<p>Candidates seeking a remote opportunity with a well-established and highly regarded financial services organization are encouraged to apply for this entry-level Financial Data Analyst role. This position is ideal for a detail-oriented, analytical professional who is eager to support data-driven decision-making in a fast-paced environment.</p><p>In this role, the Financial Data Analyst will provide day-to-day support to finance and global data teams, assisting with routine analysis, data preparation, and reporting initiatives. The work involves handling large volumes of financial information, identifying trends, and contributing to special projects that support broader business objectives. Assignments are typically standardized in nature and performed with limited discretion, making this an excellent opportunity for candidates looking to build a strong foundation in financial analysis.</p><p><br></p><p>The ideal candidate is adaptable, organized, and comfortable managing multiple priorities while collaborating with both financial and non-financial stakeholders. This is a long-term contract/temporary opportunity offering stability, professional growth, and exposure to a respected financial services environment.</p><ul><li>Analyze and review financial datasets, including credit ratings and curve-related data</li><li>Assist in the preparation, validation, and organization of business and financial data</li><li>Support ongoing reporting and analytical processes for internal stakeholders</li><li>Contribute to special projects as needed, including explaining complex financial concepts to non-financial team members</li><li>Ensure data accuracy, consistency, and adherence to established procedures</li></ul>
<p>About the Role</p><p>Our client is seeking an AI Data Engineer to design, build, and optimize data and AI pipelines within a modern Azure Databricks Lakehouse environment. This role sits at the intersection of data engineering, machine learning enablement, and cloud‑scale analytics, supporting advanced AI initiatives across the organization.</p><p>You will work closely with data scientists, ML engineers, and business stakeholders to deliver high‑quality data products, feature pipelines, and production‑ready AI workflows that power predictive analytics, generative AI, and operational intelligence</p><p><br></p><p>Key Responsibilities</p><ul><li>Design and build scalable data pipelines using Azure Databricks, Spark, and Delta Lake</li><li>Develop and optimize ETL/ELT workflows across Azure Data Lake Storage</li><li>Implement AI‑ready data architectures including feature stores and vector stores</li><li>Productionize ML and generative AI models using MLflow and Databricks Model Serving</li><li>Create and maintain medallion architecture for analytics and AI workloads</li><li>Develop SQL and PySpark transformations for large‑scale datasets</li><li>Integrate Azure services such as Data Factory, Event Hub, and Functions</li><li>Ensure data governance and security using Unity Catalog and RBAC</li><li>Monitor and optimize Databricks clusters for cost and performance</li><li>Support CI/CD automation using Azure DevOps</li></ul><p><br></p>
<p><strong>Are you a data-driven marketer with a passion for leveraging AI to create smarter, more impactful campaigns?</strong></p><p>Robert Half is seeking experienced <strong>AI Marketing Specialists</strong> to fill contract roles with companies eager to transform their marketing strategies through artificial intelligence. If you excel at blending creativity with analytics—and have 3+ years of experience in digital marketing and AI-driven tools—this is your chance to work on cutting-edge projects and shape the future of marketing.</p><p> </p><p><strong>Key Responsibilities:</strong></p><ul><li>Develop and execute AI-powered marketing strategies across multiple channels, including social media, email, and paid advertising.</li><li>Utilize AI tools to automate workflows, personalize campaigns, and optimize performance.</li><li>Analyze data and generate actionable insights to improve ROI and customer engagement.</li><li>Collaborate with creative and technical teams to integrate AI solutions into marketing initiatives.</li><li>Stay ahead of emerging AI technologies and trends to keep campaigns innovative and competitive.</li><li>Ensure ethical and compliant use of AI in all marketing activities.</li></ul><p><br></p>
We are looking for a skilled Data Engineer to join our team in Chicago, Illinois. This long-term contract role offers an exciting opportunity to contribute to the development and optimization of data systems while working with advanced technologies. The ideal candidate will bring expertise in building efficient data pipelines, managing large datasets, and integrating data processes to support business objectives.<br><br>Responsibilities:<br>• Develop, implement, and maintain scalable data pipelines using tools such as Apache Spark and Hadoop.<br>• Optimize ETL processes to ensure efficient extraction, transformation, and loading of data.<br>• Collaborate with cross-functional teams to understand data needs and design solutions that align with business goals.<br>• Manage large-scale datasets, ensuring data integrity and accuracy.<br>• Integrate data from various sources using Apache Kafka and other relevant technologies.<br>• Monitor and troubleshoot data systems to identify and resolve performance issues.<br>• Create documentation and provide training on data processes to support team operations.<br>• Conduct regular reviews of data architecture to enhance system functionality.<br>• Ensure compliance with data governance and security standards.<br>• Work closely with stakeholders to deliver actionable insights and reporting based on data analytics.
<p>FP& A Analyst</p><p>We are seeking an FP& A Analyst to support financial planning, forecasting, and performance analysis across a diversified investment portfolio. This role partners closely with senior leadership and accounting to deliver insights that inform strategy, valuation, and capital allocation.</p><p>This is a high-impact opportunity for an analytical, detail-oriented professional who enjoys working in a lean, fast-paced environment and taking ownership of core financial processes.</p><p><strong>Location:</strong> Fort Lauderdale, FL (Broward County)</p><p>Key Responsibilities</p><ul><li>Build and maintain financial models for budgeting, forecasting, and return analysis</li><li>Prepare rolling forecasts and scenario analyses to support strategic decisions</li><li>Analyze performance versus budget and forecast; identify key drivers and trends</li><li>Develop dashboards and reporting packages for senior leadership</li><li>Support valuation analysis, board materials, and lender/investor reporting</li><li>Partner cross-functionally to ensure data accuracy and aligned financial insights</li><li>Assist with special projects, process improvements, and FP& A system enhancements</li><li>Strong analytics and data skills would be a huge plus</li></ul><p>Qualifications</p><ul><li>3–8+ years of experience in FP& A, corporate finance, investment, or consulting</li><li>Strong financial modeling, forecasting, and analytical skills</li><li>Ability to translate complex data into clear, actionable insights</li><li>Highly organized, detail-oriented, and comfortable managing multiple priorities</li><li>Strong written and verbal communication skills</li><li>Self-starter who thrives in a lean, entrepreneurial environment</li><li>Experience with BI tools, SQL, Tableau or Python is a plus</li></ul><p><br></p>
<p>Model Development & Maintenance</p><p> • Develop and maintain actuarial models and data-driven processes using Python, R, and SQL to support insurance pricing, reserving, and risk management.</p><p> • Implement and enhance month-end processes, rate change calculations, and ad-hoc analyses with a focus on completeness, accuracy, and consistency to ensure data is of the highest quality.</p><p> • Work with the Actuarial and Financial Planning and Analysis (FP& A) teams to automate and improve model performance using Python-based scripting and automation.</p><p> • Ensure accuracy, consistency, and efficiency of actuarial models and methodologies.</p><p> Traditional Actuarial Tasks</p><p> • Support reserving analysis to estimate unpaid claim liabilities primarily in partnership with internal and external actuaries.</p><p> • Develop and maintain loss development triangles and incurred but not reported (IBNR) calculations both based on financial and operational data (e.g., claims closing ratios).</p><p> • Support the development and validation of actuarial assumptions for pricing, reserving, and forecasting.</p><p> • Develop and regularly report on rate change calculations including bifurcation of exposure changes from pure rate by line of business.</p><p> Financial Modeling & Risk Assessment</p><p> • Conduct stress testing and scenario analysis to assess financial impacts.</p><p> • Develop, update, and maintain models for predictive analytics, profitability analysis, and business planning.</p><p> • Assist in forecasting financial performance and evaluating risk exposure.</p><p> </p><p> </p>
<p>We are looking for an experienced Compensation Analyst to join our team in Sacramento, California. In this long-term contract role, you will play a key part in analyzing, modeling, and interpreting financial data to support strategic decision-making within the healthcare industry. This position offers the opportunity to apply your expertise in financial analysis and compensation strategies to drive impactful results.</p><p><br></p><p>Responsibilities:</p><p>• Perform in-depth financial analyses, including variance analysis and ad hoc reporting, to provide actionable insights.</p><p>• Develop and maintain financial models to forecast trends and support strategic planning.</p><p>• Conduct compensation analysis to ensure competitive positioning and alignment with organizational goals.</p><p>• Utilize data mining techniques to extract, analyze, and interpret large datasets for meaningful conclusions.</p><p>• Collaborate with cross-functional teams to streamline financial processes and improve reporting accuracy.</p><p>• Identify and address discrepancies in financial data, ensuring consistency and reliability.</p><p>• Prepare detailed reports and presentations for stakeholders, highlighting key findings and recommendations.</p><p>• Monitor industry trends and benchmarks to inform compensation strategies.</p><p>• Support budgeting and forecasting activities with comprehensive financial evaluations.</p><p>• Assist in creating policies and procedures to enhance financial operations.</p>
<p>Our company is seeking a skilled Contract Data Engineer to support our technology team in Atlanta, GA. In this project-based role, you will design, build, and optimize data pipelines and architectures – essential for data collection, transformation, and analytics. Ideal candidates bring a hands-on background with either Azure or AWS platforms.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, construct, and maintain scalable cloud-based data pipelines using Azure or AWS services.</li><li>Collaborate with teams to gather technical requirements and implement data integrations.</li><li>Create and optimize ETL processes ensuring accessible and high-quality data for analysis.</li><li>Troubleshoot pipeline issues and perform data quality checks.</li><li>Manage large data sets in accordance with security and compliance standards.</li></ul>
Our company is seeking a detail-oriented Accounts Receivable (AR) Analyst for a contract-to-permanent opportunity. The ideal candidate will demonstrate strong analytical skills, advanced proficiency in Microsoft Excel (including experience with large data sets), and a background in accounts receivable (AR) or accounts payable (AP). This role supports the accounting team in reconciling accounts, analyzing AR transactions, and ensuring accuracy and timeliness across receivables processes. <br> Job Duties Analyze and reconcile accounts receivable transactions, ensuring data accuracy and timely follow-up on outstanding items. Prepare, review, and distribute AR aging reports; investigate and resolve discrepancies. Process high-volume data using advanced Excel functions (pivot tables, VLOOKUP, formulas) to generate financial reports and perform data analysis. Support cash application, billing, and collection efforts as needed. Collaborate with internal teams and customers to resolve issues and enhance the AR workflow. Assist with month-end close activities including account reconciliations and reporting. Participate in process improvements and system enhancements across AR functions.
<p>We are looking for a skilled Data Reporting Analyst to join our team on a contract to perm in Austin, Texas. In this role, you will play a critical part in managing databases, generating compliance reports, and ensuring the accuracy of data analysis. Your expertise will support the creation of dashboards and reporting tools that drive efficient decision-making.</p><p><br></p><p>Responsibilities:</p><p>• Manage and oversee Access databases to ensure proper functionality and data integrity.</p><p>• Develop detailed compliance reports using Power BI, Excel, and specialized tools.</p><p>• Collaborate with the technology team to configure and optimize automation systems.</p><p>• Lead data collection efforts for field reporting and act as a project manager for related initiatives.</p><p>• Conduct training sessions to familiarize stakeholders with system functionalities and reporting tools.</p><p>• Create dashboards to monitor compliance standards and identify areas needing corrective actions.</p><p>• Perform regular audits on databases to maintain data accuracy and reliability.</p>
<p>The Technology Data Analyst will turn raw system, application, and infrastructure data into clear, actionable insights that drive reliability, performance, and scalability. You will partner closely with engineering, DevOps, SRE, and product teams to monitor, troubleshoot, and optimize our technical platforms.</p><p> </p><p>Key Responsibilities:</p><ul><li>Collect, clean, and analyze large datasets from logs, metrics, traces, and business systems (ELK, Prometheus, Grafana, Datadog, Snowflake, BigQuery, etc.)</li><li>Build and maintain interactive dashboards, automated reports, and real-time visualizations (Looker, Tableau, Metabase, Superset, Power BI, or custom Streamlit/Dash apps)</li><li>Identify trends, anomalies, and performance bottlenecks in infrastructure, applications, and user-facing systems</li><li>Perform root-cause analysis for incidents, outages, and latency spikes using data-driven methods</li><li>Support capacity planning, cost optimization, and scaling decisions with accurate forecasting and usage modeling</li><li>Collaborate with developers, SREs, and product managers to define KPIs, instrumentation needs, and data requirements</li><li>Ensure data quality, consistency, and integrity across monitoring, logging, and analytics platforms</li><li>Contribute to lightweight predictive modeling, alerting rules, and automation initiatives (anomaly detection, forecasting, auto-scaling triggers)</li><li>Document methodologies, findings, and recommendations in clear, executive-ready formats</li></ul><p> </p><p>Required Qualifications:</p><ul><li>Bachelor’s degree in Data Analytics, Computer Science, Statistics, or equivalent experience</li><li>3–6+ years of hands-on data analysis experience in a technology/infrastructure environment</li><li>Advanced SQL (window functions, CTEs, performance tuning) and proficiency in Python (pandas, numpy) or R for data manipulation</li><li>Proven experience building dashboards and reports with at least one major BI tool (Looker, Tableau, Power BI, Metabase)</li><li>Strong grasp of systems metrics: CPU/memory/disk/network, request latency, error rates, saturation (USE/RED method, Golden Signals)</li><li>Familiarity with modern observability stacks (Prometheus + Grafana, Datadog, New Relic, OpenTelemetry, Jaeger)</li><li>Experience with log analysis (ELK/EFK, Loki, Splunk) and time-series databases (InfluxDB, TimescaleDB)</li><li>Excellent communication skills – ability to translate complex technical data into clear insights for both engineers and leadership</li></ul><p><br></p>
<p>Remote job as long as you live in NY State!</p><p><br></p><p>Chris Preble is working with a Syracuse area client of his that is looking for a dedicated Financial Manager to help lead the company’s financial planning and performance analysis with a strong emphasis on data integrity, advanced Excel modeling, and hands-on analytical work. The Manager of FP& A will operate deep in the numbers—owning complex spreadsheets, building and maintaining financial models, and translating large data sets into clear insights that support senior leadership decision-making.</p><p>This role is best suited for a finance professional who is highly technical, Excel-heavy, and comfortable working directly with detailed data rather than relying solely on automated systems.</p><p><br></p><p>Key Responsibilities</p><ul><li>Lead budgeting, forecasting, and long-range planning processes using detailed Excel-based models that serve as the foundation for financial decision-making</li><li>Build, maintain, and enhance complex Excel models that integrate data from multiple sources to evaluate performance, trends, and key drivers</li><li>Perform deep variance analysis and KPI tracking, using structured datasets to identify risks, opportunities, and performance gaps</li><li>Partner with cross-functional teams to assess the financial impact of operational changes, cost initiatives, and strategic investments, supported by data-driven analysis</li><li>Prepare executive-ready financial summaries, dashboards, and presentations derived from underlying Excel and data models</li><li>Support capital planning, scenario analysis, and sensitivity modeling using detailed financial assumptions</li><li>Continuously improve the structure, efficiency, and scalability of Excel models, reporting frameworks, and data workflows</li><li>Ensure accuracy, consistency, and traceability of financial data across all planning, forecasting, and reporting activities</li></ul>
We are looking for a Research Data Analyst to join our team in Charlottesville, Virginia. In this role, you will leverage your analytical skills to support marketing initiatives by managing data, conducting in-depth analyses, and delivering insightful recommendations. This position will also involve contributing to research efforts focused on sustainability standards and regulatory requirements.<br><br>Responsibilities:<br>• Manage and maintain databases to ensure data accuracy and accessibility.<br>• Perform sensitivity analyses to evaluate potential outcomes and impacts.<br>• Develop financial models to support decision-making processes and strategic planning.<br>• Create detailed reports and presentations that effectively communicate findings to stakeholders.<br>• Conduct research on sustainability reporting standards to support company initiatives.<br>• Analyze technology platforms and tools to identify opportunities for improvement.<br>• Investigate regulatory market requirements to ensure compliance and alignment with industry standards.<br>• Collaborate with cross-functional teams to provide data-driven insights.<br>• Utilize tools such as Microsoft Excel, Power BI, and Tableau to visualize and interpret complex datasets.
<p>Our company is seeking an Accounts Receivable Analyst for a temp-to-hire opportunity. The ideal candidate will have strong experience managing large data sets in MS Excel and possess a solid educational foundation in accounting, finance, business, or a related field. This position offers recent graduates who have completed relevant internships the chance to transition into a full-time role. Please note we are not considering candidates with master’s degrees for this opportunity.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Reconcile AR accounts and manage high-volume billing and collections processes.</li><li>Track outstanding accounts, resolve discrepancies, and conduct account research.</li><li>Analyze large and complex data sets using advanced Excel functions (pivot tables, VLOOKUP, formulas).</li><li>Generate periodic reports to support finance leadership.</li><li>Collaborate with internal teams and external clients on AR-related issues.</li><li>Support process improvements for AR efficiency and accuracy.</li></ul><p><br></p>
We are looking for a highly skilled Database Developer to join our team in Columbia, South Carolina. This position focuses on creating and optimizing Tableau-based solutions to enhance the analytical capabilities of the university's enterprise platform. The role involves close collaboration with data scientists, analysts, and IT professionals to deliver impactful insights that support strategic decision-making.<br><br>Responsibilities:<br>• Create dynamic and visually engaging Tableau dashboards tailored to meet diverse reporting needs.<br>• Develop complex calculations, parameters, and data blends to ensure robust data visualization.<br>• Optimize Tableau workbooks for enhanced performance, scalability, and user experience.<br>• Implement security protocols, including role-based access controls for Tableau content.<br>• Analyze data requirements and integrate information from multiple sources to produce accurate reports.<br>• Ensure data integrity through rigorous validation and testing procedures.<br>• Work closely with stakeholders to gather requirements and translate them into actionable technical solutions.<br>• Present dashboards to users, gather feedback, and refine deliverables as necessary.<br>• Monitor and troubleshoot Tableau Server performance, resolving issues to maintain system reliability.<br>• Stay informed on Tableau advancements and recommend innovative enhancements to the analytics platform.
<p>Quick moving contract to perm opening with hybrid in-office plus remote type schedule. Expectations would be in our client's Tampa office 2 to 3 days per week in mentoring Jr Data Engineer </p><p><br></p><p>If applying, please make sure you have at least 5 years experience in Power BI, ETL Development, Snowflake and Azure. If you have Sigma reporting that will be a huge plus as our client is going that direction with their reporting initiatives. Healthcare background also a strong preference to understand our client technical work flows. </p><p><br></p><p>We are seeking an experienced Senior Data Engineer with 5+ years of hands-on experience to join our dynamic Data Engineering team. In this role, you will design, build, and optimize scalable data pipelines and analytics solutions in a fast-paced healthcare environment. You will play a pivotal role in enabling real-time insights for healthcare stakeholders, ensuring data integrity, compliance with HIPAA and other regulations, and seamless integration across multi-cloud ecosystems.</p><p><br></p><p>Key Responsibilities</p><p><br></p><p>Architect and implement end-to-end ETL/ELT pipelines using Azure Data Factory, Snowflake, and other tools to ingest, transform, and load healthcare data (e.g., EHR, claims, patient demographics) from diverse sources.</p><p>Design and maintain scalable data warehouses in Snowflake, optimizing for performance, cost, and healthcare-specific querying needs.</p><p>Develop interactive dashboards and reports in Power BI to visualize key healthcare metrics, such as patient outcomes, readmission rates, and resource utilization.</p><p>Collaborate with cross-functional teams (data scientists, analysts, clinicians) to translate business requirements into robust data solutions compliant with HIPAA, GDPR, and HITRUST standards.</p><p>Lead data modeling efforts, including dimensional modeling for healthcare datasets, ensuring data quality, governance, and lineage.</p><p>Integrate Azure services (e.g., Synapse Analytics, Databricks, Blob Storage) to build secure, high-availability data platforms.</p><p>Mentor junior engineers, conduct code reviews, and drive best practices in CI/CD pipelines for data engineering workflows.</p><p>Troubleshoot and optimize data pipelines for performance in high-volume healthcare environments (e.g., processing millions of claims daily).</p><p>Stay ahead of industry trends in healthcare data analytics and contribute to strategic initiatives like AI/ML integration for predictive care models.</p><p><br></p><p><br></p><p><br></p>
<p> <strong>Senior FP& A Analyst</strong></p><p>Are you a highly analytical finance professional with a passion for data-driven decision-making? Our team is seeking a Senior FP& A Analyst to take an active role in shaping our financial planning, budgeting, forecasting, and analysis efforts. This is a fantastic opportunity to collaborate cross-functionally and provide impactful financial insights that drive strategic growth.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Develop annual budget, variance analysis and participate in forecasting activities.</li><li>Conduct deep-dive analysis of large data sets and clearly communicate results to both finance and operations teams.</li><li>Manage end-to-end analytics, including requirements gathering, data processing, analysis, deliverables, and presentations.</li><li>Develop and deliver clear visualizations and concise presentations based on financial data.</li><li>Produce KPI reporting using SQL and Power BI; proactively design and automate dashboards for senior leadership.</li><li>Respond to ad hoc requests from across the organization, delivering reports and actionable insights promptly.</li><li>Build and track ROI models for strategic investments.</li><li>Perform variance analysis and partner with stakeholders to identify key performance drivers.</li><li>Support business leaders with financial advice, transparent updates, and clear prioritization.</li><li>Contribute ideas to improve processes, performance, and cost-effectiveness.</li></ul>
<p>As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced <strong>Machine Learning Engineer</strong> 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.</p><p>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.</p><p>🔧 Core Responsibilities</p><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 <strong>NLP</strong>, <strong>LLMs</strong>, and <strong>Generative AI</strong></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><p><br></p>
<p>Robert Half Financial Services is recruiting for an AVP Derivative Operations role for an asset manager located in midtown Manhattan. Our client requires 3+ years of OTC Derivative Operations experience at an Investment Bank or Asset Management firm. OTC and Listed Derivative Regulatory knowledge such as Dodd-Frank, EMIR or ISDA is advantageous. This role is hybrid remote requiring 3 days per week in the midtown Manhattan office.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Responsible for operational support on OTC and Listed derivative for various trading desks including Rates, Credit, Treasury, Securities, etc.</li><li>Co-ordinating internally and externally to ensure Electronic and Paper trade confirmations are executed in a timely manner</li><li>Oversee the regulatory reporting of derivatives across different jurisdictions</li><li>Monitoring of daily listed trading activity across all Futures Clearing Merchants</li><li>Provide insight of trading activity through reports and ad-hoc analysis of data</li><li>Collaborate and build relationships with our colleagues from different teams to solve issues and provide better solutions for our group</li><li>Involvement in new or ongoing projects driven by Asset Management</li><li>Collaborate with Technology to develop and improve our consumption and representation of big data</li><li>Challenge the status quo and drive meaningful change and improvements to our processes and controls</li></ul><p><br></p>
<p>We are seeking a Senior Business Analyst with strong technical acumen and advanced SQL expertise to support a high-profile enterprise implementation project. This individual will serve as the bridge between business and technical teams—translating complex requirements into actionable deliverables, validating configurations, and ensuring system accuracy through detailed testing and analysis.</p><p><br></p><p><strong><em>100% REMOTE | CST/EST TIMEZONES PREFERRED | GREENCARD HOLDER/US CITIZEN</em></strong></p><p><br></p><p><strong>Role Overview</strong></p><p>The Senior Business Analyst will collaborate closely with project managers, developers, and client stakeholders to define requirements, test configurations, and ensure seamless data flow across systems. This role is ideal for someone who thrives in technical environments, is comfortable digging into data with SQL, and can confidently validate system performance through configuration testing and data validation.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Partner with technical and business teams to gather, analyze, and document functional and non-functional requirements.</li><li>Write and execute complex SQL queries to extract, validate, and reconcile data across multiple systems.</li><li>Conduct configuration testing to ensure system setups align with documented requirements and business logic.</li><li>Support system testing, UAT, and regression testing—logging defects and driving resolution with developers.</li><li>Create detailed documentation for data mapping, process flows, and configuration outcomes.</li><li>Develop and maintain reports or dashboards to support decision-making and track implementation progress.</li><li>Facilitate requirements sessions and ensure clear alignment between business objectives and system functionality.</li><li>Provide ongoing analytical support post-deployment to monitor accuracy, identify gaps, and recommend enhancements.</li></ul>
<p>Job Title: Data Scientist – AI/ML (Time‑Series Focus)</p><p>Location: Houston, TX</p><p>Work Arrangement: Onsite Monday–Thursday (mandatory)</p><p><br></p><p>Overview</p><p>We are seeking a Data Scientist with a strong AI/ML focus to support advanced analytics and predictive modeling initiatives. This role is ideal for a hands‑on data scientist who combines deep technical expertise in time‑series modeling with the ability to translate complex data insights into clear business value.</p><p>You will work with diverse datasets to design, train, and deploy scalable machine learning solutions, with opportunities to contribute to projects involving large language models (LLMs), deep learning, anomaly detection, and advanced analytics.</p><p><br></p><p>What You’ll Do</p><ul><li>Analyze structured and unstructured business data to uncover trends and insights</li><li>Design, develop, and deploy time‑series forecasting and anomaly detection models</li><li>Perform feature engineering to improve model performance and reliability</li><li>Build and optimize machine learning and deep learning models using Python</li><li>Collaborate with stakeholders to translate analytical findings into actionable business recommendations</li><li>Develop dashboards, visualizations, and presentations to clearly communicate results to non‑technical audiences</li><li>Contribute to AI initiatives involving LLMs, NLP, deep learning, or multi‑agent systems as opportunities arise</li></ul>
<p>IoT Edge AI Data Engineer </p><p>Job Posting: IoT Edge Data Engineer – Hi-TECH AI SaaS Company - Direct Hire FTE</p><p>LOCATION: Pittsburgh PA HYBRID IN PITTSBURGH PA </p><p>WORK AUTHORIZATION: F1 OR OPT CONSIDERED for the right candidate</p><p>***** APPLY TODAY IF YOU HAVE EDGE DEVICE IOT DATA ENGINEERING, INTERVIEWS NOW....OFFER IN JANUARY! </p><p>Are you passionate about powering real-time AI and analytics at the intersection of devices, data, and the cloud? Our fast-growing, innovative SaaS fast GTM fast growing, industry disruptor is seeking an experienced IoT Edge AI Data Engineer to architect and build the next generation of edge-to-cloud data pipelines supporting sensor-driven platforms. You’ll be working with cutting-edge edge hardware, including NVIDIA Jetson, and developing solutions that transform raw sensor data into powerful, ML-ready streams and data pipelines.</p><p>YOU MUST HAVE: Data cleansing, data ingestion, and data engineering dealing with disparate complex data sources and getting data OFF OF Edge devices!!! THIS IS NOT A data science / data engineering typical role, you must have the EDGE IoT device experience. </p><p>**** To be considered on this pioneering team to Carrie Danger, Robert Half Technology / SVP Permanent Placement and apply to this position.***</p><p>KEYS:</p><p>Design & implement high volume data ingestion pipelines for IoT systems, from device through on-prem infrastructure to cloud platforms.</p><p>Develop edge computing solutions leveraging platforms like NVIDIA Jetson for near-real-time data processing, orchestration, & distribution.</p><p>Build robust frameworks to clean, validate, and prepare sensor, telemetry, and machine data for downstream ML engineering teams.</p><p>Architect and software engineer, infrastructure for reliable edge-to-cloud connectivity and data workflows.</p><p>Looking for experience: using technologies such as MQTT, Kinesis, and related telemetry protocols.</p><p>You MUST HAVE on prem hardware device experience: Optimize on-prem and distributed data flows for scalable, resilient performance.</p><p>YOU NEED: </p><p>3–4+ years of data engineering experience—MUST designing and deploying device-to-cloud pipelines for IoT/edge environments.</p><p>Hands-on experience with edge hardware (e.g., NVIDIA Jetson) and low-level data engineering.</p><p>Proficient in cloud data services, streaming, and orchestration (AWS, Azure, GCP, Kinesis, MQTT, Kafka, etc.).</p><p>Data cleansing, data ingestion, and data engineering dealing with getting data OFF OF Edge devices!!!</p><p>MUST HAVE SKILLS: MQTT, Telemetry, Sensor Data, Data Pipeline, Edge Computing, On-Prem, Device to Cloud, Data Orchestration</p><p>Strong software engineering skills: Python, C++.</p><p>Deep knowledge of sensor/telemetry data and proven capability in building scalable data infrastructure for ML/AI use cases.</p><p>Experience with on-premises distributed systems & cloud integration. </p><p>Prior work with edge AI or industrial IoT, developing robust real-time data pipelines.</p><p>hardware/software integration</p><p>Direct Hire FTE direct hire position up to $135K, plus potential other incentives. For immediate & confidential consideration on this IoT Edge AI Data Engineer = Hybrid in the Pittsburgh PA or Des Moines Iowa Market, please call Carrie Danger, SVP at 515-259 6087, or apply via LinkedIn. </p>
<p><strong>What you will do:</strong></p><ul><li>Lead analysis for an 18 month digital banking platform buildout and migration, ensuring delivery stays aligned to business strategy.</li><li>Review current state processes, practices, and operational metrics, then identify constraints, root causes, and improvement opportunities.</li><li>Capture and document requirements and artifacts that clearly describe current state and future state, translating complex processes and technology into clear narratives.</li><li>Convert business requirements into system specifications and maintain them in Jira, Confluence, and Azure DevOps.</li><li>Define and drive the work breakdown structure across involved teams, including timelines, dependencies, and requirement review sessions.</li><li>Perform data analysis, data mapping, and migration support to ensure legacy platform data is correctly mapped to the target platform.</li><li>Partner with vendors and service providers to validate features, functionality, and data needs to support timely delivery.</li><li>Provide production support leadership, including incident and problem management, timely resolution, and stakeholder communication.</li><li>Develop critical documentation and artifacts for project objectives, communicate findings, impacts, and next steps to stakeholders and subject matter experts.</li><li>Use Microsoft Office and diagramming tools such as Visio or Lucid to document banking processes and data flows.</li><li>Support risk, compliance, and governance expectations within a large financial institution environment, including KRIs, KPIs, and operational metrics maintenance and approvals.</li><li>Contribute to digital and core banking conversion efforts, including online banking and multiple data conversion workstreams.</li></ul><p><br></p>
<p><strong>Supply Chain Business Analyst (Contract)</strong></p><p><strong>Location: </strong>Minneapolis, MN (remote potential) </p><p><strong>Contract Length:</strong> 52 weeks</p><p><strong>About the Role</strong></p><p>We are seeking a <strong>Supply Chain Business Analyst</strong> who thrives in a fast-paced, data‑driven environment. In this role, you will focus on life‑cycle management activities, inventory transfers, and asset placement across multiple product lines. You will work cross‑functionally with Field Inventory, Marketing, Sales, Demand Planning, and Operations to streamline inventory usage and ensure accurate representation of assets within ERP systems.</p><p>This position requires a strategic mindset, strong analytical abilities, and a passion for optimizing supply chain performance. Over time, the role will expand to support activities across both legacy systems and product portfolios.</p><p><br></p><p><strong>Who You Are</strong></p><p><strong>Strategic Thinker:</strong> You enjoy analyzing data and trends to support forecasting, planning, budgeting, and reporting.</p><p><strong>Data Manager:</strong> You excel at compiling, organizing, and consolidating large volumes of data.</p><p><strong>Analytical Problem Solver:</strong> You go beyond addressing symptoms to identify root causes, evaluate solutions, and recommend improvements that prevent future issues.</p><p><br></p><p><strong>What You Will Do</strong></p><ul><li>Manage life cycle activities, including inventory transfers and product transitions.</li><li>Build collaborative relationships with branches, hubs, and sales representatives to coordinate retrieval of end-of-life products.</li><li>Evaluate cannibalization patterns between existing product lines and new system introductions, anticipating shifts in inventory usage.</li><li>Partner with Field Inventory teams to ensure accurate asset placement and clean-up of inventory records within ERP systems.</li><li>Work cross‑functionally with Marketing, Sales, Demand Planning, and Field Operations to improve customer service levels and support a more efficient, profitable supply chain.</li><li>Support product pullbacks and coordinate launch forecasts in collaboration with Demand Planning and Marketing.</li><li>Analyze, track, and communicate kit movement, targeting, and related supply chain activities.</li><li>Provide data-driven recommendations to support better supply chain decision-making.</li><li>Prepare analytical updates and progress reports for use in scheduled business reviews.</li><li>Highlight slow-moving inventory, incomplete transfers, and current field placements.</li><li>Partner with regional and field offices to source underutilized assets.</li><li>Review inventory turns and recommend adjustments to stock levels.</li><li>Supply leadership with data to support or deny requests for par level changes and expired product replacements.</li></ul>
We are looking for an experienced Program Manager to lead data warehousing initiatives within a dynamic and fast-paced environment in Columbus, Ohio. This role will focus on driving innovation and continuous improvement in the bank's Enterprise Data Warehouse platform, ensuring alignment with strategic goals and technological advancements. As a leader in the Data Technology organization, you will oversee a dedicated team while collaborating with cross-functional stakeholders to enhance the data ecosystem and meet evolving business needs. This is a long-term contract position offering an opportunity to shape and optimize data-driven solutions.<br><br>Responsibilities:<br>• Provide leadership and direction to a team of 12-16 professionals, offering coaching and technical guidance.<br>• Drive agile project execution to maintain consistent progress, transparency, and stakeholder involvement.<br>• Implement the organization's technology strategy, ensuring it aligns with enterprise objectives and business priorities.<br>• Manage demand planning and assess the feasibility and impact of data warehousing projects.<br>• Translate technical designs into physical data models, ensuring compliance with governance, architecture, and business requirements.<br>• Collaborate with operational data teams to manage data sources and downstream systems for reporting and analytics.<br>• Oversee incident resolution and implement continuous improvement initiatives to enhance operational metrics.<br>• Partner with business and technology leaders to understand requirements and deliver effective data solutions.<br>• Maintain efficiency within the data warehouse platform while supporting innovation and scalability.<br>• Perform additional responsibilities as needed to support organizational goals.
