<p>We’re seeking a skilled Database Developer to join a dynamic team based in Jacksonville, Florida. This contract role—with the potential to convert to a long-term position—offers the opportunity to design, build, and optimize database solutions while collaborating closely with cross‑functional teams. The ideal candidate is passionate about database architecture, performance, and delivering high‑quality, scalable solutions.</p><p><br></p><p>Key Responsibilities:</p><p>Design and implement robust database architectures and system-level interfaces</p><p>Provide technical leadership in database architecture, design, and development best practices</p><p>Develop, enhance, and maintain complex database structures within Microsoft SQL Server environments</p><p>Partner with application development teams to ensure alignment with database standards and performance goals</p><p>Create, review, and maintain technical documentation, including system designs and specifications</p><p>Leverage modern tools and techniques to improve development efficiency and support project objectives</p><p>Deliver solutions using agile methodologies, ensuring on-time and high-quality outcomes</p><p>Optimize database performance through efficient queries, indexing, and stored procedures</p><p>Support integration, testing, and deployment activities to ensure smooth project execution</p>
<p>We are seeking a talented <strong>SQL Developer</strong> to design, develop, and maintain database solutions that support business applications and analytics. The ideal candidate will be skilled in writing complex SQL queries, building stored procedures, optimizing database performance, and collaborating with cross-functional teams to deliver high-quality data solutions.</p><p> </p><p><strong>Key Responsibilities</strong></p><p> </p><ul><li>Design and develop SQL queries, stored procedures, views, functions, and triggers.</li><li>Build and maintain data models, schemas, and table structures to support business needs.</li><li>Create and optimize ETL processes for data extraction, transformation, and loading.</li><li>Optimize queries for performance, scalability, and efficiency.</li><li>Analyze execution plans and identify areas for improvement.</li><li>Collaborate with DBAs to tune databases and resolve performance bottlenecks.</li><li>Ensure data accuracy, integrity, and consistency across systems.</li><li>Implement validation rules, constraints, and error-handling mechanisms.</li><li>Work with business units to understand data requirements and improve data quality.</li><li>Develop and maintain SQL scripts for dashboards, reports, and analytics tools.</li><li>Support BI developers and data analysts with required datasets and database objects.</li><li>Participate in data warehouse and reporting system enhancements.</li><li>Work closely with software developers, DBAs, business analysts, and QA teams.</li><li>Assist in troubleshooting application issues related to data or SQL code.</li><li>Provide production support for database-related issues and scheduled jobs.</li><li>Maintain clear documentation for database objects, processes, and workflows.</li><li>Adhere to development standards, coding guidelines, and change management policies.</li></ul><p><br></p>
<p><strong>Overview</strong></p><p>The SQL Database Administrator will be responsible for ensuring the optimal performance, availability, and security of our database systems. This role involves a keen understanding of SQL Server architecture, with a focus on performance profiling, permissions management, and data integrity practices. The ideal candidate will possess strong technical skills in SQL and related database technologies, along with an analytical mindset. The candidate will also have Azure experience.</p><p><br></p><p><strong><u>Responsibilities</u></strong></p><p><strong>Performance Profiling:</strong></p><ul><li>Monitor, analyze, and optimize the performance of databases to ensure they meet the needs of the business.</li><li>Use tools such as SQL Server Management Studio (SSMS) to identify and resolve performance bottlenecks.</li><li>Regularly conduct performance reviews and make necessary adjustments to database configurations for optimal operation.</li></ul><p><strong>Permissions Management:</strong></p><ul><li>Ensure that database users and applications have the appropriate permissions to access and modify tables, stored procedures, and other database objects.</li><li>Maintain column level encryption for data across clustered server environments.</li><li>Develop and implement policies for access controls, and audit logging.</li></ul><p><strong>Database Optimization:</strong></p><ul><li>Update databases to leverage foreign keys, indexes, and other features that enhance performance and integrity.</li><li>Perform database normalization to eliminate redundancy and improve data consistency.</li><li>Optimize stored procedures and application queries for efficiency and speed.</li><li>Load balancing , clustering, database tuning, and denormalization experience to maintain best performance</li><li>Leverage Data-tier application tools to maintain schema versioning and consistency in multiple databases.</li></ul><p><strong>Collaboration and Support:</strong></p><ul><li>Work closely with developers and other stakeholders to support database needs and address technical challenges.</li><li>Provide training and guidance on SQL Server technologies and best practices to team members as needed.</li><li>Support team when creating new columns/tables to optimize storage and data retrieval efficiency based on various factors such as data types.</li><li>Stay updated with the latest trends in database technology to continually improve our systems.</li></ul><p><strong>Backup and Recovery and Replication:</strong></p><ul><li>Develop, implement, and maintain a comprehensive backup and disaster recovery strategy.</li><li>Monitor backup logs and storage systems to ensure that all backups are successful, complete, and performed on schedule.</li><li>Conduct regular tests of the restore processes to validate effectiveness and to refresh lower environments with production like data.</li><li>Manage replication of databases across multiple servers in the cluster and review updates to before release to mitigate their impact on replication.</li></ul><p><strong>Data Sanitization:</strong></p><ul><li>Ensure that sensitive data is properly sanitized in lower environments and reduce unnecessary exposure of personal or sensitive information.</li></ul>
We are looking for an experienced SQL Database Administrator to join our team in Windsor, Connecticut. In this role, you will be responsible for managing, optimizing, and securing databases to support our manufacturing operations. The ideal candidate will bring expertise in Power BI administration, relational databases, and data integration to drive efficient data solutions.<br><br>Responsibilities:<br>• Administer and maintain Microsoft SQL Server and Azure SQL databases to ensure optimal performance and security.<br>• Oversee Power BI workspaces, datasets, and reporting tools to support business intelligence needs.<br>• Develop and implement data integration strategies, including working with Dynamics 365 Finance & Operations.<br>• Monitor database performance and troubleshoot issues to minimize downtime and enhance efficiency.<br>• Collaborate with cross-functional teams to design and execute data-driven solutions.<br>• Create and maintain documentation for database systems, processes, and procedures.<br>• Ensure compliance with security protocols and data protection standards.<br>• Perform database backups, recovery, and upgrades as needed.<br>• Provide technical support and guidance to non-technical stakeholders regarding database-related functions.<br>• Identify opportunities for process improvements and implement solutions to streamline operations.
<p><strong>SQL Database Administrator</strong></p><p>We are seeking an experienced <strong>SQL Database Administrator</strong> to manage our database environments, ensure performance, and maintain high availability. This role is ideal for someone who enjoys working with data systems, optimizing queries, and supporting mission-critical applications.</p><p><strong>Responsibilities</strong></p><ul><li>Install, configure, and maintain Microsoft SQL Server environments</li><li>Monitor database performance, optimize queries, and tune indexes</li><li>Perform backups, restorations, log shipping, and disaster recovery testing</li><li>Configure and support high-availability systems such as AlwaysOn, clustering, or mirroring</li><li>Manage database security including roles, permissions, encryption, and audits</li><li>Troubleshoot database failures, corruption, long-running queries, and performance bottlenecks</li><li>Support developers with schema changes, stored procedures, and data migrations</li><li>Maintain documentation of schemas, configurations, and DR procedures</li><li>Assist in ETL processes and reporting activities</li></ul><p><br></p>
<p>Job Overview</p><p>We are seeking an experienced <strong>SQL Database Administrator / Data Engineer</strong> to support a major <strong>data platform modernization and cloud migration initiative</strong>. This role will focus on migrating <strong>on-premises SQL Server databases to AWS</strong>, building data pipelines, and supporting modern cloud-based database environments.</p><p>The ideal candidate will have strong hands-on experience with <strong>AWS database services, Python-based data processing, and data pipeline development</strong>. This individual will play a key role in ensuring <strong>data reliability, performance monitoring, and scalable data architecture</strong> supporting enterprise applications.</p><p>This position requires a <strong>hybrid work schedule</strong>, with <strong>2–3 days onsite in Richmond, VA</strong> and additional onsite presence as requested by the manager.</p><p>WKey Responsibilities</p><ul><li>Support the <strong>migration of on-premises SQL Server databases to AWS and Snowflake environments</strong></li><li>Build and maintain <strong>AWS-based data pipelines</strong></li><li>Develop <strong>Python scripts for data generation, transformation, and bulk data loading</strong></li><li>Design and maintain <strong>logical and physical data models</strong></li><li>Support application teams using <strong>Amazon RDS and DynamoDB</strong></li><li>Assist with <strong>data validation, migration testing, and performance tuning</strong></li><li>Develop <strong>operational dashboards and monitoring metrics</strong> for database performance</li><li>Ensure <strong>data quality, system efficiency, and reporting reliability</strong></li><li>Support <strong>BAU operations for SQL Server and cloud database environments</strong></li></ul><p><br></p>
<p><strong>SQL Database Administrator</strong></p><p>We are seeking an experienced <strong>SQL Database Administrator</strong> to manage our database environments, ensure performance, and maintain high availability. This role is ideal for someone who enjoys working with data systems, optimizing queries, and supporting mission-critical applications.</p><p><strong>Responsibilities</strong></p><ul><li>Install, configure, and maintain Microsoft SQL Server environments</li><li>Monitor database performance, optimize queries, and tune indexes</li><li>Perform backups, restorations, log shipping, and disaster recovery testing</li><li>Configure and support high-availability systems such as AlwaysOn, clustering, or mirroring</li><li>Manage database security including roles, permissions, encryption, and audits</li><li>Troubleshoot database failures, corruption, long-running queries, and performance bottlenecks</li><li>Support developers with schema changes, stored procedures, and data migrations</li><li>Maintain documentation of schemas, configurations, and DR procedures</li><li>Assist in ETL processes and reporting activities</li></ul><p><br></p>
We are looking for a detail-oriented Data Analyst to oversee grant-related processes and manage communications with community partners. The ideal candidate will ensure accurate tracking, submission of reimbursements, and provide timely responses to inquiries from management. This position offers an opportunity to contribute to impactful community initiatives while applying strong data analysis skills.<br><br>Responsibilities:<br>• Manage grant-related data, including tracking expenditures and reimbursements to ensure accuracy and compliance.<br>• Collaborate with community partners to maintain clear and effective communication regarding grant processes and requirements.<br>• Prepare and submit reimbursement documentation in alignment with organizational policies.<br>• Respond to inquiries from management and stakeholders in a timely and thorough manner.<br>• Utilize data manipulation tools and queries to analyze and interpret grant-related information.<br>• Create and maintain reports using Microsoft Access and Excel to support decision-making processes.<br>• Assist in organizing community events and initiatives tied to grant programs.<br>• Ensure data integrity and accuracy in all reporting and analysis efforts.<br>• Support the team with additional administrative tasks related to data management and grant tracking.
We are looking for a skilled Data Analyst to join our team in Los Angeles, California, on a long-term contract basis. This role offers an exciting opportunity to contribute to fraud detection and prevention efforts by leveraging advanced data analytics. You will play a pivotal role in analyzing complex datasets and providing actionable insights to support anti-fraud initiatives.<br><br>Responsibilities:<br>• Analyze large datasets to identify patterns, trends, and anomalies related to suspected fraud.<br>• Develop and implement fraud analytics models to detect and prevent fraudulent activities.<br>• Collaborate with cross-functional teams to investigate potential fraud cases and provide detailed reports.<br>• Monitor and assess the effectiveness of anti-fraud strategies and recommend improvements.<br>• Utilize advanced data analysis techniques to enhance fraud detection processes.<br>• Prepare visualizations and presentations to communicate findings to stakeholders.<br>• Conduct thorough investigations into flagged transactions or activities and document findings.<br>• Support the development of automated tools and processes for fraud prevention.<br>• Stay updated on industry best practices and emerging technologies related to fraud analytics.<br>• Ensure compliance with regulatory requirements and company policies in all investigations.
<p>Our company is seeking a motivated Data Analyst with expertise in SQL to join our growing team. In this role, you will leverage your analytical skills to turn data into actionable insights, helping our organization make data-driven decisions. You will work closely with stakeholders across departments to define analysis needs, prepare and interpret datasets, and deliver meaningful reports and visualizations.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Extract, clean, and analyze large datasets using SQL.</li><li>Develop, optimize, and maintain SQL queries, scripts, and procedures for data extraction and reporting.</li><li>Produce insightful analysis, dashboards, and reports for cross-functional teams to support key business initiatives.</li><li>Work closely with business partners to understand requirements and translate them into analytical solutions.</li><li>Identify opportunities to improve data quality, processes, and reporting efficiency.</li><li>Present findings and recommendations to stakeholders in a clear and concise manner.</li><li>Stay current on best practices and recent advancements in data analytics and reporting tools</li></ul><p><br></p>
We are looking for an experienced Data Analyst to join our team on a long-term contract basis in Wilmington, Delaware. In this role, you will play a pivotal part in designing and developing software solutions for both desktop and web applications. You will collaborate closely with business stakeholders to understand and document requirements, ensuring the delivery of robust and effective reporting and application solutions.<br><br>Responsibilities:<br>• Design and implement front-end and back-end software for complex desktop and web applications.<br>• Collaborate with business users and management to identify, analyze, and document application and reporting requirements.<br>• Develop stable and efficient solutions for Power BI reporting and application development projects.<br>• Manage all stages of the software development lifecycle, including requirements gathering, design, coding, testing, deployment, and ongoing support.<br>• Utilize best practices in software development and explore innovative solutions to meet business objectives.<br>• Optimize database objects and ensure efficient data handling and retrieval.<br>• Apply Agile methodologies to project management and software development tasks.<br>• Create and maintain comprehensive documentation for business requirements and application designs.<br>• Work independently and as part of a team to deliver high-quality results.<br>• Support scheduled updates and releases with a focus on system stability and performance.
We are looking for a skilled Data Analyst to join our team in Spring, Texas. This long-term contract position offers an excellent opportunity to utilize your expertise in fraud investigation and analytics while contributing to meaningful data-driven insights. If you enjoy analyzing complex datasets and identifying patterns to prevent fraudulent activities, this role is for you.<br><br>Responsibilities:<br>• Analyze large datasets to identify trends, anomalies, and patterns indicative of fraudulent activities.<br>• Develop and implement fraud detection strategies using advanced analytics and investigative techniques.<br>• Collaborate with cross-functional teams to collect and organize data for fraud prevention initiatives.<br>• Conduct detailed investigations into suspected fraudulent activities and recommend appropriate actions.<br>• Create reports and dashboards to communicate findings and support decision-making processes.<br>• Maintain up-to-date knowledge of fraud detection tools and techniques to enhance operational effectiveness.<br>• Monitor ongoing transactions and activities to detect and mitigate potential fraud risks.<br>• Work closely with stakeholders to understand business needs and deliver impactful data analysis.<br>• Ensure the accuracy and integrity of data used for fraud analytics and reporting.<br>• Provide training and guidance to team members on fraud analytics best practices.
<p>We are seeking a QA Analyst for a dynamic, fast-paced weekly release environment to support and ensure high-quality delivery.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Execute manual QA testing activities in a weekly release cycle.</li><li>Perform thorough scope testing and regression testing for every release.</li><li>Conduct hands-on testing of Salesforce applications.</li><li>Test integrations with other platforms and validate APIs.</li><li>Create and expand test cases rooted in impacted functionality and new requirements.</li><li>Collaborate closely with developers, product managers, and business stakeholders to understand requirements, priorities, and areas affected by code changes.</li><li>Identify bugs early in the lifecycle before code reaches production.</li><li>Work independently with minimal supervision, proactively raising potential quality concerns.</li><li>Leverage tools such as Postman for API testing.</li><li>Document detailed defect reports and track issues to resolution.</li></ul>
<p>We are looking for a detail-oriented Part Time Data Analyst to join our team in Tonawanda, New York. This Contract to permanent position is ideal for someone who excels at refining workflows, streamlining processes, and enhancing business efficiency. The role requires a focus on improving operational quality, reducing costs, and delivering actionable insights through data analysis.</p><p><br></p><p>Responsibilities:</p><p>• Analyze and refine existing workflows to eliminate inefficiencies and bottlenecks.</p><p>• Automate processes wherever possible to improve operational speed and accuracy.</p><p>• Collaborate with sales teams to enhance marketing strategies and align efforts.</p><p>• Track, compile, and analyze data to support informed decision-making.</p><p>• Redesign and optimize process flows to meet specific project goals and objectives.</p><p>• Maintain and update all documentation related to workflows and process improvements.</p><p>• Facilitate workshops to identify critical business challenges and propose solutions.</p><p>• Work closely with management to align processes with short-term and long-term organizational goals.</p><p>• Prepare and manage client-related data, including spreadsheets, notes, payment updates, and issue resolutions.</p><p>• Apply fraud analytics and investigation techniques to detect and mitigate risks.</p>
We are looking for a skilled Data Analyst to join our team in Jacksonville, Florida. This Contract to permanent position is ideal for someone who excels at transforming complex datasets into meaningful insights and actionable reports. The role involves leveraging technical expertise to support decision-making and drive business improvements through advanced analytics.<br><br>Responsibilities:<br>• Gather, analyze, and interpret data from diverse sources to provide actionable insights for business decisions.<br>• Design and maintain Power BI dashboards, automated reports, and interactive visualizations.<br>• Develop and optimize SQL queries to extract, manipulate, and manage large datasets effectively.<br>• Utilize Python for data cleaning, automation, and performing advanced analytics.<br>• Conduct rigorous data validation, quality assurance checks, and reconciliation processes to ensure accuracy.<br>• Create scheduled and on-demand reports tailored to the needs of cross-functional teams.<br>• Identify trends, patterns, and anomalies in data to uncover opportunities for business growth.<br>• Collaborate with stakeholders to define key performance indicators (KPIs) and establish reporting strategies.<br>• Provide recommendations to improve data processes and enhance overall reporting efficiency.
<p>We are looking for an experienced Data Analyst to join our team on a long-term contract basis in Fort Lauderdale. In this role, you will use your analytical expertise to transform complex data into meaningful insights that drive strategic decision-making. Collaborating with various teams, you will play a key role in refining data processes and creating impactful reports to support our organizational goals.</p><p><br></p><p>Responsibilities:</p><p>• Extract, clean, and analyze large datasets to ensure reliable and accurate data insights.</p><p>• Design and optimize SQL queries, scripts, and procedures for efficient data retrieval and reporting.</p><p>• Create and maintain dashboards and reports that provide clear visualizations of key performance metrics.</p><p>• Collaborate with stakeholders to identify analysis needs and translate them into actionable solutions.</p><p>• Evaluate and enhance data quality, ensuring consistency and accuracy across all datasets.</p><p>• Present data findings and recommendations in a clear, concise manner to support business strategies.</p><p>• Partner with cross-functional teams to understand key business objectives and align data analysis efforts.</p><p>• Develop methods to improve reporting processes and streamline data workflows.</p>
<p><strong>Position Summary</strong></p><p>We are seeking a detail‑oriented <strong>Data Analyst</strong> to support our client. A key focus of this assignment will be finalizing and integrating the department’s <strong>legacy database</strong> into broader organizational data systems.</p><p>This role is ideal for someone who excels at translating complex data into clear insights for leadership.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Conduct research and analysis on housing, economic, and demographic trends.</li><li>Evaluate internal data to assess current and emerging housing needs.</li><li>Interpret and communicate the policy implications of research findings for managerial decision‑makers.</li><li>Finalize and support integration of the legacy database with organizational data programs.</li><li>Prepare written reports, dashboards, graphics, and presentations that summarize complex data clearly and concisely.</li><li>Utilize PowerBI or Tableau to develop dashboards and data visualizations.</li><li>Maintain and enhance databases using MS Access and Excel.</li><li>Create presentations and briefing materials using MS PowerPoint.</li><li>(Preferred) Use GIS tools and databases to analyze spatial housing and community development trends.</li></ul>
We are looking for an experienced Data Analyst to support healthcare initiatives in Philadelphia, Pennsylvania. This is a long-term contract position that requires strong analytical skills and a focus on fraud detection and prevention. The ideal candidate will leverage data-driven insights to enhance decision-making and ensure the integrity of healthcare operations.<br><br>Responsibilities:<br>• Conduct detailed data analyses to identify patterns of suspected fraud and anomalies in healthcare systems.<br>• Develop and implement fraud detection models using advanced analytics tools and techniques.<br>• Collaborate with cross-functional teams to investigate potential fraudulent activities and propose actionable solutions.<br>• Utilize platforms such as Epics and Chartmaxx to extract and analyze data effectively.<br>• Generate comprehensive reports and dashboards to present findings and support decision-making.<br>• Monitor ongoing healthcare operations to ensure compliance with anti-fraud protocols.<br>• Optimize data workflows and processes to enhance efficiency and accuracy.<br>• Stay updated on industry trends and best practices in fraud analytics and healthcare data analysis.<br>• Provide recommendations to improve system integrity and prevent future fraudulent activities.
We are looking for a skilled Data Analyst to join our team on a long-term contract basis in Cambridge, Massachusetts. This role is ideal for someone who thrives in analyzing complex datasets, identifying trends, and delivering actionable insights. Your expertise in data reporting and visualization will be essential in supporting key organizational goals.<br><br>Responsibilities:<br>• Develop comprehensive reports and dashboards using Tableau to visualize and present data effectively.<br>• Utilize PeopleSoft to extract and manage data for reporting and analytical purposes.<br>• Conduct detailed investigations into suspected fraud cases and provide analytical insights.<br>• Monitor and analyze patterns in fraud analytics to identify risks and recommend solutions.<br>• Collaborate with cross-functional teams to ensure data accuracy and integrity.<br>• Apply anti-fraud measures to detect and prevent fraudulent activities.<br>• Perform thorough data analysis to uncover trends and deliver actionable recommendations.<br>• Maintain documentation of findings and processes to support organizational transparency.<br>• Present findings and recommendations to stakeholders in a clear and concise manner.<br>• Continuously improve reporting processes and tools to enhance data-driven decision-making.
<p>We are looking for a skilled Data Analyst to join our team on a long-term contract basis in Glendale, California. The ideal candidate will play a pivotal role in analyzing data to identify trends, detect fraudulent activity, and support decision-making processes. This position offers an excellent opportunity to work on meaningful projects while leveraging your expertise in fraud analytics and data investigation.</p><p><br></p><p>Responsibilities:</p><p>• Analyze large datasets to uncover patterns and anomalies that may indicate fraudulent activity.</p><p>• Develop and implement fraud detection models and algorithms to enhance risk management.</p><p>• Investigate suspicious transactions and activities to identify potential fraud cases.</p><p>• Collaborate with cross-functional teams to design strategies for fraud prevention and mitigation.</p><p>• Prepare detailed reports and visualizations to communicate findings to stakeholders clearly.</p><p>• Monitor and refine anti-fraud systems based on emerging threats and trends.</p><p>• Conduct research to stay informed about new fraud schemes and data analysis techniques.</p><p>• Ensure data integrity and accuracy while working with sensitive information.</p><p>• Provide actionable insights that help drive business decisions and improve operational efficiency.</p>
<p><strong>About the Role</strong></p><p>We’re seeking a Data Analyst to support reporting, analytics, and data-driven decision-making across the organization. This individual will extract, transform, analyze, and present data to business leaders, helping improve operations, customer experience, and strategic outcomes.</p><p><strong>Key Responsibilities</strong></p><ul><li>Collect, clean, and validate data from multiple systems (ERP, CRM, cloud platforms, internal databases).</li><li>Build dashboards, reports, and visualizations using tools such as Power BI, Tableau, or Excel.</li><li>Perform trend analysis, KPI tracking, and ad‑hoc analytics to support business decisions.</li><li>Partner with IT, finance, operations, and leadership teams to understand data needs and deliver insights.</li><li>Develop SQL queries, joins, stored procedures, and dataset pipelines for reporting.</li><li>Monitor data integrity and recommend process/data quality improvements.</li><li>Translate complex data findings into clear, actionable recommendations for non‑technical stakeholders.</li></ul><p><br></p>
We are looking for an experienced Data Analyst to join our team on a long-term contract basis. This role is essential in ensuring the accuracy and integrity of client specialist data while maintaining high service standards. Based in Minneapolis, Minnesota, the position offers the opportunity to work remotely, collaborating across teams to deliver meaningful insights and solutions.<br><br>Responsibilities:<br>• Resolve data-related incidents by updating records and querying various data sources.<br>• Apply specialist quality standards to maintain data integrity.<br>• Validate data accuracy across multiple systems to ensure consistency.<br>• Update client data based on specific requirements while adhering to service level agreements.<br>• Configure software applications both before and after system go-live.<br>• Collaborate with care organizations to gather and update data in alignment with requirements.<br>• Provide support in managing data updates and ensuring the availability of accurate information.<br>• Utilize advanced Excel formulas to standardize and compare data efficiently.<br>• Foster effective communication with clients and stakeholders to address data needs and changes.
<p>The Data Analyst is responsible for transforming complex datasets into meaningful insights that support decision-making across the organization. This role works closely with business stakeholders, technical teams, and leadership to analyze data, build dashboards, optimize reporting workflows, and contribute to data-driven strategies. The position requires strong analytical capability, solid technical skills, and the ability to explain findings to non‑technical audiences.</p><p><strong>Key Responsibilities</strong></p><p><strong>Data Management & Preparation</strong></p><ul><li>Extract, clean, transform, and validate data from multiple sources including databases, spreadsheets, APIs, and cloud platforms.</li><li>Maintain data dictionaries, definitions, and documentation to ensure consistency across reporting environments.</li><li>Perform quality assurance checks to detect anomalies, missing values, inconsistencies, or data integrity issues.</li></ul><p><strong>Analysis & Reporting</strong></p><ul><li>Conduct exploratory data analysis to identify trends, performance drivers, and actionable insights.</li><li>Develop KPI dashboards, visualizations, and interactive reports using BI tools such as Power BI, Tableau, or Looker.</li><li>Prepare regular operational, financial, or performance reports for business units and leadership.</li><li>Translate business questions into analytical approaches and summarize findings clearly for stakeholders.</li></ul><p><strong>SQL & Database Work</strong></p><ul><li>Write intermediate to advanced SQL queries for data extraction, filtering, aggregation, and joining across relational databases.</li><li>Optimize query performance and support development of reusable SQL logic for reporting and analytics.</li><li>Collaborate with data engineers on schema changes, new data pipelines, and data model improvements.</li></ul><p><strong>Advanced Analytics & Automation</strong></p><ul><li>Build automated reporting workflows using SQL, Python, R, or ETL tools to reduce manual effort.</li><li>Perform statistical analysis, forecasting, segmentation, and other analytical techniques as needed.</li><li>Support experimentation, A/B testing, cohort analysis, or predictive modeling initiatives.</li></ul><p><strong>Cross‑Functional Collaboration</strong></p><ul><li>Partner with Finance, Operations, Marketing, Product, and IT to understand data needs and develop analytical solutions.</li><li>Gather user requirements, define scope, and manage expectations throughout analytics projects.</li><li>Present insights and recommendations to leadership in a clear, structured format.</li></ul><p><strong>Data Governance & Best Practices</strong></p><ul><li>Ensure compliance with internal data standards, privacy rules, and access policies.</li><li>Contribute to documentation, SOPs, and data governance initiatives to enhance data literacy across the business.</li><li>Support continuous improvement of analytics processes, dashboards, and metrics.</li></ul><p><br></p>
<p>The Data Migration Specialist is responsible for planning, executing, validating, and reconciling data migrations from legacy systems into ERP and operational platforms. This role ensures that historical and transactional data is migrated accurately, completely, and in alignment with business and regulatory requirements.</p><p>This role is execution-focused and works within the standards defined by the Data Architect.</p><p>Key responsibilities</p><p>Migration planning and execution</p><ul><li>Analyze legacy data sources and assess data readiness for migration.</li><li>Develop data extraction, transformation, and load (ETL) plans aligned to target systems.</li><li>Build and execute migration scripts, tools, and repeatable migration processes.</li><li>Perform mock conversions and final production cutovers.</li></ul><p>Data mapping and transformation</p><ul><li>Create detailed source-to-target mapping documents.</li><li>Apply transformation rules, data cleansing logic, and enrichment where required.</li><li>Validate that migrated data aligns with target ERP configuration and business rules.</li></ul><p>Data validation and reconciliation</p><ul><li>Perform row-level and aggregate reconciliations pre- and post-migration.</li><li>Validate financial balances, open transactions, and historical records.</li><li>Partner with finance and operations teams to confirm business signoff.</li><li>Document issues, resolutions, and lessons learned for reuse.</li></ul><p>ERP and OpCo rollout support</p><ul><li>Support phased ERP and OpCo migrations.</li><li>Participate in cutover planning and execution.</li><li>Support hypercare by resolving migration-related defects and data issues.</li><li>Maintain migration runbooks and documentation.</li></ul><p><br></p>
We are looking for a highly skilled Data Analyst to join our team in Belgrade, Maine. This is a long-term contract position offering the opportunity to contribute to advanced data solutions and cloud-based projects. The role involves working with large-scale data migrations and developing modern data pipelines using cutting-edge technologies.<br><br>Responsibilities:<br>• Design and implement efficient data pipelines to ingest, transform, and deliver data across enterprise systems.<br>• Develop and manage Azure-based Data Lakes and associated cloud data services.<br>• Lead large-scale data migration projects from on-premise systems to Azure cloud environments.<br>• Create scalable data models and curated datasets to support business intelligence and reporting.<br>• Ensure data integrity, quality, governance, and security throughout all workflows.<br>• Collaborate with technical and business teams to translate requirements into impactful data solutions.<br>• Optimize data architectures to improve performance and scalability.<br>• Support business intelligence platforms like Power BI by delivering curated datasets and analytics layers.<br>• Monitor and troubleshoot data workflows to ensure seamless operations.