314 Results for Data Analyst Jobs in Usa

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Data Analyst

New York, NY
onsite
Temporary / Contract
35.15 - 40.7 USD / Hourly
We are looking for a Data Analyst to join a FinTech organization in New York, New York. This Long-term Contract position is ideal for someone who enjoys translating complex commercial and sales data into practical recommendations that support pricing, forecasting, and business decisions. In this role, you will work across teams to strengthen reporting accuracy, develop analytical models, and present insights that help guide deal strategy and revenue outcomes. Responsibilities: • Build and refine analytical models and reusable templates to evaluate new business opportunities as well as converted accounts. • Perform margin-focused assessments on proposed deals to support pricing decisions and overall commercial strategy. • Create clear presentation materials that summarize commercial proposals, financial considerations, and key business insights. • Prepare internal review decks that clearly communicate deal performance, assumptions, risks, and recommendations for stakeholders. • Audit and validate Salesforce data to improve consistency, completeness, and reporting reliability. • Maintain accurate weekly tracking reports and ensure leadership has timely visibility into performance metrics and pipeline activity. • Analyze sales and pricing data to uncover trends, compare scenario outcomes, and support revenue forecasting. • Partner with cross-functional teams including Sales and Finance to align analysis with business objectives and customer needs.
2026-10-28T00:00:00Z

Data Analyst

Cambridge, MA
remote
Temporary to Hire
35.625 - 41.25 USD / Hourly
We are looking for a Data Analyst to join an education-focused organization on a contract-to-permanent basis. This role will bring structure and visibility to contract and vendor data by turning scattered information into reliable insights that support renewal planning and procurement decisions. The person in this position will work closely with sourcing, software asset management, finance, and vendor management stakeholders to improve oversight of agreements and help the team operate more proactively. This opportunity is well suited for someone who combines strong analytical ability with hands-on experience in vendor contracts, renewals, and procure-to-pay environments. Responsibilities: • Consolidate contract, procurement, finance, and usage information from multiple systems into organized datasets that support accurate tracking and reporting. • Review and cleanse existing records to improve data quality, identify gaps, and create a dependable foundation for renewal and vendor oversight activities. • Analyze upcoming contract expirations and renewal timelines to help the team prioritize actions and reduce reactive management of agreements. • Partner with sourcing leads, software asset management professionals, and vendor management stakeholders to evaluate vendor portfolios and support governance reviews. • Generate reports and spreadsheets that highlight contract status, vendor tiering, financial considerations, and lifecycle activity for decision-makers. • Extract and interpret information from platforms such as Coupa, ServiceNow, finance tools, and other contract repositories to build useful business insights. • Support vendor lifecycle and procure-to-pay analysis by identifying trends, tracking obligations, and improving visibility across active agreements. • Collaborate with internal teams and external vendors to validate contract details, resolve discrepancies, and maintain consistent records across systems.
2026-10-07T00:00:00Z

Data Analyst

De Pere, WI
onsite
Temporary / Contract
45 - 50 USD / Hourly
We are seeking a detail-oriented Data Analyst to support material and vendor master data management for a well-established organization. This position is responsible for maintaining accurate data within SAP, processing material and vendor updates, supporting data governance initiatives, and ensuring data integrity across business operations. The ideal candidate brings experience in SAP, master data management, data validation, and process improvement, along with strong analytical and organizational skills. Key Responsibilities Create, update, and maintain material and vendor master records within SAP. Ensure accuracy, completeness, and consistency of master data across systems. Process vendor setup requests, changes, and updates while verifying required documentation and approvals. Maintain material records throughout the product lifecycle, including status changes and updates. Support data governance policies, procedures, and quality standards. Research and resolve data discrepancies, errors, and system-related issues. Collaborate with cross-functional teams to address data requests and operational needs. Support data synchronization and publication processes, including GDSN, 1WorldSync, and GS1 standards. Monitor shared mailboxes, manage incoming requests, and meet established service-level agreements (SLAs). Assist with data cleanup, reporting, and process improvement initiative
2026-10-21T00:00:00Z

Data Analyst

Diamond Bar, CA
onsite
Temporary / Contract
71.25 - 82.5 USD / Hourly
We are looking for a Data Analyst to support reporting, audience targeting, and data-driven decision-making for a manufacturing organization in Diamond Bar, California. This Long-term Contract position partners closely with business stakeholders to translate operational goals into meaningful reports, reliable datasets, and actionable audience lists. The ideal candidate brings strong analytical skills, hands-on experience with SQL and Excel, and the ability to communicate clearly while maintaining high standards for data accuracy. Responsibilities: • Partner with business teams to gather reporting needs, clarify audience outreach objectives, and turn those needs into practical data solutions. • Develop and refine reports, datasets, and audience lists that help stakeholders measure performance and support business priorities. • Write and troubleshoot SQL queries across multiple tables, using joins and backend reporting techniques to extract accurate information. • Pull, validate, and organize data from platforms such as Salesforce and marketing-related systems to support analysis and campaign targeting. • Perform data validation checks and investigate quality issues to improve confidence in reporting outputs and audience segmentation. • Use advanced Excel functions, including PivotTables and lookup formulas, to analyze trends, reconcile data, and present findings clearly. • Build targeted audience segments and list selections based on defined business rules, data attributes, and outreach requirements. • Communicate proactively with cross-functional partners to provide status updates, resolve issues quickly, and ensure deliverables align with expectations.
2026-10-23T00:00:00Z

Data Analyst

Tallahassee, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking a Data Analyst to support the design, development, implementation, and maintenance of software applications and data management solutions. This role requires close collaboration with cross-functional teams to deliver scalable technology solutions that meet business and operational needs.Responsibilities<ul><li>Gather, analyze, and document business and technical requirements.</li><li>Translate requirements into functional specifications, technical designs, and implementation plans.</li><li>Research, evaluate, and recommend technologies, platforms, tools, and development approaches.</li><li>Design, develop, test, and deploy software applications, integrations, and database solutions.</li><li>Collaborate with project teams to define priorities, estimate effort, and support project delivery.</li><li>Assist with identifying, tracking, and resolving project risks, issues, and dependencies.</li><li>Work with stakeholders to provide status updates, gather feedback, and ensure alignment with project objectives.</li><li>Develop and maintain technical documentation, including system designs, processes, configurations, and support materials.</li><li>Troubleshoot, maintain, and enhance existing applications and systems.</li><li>Support cloud-based and enterprise technology environments as needed.</li><li>Participate in quality assurance, testing, and continuous improvement activities.</li><li>Perform other related duties and responsibilities as assigned.</li></ul>Qualifications<ul><li>Experience in software development, application support, or systems implementation.</li><li>Knowledge of software development methodologies and best practices.</li><li>Experience with databases, application design, and system integration concepts.</li><li>Strong analytical, problem-solving, and organizational skills.</li><li>Ability to manage multiple priorities and work effectively in a team environment.</li><li>Strong written and verbal communication skills.</li><li>Ability to learn new technologies and adapt to changing business needs.</li></ul>
2026-10-15T00:00:00Z

Data Analyst

Moline, IL
onsite
Temporary to Hire
42.75 - 49.5 USD / Hourly
We are looking for a Data Analyst to join a financial services organization in Moline, Illinois on a contract-to-permanent basis. In this role, you will turn business questions into clear technical requirements and help teams use data to make informed decisions. You will work closely with stakeholders across business, technology, and security functions to support the development of reliable reporting and analytics solutions. Responsibilities: • Partner with business teams to gather, clarify, and document reporting and analytics needs in a way that supports technical development. • Convert business objectives into detailed specifications for data products, dashboards, and reporting solutions. • Act as a key connection point between operational stakeholders and analytics teams to ensure requirements are complete, accurate, and actionable. • Create meaningful visualizations and data narratives that help associates and members understand trends, performance, and opportunities. • Support the design and delivery of business intelligence solutions using reporting and analytics tools aligned with organizational needs. • Collaborate with information technology, data owners, and security partners to maintain data quality and uphold standards for confidentiality, integrity, and availability. • Analyze data sets to identify issues, answer business questions, and recommend practical solutions with minimal supervision. • Contribute to ongoing analytics initiatives by tracking requirements, coordinating feedback, and assisting with related project activities as needed.
2026-10-02T00:00:00Z

Data Analyst

Cincinnati, OH
remote
Temporary / Contract
75 - 85 USD / Hourly
Robert Half is seeking an IFS Enterprise Asset Management (EAM) Solution Architect to support a strategic asset management transformation initiative for a large asset-intensive client. This consultant will serve as a trusted advisor responsible for evaluating the client's current-state IFS EAM environment and designing a scalable future-state framework that improves asset reliability, maintenance effectiveness, governance, reporting, and operational decision-making. Apply today! Duration: 3 months contract with potential to extend, depending on performance Location: 100% Remote, occasional travel to SeattleSchedule: Open to candidates who’d be interested in Part Time or Full Time work Key Responsibilities<ul><li>Assess current-state IFS EAM configuration, business processes, data structures, and governance practices.</li><li>Lead discovery sessions and workshops with maintenance, operations, supply chain, engineering, IT, and business stakeholders.</li><li>Design scalable asset hierarchy models, equipment structures, and master data governance frameworks.</li><li>Evaluate and optimize maintenance planning, preventive maintenance, work order management, scheduling, and execution processes.</li><li>Develop recommendations for warehouse operations, spare parts management, BOM governance, and inventory controls.</li><li>Establish reliability and performance measurement frameworks, including KPIs, reporting models, and asset lifecycle metrics.</li><li>Identify opportunities to leverage standard IFS capabilities while reducing reliance on custom processes and workarounds.</li><li>Create future-state operating models, implementation roadmaps, and prioritized improvement initiatives.</li><li>Support organizational readiness, training, knowledge transfer, and adoption activities.</li><li>Provide strategic guidance throughout assessment, design, and optimization phases of the engagement.</li></ul>
2026-10-30T00:00:00Z

Data Analyst

New York, NY
onsite
Temporary / Contract
33 - 37 USD / Hourly
We are looking for a Data Analyst to join a FinTech organization on a long-term contract assignment. This role focuses on transforming commercial and sales data into meaningful analysis that supports pricing decisions, revenue planning, and opportunity evaluation. The successful candidate will work closely with cross-functional partners to develop clear reporting, validate critical business data, and deliver insights that strengthen decision-making across the business. Responsibilities: • Create analytical models and decision-support templates to assess new business and converted opportunities. • Evaluate deal economics by examining margins, pricing structures, and overall commercial viability. • Develop effective presentation materials that summarize commercial proposals and support stakeholder discussions. • Prepare internal review decks that clearly communicate deal performance, assumptions, and recommendation points. • Audit and maintain Salesforce data to improve accuracy, consistency, and reporting reliability. • Keep weekly tracking reports current by monitoring key metrics, updating performance data, and highlighting notable changes. • Analyze sales and pricing information to uncover trends, identify opportunities, and support more competitive market decisions.
2026-10-28T00:00:00Z

Data Analyst

Nashville, TN
remote
Permanent / Full Time
100000 - 120000 USD / Yearly
We are looking for a Data Analyst to support reliable data operations and help maintain the flow, quality, and usability of critical information across the organization. This role is based in Nashville, Tennessee, and is well suited for someone who combines strong Python and SQL skills with a methodical approach to troubleshooting data issues. The person in this position will work closely with technical teams and business partners to identify problems, improve pipeline performance, and keep stakeholders informed in a fast-paced environment. Responsibilities: • Oversee daily data processing activities to identify failed loads, broken workflows, or feed issues and take prompt action to restore normal operations. • Investigate delays in incoming data, determine underlying causes, and implement corrective steps to improve consistency and timeliness. • Collaborate with internal technology teams, delivery partners, and external vendors to communicate status updates, risks, and progress on data-related work. • Troubleshoot coding and data quality problems, fulfill support requests, and develop practical measures that reduce repeat incidents. • Evaluate competing issues independently, set priorities based on business impact, and recommend improvements to inefficient code or operational processes. • Maintain clear documentation and provide regular communication so stakeholders understand incidents, resolutions, and next steps. • Participate in an on-call support rotation to respond to pipeline or data availability incidents when needed. • Contribute to additional operational and analytical initiatives that strengthen data reliability and support organizational goals.
2026-10-01T00:00:00Z

Data Analyst I

Phoenix, AZ
onsite
Temporary / Contract
20 - 24 USD / Hourly
Data Analyst ILocation: Hybrid, 4 days onsite / 1 day remote Duration: Contract with potential for full-time conversion This entry-level Data Analyst opportunity is ideal for a highly curious, analytical, and proactive problem solver who enjoys identifying trends, investigating issues, improving processes, and driving operational efficiency. The role focuses on root cause analysis, process optimization, and collaborating with business partners to create sustainable operational improvements. Responsibilities:<ul><li>Identify trends, recurring issues, and opportunities for process improvement across operational workflows</li><li>Investigate root causes of issues and implement sustainable corrective actions</li><li>Analyze data from daily reports, closed tickets, and workflow activities to improve operational efficiency</li><li>Research, troubleshoot, and resolve complex or unfamiliar issues</li><li>Document findings, recommendations, process updates, and operational changes</li><li>Partner with stakeholders to streamline processes and eliminate unnecessary work</li><li>Monitor workflow performance and recommend enhancements to improve business outcomes</li><li>Support continuous improvement initiatives through data-driven analysis and problem-solving</li></ul>
2026-10-06T00:00:00Z

Data Scientist

Sacramento, CA
onsite
Temporary / Contract
65 - 70 USD / Hourly
100% Onsite Role. We are looking for a Data Scientist to support advanced analytics and machine learning initiatives in Sacramento, California. This Long-term Contract position focuses on creating practical, production-ready solutions that improve operational decision-making, with an early emphasis on predictive maintenance and fleet performance in asset-heavy environments. The role works closely with business leaders and technical teams to turn complex data into reliable models, useful insights, and scalable AI capabilities. Must have experience in construction, mining, transportation, manufacturing, energy, or other asset-intensive industries Responsibilities:• Build, test, and implement machine learning and analytical models using operational, maintenance, and telemetry data to improve equipment reliability and reduce unexpected downtime.• Create pilot solutions with measurable success criteria, then develop high-performing concepts into stable model pipelines suitable for ongoing production use.• Convert analytical results into clear recommendations, dashboards, or decision-support outputs that help both technical teams and business stakeholders act with confidence.• Partner with data engineering teams to shape requirements for data intake, transformation, feature creation, and model delivery across the broader data environment.• Document methodologies, assumptions, dependencies, and performance results to support transparency, repeatability, and effective model governance.• Provide input on enterprise data architecture needs from a data science perspective, including dataset design, feature availability, experiment tracking, and model readiness.• Identify data limitations, quality concerns, and enrichment opportunities that could influence model accuracy or business value.• Work with cross-functional partners to define new analytics and AI opportunities and assess external tools or vendor-developed solutions when needed.
2026-10-16T00:00:00Z

Data Scientist

Los Angeles, CA
onsite
Permanent / Full Time
70000 - 90000 USD / Yearly
We are looking for a Data Scientist to join our clients pricing and analytics team. This role is ideal for someone early in their career who combines strong statistical thinking with an interest in insurance economics, especially in areas such as pricing, reserving, and telematics-driven analysis. You will partner closely with senior pricing and actuarial leaders, working across the full analytical lifecycle from raw data exploration to business-facing recommendations. The position offers broad exposure to how insurance performance is measured, explained, and improved through disciplined modeling and clear communication. Responsibilities:• Perform end-to-end analytical work that supports insurance rate reviews, including data preparation, trend evaluation, loss development analysis, and documentation used for regulatory support.• Develop, test, and refine pricing and telematics models using statistical and machine learning techniques, ensuring results are accurate, explainable, and suitable for business use.• Assist with reserving analysis by working with loss triangles, development patterns, and ultimate loss estimates that align actuarial findings with financial reporting.• Create and maintain recurring performance dashboards and reporting that track key indicators such as loss ratios, claim frequency, claim severity, and cohort behavior.• Investigate unusual shifts in portfolio performance, segment results, or customer retention trends, and translate findings into actionable insights for the broader team.• Write organized, reusable code and data workflows that support independent analysis while making it easy for others to review and build on your work.• Collaborate with pricing and actuarial stakeholders to gradually take ownership of increasingly complex analyses and modeling assignments as your experience grows.• Communicate analytical conclusions clearly in written materials and presentations for audiences that need business impact explained without technical detail.
2026-10-19T00:00:00Z

Data Scientist

Atlanta, GA
onsite
Temporary / Contract
65 - 75 USD / Hourly
For our client, we are seeking a Data Scientist to develop advanced analytics, predictive models, and machine learning solutions that support strategic business decisions. This individual will work with large datasets, identify meaningful patterns, and collaborate with technical and business teams to deliver actionable insights through statistical analysis, data modeling, and artificial intelligence.
2026-10-23T00:00:00Z

Data Scientist

Dover, DE
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Scientist to support advanced data initiatives in Dover, Delaware. This Long-term Contract position focuses on building scalable data solutions, uncovering actionable insights, and helping stakeholders make informed decisions through reliable analysis. The ideal candidate brings strong technical depth across modern data platforms and is comfortable working with large, complex datasets in a collaborative environment. Responsibilities: • Design and maintain data pipelines that collect, transform, and prepare large datasets for analytical and operational use. • Develop statistical models and data-driven solutions that help identify trends, improve forecasting, and support business strategy. • Use Python and distributed processing tools to analyze high-volume data efficiently and produce meaningful recommendations. • Work with Spark and Hadoop-based environments to manage large-scale data processing and support advanced analytics workloads. • Integrate streaming and batch data from multiple sources, including Kafka, to ensure timely and accurate data availability. • Partner with cross-functional teams to translate business questions into analytical approaches, technical requirements, and measurable outcomes. • Build ETL workflows that improve data quality, consistency, and accessibility across reporting and analytical platforms. • Document methodologies, assumptions, and results clearly so that technical and non-technical stakeholders can understand key findings.
2026-10-30T00:00:00Z

Business Analytics/Data Analyst

Arlington, TX
onsite
Temporary / Contract
40.85 - 47.3 USD / Hourly
We are looking for a Business Analytics/Data Analyst to support data-driven decision-making for a Contract position based in Arlington, Texas. This role focuses on transforming complex contract and business data into clear insights that improve reporting, compliance awareness, and operational performance. The ideal candidate will combine strong analytical capability with business intelligence expertise to interpret trends, validate information, and deliver actionable recommendations. Responsibilities: • Analyze business and contract-related data to identify patterns, exceptions, and opportunities for improved decision-making. • Build and maintain business intelligence reports, dashboards, and visual summaries that present findings clearly to stakeholders. • Review commercial contract information and related records to support audits, data validation, and reporting accuracy. • Extract, organize, and abstract data from multiple sources to create reliable datasets for analysis and business review. • Use analytical tools to evaluate performance metrics, contract terms, and operational results across key business areas. • Partner with internal teams to clarify reporting needs, refine data requirements, and provide insight into business trends. • Monitor data quality by investigating inconsistencies, resolving discrepancies, and promoting accurate documentation standards. • Prepare concise summaries and recommendations that help leadership understand risks, results, and areas for improvement.
2026-10-28T00:00:00Z

Business Analytics/Data Analyst

Belmont, NC
onsite
Temporary / Contract
31.6635 - 36.663 USD / Hourly
We are looking for an experienced Business Analytics/Data Analyst to support a contract financial data review initiative for a higher education organization in North Carolina. This 3-month assignment is suited for a hands-on accounting and analytics specialist who can investigate reporting inconsistencies, validate financial data, and strengthen trust in management reporting. The role will work closely with finance leadership to examine complex records, resolve discrepancies, and deliver clear, fact-based insights that improve reporting accuracy. Responsibilities: • Examine financial and operational information across Financial Edge and Colleague to uncover inconsistencies and support accurate reporting. • Complete detailed reconciliations involving balance sheet accounts, subsidiary records, general ledger activity, and transaction-level data. • Investigate historical accounting entries to confirm balances, explain variances, and resolve outstanding issues. • Review payroll distributions and expense coding to verify that costs are assigned appropriately across departments and functions. • Assist with month-end accounting tasks by preparing journal entries, analyzing accruals, and supporting close-related reviews. • Evaluate the effectiveness of current reporting structures and identify areas where corrections or refinements are needed. • Create concise documentation of findings, reconciliation methods, and recommended process improvements for finance stakeholders. • Partner with accounting and finance leadership to provide practical recommendations that increase confidence in financial data integrity. • Use advanced Excel and related reporting tools to analyze large data sets and produce ad hoc financial reporting as needed.
2026-10-30T00:00:00Z

Data Scientist, Growth Analytics

San Francisco, CA
remote
Temporary / Contract
75 - 85 USD / Hourly
We are looking for a Data Scientist/Analyst to support a fintech client in a long-term remote, contract role. This position focuses on measuring growth performance, improving marketing analytics, and translating complex data into clear business recommendations for senior leaders. The ideal candidate brings strong technical depth, practical experimentation expertise, and the ability to work cross-functionally in a fast-moving environment. Responsibilities:• Lead analysis of paid acquisition performance across marketing channels, connecting spend trends to outcomes and broader business impact• Create and maintain dashboards and reporting tools that give leadership clear visibility into growth and marketing results• Assess promotional offers and acquisition strategies using experiments, causal methods, and comparative cohort analysis• Examine channel and cohort performance to uncover drivers of member growth, efficiency, and retention• Review and apply marketing mix modeling results to inform investment planning and budget allocation decisions• Partner with data engineering teams to strengthen attribution methods and improve the reliability of marketing measurement• Build automated analytical workflows using Snowflake, dbt, and related tools to streamline recurring insights• Work closely with marketing, growth, finance, and data partners to shape measurement frameworks and business decisions• Present findings and recommendations to executive stakeholders in a concise and actionable way• Provide guidance to other analytics contributors and help raise standards for high-impact data science work
2026-10-30T00:00:00Z

Data Analyst Basic (1-3 years)

Newark, DE
onsite
Temporary / Contract
30 - 30 USD / Hourly
<ul><li>Position: Data Analyst - Legal Entity Management (Contract-to-Hire)</li><li>Location: Newark, DE 19713</li><li>Schedule: 100% Onsite, Monday-Friday, 9:00 AM - 5:00 PM</li><li>Required Experience: 2+ years of experience working with legal entity documentation, onboarding, data gathering, or financial services operations</li><li>Tentative Pay Rate: $30.00 per hour</li></ul>Job DescriptionOur client is seeking a detail-oriented Data Analyst to join the CAPO - Legal Entity Management team supporting Global Alternatives. This role is responsible for reviewing and interpreting legal entity documentation, supporting entity onboarding and maintenance activities, ensuring data quality, and partnering with stakeholders across the business to meet regulatory and operational requirements.The ideal candidate will have strong analytical skills, experience handling sensitive information, exceptional attention to detail, and the ability to manage multiple priorities in a fast-paced environment.Key Responsibilities<ul><li>Support end-to-end legal entity onboarding and maintenance across firmwide platforms</li><li>Review, analyze, and interpret legal entity documents and supporting records</li><li>Gather, validate, and maintain legal entity and financial data</li><li>Handle sensitive PII and ensure compliance with data retention requirements</li><li>Prepare and support monthly, quarterly, and annual reporting activities</li><li>Maintain audit-ready documentation and evidence supporting regulatory controls</li><li>Partner with business stakeholders, operations teams, controllers, and regulatory groups</li><li>Conduct data quality reviews and resolve documentation or data discrepancies</li><li>Assist with process improvement initiatives, automation opportunities, and data governance projects</li><li>Support special projects aligned with legal entity management and reporting objectives</li></ul>
2026-10-20T00:00:00Z

Data Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking a Data Engineer to develop and maintain scalable data pipelines and cloud-based data platforms. This role will work closely with analytics and business teams to deliver reliable, high-quality data solutions.Responsibilities<ul><li>Build and maintain ETL/ELT processes.</li><li>Develop data pipelines for structured and unstructured data.</li><li>Support enterprise data warehouse solutions.</li><li>Optimize data models and database performance.</li><li>Implement data quality and governance standards.</li><li>Collaborate with business intelligence teams.</li></ul>
2026-10-09T00:00:00Z

Data Engineer

Saddle Brook, NJ
onsite
Temporary to Hire
75 - 75 USD / Hourly
We are looking for a Data Engineer to join a Chemicals Manufacturing organization in New Jersey in a contract-to-permanent capacity. This role focuses on creating reliable, secure, and scalable data solutions that connect operational and business systems to enterprise reporting, analytics, and advanced data use cases. The position will work across IT and operational environments to support trusted data delivery for functions such as finance, supply chain, operations, commercial teams, and corporate analytics. Responsibilities:• Design, build, and maintain large-scale data pipelines that move information from enterprise and operational source systems into structured data layers for analytics and reporting.• Develop curated and semantic data models that support business intelligence platforms, downstream applications, and data-driven decision-making across the organization.• Connect manufacturing and operational technology data sources using approved integration methods while coordinating with plant and controls teams to protect system reliability and safety.• Establish data quality standards through validation rules, automated testing, and monitoring processes that improve accuracy, completeness, and timeliness of delivered datasets.• Implement observability practices such as lineage tracking, alerting, and operational runbooks to strengthen support processes and reduce production issues.• Apply security and governance controls including access management, secrets handling, data classification, and retention practices aligned with enterprise policies.• Automate deployment workflows with Git-based CI/CD processes to promote consistent releases across environments and improve delivery reliability.• Tune platform performance and resource usage by optimizing processing strategies, scaling approaches, and storage patterns to balance speed and cost.• Partner with BI, data, and IT stakeholders to define data contracts, document solutions, and provide operational knowledge transfer to internal teams and external partners. 02710-0013476075
2026-10-22T00:00:00Z

Data Engineer

Atlanta, GA
remote
Temporary / Contract
47.5 - 55 USD / Hourly
We are looking for a Data Engineer to support data-driven initiatives for a services environment in Southern California. This Long-term Contract position focuses on building reliable data pipelines, improving data availability, and enabling scalable processing for analytics and operational needs. The ideal candidate brings strong hands-on experience with modern data engineering tools and can work across large data sets with accuracy and efficiency. Role :<ul><li>Design, develop, maintain, and optimize business intelligence solutions, ETL workflows, reporting systems, and data integration processes.</li><li>Collaborate with business, analytics, and technical teams to gather requirements and deliver reporting and analytics solutions.</li><li>Develop and maintain data models, SQL scripts, stored procedures, dashboards, and reporting solutions.</li><li>Build, optimize, and support ETL pipelines across on-premises and cloud environments.</li><li>Troubleshoot and resolve complex reporting, data quality, performance, and integration issues.</li><li>Validate reporting logic, data transformations, and reporting accuracy.</li><li>Perform performance tuning for SQL queries, stored procedures, ETL workflows, and reporting platforms.</li><li>Participate in architecture discussions and provide technical recommendations aligned with business objectives.</li><li>Create and maintain technical documentation including solution designs, data mappings, and operational procedures.</li><li>Participate in code reviews and enforce development, reporting, and data governance standards.</li><li>Mentor junior developers through technical guidance and knowledge-sharing activities.</li><li>Support Agile delivery activities including sprint planning, backlog refinement, and project execution.</li><li>Collaborate with stakeholders and leadership teams to support business intelligence initiatives.</li><li>Drive continuous improvement initiatives related to reporting quality, analytics performance, and operational efficiency.</li></ul>
2026-10-28T00:00:00Z

Data Engineer

Commerce, CA
onsite
Permanent / Full Time
140000 - 160000 USD / Yearly
Lead Data EngineerSalary: Up to $160,000 Location:On-Site | South Los Angeles AreaEmployment Type: Full-Time Build the Foundation for Enterprise Analytics We are seeking a Lead Data Engineer to drive the architecture, modernization, and expansion of a growing enterprise data platform built within the Microsoft Azure ecosystem. This is a highly visible technical leadership role where you'll help shape the future of data across multiple business functions by building scalable, secure, and high-performing data solutions. If you're passionate about Databricks, cloud data platforms, and mentoring engineering teams while remaining hands-on with development, this is an opportunity to make a significant impact. What You'll Do<ul><li>Lead the design, implementation, and optimization of an enterprise Azure Databricks Lakehouse environment utilizing Bronze, Silver, and Gold data layers.</li><li>Architect and execute migrations from SQL Server and legacy platforms into modern cloud-native data solutions.</li><li>Develop and optimize large-scale ETL/ELT pipelines supporting operational reporting, business intelligence, advanced analytics, and data science initiatives.</li><li>Integrate data from multiple enterprise systems, APIs, operational platforms, and third-party sources.</li><li>Establish best practices for data engineering, data modeling, testing, CI/CD, monitoring, governance, and production support.</li><li>Implement and maintain data governance frameworks, security controls, lineage tracking, and access management.</li><li>Lead code reviews, technical design discussions, and engineering standards across the data team.</li><li>Mentor and support data engineers while fostering a culture of technical excellence.</li><li>Partner closely with business stakeholders, analysts, and data scientists to deliver trusted, scalable data products.</li></ul>For immediate consideration, apply now and direct message Reid Gormly on LINKEDIN
2026-10-15T00:00:00Z

Data Engineer

Los Angeles, CA
onsite
Permanent / Full Time
150000 - 220000 USD / Yearly
We are looking for a Data Engineer to build and enhance reporting and data solutions that help teams make informed business decisions across the organization. This role partners with groups such as asset management, acquisitions, accounting, and HR to translate business needs into scalable dashboards, reliable data pipelines, and actionable insights. Based in Los Angeles, California, the position is ideal for someone who combines strong technical depth with the ability to explain findings clearly to a range of stakeholders. Responsibilities:• Create and refine dashboards, reports, and automated data outputs using tools such as Python, Excel, and Power BI to support operational and strategic reporting needs.• Examine large and varied datasets to uncover meaningful trends, performance indicators, and opportunities for improvement.• Guide and support entry-level BI team members by reviewing work, sharing best practices, and contributing to their career growth.• Partner with stakeholders across multiple business functions to define reporting goals, gather technical requirements, and deliver effective data solutions.• Translate technical concepts and analytical results into clear recommendations for non-technical audiences.• Contribute to cross-department initiatives that improve data availability, reporting consistency, and overall usability of business information.• Develop and maintain queries, procedures, and data workflows to support extraction, transformation, and loading activities across reporting environments.• Monitor data quality through validation checks, issue resolution, and routine audits to maintain accuracy and reliability.• Administer BI platforms with attention to performance, access control, and system stability while assisting users with adoption and training. For immediate consideration, apply now and direct message Reid Gormly on LinkedIn
2026-10-28T00:00:00Z

Data Engineer

Pittsburgh, PA
onsite
Temporary / Contract
80000 - 160000 USD / Yearly
We are looking for Data Engineering and Analytics Engineering professionals interested in exploring new opportunities with growing organizations across the Pittsburgh market. We are partnering with multiple companies that are investing in modern data platforms, cloud infrastructure, and enterprise analytics initiatives. Location: Pittsburgh, PA (Hybrid, Remote, and Onsite Opportunities Available)Compensation: $80,000 - $160,000+ depending on experience and positionSchedule: Full-Time Opportunities May Include:<ul><li>Data Engineer</li><li>Senior Data Engineer</li><li>Analytics Engineer</li><li>Data Platform Engineer</li><li>Data Warehouse Engineer</li><li>Cloud Data Engineer</li><li>ETL/ELT Developer</li><li>Data Architect</li><li>Lead Data Engineer</li></ul>Responsibilities:<ul><li>Design, develop, and maintain scalable data pipelines and data platforms</li><li>Build and optimize ETL/ELT processes supporting analytics and business operations</li><li>Develop and manage cloud-based data solutions and data warehouses</li><li>Partner with analytics, business, and technology teams to deliver trusted data products</li><li>Ensure data quality, reliability, governance, and performance across enterprise environments</li><li>Automate data workflows and support modern data engineering best practices</li><li>Support reporting, analytics, AI, and machine learning initiatives through effective data architecture</li></ul>
2026-10-14T00:00:00Z

Data Engineer

Boca Raton, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
The Data Engineer will develop and maintain scalable data pipelines and cloud-based data solutions that support analytics and business intelligence initiatives.Responsibilities<ul><li>Design and build ETL/ELT processes.</li><li>Develop data pipelines using Python and SQL.</li><li>Optimize data warehouse performance.</li><li>Work with stakeholders to gather data requirements.</li><li>Support data governance and quality initiatives.</li></ul>
2026-10-22T00:00:00Z

314 results for Data Analyst in Usa