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116 results for Big Data Analytics jobs

Web Analytics Specialist

Philadelphia, PA
remote
Temporary / Contract
35.625 - 41.25 USD / Hourly
We are looking for a Web Analytics Specialist to support digital measurement and insight generation for a healthcare-focused organization in Philadelphia, Pennsylvania. This Long-term Contract role is ideal for a mid-level analyst who combines strong technical capabilities with sharp business judgment, turning complex web data into clear recommendations for cross-functional partners. The person in this position will help shape how marketing, campaign, and paid media performance are measured while contributing to a collaborative, insight-driven team environment. Responsibilities: • Design, update, and optimize Power BI dashboards that give stakeholders clear visibility into website, campaign, and funnel performance. • Analyze digital behavior and marketing results to uncover trends, explain performance shifts, and translate findings into practical recommendations. • Develop meaningful measurement frameworks and introduce new KPIs that improve how online engagement and conversion activity are evaluated. • Use website analytics data to answer detailed business questions, including page-level interaction patterns and audience engagement across digital properties. • Work closely with marketing, web, data, and engineering partners to align reporting needs, improve data usability, and support informed decision-making. • Oversee recurring performance reporting while also responding to ad hoc analytical requests tied to evolving business priorities. • Manage multiple stakeholder needs at once, ensuring deadlines are met without losing focus on quality or strategic value. • Query and interpret data within Databricks and collaborate with engineering teams on data accessibility, structure, and analytics readiness. • Support analytics tagging and tracking initiatives through tools such as Tealium and contribute to reporting environments connected to layered data models, including Silver and Gold data assets.
2026-07-21T00:00:00Z

BI Analyst

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking a highly analytical Business Intelligence (BI) Analyst to transform data into actionable insights that drive business decisions. This role will be responsible for developing dashboards, reporting solutions, and analytics using Power BI, while partnering with business stakeholders to identify trends, improve processes, and support strategic initiatives.The ideal candidate has strong experience with Power BI, data visualization, reporting, and business analysis, along with the ability to communicate insights to both technical and non-technical audiences.Responsibilities<ul><li>Design, develop, and maintain interactive Power BI dashboards and reports</li><li>Gather reporting requirements from business stakeholders and translate them into functional analytics solutions</li><li>Analyze large datasets to identify trends, opportunities, and business insights</li><li>Develop and track key performance indicators (KPIs) and operational metrics</li><li>Create data models and optimize report performance</li><li>Collaborate with business leaders to support strategic and operational decision-making</li><li>Perform ad hoc reporting and data analysis as needed</li><li>Ensure data accuracy, integrity, and consistency across reporting platforms</li><li>Document reporting processes, data definitions, and dashboard specifications</li><li>Present findings and recommendations to leadership and business stakeholders</li></ul>
2026-08-06T00:00:00Z

Business Analyst (Healthcare, EDI, eCommerce)

Florham Park, NJ
onsite
Permanent / Full Time
110000 - 130000 USD / Yearly
We are seeking an experienced Senior Software Business Analyst to help deliver business-critical software solutions. This role serves as the bridge between business stakeholders and technical teams, ensuring requirements are clearly defined, analyzed, and translated into functional specifications. The ideal candidate will bring strong analytical skills, experience in software development environments, and the ability to manage multiple priorities in a fast-paced setting. Responsibilities:<ul><li>Gather, analyze, and translate business requirements for new and existing systems</li><li>Perform gap analyses and document workflows, wireframes, use cases, and functional specs</li><li>Partner with development and QA teams to review scope, track progress, resolve roadblocks, and support testing</li><li>Communicate project status, timelines, risks, and issues to stakeholders</li><li>Evaluate solutions for scalability, usability, and implementation readiness</li><li>Analyze processes, identify inefficiencies, and recommend improvements</li><li>Support system enhancements and ensure compliance with HIPAA and related regulations</li><li>Mentor junior analysts and contribute to reporting and process standards</li></ul>
2026-07-27T00:00:00Z

Business Intelligence (BI) Manager

West Des Moines, IA
onsite
Temporary to Hire
0 - 0 USD / Yearly
We are looking for a Business Intelligence (BI) Manager to guide the development of a modern enterprise analytics environment for a contract opportunity with permanent potential based in West Des Moines, Iowa. In this role, you will shape data strategy, strengthen governance practices, and expand reporting capabilities that help leaders make informed decisions across the organization. The position focuses on building scalable analytics solutions, connecting data from multiple business platforms, and leading a team that turns complex information into practical business insight. Responsibilities: • Create and carry out a long-range BI and analytics roadmap that supports organizational priorities and future technology direction. • Direct the advancement of enterprise reporting and analytics platforms, including cloud-based data environments and legacy BI systems, to improve scalability and usability. • Establish strong data governance, quality controls, and master data practices so reporting remains reliable and consistent across business functions. • Lead the design and delivery of dashboards, KPI frameworks, self-service reporting tools, and advanced analytics capabilities such as predictive insights and anomaly monitoring. • Oversee the BI technology ecosystem, including platform integrations, system performance, and connectivity with ERP applications, cloud services, databases, and external data sources. • Collaborate with executives, business partners, architects, and IT teams to prioritize initiatives and identify opportunities to improve operations through analytics. • Guide organizational adoption of modern analytics practices by driving communication, stakeholder alignment, and change management efforts. • Build and mentor a high-performing BI team by setting clear expectations, encouraging skill development, and promoting accountability and innovation. • Manage budgets, vendor relationships, delivery metrics, and operational performance to ensure stable, cost-effective analytics services. • Support enterprise data modernization efforts, including transitions from traditional SAP BW environments to newer SAP data and analytics platforms when applicable.
2026-08-05T00:00:00Z

Database Management IV

Washington, DC
onsite
Temporary / Contract
45 - 50 USD / Hourly
We are looking for an experienced Database Management IV specialist with strong attention to detail to support complex database administration initiatives. This long-term contract position is suited for a senior specialist who can guide database design, strengthen data reliability, and help deliver high-impact technical outcomes across multiple functions. The role calls for strong judgment, clear communication, and the ability to resolve advanced database challenges while collaborating with internal stakeholders and external partners. Responsibilities: • Lead the planning, design, and ongoing administration of database environments to support business and program objectives. • Create and maintain database structures, technical documentation, and operational standards that promote stability, security, and scalability. • Monitor data quality and enforce controls that protect accuracy, consistency, and overall integrity across database systems. • Oversee backup, recovery, and restoration practices to ensure business continuity and dependable system performance. • Evaluate existing database tools and platforms, recommending improvements, upgrades, and optimization opportunities where needed. • Troubleshoot complex database issues that affect multiple teams or technical areas and develop effective long-term solutions. • Partner with cross-functional teams, client representatives, and third-party vendors to align database solutions with project requirements. • Provide technical guidance, knowledge sharing, and process support to team members while influencing sound implementation approaches.
2026-07-21T00:00:00Z

Power BI Analyst

San Francisco, CA
remote
Temporary / Contract
50 - 55 USD / Hourly
We are looking for a Power BI Analyst to join a healthcare organization in San Francisco, California on a contract basis. In this role, you will turn operational and business data into clear, reliable reporting tools that support decision-making across the organization. The position is well suited for someone who combines business analysis expertise with strong Power BI development skills and a careful approach to data accuracy, documentation, and process improvement. Responsibilities:• Build and maintain Power BI datasets, dataflows, semantic layers, and related reporting structures that support ongoing analytical and operational needs.• Produce scheduled reports for business stakeholders, ensure timely distribution, and investigate reporting issues or data discrepancies when they arise.• Partner with BI leadership on project-based analysis and ad hoc requests by creating reporting solutions, validating output, documenting methods, and testing updates.• Create, publish, and enhance dashboards and reports in Power BI while following established request intake, prioritization, and change control practices.• Oversee report refresh activities, monitor dashboard performance, and resolve data or processing issues to keep business intelligence products dependable.• Carry out quality review procedures for new and existing reports to confirm that results are accurate, consistent, and aligned with business expectations before release.• Improve report efficiency and scalability through data model refinement, query optimization, and targeted enhancements to the reporting environment.• Maintain clear business and technical documentation, including metric definitions, report specifications, and supporting reference materials based on team standards.• Reconcile and validate data across multiple source systems to strengthen confidence in reporting outputs and support data warehouse improvement efforts through testing and implementation assistance
2026-08-03T00:00:00Z

Salesforce CRM Data Governance & Account Quality Analyst

Westchester, IL
remote
Temporary / Contract
52.25 - 60.5 USD / Hourly
We are looking for a detail-oriented Salesforce CRM Data Governance & Account Quality Analyst to strengthen the integrity of customer account data in Salesforce for a Long-term Contract position based in Westchester, Illinois. In this role, you will help build reliable account data practices by reviewing records for accuracy, improving governance standards, and supporting scalable processes that enhance reporting, ownership alignment, and account visibility. You will collaborate with cross-functional teams to investigate data issues, validate account information, and recommend practical improvements that support consistent account management across the organization. Responsibilities: • Partner with business and operational teams to shape account data standards, required record attributes, and structured criteria for new account setup. • Analyze large Salesforce datasets to uncover duplicate records, incomplete account details, hierarchy conflicts, and other data issues affecting account quality. • Investigate recurring data problems, determine underlying causes, and document recommendations that strengthen ongoing data stewardship practices. • Verify company names, addresses, ownership assignments, industry designations, and parent-child relationships using internal references and external research sources. • Support duplicate management efforts by refining detection logic, evaluating merge candidates, and applying record consolidation guidelines to preserve the most reliable account data. • Carry out account remediation activities such as standardizing naming conventions, correcting ownership and hierarchy details, and resolving incomplete or inaccurate account information. • Maintain process documentation, governance procedures, and business rules related to account validation, duplicate review, and stewardship workflows. • Build dashboards, scorecards, and trend reporting to track data quality performance, remediation backlogs, and validation progress, then present insights to stakeholders. • Assist with exception handling and downstream impact reviews when account merges or record corrections require careful coordination across related processes.
2026-07-10T00:00:00Z

Cloud Developer

New York, NY
remote
Temporary / Contract
70 - 80 USD / Hourly
We are looking for a Cloud Developer to join a Contract engagement. This role is focused on building and enhancing Salesforce Revenue Cloud Advanced solutions, with an emphasis on product setup, pricing design, quoting workflows, and contract-related functionality. The ideal candidate brings deep configuration experience, strong deployment knowledge across environments, and the ability to partner with cross-functional teams to deliver reliable, scalable business solutions. Responsibilities:• Build and configure Salesforce Revenue Cloud Advanced solutions to support complex commercial and operational needs.• Create and manage product catalogs, product structures, and configuration frameworks that enable accurate solution design.• Develop constraint models, business rules, and validation logic within the Advanced Product Configurator to guide compliant product selection.• Set up pricing capabilities using procedures, matrices, discovery tools, expression logic, and tailored pricing functionality.• Support end-to-end quote and contract processes, including amendments, renewals, and related lifecycle activities.• Move Revenue Cloud metadata, configuration elements, and custom components through development, testing, and production environments.• Investigate deployment challenges, resolve release-related issues, and contribute to smooth implementation cycles.• Work closely with stakeholders, functional specialists, and technical teams to translate requirements into scalable cloud solutions.
2026-08-05T00:00:00Z

Oracle FDI - Data Reporting Analyst

Reading, PA
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a skilled Oracle FDI - Data Reporting Analyst to join a Long-term Contract opportunity in Reading, Pennsylvania. In this role, you will create and improve reporting solutions that help teams understand workforce performance, operational activity, and broader business trends. You will work closely with both business partners and technical teams to turn data needs into practical dashboards, reports, and insights that support informed decision-making. Responsibilities: • Design, build, and refine dashboards, recurring reports, and visual analytics that support enterprise reporting objectives. • Use Oracle Fusion Data Intelligence to gather, interpret, and present workforce and business data in a meaningful way. • Collaborate with Workforce Technology leaders and cross-functional stakeholders to define reporting needs and deliver useful data solutions. • Perform data preparation activities such as validation, transformation, and modeling to improve the reliability of reporting outputs. • Connect and organize data from multiple sources to support scalable analytics across reporting environments. • Analyze patterns and reporting results to highlight trends, strengthen data quality, and support business decisions. • Maintain and enhance existing reporting assets to ensure they remain accurate, relevant, and aligned with organizational priorities.
2026-07-31T00:00:00Z

Staff Data Platform Engineer

San Francisco, CA
remote
Permanent / Full Time
200000 - 250000 USD / Yearly
100% Remote!! We are looking for an experienced Staff Data Platform Engineer to lead the design and long-term direction of a foundational data platform in San Francisco, California. In this role, you will shape how critical operational data is modeled, governed, and accessed to support automation in a highly regulated healthcare environment. You will combine architectural leadership with hands-on engineering to build reliable, scalable systems that enable product teams to move quickly while maintaining accuracy, performance, and audit readiness. Responsibilities:• Lead the architecture and ongoing refinement of core data structures, including business entities, system events, and traceable records for automated outcomes.• Develop and maintain the platform services and storage layers that support AI-enabled workflows, ensuring data is both usable for decision-making and controlled for compliance needs.• Create approaches for organizing, versioning, and retrieving domain knowledge so the platform can expand in capability as product needs evolve.• Define stable data interfaces and platform APIs that allow engineering teams to build new functionality against dependable contracts.• Improve scalability and system resilience to support rapid growth in users, workload volume, and transaction complexity.• Partner with product and engineering leaders to set technical priorities, evaluate tradeoffs, and guide platform strategy.• Write production-quality backend code and contribute directly to implementation across the data platform stack.• Strengthen observability, testing, and data quality practices to protect integrity and support effective incident response.
2026-07-31T00:00:00Z

Machine Learning Engineer

Los Angeles, CA
onsite
Permanent / Full Time
180000 - 210000 USD / Yearly
We are looking for a Machine Learning Engineer to build and support production-ready AI systems in Los Angeles, California. This position focuses on creating reliable machine learning infrastructure, enabling scalable model operations, and advancing generative AI solutions that improve access to business-critical information. The ideal candidate will combine strong platform engineering skills with hands-on experience deploying models, automating workflows, and maintaining high standards for quality, governance, and performance. Responsibilities: • Build and maintain scalable machine learning infrastructure in Databricks, including experiment tracking, model management, and serving capabilities for production use. • Create and improve MLOps frameworks and automated deployment pipelines that support model release, monitoring, and lifecycle management. • Establish disciplined processes for model version control, retraining, and artifact governance using tools such as Unity Catalog. • Develop and administer a feature store strategy that keeps training and inference data consistent across machine learning workflows. • Design retrieval-augmented generation solutions that allow internal teams to search and interact with documents such as fund materials, investor communications, and research content. • Implement and manage vector search platforms to support semantic retrieval across large collections of enterprise documents. • Customize and fine-tune large language models using proprietary datasets while protecting data privacy and meeting compliance expectations. • Build document ingestion and transformation pipelines that handle parsing, segmentation, and embedding creation for generative AI applications. • Introduce prompt design standards, evaluation methods, and application safeguards to improve response quality, reduce hallucinations, and provide source-backed outputs. • Automate training, testing, orchestration, and deployment workflows through CI/CD pipelines and tools such as Databricks Workflows, GitHub Actions, Azure DevOps, Airflow, or Prefect.
2026-07-29T00:00:00Z

Machine Learning Engineer

Los Angeles, CA
onsite
Permanent / Full Time
200000 - 260000 USD / Yearly
RESPONSIBILITIES: ML Model Deployment & Platform Management • Lead the design, implementation, and ongoing maintenance of scalable ML infrastructure on Databricks, including ML flow for experiment tracking, model registry, and model serving endpoints. • Oversee the development of the ML Ops platform and automated pipelines for deploying, monitoring, and maintaining models within production environments. • Implement robust solutions for model versioning, systematic retraining, and comprehensive artifact management using Databricks Unity Catalog for ML governance. • Design and manage Databricks Feature Store for consistent feature engineering across training and inference pipelines. Generative AI & LLM Operations • Architect and implement Retrieval-Augmented Generation (RAG) systems for document Q&A, enabling business teams to query fund documents, investor letters, and market research. • Design, deploy, and manage vector database solutions (Databricks Vector Search, Pinecone, or similar) for semantic search and retrieval across enterprise documents. • Lead LLM fine-tuning and customization initiatives, training models like Claude or open-source alternatives with CIM proprietary data while ensuring data privacy and compliance. • Develop and optimize document processing pipelines including PDF parsing, chunking strategies, and embedding generation for RAG applications. • Implement prompt engineering best practices and LLM evaluation frameworks to ensure output quality, relevance, and factual accuracy. • Build guardrails and safety measures for GenAI applications, including hallucination detection, output validation, and source attribution. Automation & CI/CD Pipelines • Design and implement extensive automation across the ML workflow, covering model training, testing, validation, and deployment using Databricks Workflows and Asset Bundles. • Set up robust CI/CD pipelines for both traditional ML models and GenAI applications, leveraging GitHub Actions, Azure DevOps, or similar tools. • Automate complex data and model workflows utilizing orchestration tools such as Airflow, Prefect, or Databricks Workflows.
2026-07-29T00:00:00Z

Machine Learning Engineer

Herndon, VA
onsite
Temporary / Contract
70 - 75 USD / Hourly
Machine Learning EngineerPay: $70-75/hr, available solely on W2 BasisConsultant I (Contractor)Work Location: Reston, VA (4x onsite)Engagement Type: 34 Week Contract, Potential for Extension or ConversionPosition OverviewWe are seeking a Machine Learning Engineer to support the design, development, and optimization of machine learning solutions for real‑world applications. This role focuses on model development, data pipeline construction, and performance evaluation within a collaborative engineering environment.Key Responsibilities<ul><li>Design, build, train, and evaluate machine learning and deep learning models for production and analytical use cases</li><li>Develop and maintain scalable data pipelines for data collection, cleaning, transformation, and ingestion</li><li>Conduct experiments and analyze performance metrics such as accuracy, recall, and AUC</li><li>Optimize models for performance, speed, reliability, and scalability</li><li>Collaborate with cross‑functional teams to support data‑driven solutions</li></ul>
2026-07-28T00:00:00Z

Sr Data Engineer

Salt Lake City, UT
onsite
Permanent / Full Time
140000 - 160000 USD / Yearly
We are looking for a Data Engineer to help design and enhance data solutions that support reliable reporting and analytics in Salt Lake City, Utah. This role focuses on building scalable data pipelines, shaping well-structured warehouse models, and improving the quality and usability of enterprise data assets. The ideal candidate brings strong experience with SQL, Python, AWS technologies, and dimensional modeling principles grounded in the Kimball methodology. Responsibilities: • Build and maintain data pipelines that ingest, transform, and prepare information for downstream analytics and business use. • Design warehouse structures using Kimball-based dimensional modeling practices to support clear, consistent reporting. • Develop and optimize SQL- and Python-driven data workflows with an emphasis on scalability, performance, and maintainability. • Partner with analysts, engineers, and business stakeholders to translate data needs into practical engineering solutions. • Create and manage data transformation logic using dbt to improve testing, documentation, and deployment consistency. • Support cloud-based data platforms in an AWS environment and contribute to ongoing improvements in data architecture. • Monitor data quality and troubleshoot pipeline issues to ensure dependable delivery of curated datasets. • Contribute to modern data engineering practices, including tools such as PySpark when needed for larger-scale processing.
2026-08-05T00:00:00Z

Cloud Engineering Specialist

Union, NJ
onsite
Temporary / Contract
42.75 - 49.5 USD / Hourly
We are looking for a skilled Cloud Engineering Specialist to support secure and reliable cloud services for a university environment in Union, New Jersey. This Long-term Contract position focuses on strengthening Microsoft 365 and related identity platforms while helping maintain resilient, scalable, and high-performing systems. The role is well suited for a hands-on cloud specialist who can balance technical problem-solving, automation, and cross-functional collaboration in a dynamic academic setting. Responsibilities: • Oversee daily administration and support of the Microsoft 365 environment to ensure dependable service delivery and strong platform performance. • Manage and enhance cloud and identity solutions across Azure, Active Directory, Exchange Online, SharePoint, and Okta-connected services. • Develop and maintain automation scripts, including PowerShell-based tasks, to improve efficiency, consistency, and operational control. • Troubleshoot authentication, access, and integration issues involving cloud platforms and federated identity services. • Partner with security, infrastructure, and application teams to strengthen the protection, availability, and scalability of institutional systems. • Produce reports and validate account or access data by reconciling information from connected enterprise platforms such as student-related systems. • Support cloud engineering initiatives by applying sound technical judgment and documenting solutions, configurations, and support processes.
2026-08-05T00:00:00Z

Senior Machine Learning Engineer

Houston, TX
onsite
Permanent / Full Time
140000 - 175000 USD / Yearly
As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced Machine Learning Engineer to join our high-impact data science team. This role offers the opportunity to work across trading, operations, and support functions—delivering production-grade machine learning systems that solve real business problems.You’ll collaborate with data scientists, software engineers, and commercial stakeholders to design, build, and deploy models that drive decision-making and innovation. From project scoping to model deployment, you’ll have visibility and influence across the full ML lifecycle.🔧 Core Responsibilities<ul><li>Act as a thought partner to commercial teams, identifying high-value opportunities for AI/ML applications</li><li>Lead the design, development, and deployment of machine learning systems, with a focus on NLP, LLMs, and Generative AI</li><li>Prioritize projects based on business impact and evolving market conditions</li><li>Collaborate with cross-functional teams to gather requirements and align solutions with strategic goals</li><li>Integrate ML solutions—including GenAI—into existing platforms to ensure seamless user experiences and scalable adoption</li><li>Participate in code reviews, experiment design, and tooling decisions to maintain high engineering standards</li><li>Share knowledge and mentor colleagues to build machine learning fluency across the organization</li></ul>
2026-07-14T00:00:00Z