Data Entry

Analyze data to develop actionable insights, create visual content, collaborate with stakeholders to clarify requirements, and maintain analytic models to enhance organizational efficiency and support threat mitigation initiatives.

Lead a team to deliver business insights using data science techniques. Develop and train data scientists. Influence company strategies. Innovate methodologies and tools to advance organizational capabilities.

Provide trauma-informed therapy and support services to individuals affected by domestic violence. Conduct assessments, develop treatment plans, and advocate for clients while maintaining comprehensive documentation and collaborating with community...

Develop and maintain operational data architecture, operationalize data pipelines for analytics, and lead cross-functional collaboration to ensure the accuracy and reliability of dashboards and reporting for informed decision-making.

Drive end-to-end automation of data ingestion and transformation, establish testing practices, collaborate with stakeholders on requirements, and provide mentorship on scalable data analytics solutions to enhance compliance and regulatory reporting.

Own reporting and analysis for upper funnel programs, develop frameworks to assess brand campaign effectiveness, and design experiments to measure engagement and audience reach across various marketing initiatives.

Collaborate with cross-functional teams to develop predictive models and business intelligence solutions. Lead analytic client engagements, delivering insights and recommendations through compelling presentations while identifying strategies for...

Lead a high-performing engineering team focused on data acquisition, pioneer AI-assisted development workflows, and drive the execution of a scalable technical roadmap while ensuring best practices in software engineering and data governance.

Plan and execute scalable technology projects focusing on data integrity, security, and performance. Provide technical expertise on complex problems while engaging in team planning and prioritization to balance immediate and long-term objectives.

Operate, maintain, and enhance data streaming systems, optimize data access layers, and design robust APIs for seamless integration, ensuring high performance and efficiency in data management for customer-facing applications.

Design and establish enterprise data models, define data domains based on business needs, and ensure consistent data designs across solutions while optimizing performance for data models in a collaborative environment.

Design and develop data models to transform requirements into efficient structures, collaborate with stakeholders for data integration, and ensure data quality and compliance while optimizing performance for informed decision-making.

Develop advanced analytical solutions to support data-driven decision-making, translate complex data into actionable insights, and maintain KPI governance while collaborating with cross-functional teams to standardize analytical practices.

Lead analytics projects by researching and interpreting data to deliver insights. Collaborate with cross-functional teams to develop dashboards and enhance analytics tools, driving informed decision-making and business integration.

Oversee data center operations, manage inventory and logistics, coordinate vendor relationships, and conduct capacity planning to ensure efficient and reliable data center environments while maintaining compliance and safety standards.

Own the roadmap for applied ML capabilities, define and deliver a DS/ML platform, translate customer workflows into ML problem statements, and drive evaluation and experimentation to ensure measurable business impact.

Support Account Managers by preparing meeting agendas, coordinating creative briefs, and managing client communication. Assist with inventory tracking and monitor account performance to enhance client service and project efficiency.

Support the management of credit and non-credit data domains, monitor data quality, assist in data schema design, and collaborate with stakeholders to enhance data usability and accessibility for business priorities.

Lead the development of data science frameworks to enhance marketplace efficiency and customer experience, while mentoring teams and driving architecture decisions for scalable machine learning systems that impact business outcomes.

Design and maintain scalable ETL pipelines using Python and Airflow, develop serverless workflows with AWS Lambda, and collaborate with teams to ensure high-quality data management and governance standards.

Develop and maintain fraud detection models, research new fraud types, and build foundational modeling for financial risk products while writing production-ready code for real-time decision making and collaborating 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.

Define and implement a technology roadmap, architect a unified data ecosystem, and lead a high-performing team to enhance audience understanding and optimize media strategies through advanced measurement and AI solutions.

Lead the implementation of Salesforce Data Cloud, design scalable solutions, provide technical support to offshore teams, and develop data-driven strategies for audience targeting and personalized customer journeys.

Manage large-scale data science strategies for fraud prevention, oversee platform performance, lead team mentoring, and implement bot mitigation strategies to enhance user experience and financial impact.

Lead client reporting and measurement deliverables, ensuring accuracy and alignment with goals. Build strong client relationships and translate complex data into actionable insights while collaborating with internal teams to enhance reporting...

Design and implement automation for AI solutions, architect reliable systems, deploy ML models into production, and mentor junior engineers while ensuring alignment with project goals and data requirements.

Analyze large datasets to derive insights and ensure data quality. Collaborate with quantitative researchers and engineers to enhance trading strategies through robust data pipelines and validation metrics. Implement solutions for improved data...

Lead a high-performing team while ensuring data accuracy and integrity in investment accounting. Design scalable systems, implement governance frameworks, and drive business intelligence solutions for effective reporting and compliance.

Manage client projects, analyze operations data, implement transportation solutions, and drive continuous improvements through data analysis and performance reporting to enhance client outcomes and operational efficiency.

Lead end-to-end EDI project implementations, ensuring accurate configuration and testing of ANSI X12-834 eligibility files. Serve as a primary contact for eligibility questions and troubleshoot complex data issues with stakeholders.

Lead the development of a scalable data platform, collaborate with cross-functional teams to deliver cloud-based solutions, and mentor team members while driving continuous improvement in engineering practices and methodologies.

Lead the data science function by setting strategic direction, designing predictive models, and collaborating with cross-functional teams to enhance decision-making and strengthen organizational performance through data-driven insights.

Lead data collection and asset validation projects, manage field teams, ensure quality assurance, and serve as the primary client liaison while tracking project timelines and contributing to business development strategies.

Lead the design and implementation of scalable web applications that operationalize data science products, define technical architecture, and collaborate with stakeholders to create intuitive applications that meet business objectives.

Serve as the main point for administrative activities, provide scheduling support, write and edit project documents, and prepare reports to ensure efficient project management and documentation processes.

Utilize data science expertise to analyze complex data sets, develop algorithms, and create automated analytic software, while collaborating with clients to provide actionable insights for informed decision-making across various sectors.

Manage day-to-day CRM administration and workflows, ensure data integrity across revenue systems, and optimize lead and account data models to support efficient go-to-market execution and cross-functional collaboration.

Manage the lifecycle of credit and non-credit data domains, ensuring data quality and alignment with business objectives. Design data schemas, monitor performance, and enhance data assets to maximize organizational value.

Enhance data analytics capabilities by designing solutions, collaborating with business units, and creating data models while promoting analytics standards and ensuring data accuracy for effective reporting and analysis.

Serve as the primary technical expert for data protection solutions, lead discovery to align business goals with practical solutions, and design tailored demos to showcase value in customer environments.

Lead the development of advanced data science models, ensure data quality, collaborate with stakeholders, and mentor junior data scientists to drive best practices and enhance credit risk management strategies.

Design and maintain scalable data pipelines and ETL workflows while developing high-quality backend applications. Collaborate with cross-functional teams to deliver data-driven solutions and ensure data quality through automated validation frameworks.

Lead technology M&A due diligence projects, collaborate with cross-functional teams, assess technology landscapes for strategic recommendations, and formulate investment summaries to enhance business and data strategies.

Develop and maintain scalable data applications, create ETL workflows for analytics, and collaborate with cross-functional teams to convert diverse data into actionable insights for impactful missions.

Define and own the multi-year product strategy for the data lake, manage stakeholder expectations, and ensure data quality and governance while collaborating with cross-functional teams to drive effective data utilization.

Lead advanced measurement and analytics initiatives, support Marketing Mix Modeling engagements, design bespoke analytical frameworks, and foster client partnerships while mentoring junior team members in a dynamic analytical environment.

Design and implement scalable data models, build automated ETL jobs for large data processing, collaborate with teams to solve customer-impacting problems, and mentor junior engineers while enhancing operational efficiency.

Collaborate with cross-functional teams for M&A tech due diligence, assess enterprise technology landscapes, formulate strategic investment summaries, and provide leadership in data engineering and AI strategy to drive impactful business outcomes.

Lead the oversight and execution of gift processing and data entry, ensuring compliance with IRS guidelines. Collaborate with cross-functional teams to maintain data integrity and provide training on complex systems and processes.