<p>The Database Engineer will design, develop, and maintain database solutions that meet the needs of our business and clients. You will be responsible for ensuring the performance, availability, and security of our database systems while collaborating with software engineers, data analysts, and IT teams.</p><p> </p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, implement, and maintain highly available and scalable database systems (e.g., SQL, NoSQL).</li><li>Optimize database performance through indexing, query optimization, and capacity planning.</li><li>Create and manage database schemas, tables, stored procedures, and triggers.</li><li>Develop and maintain ETL (Extract, Transform, Load) processes for data integration.</li><li>Ensure data integrity and consistency across distributed systems.</li><li>Monitor database performance and troubleshoot issues to ensure minimal downtime.</li><li>Collaborate with software development teams to design database architectures that align with application requirements.</li><li>Implement data security best practices, including encryption, backups, and access controls.</li><li>Stay updated on emerging database technologies and recommend solutions to enhance efficiency.</li><li>Document database configurations, processes, and best practices for internal knowledge sharing.</li></ul><p> </p>
<p><strong>Position Summary:</strong></p><ul><li>We are looking for a Data Operations Engineer to support and oversee the automated data‑pipeline environment built on AWS. This position bridges data engineering and customer operations, ensuring that incoming datasets are processed accurately, consistently, and securely within established ingestion and transformation frameworks.</li><li>Key responsibilities include monitoring automated workflows, troubleshooting processing failures, validating data quality, and helping onboard new customers by aligning their data formats to a standardized internal model.</li><li>The role requires strong proficiency in SQL and Python, practical experience with AWS services, and the ability to communicate effectively with external customers when data issues arise.</li></ul><p><strong>Responsibilities:</strong></p><p><strong>Data Pipeline Monitoring & Operations:</strong></p><ul><li>Monitor automated batch and streaming data pipelines in AWS</li><li>Identify, troubleshoot, and resolve data processing failures</li><li>Investigate file‑level errors, schema mismatches, and transformation issues</li><li>Perform root‑cause analysis and document resolutions</li><li>Ensure data integrity, completeness, and timeliness across environments</li><li>Escalate architectural or systemic issues to the Data Engineering team</li></ul><p><strong>Customer Data Onboarding & Implementation:</strong></p><ul><li>Collaborate directly with customers to understand their file formats and data structures</li><li>Create and maintain mapping templates to align customer data to a normalized data model</li><li>Validate sample files and run tests on ingestion workflows</li><li>Configure ingestion parameters within predefined frameworks</li><li>Support customer go‑live processes and initial data processing cycles</li></ul><p><strong>Data Quality & Continuous Improvement:</strong></p><ul><li>Write SQL queries to validate data accuracy and research anomalies</li><li>Develop lightweight Python scripts for validation, transformation checks, or automation tasks</li><li>Improve monitoring processes, internal documentation, and operational playbooks</li><li>Work with engineering teams to strengthen platform reliability and observability</li></ul><p><strong>Customer & Cross‑Functional Collaboration:</strong></p><ul><li>Communicate clearly with customers regarding file issues or data discrepancies</li><li>Partner with internal teams including Data Engineering, Product, and Support</li><li>Provide feedback to enhance scalability, resilience, and overall platform performance</li></ul>
We are looking for an experienced Lead Data Engineer to oversee the design, implementation, and management of advanced data infrastructure in Houston, Texas. This role requires expertise in architecting scalable solutions, optimizing data pipelines, and ensuring data quality to support analytics, machine learning, and real-time processing. The ideal candidate will have a deep understanding of Lakehouse architecture and Medallion design principles to deliver robust and governed data solutions.<br><br>Responsibilities:<br>• Develop and implement scalable data pipelines to ingest, process, and store large datasets using tools such as Apache Spark, Hadoop, and Kafka.<br>• Utilize cloud platforms like AWS or Azure to manage data storage and processing, leveraging services such as S3, Lambda, and Azure Data Lake.<br>• Design and operationalize data architecture following Medallion patterns to ensure data usability and quality across Bronze, Silver, and Gold layers.<br>• Build and optimize data models and storage solutions, including Databricks Lakehouses, to support analytical and operational needs.<br>• Automate data workflows using tools like Apache Airflow and Fivetran to streamline integration and improve efficiency.<br>• Lead initiatives to establish best practices in data management, facilitating knowledge sharing and collaboration across technical and business teams.<br>• Collaborate with data scientists to provide infrastructure and tools for complex analytical models, using programming languages like Python or R.<br>• Implement and enforce data governance policies, including encryption, masking, and access controls, within cloud environments.<br>• Monitor and troubleshoot data pipelines for performance issues, applying tuning techniques to enhance throughput and reliability.<br>• Stay updated with emerging technologies in data engineering and advocate for improvements to the organization's data systems.
<p>Our client is seeking a Data Scientist II – Generative AI to join a cutting-edge team focused on building scalable, production-ready AI solutions that transform business workflows and deliver measurable impact across global operations. This role is ideal for professionals passionate about leveraging Generative AI technologies, creating intelligent agents, and driving innovation at scale.</p><p><br></p><p>You will design and implement GenAI-powered agents that streamline internal processes, enhance productivity, and support business development initiatives. Responsibilities include developing robust prompt engineering frameworks, building RAG pipelines, and converting prototypes into production-ready solutions. You’ll collaborate closely with engineering and business teams to ensure solutions meet diverse client needs and are optimized for global deployment.</p><p><br></p><p>Key projects include extending the company’s GPT platform, creating AI agents that improve efficiencies for RFP development, onboarding materials, and SOW requirements. Success in this role means quickly ramping up on backlog projects, delivering high-priority initiatives, and staying ahead of emerging GenAI frameworks to continuously advance internal AI capabilities.</p>
<p>We are seeking a talented and motivated Python Data Engineer to join our global team. In this role, you will be instrumental in expanding and optimizing our data assets to enhance analytical capabilities across the organization. You will collaborate closely with traders, analysts, researchers, and data scientists to gather requirements and deliver scalable data solutions that support critical business functions.</p><p><br></p><p>Responsibilities</p><ul><li>Develop modular and reusable Python components to connect external data sources with internal systems and databases.</li><li>Work directly with business stakeholders to translate analytical requirements into technical implementations.</li><li>Ensure the integrity and maintainability of the central Python codebase by adhering to existing design standards and best practices.</li><li>Maintain and improve the in-house Python ETL toolkit, contributing to the standardization and consolidation of data engineering workflows.</li><li>Partner with global team members to ensure efficient coordination and delivery.</li><li>Actively participate in internal Python development community and support ongoing business development initiatives with technical expertise.</li></ul>
We are looking for a skilled Data Analytics Engineer with deep expertise in Power BI to join our team in Ankeny, Iowa. In this role, you will design, optimize, and manage semantic data models while ensuring the seamless performance of business intelligence tools. Your contributions will help drive data-driven decision-making across the organization.<br><br>Responsibilities:<br>• Design and implement semantic data models, including dimensional modeling and star schemas, to support business intelligence needs.<br>• Develop and optimize Power BI reports and dashboards, ensuring high performance and efficient query execution.<br>• Utilize Power Query (M) to transform and manipulate data for reporting purposes.<br>• Configure and enforce row-level security within Power BI to safeguard sensitive data.<br>• Conduct performance tuning for Power BI, including query plan optimization and refresh strategies.<br>• Collaborate with stakeholders to understand analytical requirements and translate them into actionable insights.<br>• Leverage tools such as Tabular Editor and deployment pipelines (Azure DevOps, GitHub) to streamline BI asset management.<br>• Work with cloud-based data platforms, including Databricks, Snowflake, or BigQuery, to support lakehouse architectures.<br>• Maintain adherence to enterprise BI governance practices and ensure scalable solutions for large datasets.<br>• Implement CI/CD patterns to manage semantic models and facilitate environment promotions.
<p><strong>Data Reporting Analyst</strong></p><p>We are seeking a Data Reporting Analyst to support business reporting and data visualization initiatives. This role will focus on building and maintaining dashboards that provide insight into operational performance, SLAs, and KPIs. The position is an ongoing contract with potential for conversion and follows a hybrid work schedule.</p><p><strong>Responsibilities</strong></p><ul><li>Design, develop, and maintain Power BI dashboards to support business and IT reporting needs</li><li>Analyze and interpret data to track SLAs, KPIs, and operational performance</li><li>Partner closely with the IT Director to review trends, metrics, and reporting requirements</li><li>Ensure data accuracy, consistency, and usability across reports and dashboards</li><li>Support ongoing reporting enhancements and ad-hoc data analysis requests</li></ul><p><br></p>
<p><strong>Data Scientist III (Senior)</strong></p><p><strong>Location: </strong>Hybrid Columbus, OH </p><p><strong>Service Type:</strong> 13 Week Contract to Hire </p><p><strong>Pay: </strong>Available on W2 Basis </p><p><strong>Job Summary</strong></p><p>A leading financial services organization is seeking a skilled and data‑driven <strong>Senior Data Scientist</strong> to join its Enterprise Analytics team. This role supports the company’s growth strategy by delivering data‑driven insights and uncovering opportunities that enhance customer experience and value delivery.</p><p>The Senior Data Scientist will partner closely with business stakeholders using a consultative approach to analyze customer, product, channel, and digital data. This role focuses on translating complex analytical findings into actionable, intuitive insights that guide strategic decision‑making. The position requires strong technical expertise, clear communication skills, and a passion for optimization, data storytelling, and visualization.</p><p>This is a highly visible role with the opportunity to collaborate across teams such as Product, Marketing, Finance, Data, and senior leadership, while contributing to initiatives that shape enterprise‑level strategy.</p><p><strong>Team Overview</strong></p><p>This position sits within an Enterprise Data & Analytics organization composed of analytics and data science professionals experienced with tools such as <strong>R, Python, SAS, SQL, Tableau, and Adobe Analytics/Target</strong>. The team primarily supports Digital and Omnichannel initiatives but frequently partners across the organization, including Product, Marketing, Consumer Sales and Operations, Business and Commercial Banking, Private Client, Payments, and IT.</p><p>The team operates within an Agile framework and supports projects across the full lifecycle—from ideation through delivery—on large, high‑impact initiatives. The environment is fast‑paced and collaborative, offering opportunities to influence both individual projects and broader organizational direction.</p><p><strong> Key Responsibilities</strong></p><ul><li>Apply advanced analytics methods to extract value from complex business data</li><li>Design and execute large‑scale experiments and build data‑driven models to address business questions</li><li>Research and evaluate emerging techniques and tools in machine learning, deep learning, and artificial intelligence</li><li>Define data and modeling requirements to train and evolve predictive and deep learning models</li><li>Present data‑driven insights and recommendations to influence product and business teams</li><li>Partner with cross‑functional stakeholders to support data‑informed decision‑making</li><li>Perform additional duties as assigned</li></ul>
<p><strong>Data Scientist (Big Data) III – Contractor</strong></p><p><strong>Employment Type:</strong> 27 Week Contract, Potential for Extension or Conversion</p><p><strong>Location: </strong>MUST CURRENTLY RESIDE in Philadelphia Region</p><p><strong>Employment Type:</strong> Contract / Temporary</p><p><strong>Pay: </strong>Available on W2 </p><p><strong>Position Overview</strong></p><p>The Senior Data Scientist (Big Data) will support large‑scale data science initiatives by designing, developing, and deploying advanced analytical and machine learning solutions. This role collaborates closely with data engineers, analysts, software developers, and business stakeholders to deliver scalable, production‑ready data products that drive data‑informed decision making.</p><p>The successful candidate will apply statistical modeling, machine learning, and big data technologies to solve complex business problems, while also providing technical guidance and mentorship across project teams.</p><p><strong>Key Responsibilities</strong></p><ul><li>Lead complex, cross‑functional data science initiatives delivering solutions across multiple technologies and platforms.</li><li>Design, develop, and deploy data mining, statistical, machine learning, and graph‑based algorithms for large‑scale data sets.</li><li>Partner with data engineering teams to ensure proper implementation, performance, and operational use of analytical solutions.</li><li>Review and assess data science programs and models at an enterprise level to evaluate suitability, performance, and scalability.</li><li>Build and maintain scalable big‑data analytics solutions supporting accurate targeting, forecasting, and advanced insights.</li><li>Develop and support end‑to‑end machine learning pipelines, including data preparation, training, testing, validation, and deployment.</li><li>Establish performance metrics, monitoring, and evaluation procedures for models in production.</li><li>Translate complex analytical findings into clear, actionable insights for technical and non‑technical stakeholders.</li><li>Provide mentorship and technical guidance to junior team members.</li><li>Contribute to data strategy, methodology selection, and continuous improvement of analytics capabilities.</li><li>Support testing, validation, and user acceptance activities to ensure alignment with business requirements.</li><li>Perform additional related duties as needed to support analytics and data initiatives.</li></ul>
<p>We are looking for an experienced Director of Data & Analytics to oversee and optimize database systems and related technologies within our organization. The ideal candidate will bring expertise in Active Directory, Citrix technologies, and desktop administration, ensuring seamless operations and robust technical support. This role requires a proactive approach to managing computer hardware, remote desktop support, and system performance.</p><p><br></p><p>Responsibilities:</p><p>• Manage and maintain database systems to ensure optimal functionality and security.</p><p>• Oversee Active Directory configurations and troubleshoot related issues.</p><p>• Administer Citrix technologies to provide efficient and reliable access to applications.</p><p>• Supervise desktop administration tasks, including software installations and updates.</p><p>• Ensure the proper functioning of computer hardware through routine checks and timely repairs.</p><p>• Provide remote desktop support to address user issues and resolve connectivity challenges.</p><p>• Monitor system performance and implement improvements to enhance efficiency.</p><p>• Collaborate with IT teams to design and implement technology solutions that meet organizational needs.</p><p>• Develop and enforce policies for data management and system usage.</p><p>• Train and mentor team members to align with best practices and emerging technologies</p>
We are looking for a skilled Database Technology Manager to oversee and optimize our database systems and SharePoint platform. This role involves ensuring the reliability, security, and efficiency of data infrastructure while collaborating with teams to support business operations. The ideal candidate will have a strong technical background and a passion for delivering high-quality database solutions.<br><br>Responsibilities:<br>• Design, implement, and maintain database systems to ensure optimal performance and scalability.<br>• Manage and administer SharePoint platforms, ensuring seamless integration with organizational workflows.<br>• Monitor and troubleshoot database and SharePoint issues to maintain system availability and reliability.<br>• Collaborate with cross-functional teams to identify and address data-related requirements.<br>• Develop and enforce security protocols to protect sensitive information within databases.<br>• Provide technical support for desktop administration and remote desktop access.<br>• Oversee Active Directory configurations and ensure proper user access management.<br>• Evaluate and implement hardware solutions to support database and SharePoint operations.<br>• Stay updated on advancements in database technologies and recommend improvements.<br>• Document processes and procedures for database and SharePoint management.
We are looking for a skilled Database Administrator to join our team in Springdale, Arkansas. In this long-term contract position, you will play a key role in managing, optimizing, and maintaining data systems that support operational decision-making and reporting. This role involves collaborating with stakeholders to create effective database solutions and ensuring the integrity and performance of data pipelines.<br><br>Responsibilities:<br>• Develop, optimize, and maintain complex SQL queries and stored procedures for production and reporting databases.<br>• Design and implement ETL processes to extract, transform, and load data from various business systems.<br>• Work closely with stakeholders to translate business requirements into reliable and repeatable reporting solutions.<br>• Diagnose and resolve data integrity issues, performing root cause analysis to prevent recurrence.<br>• Enhance database performance through tuning and indexing strategies.<br>• Create and maintain documentation for data models, query logic, and reporting workflows.<br>• Assist in data migration efforts during system transitions, including support for SAP S/4HANA integration.<br>• Troubleshoot database-related issues and provide technical support to users.<br>• Collaborate with cross-functional teams to improve data accessibility and usability.<br>• Ensure compliance with data security and governance standards.
We are looking for a Database Administrator to support the reliability, security, and performance of critical database environments in Houston, Texas. This role focuses on managing SQL-based systems, improving database efficiency, and ensuring data platforms remain stable for day-to-day business operations. The ideal candidate brings strong technical depth across Microsoft SQL Server, Azure SQL Database, and MySQL, along with a proactive approach to optimization and issue resolution.<br><br>Responsibilities:<br>• Administer and maintain database platforms to ensure consistent availability, security, and operational stability.<br>• Monitor system health and investigate performance bottlenecks across Microsoft SQL Server, Azure SQL Database, and MySQL environments.<br>• Optimize queries, indexing strategies, and database configurations to improve response times and overall efficiency.<br>• Implement backup, recovery, and disaster preparedness procedures to protect business-critical data.<br>• Troubleshoot database incidents, identify root causes, and deliver timely resolutions to minimize service disruption.<br>• Support database deployments, upgrades, and configuration changes while maintaining data integrity and system reliability.<br>• Partner with application, infrastructure, and support teams to align database solutions with operational needs.<br>• Maintain documentation for database architecture, maintenance activities, and support procedures.<br>• Apply security best practices, including access management and compliance controls, across database environments.
We are looking for a skilled Database Administrator to join our team on a contract basis in Exton, Pennsylvania. In this role, you will play a key part in managing data systems, ensuring their accuracy and efficiency, and supporting system upgrades. This is an excellent opportunity for someone with strong attention to detail to contribute to critical database and IT initiatives.<br><br>Responsibilities:<br>• Analyze and assess existing data structures to ensure proper formatting and alignment with new systems.<br>• Support data migrations by validating, transforming, and integrating information into upgraded platforms.<br>• Perform database updates and assist with system implementation processes.<br>• Manage IT administrative tasks, including Microsoft 365 upgrades, hardware updates, and software installations.<br>• Enhance system security through two-factor authentication updates and implementation of cyber protection measures.<br>• Collaborate with teams to ensure seamless integration of data into new and existing systems.<br>• Troubleshoot and resolve database-related issues to maintain operational efficiency.<br>• Provide technical expertise during system upgrades and software implementations.<br>• Monitor and optimize database performance to meet organizational standards.
We are looking for a skilled Database Administrator to join our team in West Palm Beach, Florida. In this role, you will be responsible for managing, maintaining, and optimizing database systems to ensure their reliability and performance. The ideal candidate will have expertise in database technologies and a strong commitment to delivering efficient data solutions.<br><br>Responsibilities:<br>• Administer and maintain database systems to ensure data integrity and optimal performance.<br>• Monitor database activities to identify and resolve issues quickly.<br>• Develop and implement backup and recovery strategies to safeguard data.<br>• Optimize database queries and structures for improved efficiency.<br>• Collaborate with team members to design and implement database solutions.<br>• Perform regular updates and patches to keep database systems secure.<br>• Create detailed documentation for database configurations and processes.<br>• Analyze data trends to provide actionable insights for business operations.<br>• Ensure compliance with data security and privacy regulations.<br>• Provide technical support to resolve database-related issues.
<p>We are looking for a Database Administrator with a strong background in database administration to join our team in Cleveland, Ohio. In this role, you will be responsible for designing, implementing, and maintaining database systems to meet business needs while ensuring optimal performance and security. The ideal candidate will have a proven track record in managing complex database solutions and collaborating with stakeholders to deliver high-quality results.</p><p><br></p><p>Responsibilities:</p><p>• Assess database requirements by engaging with stakeholders and analyzing current and future application needs.</p><p>• Design and recommend database structures, security protocols, and backup and recovery strategies tailored to business objectives.</p><p>• Develop technical specifications for application upgrades and new implementations, ensuring alignment with project goals.</p><p>• Collaborate with project managers, system owners, and vendors to coordinate installation requirements and schedules.</p><p>• Create detailed project plans and timelines for database installations and software releases.</p><p>• Implement database systems based on technical requirements and business processes.</p><p>• Optimize database performance by configuring parameters and deploying updates for Oracle and Microsoft SQL Server.</p><p>• Monitor and fine-tune database systems to ensure reliability, efficiency, and scalability.</p><p>• Provide technical guidance and support for cloud-based database solutions, including AWS, Azure, and Google Cloud Platform.</p><p>• Stay up-to-date with advancements in database technologies to recommend improvements and innovative solutions.</p>
We are looking for an experienced Database Administrator to join our team in San Antonio, Texas. This is a contract position with the potential for a permanent role that requires strong expertise in managing and optimizing database systems, including Microsoft SQL Server and Oracle. The ideal candidate will play a key role in ensuring database performance, security, and reliability while actively contributing to team projects and development initiatives.<br><br>Responsibilities:<br>• Install, configure, upgrade, and troubleshoot Microsoft SQL Server and Oracle databases on both physical and virtual servers.<br>• Optimize database performance, ensuring high availability, scalability, and security.<br>• Manage multiple databases, monitoring hardware and software resource utilization to maintain efficiency.<br>• Document database procedures and provide training to technical teams and end users as required.<br>• Collaborate with project teams and work groups to support development efforts and implement database solutions.<br>• Perform database migrations and upgrades, ensuring a seamless transition and minimal disruption.<br>• Analyze system requirements and recommend database solutions to meet organizational needs.<br>• Conduct regular performance tuning and maintenance tasks to enhance database operations.<br>• Ensure compliance with data governance policies and industry best practices.<br>• Provide technical expertise for troubleshooting and resolving database-related issues.
<p>In this role you will lead a team of dedicated platform engineers as we strategically migrate our data assets to the cloud. As a Manager on the Data Platform Team you will report to the Director of Data Platforms and work closely with the Chief Data Office organization to influence the business and technology strategies for the company.</p><p><br></p><p>If you consider data as a strategic asset evangelize the value of good data and insights have deep understanding of data governance are an experienced thought leader in cloud data migrations and love building teams and mentoring talent this role is for you.</p><p><br></p><p>You will be responsible for leading a Data platform team for the bank including innovating on the platform to enable next-generation capabilities. You will participate in the definition of the strategic roadmap for data technology and be responsible for executing cloud data initiatives. You will partner with other Technology organizations and CDAO leads to architect and enable an effective data ecosystem.</p><p><br></p><p>Key Responsibilities</p><ul><li>Manage a team of colleagues and contractors providing resource allocation coaching and development.</li><li>Understand and translate the technical design from the Data Architect team into implemented physical data models that meet data governance enterprise architecture and business requirements for data warehousing. Manage data within the data warehouse to ensure efficiency of platform.</li><li>Work with operational data and data acquisition teams to manage incoming sources and the down-stream systems to understand and support their needs for reporting and analytics.</li><li>Collaborate with key partners to prototype and recommend accurate data solutions in embracing new technologies.</li><li>Remain abreast of technology developments and proactively align the future state goals with strategic business goals.</li><li>Develop and maintain a technology roadmap for the aligned data platforms including execution of strategic tactical and continuous improvement CI initiatives to further enhance the platform.</li><li>Maintain stable operations ensuring operational metrics are proactively managed and reported on.</li></ul>
We are looking for a skilled .Net/SQL Healthcare Data Analyst to join our team in Sarasota, Florida. This role is ideal for someone with a strong background in healthcare analytics and technical expertise in Python scripting, SQL Server, and reporting tools. The successful candidate will play a key role in analyzing data, gathering requirements, and supporting various IT functions.<br><br>Responsibilities:<br>• Analyze healthcare data to identify trends, insights, and actionable solutions.<br>• Develop and maintain SQL Server databases and ensure their optimal performance.<br>• Create and manage reports using SQL Server Reporting Services (SSRS).<br>• Collaborate with stakeholders to gather and document technical and business requirements.<br>• Write Python scripts to automate data processing and reporting tasks.<br>• Provide IT support across multiple functions, ensuring seamless operations.<br>• Work with HL7 standards to process and integrate healthcare data effectively.<br>• Conduct quality assurance checks to ensure data accuracy and reliability.<br>• Support cross-functional teams with data-driven insights and technical expertise.
We are looking for an experienced Healthcare SQL/Python Data Analyst to join our team in Sarasota, Florida. In this role, you will play a critical part in analyzing and integrating healthcare data to support organizational goals. If you have a strong technical background and a passion for leveraging data to improve healthcare solutions, we encourage you to apply.<br><br>Responsibilities:<br>• Perform in-depth data analysis to identify trends, insights, and opportunities for improvement within healthcare datasets.<br>• Develop and maintain SQL queries and scripts to support data extraction, manipulation, and reporting needs.<br>• Utilize Python for advanced data processing, automation, and analytical tasks.<br>• Integrate and manage data from multiple sources, ensuring accuracy and consistency.<br>• Collaborate with stakeholders to gather requirements and translate them into actionable data solutions.<br>• Design and generate reports using SSRS to present findings to internal teams and leadership.<br>• Work with HL7 standards to facilitate seamless data exchange and interoperability within healthcare systems.<br>• Troubleshoot and resolve issues related to data quality, integration, and system performance.<br>• Contribute to the development of data-driven strategies to enhance operational efficiency and patient care outcomes.
<p>Benefits:</p><ul><li>medical</li><li>dental</li><li>vision</li><li>life insurance</li><li>401k</li><li>paid time off</li></ul><p>Responsibilities</p><ul><li>Collect, validate, and maintain accurate data across multiple systems and reports.</li><li>Enter, update, and reconcile data within SAP to ensure consistency and data integrity.</li><li>Develop, maintain, and enhance spreadsheets, dashboards, and reports using Microsoft Excel (including formulas, pivot tables, lookups, and data analysis tools).</li><li>Analyze large datasets to identify trends, discrepancies, and actionable insights.</li><li>Support operational and financial teams with recurring and ad hoc data requests.</li><li>Perform routine data quality checks and audits to ensure accuracy and completeness.</li><li>Document data processes, definitions, and reporting standards.</li></ul>
<p>Benefits:</p><ul><li>medical</li><li>dental</li><li>vision</li><li>life insurance</li><li>401k</li><li>paid time off</li></ul><p>Responsibilities</p><ul><li>Collect, validate, and maintain accurate data across multiple systems and reports.</li><li>Enter, update, and reconcile data within SAP to ensure consistency and data integrity.</li><li>Develop, maintain, and enhance spreadsheets, dashboards, and reports using Microsoft Excel (including formulas, pivot tables, lookups, and data analysis tools).</li><li>Analyze large datasets to identify trends, discrepancies, and actionable insights.</li><li>Support operational and financial teams with recurring and ad hoc data requests.</li><li>Perform routine data quality checks and audits to ensure accuracy and completeness.</li><li>Document data processes, definitions, and reporting standards.</li></ul><p><br></p>
<p>Benefits:</p><ul><li>medical</li><li>dental</li><li>vision</li><li>life insurance</li><li>401k</li><li>paid time off</li></ul><p><br></p><p>Responsibilities</p><ul><li>Collect, validate, and maintain accurate data across multiple systems and reports.</li><li>Enter, update, and reconcile data within SAP to ensure consistency and data integrity.</li><li>Develop, maintain, and enhance spreadsheets, dashboards, and reports using Microsoft Excel (including formulas, pivot tables, lookups, and data analysis tools).</li><li>Analyze large datasets to identify trends, discrepancies, and actionable insights.</li><li>Support operational and financial teams with recurring and ad hoc data requests.</li><li>Perform routine data quality checks and audits to ensure accuracy and completeness.</li><li>Document data processes, definitions, and reporting standards.</li></ul>
<p>We are looking for a detail-oriented Data Ops Specialist in Corvallis, Oregon. This is a Contract position focused on maintaining accurate constituent information, protecting sensitive records, and helping the team manage a backlog created by recent staffing changes. The person in this role will work closely with data operations leadership to improve workflow efficiency, support project coordination, and strengthen overall data quality.</p><p><br></p><p>Responsibilities:</p><p>• Maintain and review organizational records to ensure information is complete, accurate, and aligned with established data standards.</p><p>• Enter, validate, and update constituent data across multiple record types with a strong focus on precision and consistency.</p><p>• Handle confidential and sensitive information responsibly while following data privacy and security practices.</p><p>• Build, adjust, and support no-code automation processes that improve the efficiency of recurring data tasks.</p><p>• Collaborate with data operations leadership to clarify project goals, set priorities, and support workload planning.</p><p>• Track project progress, deadlines, and deliverables using project management tools to help keep work on schedule.</p><p>• Communicate with internal stakeholders to gather requirements, address issues, and support timely resolution of data-related concerns.</p><p>• Identify opportunities to improve database structure, data processes, and system usage to strengthen operational effectiveness.</p>
We are looking for an experienced Power BI Business Intelligence Engineer to join our team in Niceville, Florida. In this role, you will play a vital part in managing and enhancing our reporting and business intelligence platforms to provide actionable insights. Your expertise will drive data analysis, dashboard creation, and the development of solutions that support key business decisions.<br><br>Responsibilities:<br>• Oversee the company's reporting and business intelligence systems to ensure optimal performance and accuracy.<br>• Develop a deep understanding of the organization's business models, operations, and decision-making processes.<br>• Analyze data architecture and gather requirements from stakeholders to create tailored solutions.<br>• Build and manage data sources, models, and integrations for reporting and analytics purposes.<br>• Design and maintain dashboards and reports using enterprise business intelligence tools.<br>• Facilitate seamless data integration processes to retrieve, transform, and analyze datasets.<br>• Support leadership in creating management information and KPIs to drive data-driven decision-making.<br>• Ensure data quality and integrity across all business intelligence deliverables.<br>• Stay updated with the latest advancements in BI technologies, tools, and practices to recommend improvements.<br>• Document systems and processes comprehensively while adhering to governance, security, and privacy standards.