324 results for Data Engineer in Usa

Data Engineer

Houston, TX
onsite
Temporary
0 - 0 USD / Yearly
We are seeking a skilled Azure Data Engineer to design, build, and maintain scalable data solutions on the Microsoft Azure platform. The ideal candidate will have strong experience developing data pipelines, optimizing data architectures, and supporting analytics and business intelligence initiatives. This role will work closely with data analysts, data scientists, and business stakeholders to ensure reliable, high-quality data is available for reporting and advanced analytics. Key Responsibilities<ul><li>Design, develop, and maintain scalable data pipelines and ETL/ELT processes using Azure data services.</li><li>Build and manage data solutions using tools such as Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Azure Databricks.</li><li>Develop and optimize data models, transformations, and storage strategies for large-scale structured and unstructured datasets.</li><li>Ensure data quality, integrity, and security across the data platform.</li><li>Monitor and troubleshoot data workflows, pipeline failures, and performance issues.</li><li>Collaborate with data analysts, BI developers, and data scientists to deliver reliable datasets for reporting and analytics.</li><li>Implement data governance and best practices for data management and documentation.</li><li>Automate data processes and deployments using CI/CD pipelines and infrastructure-as-code practices.</li><li>Optimize cost and performance of Azure data services.</li><li>Stay current with new Azure features, tools, and industry best practices.</li></ul>
2026-03-09T00:00:00Z

Data Engineer

Houston, TX
onsite
Temporary
0 - 0 USD / Yearly
Position OverviewWe are seeking a talented Data Engineer with strong experience in Python, AWS, and Databricks to design and build scalable data pipelines and modern data platforms. The ideal candidate will help develop and maintain data infrastructure that supports analytics, machine learning, and business intelligence initiatives. This role requires hands-on experience working with large datasets, cloud-native architectures, and distributed data processing frameworks. Key Responsibilities<ul><li>Design, build, and maintain scalable data pipelines and ETL/ELT workflows using Python and cloud technologies.</li><li>Develop and optimize data solutions using AWS services and Databricks.</li><li>Build and manage data lakes and data warehouses for structured and unstructured data.</li><li>Implement data transformation and processing pipelines using Apache Spark within Databricks.</li><li>Integrate data from multiple sources including APIs, databases, and streaming systems.</li><li>Ensure data quality, governance, security, and compliance across the data platform.</li><li>Monitor pipeline performance and troubleshoot data pipeline failures or latency issues.</li><li>Collaborate with data analysts, data scientists, and business stakeholders to deliver reliable datasets.</li><li>Optimize storage and compute costs within the AWS ecosystem.</li><li> </li></ul>
2026-03-09T00:00:00Z

Data Scientist

Philadelphia, PA
remote
Temporary
0 - 0 USD / Yearly
We are looking for a highly skilled Data Scientist to contribute to a long-term contract position within the healthcare industry. This role focuses on supporting the enterprise-wide launch of Power BI by creating and delivering engaging, high-quality learning materials. The ideal candidate will work remotely, collaborating closely with leadership and subject matter experts to empower analytics and non-analytics professionals to efficiently use Power BI in their daily tasks. Responsibilities: • Develop scalable learning experiences tailored to diverse user personas and varying levels of technical expertise. • Collaborate with the data literacy program team and Power BI specialists to ensure instructional content aligns with program objectives. • Translate complex concepts related to Power BI and business intelligence into accessible and engaging educational materials. • Design and deliver training programs using instructional design best practices and tools such as Camtasia, Adobe Creative Suite, or Articulate. • Conduct user interviews to understand learning challenges and tailor content to meet specific needs. • Enhance or create new data literacy resources, such as courses, modules, and curricula, to address emerging needs and best practices. • Evaluate and adapt existing educational materials to make them sustainable and applicable across the organization. • Participate in marketing efforts for the Data Literacy Program, including speaking engagements, blog posts, and other creative channels. • Identify opportunities for new program initiatives that support analytics tools and data literacy. • Serve as a subject matter expert in data literacy on national platforms through networking and conference participation.
2026-03-04T00:00:00Z

Data Scientist

Miami, FL
onsite
Temporary
0 - 0 USD / Yearly
Responsibilities:<ul><li>Collect, process, and analyze large structured and unstructured datasets to identify meaningful trends, patterns, and opportunities for business improvement</li><li>Develop, test, and deploy predictive models, machine learning algorithms, and statistical analyses to address key business challenges </li><li>Collaborate with cross-functional teams, including business analysts, engineers, and stakeholders, to identify analytics solutions and align deliverables with strategic goals </li><li>Communicate complex findings and recommendations clearly to technical and non-technical audiences through reports, dashboards, and visualizations</li><li>Automate repetitive tasks, streamline data flows, and ensure data quality and governance throughout the analytics lifecycle</li><li>Stay updated on industry trends, emerging technologies, and best practices in data science and AI to continuously enhance solutions</li></ul>
2026-02-17T00:00:00Z

Data Engineer - Lead

Houston, TX
onsite
Permanent
175000 - 225000 USD / Yearly
We are looking for an experienced Lead Data Engineer to oversee the design, implementation, and management of advanced data infrastructure in Houston, Texas. This role requires expertise in architecting scalable solutions, optimizing data pipelines, and ensuring data quality to support analytics, machine learning, and real-time processing. The ideal candidate will have a deep understanding of Lakehouse architecture and Medallion design principles to deliver robust and governed data solutions. Responsibilities: • Develop and implement scalable data pipelines to ingest, process, and store large datasets using tools such as Apache Spark, Hadoop, and Kafka. • Utilize cloud platforms like AWS or Azure to manage data storage and processing, leveraging services such as S3, Lambda, and Azure Data Lake. • Design and operationalize data architecture following Medallion patterns to ensure data usability and quality across Bronze, Silver, and Gold layers. • Build and optimize data models and storage solutions, including Databricks Lakehouses, to support analytical and operational needs. • Automate data workflows using tools like Apache Airflow and Fivetran to streamline integration and improve efficiency. • Lead initiatives to establish best practices in data management, facilitating knowledge sharing and collaboration across technical and business teams. • Collaborate with data scientists to provide infrastructure and tools for complex analytical models, using programming languages like Python or R. • Implement and enforce data governance policies, including encryption, masking, and access controls, within cloud environments. • Monitor and troubleshoot data pipelines for performance issues, applying tuning techniques to enhance throughput and reliability. • Stay updated with emerging technologies in data engineering and advocate for improvements to the organization's data systems.
2026-02-17T00:00:00Z

Data Engineer - Python

Houston, TX
onsite
Permanent
110000 - 160000 USD / Yearly
We are seeking a talented and motivated Python Data Engineer to join our global team. In this role, you will be instrumental in expanding and optimizing our data assets to enhance analytical capabilities across the organization. You will collaborate closely with traders, analysts, researchers, and data scientists to gather requirements and deliver scalable data solutions that support critical business functions. Responsibilities<ul><li>Develop modular and reusable Python components to connect external data sources with internal systems and databases.</li><li>Work directly with business stakeholders to translate analytical requirements into technical implementations.</li><li>Ensure the integrity and maintainability of the central Python codebase by adhering to existing design standards and best practices.</li><li>Maintain and improve the in-house Python ETL toolkit, contributing to the standardization and consolidation of data engineering workflows.</li><li>Partner with global team members to ensure efficient coordination and delivery.</li><li>Actively participate in internal Python development community and support ongoing business development initiatives with technical expertise.</li></ul>
2026-02-15T00:00:00Z

Data Analyst / Engineer

Woburn, MA
remote
Temporary
55.4135 - 64.163 USD / Hourly
We are looking for a skilled Data Analyst / Engineer to join our team on a contract basis remotely. This role focuses on financial data processing, automation, and reporting within a dynamic environment. The ideal candidate will excel at managing data workflows, automating manual processes, and delivering accurate insights to support business decisions. Responsibilities:• Extract and reconcile financial data from multiple databases, ensuring accuracy and consistency across accounts receivable, accounts payable, and general ledger lanes.• Automate manual reporting processes by developing repeatable daily and month-end pipelines for reliable and auditable data.• Design and oversee data workflows across development, production, and utility databases, ensuring secure and efficient access.• Create and deliver advanced Excel-based reports using macros, formulas, and Power Query to enhance usability for finance teams.• Implement data validation and snapshot techniques to support reconciliation and decision-making processes.• Ensure the traceability and accuracy of financial data by establishing robust controls and audit mechanisms.• Collaborate with stakeholders to understand reporting requirements and translate them into scalable solutions.• Utilize expertise in SQL and Teradata Data Warehouse to optimize database objects and queries for performance.• Develop and maintain documentation for automated processes and data workflows to ensure clarity and continuity.
2026-03-13T00:00:00Z

Data Engineering Manager

Columbus, OH
remote
Permanent
110000 - 120000 USD / Yearly
We are looking for an experienced Data Engineering Manager to lead the strategic development and management of our enterprise data warehouse in Columbus, Ohio. This position combines technical expertise with leadership responsibilities to ensure data assets are efficiently structured, integrated, and utilized for operational processes, analytics, compliance, and external partnerships. The ideal candidate will drive innovation while maintaining robust data architecture standards to support the organization's long-term goals. Responsibilities: • Oversee the design, implementation, and optimization of the enterprise data warehouse and associated reporting systems. • Ensure seamless data integration between source systems, analytics platforms, and reporting tools to maintain accuracy and reliability. • Collaborate with various teams to align data structures and solutions with organizational objectives. • Provide strategic direction for data architecture and recommend scalable solutions aligned with industry best practices. • Develop and enforce standards for enterprise reporting, key performance indicators, and consistent data definitions. • Promote uniformity in business rules and metric calculations across departments to ensure credible and authoritative data outputs. • Review and validate data workflows, transformations, and reports to ensure completeness and accuracy. • Identify and implement system improvements to enhance the functionality and efficiency of data platforms. • Address and resolve issues related to data integrity or reporting disruptions, ensuring minimal downtime. • Mentor team members and provide technical guidance to build a highly skilled and capable team.
2026-03-03T00:00:00Z

Data Engineering Manager

San Antonio, TX
remote
Permanent
95000 - 115000 USD / Yearly
Additional Skills: Deep hands-on expertise with dbt (Cloud or Core), including model development, testing, macros, packages, documentation, scheduling, and performance optimization. Strong command of dbt project structure, materializations (including incremental models and snapshots), and integration with BI-owned metric certification and semantic layers. Ability to evaluate when to leverage community dbt packages versus building custom solutions. Expert-level SQL for complex analytical transformations and performance optimization. Strong data modeling skills across dimensional (Kimball), Data Vault, and domain-oriented patterns, including temporal modeling, SCDs, and surrogate keys. Proven judgment in balancing normalization vs. denormalization for performance, flexibility, and downstream analytics use cases. Experience designing and implementing automated data quality testing and validation frameworks. Familiarity with data quality tooling (e.g., Great Expectations) and core data quality dimensions across analytics workflows. Familiarity with modern analytics stacks and how analytics engineering integrates with cloud data platforms, ingestion tools, dbt, and BI systems. Working knowledge of DataOps practices such as version control, CI/CD, and automated testing. Knowledge of K–12 education data domains and metrics, including enrollment, attendance, assessments, staffing, and multi-state reporting requirements. Familiarity with education data privacy (FERPA), academic calendars, and operational rhythms. Proven ability to lead technical teams, facilitate requirements and design discussions, and manage competing stakeholder priorities. Strong communication and change management skills, translating technical capabilities into clear business value. Required experience: Bachelor’s degree in Computer Science, Information Systems, Data Science, Statistics, Mathematics, or a related field, or equivalent practical experience. 7+ years of experience in analytics engineering, data engineering, data analytics, or closely related technical roles. 3+ years of experience in technical leadership or people management, leading analytics, data, or BI teams. Demonstrated hands-on experience with dbt (2+ years) building and maintaining production data models and transformations. Strong data modeling expertise, with a proven track record designing dimensional models, analytics data marts, or business-facing data products. Expert-level SQL skills, including complex analytical queries and performance optimization Experience partnering with non-technical stakeholders to gather requirements and translate them into effective technical solutions. Preferred Education and Experience: Master’s degree in Data Science, Statistics, Computer Science, or a related analytical field. dbt Analytics Engineering certification or equivalent demonstrated expertise Hands-on experience with Snowflake or comparable cloud data warehouse platforms. Experience working with K–12 education data, student information systems, or education analytics. Experience building data solutions for multi-state or geographically distributed organizations. Exposure to data governance practices, including business glossaries and data quality frameworks Familiarity with modern data stack tools (e.g., ingestion, orchestration, BI, and data quality platforms). Experience leading analytics teams using Agile or iterative delivery methodologies.
2026-03-16T00:00:00Z

Data Architect

Jacksonville, FL
onsite
Temporary
0 - 0 USD / Yearly
Architect and lead the modern data platform using Microsoft Fabric. You’ll define data models, pipelines, governance, and performance patterns that power analytics at scale.What You’ll Do<ul><li>Design end‑to‑end architectures leveraging Fabric (OneLake, Lakehouses, Warehouses)</li><li>Define medallion/layered models, dimensional designs, and semantic layers</li><li>Lead ingestion and transformation with Dataflows Gen2 / Data Factory / Notebooks</li><li>Establish governance (data quality, lineage, security, RLS/OLS)</li><li>Optimize performance and cost; standardize reuseable patterns</li><li>Mentor data engineers/analysts; review solutions and set best practices</li><li>Partner with business to translate use cases into scalable models</li></ul>
2026-02-27T00:00:00Z

Data Architect

Minneapolis, MN
remote
Permanent
130000 - 165000 USD / Yearly
We are looking for an experienced Data Architect to design and implement cutting-edge data solutions that meet the evolving needs of our enterprise. This role involves building secure, scalable, and high-performing data platforms while leveraging modern technologies and aligning with organizational goals. The ideal candidate will have expertise in cloud-based architecture, data governance, and advanced analytics, driving innovation across diverse business functions. Responsibilities: • Develop comprehensive data architecture strategies for advanced analytics and big data solutions using Azure Databricks. • Design and implement Databricks Delta Lake-based Lakehouse architecture, utilizing PySpark Jobs, Databricks Workflows, Unity Catalog, and Medallion architecture. • Optimize and configure Databricks clusters, notebooks, and workflows to ensure efficiency and scalability. • Integrate Databricks with Azure services such as Azure Data Lake Storage, Azure Data Factory, Azure Key Vault, and Microsoft Fabric. • Establish and enforce best practices for data governance, security, and cost management. • Collaborate with data engineers, analysts, and business stakeholders to translate functional requirements into robust technical solutions. • Provide technical mentoring and leadership to team members focused on Databricks and Azure technologies. • Monitor, troubleshoot, and enhance data pipelines and workflows to maintain reliability and performance. • Ensure compliance with organizational and regulatory standards regarding data security and privacy. • Document configurations, processes, and governance standards to support long-term scalability and usability.
2026-03-04T00:00:00Z

Data Architect

Green Bay, WI
onsite
Permanent
140000 - 160000 USD / Yearly
Robert Half is seeking an experienced Data Architect to design and lead scalable, secure, and high-performing enterprise data solutions. This role will focus on building next-generation cloud data platforms, driving adoption of modern analytics technologies, and ensuring alignment with governance and security standards. You’ll serve as a hands-on technical leader, partnering closely with engineering, analytics, and business teams to architect data platforms that enable advanced analytics and AI/ML initiatives. This position blends deep technical expertise with strategic thinking to help unlock the value of data across the organization. Key Responsibilities:<ul><li>Design and implement end-to-end data architecture for big data and advanced analytics platforms.</li><li>Architect and build Delta Lake–based lakehouse environments from the ground up, including DLT pipelines, PySpark jobs, workflows, Unity Catalog, and Medallion architecture.</li><li>Develop scalable data models that meet performance, security, and governance requirements.</li><li>Configure and optimize clusters, notebooks, and workflows to support ETL/ELT pipelines.</li><li>Integrate cloud data platforms with supporting services such as data storage, orchestration, secrets management, and analytics tools.</li><li>Establish and enforce best practices for data governance, security, and cost optimization.</li><li>Collaborate with data engineers, analysts, and stakeholders to translate business requirements into technical solutions.</li><li>Provide technical leadership and mentorship to team members.</li><li>Monitor, troubleshoot, and optimize data pipelines to ensure reliability and efficiency.</li><li>Ensure compliance with organizational and regulatory standards related to data privacy and security.</li><li>Create and maintain documentation for architecture, processes, and governance standards.</li></ul>
2026-02-17T00:00:00Z

Data Analyst

Salem, VA
onsite
Temporary
25 - 30 USD / Hourly
Position OverviewWe are seeking a highly detail‑oriented Environmental Data Specialist to support data accuracy, regulatory documentation, and compliance activities related to environmental and waste management operations. This role is essential for maintaining precise records, updating internal databases, ensuring regulatory alignment, and validating waste tracking information. Attention to detail is critical, and all submissions must include a basic typing/data entry test result for consideration.Key Responsibilities<ul><li>Update internal databases and shared sites with new, recertified, or amended waste profile data</li><li>Upload and maintain current approvals, notifications, and treatment standards documentation</li><li>Conduct technical regulatory reviews of new, amended, and recertified waste profile data, including:</li><li>DOT compliance</li><li>RCRA Land Ban requirements</li><li>Internal consistency checks</li><li>Efficiently track and run reports, including those requiring advanced Excel knowledge</li><li>Validate shipment and waste tracking data to ensure accuracy and compliance</li><li>Support documentation, data entry, and administrative tasks related to environmental and regulatory workflows</li></ul>
2026-02-19T00:00:00Z

Data Analyst

Miami, FL
onsite
Temporary
26 - 34 USD / Hourly
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.Key Responsibilities:<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>
2026-03-09T00:00:00Z

Data Analyst

Kansas City, MO
onsite
Permanent
65000 - 70000 USD / Yearly
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. Responsibilities: • Manage grant-related data, including tracking expenditures and reimbursements to ensure accuracy and compliance. • Collaborate with community partners to maintain clear and effective communication regarding grant processes and requirements. • Prepare and submit reimbursement documentation in alignment with organizational policies. • Respond to inquiries from management and stakeholders in a timely and thorough manner. • Utilize data manipulation tools and queries to analyze and interpret grant-related information. • Create and maintain reports using Microsoft Access and Excel to support decision-making processes. • Assist in organizing community events and initiatives tied to grant programs. • Ensure data integrity and accuracy in all reporting and analysis efforts. • Support the team with additional administrative tasks related to data management and grant tracking.
2026-03-11T00:00:00Z

Data Analyst

Los Angeles, CA
onsite
Temporary
38 - 44 USD / Hourly
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. Responsibilities: • Analyze large datasets to identify patterns, trends, and anomalies related to suspected fraud. • Develop and implement fraud analytics models to detect and prevent fraudulent activities. • Collaborate with cross-functional teams to investigate potential fraud cases and provide detailed reports. • Monitor and assess the effectiveness of anti-fraud strategies and recommend improvements. • Utilize advanced data analysis techniques to enhance fraud detection processes. • Prepare visualizations and presentations to communicate findings to stakeholders. • Conduct thorough investigations into flagged transactions or activities and document findings. • Support the development of automated tools and processes for fraud prevention. • Stay updated on industry best practices and emerging technologies related to fraud analytics. • Ensure compliance with regulatory requirements and company policies in all investigations.
2026-03-17T00:00:00Z

Data Analyst

Santa Monica, CA
remote
Temporary
27 - 35 USD / Hourly
We are looking for an experienced Data Analyst to join our team on a long-term contract basis for a global finance firm. This role is fully remote. This role requires someone with strong attention to detail who excels in data reconciliation, fraud investigation, and analytics. You will play a key role in analyzing data for accuracy and identifying potential discrepancies or fraudulent activities. Responsibilities:• Conduct regular account reconciliations to ensure data consistency and accuracy.• Investigate suspected fraudulent activities using advanced analytics tools.• Perform in-depth data analysis to identify trends and anomalies.• Utilize VLOOKUP and other Excel functions to organize and interpret complex datasets.• Collaborate with cross-functional teams to address data discrepancies and improve processes.• Develop and implement anti-fraud strategies based on identified risks.• Maintain detailed documentation of findings and reconciliation processes.• Provide actionable insights to support decision-making and enhance operational efficiency.• Ensure compliance with relevant regulations and standards during data analysis and investigations.
2026-03-17T00:00:00Z

Data Analyst

Delray Beach, FL
onsite
Temporary
0 - 0 USD / Yearly
As a Business Data Analyst or Specialist you will be responsible for managing data retrieval and analysis within SCMHCThe position includes organizing data points, communicating between upper management and the IT department, and analyzing data to determine business needsBecome subject matter expert for the organization’s EMR/EHR (Credible Behavioral Health) and champions it’s adoptionDevelops data solutions from multiple data sources / applicationsDevelops and manages data reporting for internal and external consumersDaily, monthly, & quarterly uploads/ Submits data as requiredEnsure data is secure via proper access controlsProvides EMR/HER assistance and support to end-usersOrganizes, implements and manages new hire as well as ongoing training for EMR/HER
2026-02-20T00:00:00Z

Data Analyst

Delray Beach, FL
onsite
Contract / Temporary to Hire
0 - 0 USD / Yearly
We are looking for a dedicated Data Analyst to join our team in Delray Beach, Florida. In this Contract to permanent position, you will play a vital role in ensuring the accuracy and consistency of data while driving operational efficiency and supporting organizational goals. This role requires a detail-oriented individual with strong analytical skills who can collaborate across departments and thrive in a dynamic environment. Responsibilities: • Gather, clean, and validate data from various sources to ensure consistency and reliability. • Update and maintain databases, spreadsheets, and dashboards with a meticulous attention to detail. • Support efforts related to data migration, integration, and quality assurance across systems. • Generate timely and accurate reports in response to internal data requests. • Identify and resolve data discrepancies by collaborating with relevant teams. • Document data processes, workflows, and standards to ensure clarity and consistency. • Partner with leadership to analyze data for insights that drive growth, efficiency, and impact. • Conduct forecasting, trend analysis, and reporting to support decision-making. • Develop donor segmentation strategies and analyze patterns to optimize fundraising efforts. • Present data findings in clear and accessible formats suitable for diverse audiences.
2026-02-27T00:00:00Z

Data Analyst

Fort Lauderdale, FL
onsite
Temporary
25 - 32 USD / Hourly
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. Responsibilities:• Extract, clean, and analyze large datasets to ensure reliable and accurate data insights.• Design and optimize SQL queries, scripts, and procedures for efficient data retrieval and reporting.• Create and maintain dashboards and reports that provide clear visualizations of key performance metrics.• Collaborate with stakeholders to identify analysis needs and translate them into actionable solutions.• Evaluate and enhance data quality, ensuring consistency and accuracy across all datasets.• Present data findings and recommendations in a clear, concise manner to support business strategies.• Partner with cross-functional teams to understand key business objectives and align data analysis efforts.• Develop methods to improve reporting processes and streamline data workflows.
2026-03-09T00:00:00Z

Data Analyst

Irvine, CA
onsite
Permanent
140000 - 170000 USD / Yearly
We are looking for a skilled Revenue Operations Analyst to oversee the development and optimization of reporting and analytics across Sales, Marketing, and Customer Care teams. This role requires a strategic thinker who can transform data into actionable insights, standardize performance metrics, and enhance operational efficiency. Based in Irvine, California, this position offers the opportunity to lead data-driven initiatives that support organizational growth. Responsibilities:• Create and maintain dashboards and automated reports for Sales, Marketing, and Customer Care teams using Salesforce, Excel, and visualization tools.• Define and implement standardized key performance indicators (KPIs) to measure and optimize the revenue cycle from lead generation to customer satisfaction.• Conduct detailed analyses of sales funnel performance, conversion rates, and customer care trends to identify actionable insights.• Act as a Salesforce expert, ensuring data accuracy, optimizing workflows, and developing advanced reports.• Manage and mentor a team of two analysts, fostering their attention to detail and maintaining high-quality standards.• Write and maintain queries to extract, transform, and analyze data from Salesforce and associated databases.• Document data definitions, reporting logic, and business rules to ensure consistency and institutional knowledge.• Identify inefficiencies in revenue processes and propose data-driven solutions for improvement.• Provide historical data insights and predictive analysis to support campaign planning.• Ensure compliance with industry regulations and internal standards in all data management and reporting activit
2026-03-03T00:00:00Z

Data Analyst

Irvine, CA
onsite
Temporary
28 - 32 USD / Hourly
We are seeking a QA Analyst for a dynamic, fast-paced weekly release environment to support and ensure high-quality delivery. Key Responsibilities:<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>
2026-03-10T00:00:00Z

Data Analyst

Allentown, PA
onsite
Contract / Temporary to Hire
0 - 0 USD / Yearly
We are looking for a skilled and detail-oriented Data Analyst to join our team in Allentown, Pennsylvania. This is a Contract-to-permanent position that offers the opportunity to grow within a dynamic and fast-paced environment. The ideal candidate will excel in analyzing data, performing reconciliations, and supporting financial decision-making with actionable insights. Responsibilities: • Manage and oversee intercompany transactions, ensuring accurate billing and compliance. • Perform detailed reconciliations, including cash, third-party accounts, and insurance data. • Contribute to audits, budgeting processes, forecasting activities, and special projects as needed. • Analyze performance metrics such as sales, labor, food costs, and customer behavior to identify trends. • Develop user-friendly dashboards and reports for operational and executive teams. • Ensure data accuracy and connectivity across inventory, accounting, and organizational systems. • Translate data insights into practical recommendations to enhance service and operational efficiency. • Uphold internal controls and compliance standards while handling sensitive financial information. • Support a collaborative environment by providing clear communication and actionable data insights.
2026-03-17T00:00:00Z

Data Analyst

Atlanta, GA
onsite
Permanent
75000 - 95000 USD / Yearly
We are seeking a detail-oriented and analytical Data Analyst to join our team in the Metro Atlanta area. This role is ideal for a detail oriented who enjoys transforming complex data into actionable insights that drive business decisions. You will work cross-functionally with stakeholders across operations, finance, marketing, and technology to support strategic initiatives through data-driven analysis. Key Responsibilities Collect, clean, and analyze large datasets to identify trends and insights Develop dashboards and reports using BI tools (Power BI, Tableau, or similar) Write and optimize SQL queries to extract and manipulate data Perform ad hoc analysis to support business initiatives and leadership requests Translate business requirements into technical data solutions Monitor KPIs and provide actionable recommendations Support data validation, integrity checks, and quality assurance processes Collaborate with engineering and IT teams to improve data pipelines
2026-02-20T00:00:00Z

Data Analyst

Philadelphia, PA
onsite
Temporary
35 - 40 USD / Hourly
Job SummaryWe are seeking a motivated and analytical Data Analyst to support product quality, device performance, and customer experience improvements across a large consumer device ecosystem. In this role, you will help drive data‑informed decisions by analyzing telemetry, reliability KPIs, and customer satisfaction trends. You’ll collaborate closely with engineering, operations, and customer experience teams to ensure data accuracy, generate actionable insights, and support strategic initiatives that help enhance overall device reliability.This role is ideal for someone who thrives in cross‑functional environments, enjoys solving complex problems, and can translate data into compelling, executive‑ready insights. Key Responsibilities<ul><li>Analyze device performance data, reliability KPIs, telemetry metrics, and CSAT feedback to identify improvement opportunities.</li><li>Support key initiatives related to error tracking, ticket resolution trends, and release impact assessments.</li><li>Partner with stakeholders across engineering, operations, and customer experience to align priorities and ensure timely delivery of insights.</li><li>Create compelling presentations and executive‑level decks to communicate data findings and recommendations.</li><li>Participate in working groups tackling high‑impact reliability issues, contributing to root cause analysis and solution tracking.</li><li>Assist in expanding global data capabilities through improved data access, partnerships, and data enablement initiatives.</li></ul>
2026-02-16T00:00:00Z

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