

Manage the data engineering backlog, prioritize deliverables, and ensure timely data product alignment with business priorities while advocating for scalable, AI-ready data solutions and fostering a culture of continuous improvement across teams.

Maintain accurate practice management systems by updating insurance and claims information, prepare and submit clean claims, manage patient account payments, and investigate rejected claims to resolve issues efficiently.

Commission and test SCADA RTU systems, create and modify PLC programs, troubleshoot communication protocols, and support system integration to ensure reliable performance of critical infrastructure systems in energy projects.

Design and maintain data pipelines, develop scalable data models, implement robust processing systems, and ensure data quality standards while collaborating with cross-functional teams to deliver impactful data solutions.

Analyze extensive datasets to extract insights that drive business decisions, develop complex scripts and reports, and communicate findings to stakeholders, while managing multiple tasks and contributing to large-scale projects.

Lead data management and governance initiatives while overseeing a team of data engineers. Execute technical delivery by writing SQL and Python code, and ensure compliance with data handling standards in a fast-paced environment.

Lead the design and implementation of backend services and data pipelines, architect APIs for audience insights, and collaborate with frontend engineers to deliver impactful AI-enabled advertising technology.