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4 results for Cloud Computing Analyst in Manchester, NH

HRIS Analyst

Hampton, NH
onsite
Temporary / Contract
50 - 55 USD / Hourly
We are looking for an experienced HRIS Analyst to support critical human resources technology initiatives in New Hampshire. This Long-term Contract position is ideal for a detail-oriented individual who can translate business needs into effective system solutions, maintain data integrity, and improve HRIS performance across the organization. The role requires strong analytical skills, hands-on experience with HR systems, and the ability to contribute to implementation and integration efforts in a dynamic environment. Responsibilities: • Analyze HRIS processes, data flows, and system functionality to identify opportunities for improvement and ensure operational efficiency. • Partner with HR, payroll, and business stakeholders to gather requirements and convert them into practical system configurations and reporting solutions. • Support HRIS implementation activities, including testing, validation, issue resolution, and post-deployment optimization. • Maintain the accuracy, consistency, and security of HR data within the system and related databases. • Develop and refine reports, dashboards, and ad hoc analyses to support workforce planning and decision-making. • Contribute to merger and acquisition integration work by aligning HR system data, processes, and reporting structures. • Provide day-to-day support for HR technology tools, troubleshooting system issues and escalating when needed. • Document system procedures, business rules, and configuration changes to promote continuity and compliance.
2026-05-21T00:00:00Z

Enterprise Data Analytics Engineer

Boston, MA
remote
Permanent / Full Time
90000 - 110000 USD / Yearly
We are looking for a Data Analytics Engineer to help strengthen and scale analytics capabilities supporting participant and healthcare-related data initiatives in Boston, Massachusetts. This role is ideal for an early-career data specialist who enjoys building reliable datasets, improving reporting foundations, and partnering with analysts and business teams to turn complex information into actionable insight. You will work in a modern cloud data environment and contribute to data products that support performance measurement, operational visibility, and informed decision-making. Responsibilities:• Build and support data pipelines, curated datasets, and analytics-ready data structures used for reporting and performance tracking.• Clean, join, and reshape data from multiple sources to produce dependable outputs for dashboards, KPI measurement, and deeper analysis.• Partner with analysts, engineers, and business stakeholders to translate reporting needs into practical data models and scalable solutions.• Investigate pipeline failures and data inconsistencies, then implement fixes that improve reliability, accuracy, and timeliness.• Maintain clear documentation for data definitions, model logic, source mapping, and lineage to improve transparency across the analytics function.• Create recurring and on-demand analyses that help teams monitor trends, evaluate outcomes, and support current business priorities.• Contribute to the upkeep and optimization of analytics workflows within tools such as Databricks, Microsoft Fabric, and related cloud platforms.• Provide data support to operational teams and assist with information requests tied to cross-functional initiatives or external-facing needs.
2026-06-03T00:00:00Z

Senior Data Scientist

Boston, MA
remote
Permanent / Full Time
150000 - 160000 USD / Yearly
We are looking for an experienced Senior Data Scientist to join our dynamic team in Boston, Massachusetts. In this role, you will leverage your expertise in statistical modeling, machine learning, and cloud-based analytics to drive impactful decisions and solutions. The ideal candidate will bring a strong technical background, a passion for working with regulated data, and a commitment to ethical AI practices. Responsibilities: • Develop and implement advanced statistical models and machine learning algorithms to solve complex business problems. • Monitor and evaluate the performance of AI models, ensuring reliability, fairness, and compliance with ethical standards. • Collaborate with engineering and product teams to translate data-driven insights into actionable strategies. • Utilize cloud-based tools such as AWS SageMaker and Redshift to design and deploy scalable analytics solutions. • Handle sensitive healthcare or clinical trial datasets while adhering to strict data privacy and security regulations. • Conduct exploratory data analysis and create visualizations to communicate findings effectively. • Build and optimize ETL pipelines for efficient data transformation and integration. • Apply Bayesian statistics and time-series forecasting techniques to improve predictive accuracy. • Maintain comprehensive documentation of data science workflows and processes. • Stay updated on industry trends and advancements to continuously enhance methodologies and tools.
2026-06-09T00:00:00Z

Data Analyst

Hampton, NH
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a detail-focused Data Analyst to join a utilities and infrastructure organization in Hampton, New Hampshire. This Long-term Contract opportunity is ideal for someone who can support reporting, data quality, and integration-related activities while working closely with project and business teams. The position will contribute during system implementation and continue to play an important role in ongoing reporting and data operations after launch. Responsibilities: • Partner with implementation stakeholders to develop reporting assets and organize supporting data documentation. • Carry out system and user testing activities, record issues clearly, and help monitor them through resolution. • Compare source and target data to identify discrepancies and support accurate reconciliation efforts. • Assist with large-volume data validation and conversion tasks while following established quality standards. • Maintain and enhance recurring reports that support day-to-day business decision-making. • Keep report inventories and data documentation current to improve usability and governance. • Perform routine data checks, bulk data updates, and file-based import activities with a high level of accuracy. • Provide support for integration workflows and data movement processes, expanding ownership as experience grows.
2026-06-10T00:00:00Z