We are looking for a Data Analyst to join a FinTech organization in New York, New York. This Long-term Contract position is ideal for someone who enjoys translating complex commercial and sales data into practical recommendations that support pricing, forecasting, and business decisions. In this role, you will work across teams to strengthen reporting accuracy, develop analytical models, and present insights that help guide deal strategy and revenue outcomes.<br><br>Responsibilities:<br>• Build and refine analytical models and reusable templates to evaluate new business opportunities as well as converted accounts.<br>• Perform margin-focused assessments on proposed deals to support pricing decisions and overall commercial strategy.<br>• Create clear presentation materials that summarize commercial proposals, financial considerations, and key business insights.<br>• Prepare internal review decks that clearly communicate deal performance, assumptions, risks, and recommendations for stakeholders.<br>• Audit and validate Salesforce data to improve consistency, completeness, and reporting reliability.<br>• Maintain accurate weekly tracking reports and ensure leadership has timely visibility into performance metrics and pipeline activity.<br>• Analyze sales and pricing data to uncover trends, compare scenario outcomes, and support revenue forecasting.<br>• Partner with cross-functional teams including Sales and Finance to align analysis with business objectives and customer needs.
We are looking for a Data Analyst to support revenue cycle performance through thoughtful reporting, data interpretation, and visual analytics in Westerville, Ohio. This contract opportunity with permanent potential is ideal for someone who can turn complex operational and financial data into clear recommendations that help leaders improve patient accounts outcomes. The role partners closely with analytics and revenue cycle stakeholders to build dependable reporting tools, surface performance insights, and guide informed business decisions while handling sensitive information with discretion.<br><br>Responsibilities:<br>• Evaluate revenue cycle and patient accounts data to uncover patterns, variances, and opportunities that influence operational and financial results.<br>• Gather, clean, transform, and organize data from multiple sources to create consistent datasets for recurring analysis and reporting.<br>• Design, update, and optimize dashboards, scorecards, and automated reports that improve visibility into key performance indicators.<br>• Deliver ad hoc analyses for leadership, translating findings into practical recommendations that support timely decision-making.<br>• Work with managers and business partners to investigate root causes of performance issues and quantify their impact on outcomes.<br>• Present analytical findings through concise written summaries, visualizations, and verbal updates tailored to stakeholder needs.<br>• Maintain clear documentation for data definitions, logic, methodologies, and reporting assets to support transparency and long-term usability.<br>• Collaborate effectively across teams, share knowledge with colleagues, and help maintain workflow coverage when business needs require additional support.
<p><strong>Robert Half</strong> is actively partnering with an Austin-based client to identify a <strong>Data Analyst (contract).</strong> In this role, you will serve as a strategic partner between business stakeholders and the data platform. As well as transform complex business questions into scalable analytics solutions, enabling data-driven decision-making across multiple departments. <strong>This role is hybrid in Austin, Tx. </strong></p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Partner with stakeholders to translate business questions into actionable analytics solutions.</li><li>Gather requirements, define KPIs, and create scalable reporting frameworks.</li><li>Design, build, and maintain analytics data models using SQL and dbt.</li><li>Develop and enhance dashboards, reports, and self-service BI solutions.</li><li>Perform data validation, testing, and quality assurance to ensure accurate reporting.</li><li>Conduct trend analysis and root-cause investigations to support business decisions.</li><li>Present insights and recommendations to technical and non-technical audiences.</li><li>Collaborate on data platform enhancements, reporting consolidation, and modernization initiatives.</li><li>Automate recurring reporting and analytics processes using Python.</li><li>Maintain documentation, data governance standards, and reporting best practices.</li><li>Support secure handling of financial, operational, customer, and employee data.</li><li>Contribute to code reviews, CI/CD processes, and continuous improvement efforts.</li></ul>
<p>Robert Half is seeking a Contract Data Analyst to join our client's team. As a Data Analyst, you will be responsible for collecting, processing, and analyzing data to provide actionable insights that support business decisions. This contract position offers an exciting opportunity to work with a dynamic team and help drive data-driven strategies for a respected organization.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ol><li><strong>Data Collection and Analysis:</strong> Collect, clean, and analyze data from various sources to identify trends, patterns, and insights that inform business decisions.</li><li><strong>Reporting:</strong> Create and maintain dashboards, reports, and visualizations that communicate findings to stakeholders in a clear and concise manner.</li><li><strong>Data Validation:</strong> Ensure data integrity by conducting regular audits, validation, and quality checks.</li><li><strong>Collaboration:</strong> Work closely with cross-functional teams to understand data requirements and provide insights that support strategic goals.</li><li><strong>Data Modeling:</strong> Develop and maintain data models, forecasts, and simulations to support business planning and operations.</li><li><strong>Trend Analysis:</strong> Monitor key performance indicators (KPIs) and analyze data trends to identify opportunities for improvement.</li><li><strong>Documentation:</strong> Document data processes, methodologies, and findings to ensure transparency and reproducibility of results.</li><li><strong>Ad Hoc Analysis:</strong> Provide ad hoc analysis and reporting support as needed to assist in decision-making processes.</li></ol><p><br></p>
We are seeking a detail-oriented Data Analyst to support material and vendor master data management for a well-established organization. This position is responsible for maintaining accurate data within SAP, processing material and vendor updates, supporting data governance initiatives, and ensuring data integrity across business operations. The ideal candidate brings experience in SAP, master data management, data validation, and process improvement, along with strong analytical and organizational skills. Key Responsibilities Create, update, and maintain material and vendor master records within SAP. Ensure accuracy, completeness, and consistency of master data across systems. Process vendor setup requests, changes, and updates while verifying required documentation and approvals. Maintain material records throughout the product lifecycle, including status changes and updates. Support data governance policies, procedures, and quality standards. Research and resolve data discrepancies, errors, and system-related issues. Collaborate with cross-functional teams to address data requests and operational needs. Support data synchronization and publication processes, including GDSN, 1WorldSync, and GS1 standards. Monitor shared mailboxes, manage incoming requests, and meet established service-level agreements (SLAs). Assist with data cleanup, reporting, and process improvement initiative
We are looking for a Data Analyst to join an education-focused organization on a contract-to-permanent basis. This role will bring structure and visibility to contract and vendor data by turning scattered information into reliable insights that support renewal planning and procurement decisions. The person in this position will work closely with sourcing, software asset management, finance, and vendor management stakeholders to improve oversight of agreements and help the team operate more proactively. This opportunity is well suited for someone who combines strong analytical ability with hands-on experience in vendor contracts, renewals, and procure-to-pay environments.<br><br>Responsibilities:<br>• Consolidate contract, procurement, finance, and usage information from multiple systems into organized datasets that support accurate tracking and reporting.<br>• Review and cleanse existing records to improve data quality, identify gaps, and create a dependable foundation for renewal and vendor oversight activities.<br>• Analyze upcoming contract expirations and renewal timelines to help the team prioritize actions and reduce reactive management of agreements.<br>• Partner with sourcing leads, software asset management professionals, and vendor management stakeholders to evaluate vendor portfolios and support governance reviews.<br>• Generate reports and spreadsheets that highlight contract status, vendor tiering, financial considerations, and lifecycle activity for decision-makers.<br>• Extract and interpret information from platforms such as Coupa, ServiceNow, finance tools, and other contract repositories to build useful business insights.<br>• Support vendor lifecycle and procure-to-pay analysis by identifying trends, tracking obligations, and improving visibility across active agreements.<br>• Collaborate with internal teams and external vendors to validate contract details, resolve discrepancies, and maintain consistent records across systems.
We are looking for a Data Analyst to support reporting, audience targeting, and data-driven decision-making for a manufacturing organization in Diamond Bar, California. This Long-term Contract position partners closely with business stakeholders to translate operational goals into meaningful reports, reliable datasets, and actionable audience lists. The ideal candidate brings strong analytical skills, hands-on experience with SQL and Excel, and the ability to communicate clearly while maintaining high standards for data accuracy.<br><br>Responsibilities:<br>• Partner with business teams to gather reporting needs, clarify audience outreach objectives, and turn those needs into practical data solutions.<br>• Develop and refine reports, datasets, and audience lists that help stakeholders measure performance and support business priorities.<br>• Write and troubleshoot SQL queries across multiple tables, using joins and backend reporting techniques to extract accurate information.<br>• Pull, validate, and organize data from platforms such as Salesforce and marketing-related systems to support analysis and campaign targeting.<br>• Perform data validation checks and investigate quality issues to improve confidence in reporting outputs and audience segmentation.<br>• Use advanced Excel functions, including PivotTables and lookup formulas, to analyze trends, reconcile data, and present findings clearly.<br>• Build targeted audience segments and list selections based on defined business rules, data attributes, and outreach requirements.<br>• Communicate proactively with cross-functional partners to provide status updates, resolve issues quickly, and ensure deliverables align with expectations.
We are looking for a Data Analyst to join a team in Somerset, New Jersey and turn complex information into actionable insight that strengthens fraud detection efforts. This contract opportunity with potential for a permanent role is ideal for someone who combines strong analytical thinking with practical experience identifying suspicious patterns, supporting investigations, and improving anti-fraud decision-making. The role offers the chance to work closely with business partners to interpret data, surface risk trends, and contribute to a more proactive fraud strategy.<br><br>Responsibilities:<br>• Examine large data sets to identify unusual activity, emerging fraud patterns, and indicators of potential risk.<br>• Create reports, dashboards, and analytical summaries that help stakeholders monitor fraud performance and make informed decisions.<br>• Partner with investigation and business teams to translate data findings into practical actions that support fraud prevention efforts.<br>• Evaluate transactional and behavioral information to uncover trends, root causes, and opportunities to reduce exposure.<br>• Support fraud investigations by gathering, organizing, and interpreting relevant data from multiple sources.<br>• Refine analytical methods and detection approaches to improve accuracy, efficiency, and responsiveness in anti-fraud initiatives.
<p>We are seeking a Data Analyst to support the design, development, implementation, and maintenance of software applications and data management solutions. This role requires close collaboration with cross-functional teams to deliver scalable technology solutions that meet business and operational needs.</p><p>Responsibilities</p><ul><li>Gather, analyze, and document business and technical requirements.</li><li>Translate requirements into functional specifications, technical designs, and implementation plans.</li><li>Research, evaluate, and recommend technologies, platforms, tools, and development approaches.</li><li>Design, develop, test, and deploy software applications, integrations, and database solutions.</li><li>Collaborate with project teams to define priorities, estimate effort, and support project delivery.</li><li>Assist with identifying, tracking, and resolving project risks, issues, and dependencies.</li><li>Work with stakeholders to provide status updates, gather feedback, and ensure alignment with project objectives.</li><li>Develop and maintain technical documentation, including system designs, processes, configurations, and support materials.</li><li>Troubleshoot, maintain, and enhance existing applications and systems.</li><li>Support cloud-based and enterprise technology environments as needed.</li><li>Participate in quality assurance, testing, and continuous improvement activities.</li><li>Perform other related duties and responsibilities as assigned.</li></ul><p>Qualifications</p><ul><li>Experience in software development, application support, or systems implementation.</li><li>Knowledge of software development methodologies and best practices.</li><li>Experience with databases, application design, and system integration concepts.</li><li>Strong analytical, problem-solving, and organizational skills.</li><li>Ability to manage multiple priorities and work effectively in a team environment.</li><li>Strong written and verbal communication skills.</li><li>Ability to learn new technologies and adapt to changing business needs.</li></ul><p><br></p>
We are looking for a Data Analyst to join a financial services organization in Moline, Illinois on a contract-to-permanent basis. In this role, you will turn business questions into clear technical requirements and help teams use data to make informed decisions. You will work closely with stakeholders across business, technology, and security functions to support the development of reliable reporting and analytics solutions.<br><br>Responsibilities:<br>• Partner with business teams to gather, clarify, and document reporting and analytics needs in a way that supports technical development.<br>• Convert business objectives into detailed specifications for data products, dashboards, and reporting solutions.<br>• Act as a key connection point between operational stakeholders and analytics teams to ensure requirements are complete, accurate, and actionable.<br>• Create meaningful visualizations and data narratives that help associates and members understand trends, performance, and opportunities.<br>• Support the design and delivery of business intelligence solutions using reporting and analytics tools aligned with organizational needs.<br>• Collaborate with information technology, data owners, and security partners to maintain data quality and uphold standards for confidentiality, integrity, and availability.<br>• Analyze data sets to identify issues, answer business questions, and recommend practical solutions with minimal supervision.<br>• Contribute to ongoing analytics initiatives by tracking requirements, coordinating feedback, and assisting with related project activities as needed.
<p>Robert Half is seeking an<strong> IFS Enterprise Asset Management (EAM) Solution Architect</strong> to support a strategic asset management transformation initiative for a large asset-intensive client. This consultant will serve as a trusted advisor responsible for evaluating the client's current-state IFS EAM environment and designing a scalable future-state framework that improves asset reliability, maintenance effectiveness, governance, reporting, and operational decision-making. Apply today! </p><p><br></p><p><strong>Duration:</strong> 3 months contract with potential to extend, depending on performance </p><p><strong>Location:</strong> 100% Remote, occasional travel to Seattle</p><p><strong>Schedule:</strong> Open to candidates who’d be interested in Part Time or Full Time work</p><p> </p><p><strong>Key Responsibilities</strong></p><ul><li>Assess current-state IFS EAM configuration, business processes, data structures, and governance practices.</li><li>Lead discovery sessions and workshops with maintenance, operations, supply chain, engineering, IT, and business stakeholders.</li><li>Design scalable asset hierarchy models, equipment structures, and master data governance frameworks.</li><li>Evaluate and optimize maintenance planning, preventive maintenance, work order management, scheduling, and execution processes.</li><li>Develop recommendations for warehouse operations, spare parts management, BOM governance, and inventory controls.</li><li>Establish reliability and performance measurement frameworks, including KPIs, reporting models, and asset lifecycle metrics.</li><li>Identify opportunities to leverage standard IFS capabilities while reducing reliance on custom processes and workarounds.</li><li>Create future-state operating models, implementation roadmaps, and prioritized improvement initiatives.</li><li>Support organizational readiness, training, knowledge transfer, and adoption activities.</li><li>Provide strategic guidance throughout assessment, design, and optimization phases of the engagement.</li></ul>
We are looking for a Data Analyst to support reliable data operations and help maintain the flow, quality, and usability of critical information across the organization. This role is based in Nashville, Tennessee, and is well suited for someone who combines strong Python and SQL skills with a methodical approach to troubleshooting data issues. The person in this position will work closely with technical teams and business partners to identify problems, improve pipeline performance, and keep stakeholders informed in a fast-paced environment.<br><br>Responsibilities:<br>• Oversee daily data processing activities to identify failed loads, broken workflows, or feed issues and take prompt action to restore normal operations.<br>• Investigate delays in incoming data, determine underlying causes, and implement corrective steps to improve consistency and timeliness.<br>• Collaborate with internal technology teams, delivery partners, and external vendors to communicate status updates, risks, and progress on data-related work.<br>• Troubleshoot coding and data quality problems, fulfill support requests, and develop practical measures that reduce repeat incidents.<br>• Evaluate competing issues independently, set priorities based on business impact, and recommend improvements to inefficient code or operational processes.<br>• Maintain clear documentation and provide regular communication so stakeholders understand incidents, resolutions, and next steps.<br>• Participate in an on-call support rotation to respond to pipeline or data availability incidents when needed.<br>• Contribute to additional operational and analytical initiatives that strengthen data reliability and support organizational goals.
We are looking for a Data Analyst to join a FinTech organization on a long-term contract assignment. This role focuses on transforming commercial and sales data into meaningful analysis that supports pricing decisions, revenue planning, and opportunity evaluation. The successful candidate will work closely with cross-functional partners to develop clear reporting, validate critical business data, and deliver insights that strengthen decision-making across the business.<br><br>Responsibilities:<br>• Create analytical models and decision-support templates to assess new business and converted opportunities.<br>• Evaluate deal economics by examining margins, pricing structures, and overall commercial viability.<br>• Develop effective presentation materials that summarize commercial proposals and support stakeholder discussions.<br>• Prepare internal review decks that clearly communicate deal performance, assumptions, and recommendation points.<br>• Audit and maintain Salesforce data to improve accuracy, consistency, and reporting reliability.<br>• Keep weekly tracking reports current by monitoring key metrics, updating performance data, and highlighting notable changes.<br>• Analyze sales and pricing information to uncover trends, identify opportunities, and support more competitive market decisions.
We are looking for a Data Analyst to support enterprise decision-making through advanced analytics, business intelligence, and data-driven recommendations. This Long-term Contract position is based in Boca Raton, Florida, with remote work flexibility and occasional travel as needed. The person in this role will turn complex operational and financial data into clear insights, practical reporting tools, and predictive models that help leaders improve performance and identify new opportunities.<br><br>Responsibilities:<br>• Analyze current and historical business data to uncover trends, risks, and opportunities that influence operational and strategic outcomes.<br>• Create and maintain dashboards, scorecards, and key performance indicators that give leadership clear visibility into business performance.<br>• Write advanced SQL queries and use Python to extract, transform, and evaluate large datasets from multiple enterprise platforms.<br>• Translate analytical findings into concise recommendations, executive-ready presentations, and decision support materials for senior stakeholders.<br>• Develop statistical, forecasting, and automated analytical solutions that strengthen reporting efficiency and business planning.<br>• Partner with operations, quality, finance, IT, business intelligence, and data science teams to define requirements and deliver practical analytics solutions.<br>• Perform ad hoc analysis in support of strategic initiatives, leadership requests, and continuous improvement efforts.<br>• Validate data integrity, investigate anomalies, and coordinate with technical teams to resolve data quality issues.<br>• Build repeatable analytical workflows and reusable code that reduce manual effort and improve scalability across reporting processes.
<p>Robert Half is seeking a Billing Administrator to oversee legal and insurance-related billing operations for our client's team. This Billing Administrator position is ideal for someone who can manage invoice activity with precision, navigate electronic billing platforms confidently, and partner effectively with internal stakeholders to keep accounts moving smoothly. The role requires strong follow-through, sound judgment, and a detailed approach to resolving billing issues while supporting accurate and timely revenue processes.</p><p><br></p><p>Responsibilities:</p><ul><li>Oversee the complete billing cycle, from invoice preparation through final submission, with a focus on accuracy and timeliness.</li><li>Submit and track invoices through client e-billing portals, ensuring documentation is entered correctly and processed without unnecessary delays.</li><li>Manage insurance appeal activity by responding to denials, addressing disputed charges, and following through until resolution.</li><li>Audit billing entries and supporting data to identify inconsistencies, then work with attorneys and internal partners to correct issues.</li><li>Monitor invoice progress, payment updates, and aged balances to help maintain healthy receivables.</li><li>Apply client-specific billing rules and legal invoicing standards to reduce rejections and maintain compliance.</li><li>Keep organized billing records and generate reports that support visibility into billing performance and account status.</li><li>Partner with cross-functional teams to streamline billing workflows and improve collection outcomes.</li></ul>
<p><strong>Job Title:</strong> Billing Administrator</p><p><strong>Location:</strong> Boca Raton, FL | Hybrid</p><p>Our client in <strong>Boca Raton</strong> is seeking a <strong>Billing Administrator</strong> with a <strong>great attitude</strong>, strong attention to detail, and a team-first mindset. This hybrid role is ideal for someone who enjoys working in a fast-paced environment, takes pride in accuracy, and can build positive relationships with both internal teams and clients.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Prepare, review, and process client invoices accurately and on time</li><li>Verify billing data, resolve discrepancies, and research billing issues</li><li>Maintain billing records and support documentation</li><li>Work closely with accounting, operations, and client contacts to ensure smooth billing processes</li><li>Assist with account reconciliations and reporting</li><li>Respond to billing inquiries professionally and promptly</li><li>Support month-end billing activities and related administrative tasks</li></ul><p><br></p><p><br></p>
<p>We are looking for a Data Automation Engineer to design, develop, and maintain scalable data automation solutions leveraging AWS cloud services, selected Azure technologies, and emerging Generative AI capabilities.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Design and implement scalable data automation workflows using AWS services with integration to Azure platforms.</p><p>· Develop and maintain ETL/ELT processes to ingest, transform, and move data across DynamoDB, SQL Server, Azure SQL, and other enterprise data sources.</p><p>· Build and support batch and near real-time data pipelines using Apache Spark and streaming technologies such as Kafka or Flume.</p><p>· Develop scalable data processing solutions utilizing Amazon EMR, AWS Fargate, Kubernetes, and related cloud technologies.</p><p>· Integrate REST APIs, external services, and Amazon Connect customer interaction data into analytics platforms.</p><p>· Evaluate and prototype Generative AI solutions using Amazon Bedrock, Azure OpenAI, Hugging Face, LangChain, and related technologies.</p><p>· Implement source control, CI/CD, and automation practices using GitHub, Azure DevOps, Jenkins, Docker, and Agile methodologies.</p><p>· Ensure data solutions meet security and compliance requirements, including IAM, encryption, RBAC, VPC isolation, and firewall policies.</p>
<p>100% Onsite Role. We are looking for a Data Scientist to support advanced analytics and machine learning initiatives in Sacramento, California. This Long-term Contract position focuses on creating practical, production-ready solutions that improve operational decision-making, with an early emphasis on predictive maintenance and fleet performance in asset-heavy environments. The role works closely with business leaders and technical teams to turn complex data into reliable models, useful insights, and scalable AI capabilities. Must have experience in construction, mining, transportation, manufacturing, energy, or other asset-intensive industries</p><p><br></p><p>Responsibilities:</p><p>• Build, test, and implement machine learning and analytical models using operational, maintenance, and telemetry data to improve equipment reliability and reduce unexpected downtime.</p><p>• Create pilot solutions with measurable success criteria, then develop high-performing concepts into stable model pipelines suitable for ongoing production use.</p><p>• Convert analytical results into clear recommendations, dashboards, or decision-support outputs that help both technical teams and business stakeholders act with confidence.</p><p>• Partner with data engineering teams to shape requirements for data intake, transformation, feature creation, and model delivery across the broader data environment.</p><p>• Document methodologies, assumptions, dependencies, and performance results to support transparency, repeatability, and effective model governance.</p><p>• Provide input on enterprise data architecture needs from a data science perspective, including dataset design, feature availability, experiment tracking, and model readiness.</p><p>• Identify data limitations, quality concerns, and enrichment opportunities that could influence model accuracy or business value.</p><p>• Work with cross-functional partners to define new analytics and AI opportunities and assess external tools or vendor-developed solutions when needed.</p>
We are looking for a Data Scientist to join a healthcare-focused technology team in Bala Cynwyd, Pennsylvania on a Long-term Contract basis. This position will support predictive analytics initiatives tied to state programs, quality oversight, compliance monitoring, and risk evaluation. The role is well suited for someone who can work comfortably across technical analysis, stakeholder communication, and team guidance while using modern Microsoft-based data tools.<br><br>Responsibilities:<br>• Build and refine predictive models that support healthcare analytics, quality measurement, compliance assessment, and risk-related reporting.<br>• Analyze complex datasets to uncover trends, generate actionable insights, and improve decision-making for program and operational stakeholders.<br>• Create interactive dashboards and reporting solutions in Power BI to present findings in a clear and business-friendly format.<br>• Use R, Python, SQL, and related tools to prepare data, perform statistical analysis, and develop repeatable analytical workflows.<br>• Work within Azure and Microsoft-based data environments, including SQL Server and MySQL, to manage and access structured data sources.<br>• Partner with analysts and business teams to translate technical results into practical recommendations for non-technical audiences.<br>• Provide day-to-day guidance and informal leadership within a small analytics team, helping coordinate priorities and support best practices.<br>• Contribute to data engineering and integration activities, including ETL processes and the use of tools such as Spark, Hadoop, and Kafka where needed.<br>• Leverage approved AI tools such as Copilot to improve efficiency in analysis, documentation, and reporting tasks.
<p>For our client, we are seeking a Data Scientist to develop advanced analytics, predictive models, and machine learning solutions that support strategic business decisions. This individual will work with large datasets, identify meaningful patterns, and collaborate with technical and business teams to deliver actionable insights through statistical analysis, data modeling, and artificial intelligence.</p>
We are looking for a Data Scientist to support advanced data initiatives in Dover, Delaware. This Long-term Contract position focuses on building scalable data solutions, uncovering actionable insights, and helping stakeholders make informed decisions through reliable analysis. The ideal candidate brings strong technical depth across modern data platforms and is comfortable working with large, complex datasets in a collaborative environment.<br><br>Responsibilities:<br>• Design and maintain data pipelines that collect, transform, and prepare large datasets for analytical and operational use.<br>• Develop statistical models and data-driven solutions that help identify trends, improve forecasting, and support business strategy.<br>• Use Python and distributed processing tools to analyze high-volume data efficiently and produce meaningful recommendations.<br>• Work with Spark and Hadoop-based environments to manage large-scale data processing and support advanced analytics workloads.<br>• Integrate streaming and batch data from multiple sources, including Kafka, to ensure timely and accurate data availability.<br>• Partner with cross-functional teams to translate business questions into analytical approaches, technical requirements, and measurable outcomes.<br>• Build ETL workflows that improve data quality, consistency, and accessibility across reporting and analytical platforms.<br>• Document methodologies, assumptions, and results clearly so that technical and non-technical stakeholders can understand key findings.
<p>We are looking for a Data Scientist to join our clients pricing and analytics team. This role is ideal for someone early in their career who combines strong statistical thinking with an interest in insurance economics, especially in areas such as pricing, reserving, and telematics-driven analysis. You will partner closely with senior pricing and actuarial leaders, working across the full analytical lifecycle from raw data exploration to business-facing recommendations. The position offers broad exposure to how insurance performance is measured, explained, and improved through disciplined modeling and clear communication.</p><p><br></p><p>Responsibilities:</p><p>• Perform end-to-end analytical work that supports insurance rate reviews, including data preparation, trend evaluation, loss development analysis, and documentation used for regulatory support.</p><p>• Develop, test, and refine pricing and telematics models using statistical and machine learning techniques, ensuring results are accurate, explainable, and suitable for business use.</p><p>• Assist with reserving analysis by working with loss triangles, development patterns, and ultimate loss estimates that align actuarial findings with financial reporting.</p><p>• Create and maintain recurring performance dashboards and reporting that track key indicators such as loss ratios, claim frequency, claim severity, and cohort behavior.</p><p>• Investigate unusual shifts in portfolio performance, segment results, or customer retention trends, and translate findings into actionable insights for the broader team.</p><p>• Write organized, reusable code and data workflows that support independent analysis while making it easy for others to review and build on your work.</p><p>• Collaborate with pricing and actuarial stakeholders to gradually take ownership of increasingly complex analyses and modeling assignments as your experience grows.</p><p>• Communicate analytical conclusions clearly in written materials and presentations for audiences that need business impact explained without technical detail.</p>
<p>We are looking for a Data Governance Engineer to support the implementation, administration, and continuous improvement of enterprise data governance capabilities across a modern cloud data platform. This role will work closely with data platform, security, and product teams to translate governance requirements into scalable technical solutions that improve data security, accessibility, quality, and compliance.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Administer and configure Snowflake security and governance capabilities, including RBAC, dynamic masking, and object tagging.</p><p>· Implement, maintain, and troubleshoot access governance controls within Immuta and other governance platforms.</p><p>· Configure and monitor data quality checks, alerting mechanisms, and governance-related operational processes.</p><p>· Maintain, enrich, and optimize enterprise data catalog content to improve discoverability, classification, and metadata quality.</p><p>· Support the adoption and enhancement of AI-assisted data documentation and description generation tools.</p><p>· Partner with engineering teams to test, validate, and deploy ingest-time data tagging and metadata management solutions.</p><p>· Collaborate with program and product stakeholders to translate governance policies, security requirements, and compliance standards into technical implementations.</p><p>· Support governance operations, incident resolution, root cause analysis, and continuous process improvement initiatives.</p><p>· Participate in evaluations, testing, and implementation of new governance, catalog, quality, and security technologies.</p>
<p><strong>Data Analyst I</strong></p><p><strong>Location: Hybrid, 4 days onsite / 1 day remote </strong></p><p><strong>Duration: Contract with potential for full-time conversion</strong></p><p><br></p><p>This entry-level Data Analyst opportunity is ideal for a highly curious, analytical, and proactive problem solver who enjoys identifying trends, investigating issues, improving processes, and driving operational efficiency. The role focuses on root cause analysis, process optimization, and collaborating with business partners to create sustainable operational improvements.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Identify trends, recurring issues, and opportunities for process improvement across operational workflows</li><li>Investigate root causes of issues and implement sustainable corrective actions</li><li>Analyze data from daily reports, closed tickets, and workflow activities to improve operational efficiency</li><li>Research, troubleshoot, and resolve complex or unfamiliar issues</li><li>Document findings, recommendations, process updates, and operational changes</li><li>Partner with stakeholders to streamline processes and eliminate unnecessary work</li><li>Monitor workflow performance and recommend enhancements to improve business outcomes</li><li>Support continuous improvement initiatives through data-driven analysis and problem-solving</li></ul>
We are looking for an experienced Data/Information Architect to shape and advance a modern cloud-based data environment. This long-term contract opportunity is well suited for someone who can define scalable architecture, optimize data flow, and support enterprise reporting and analytics needs. The role centers on designing high-performing Snowflake solutions, establishing strong data models, and connecting information from multiple business platforms into a unified ecosystem.<br><br>Responsibilities:<br>• Define and evolve the overall architecture for a cloud data platform with a focus on scalability, reliability, and long-term performance.<br>• Create Snowflake-based solutions that support efficient data storage, transformation, and consumption for analytics and reporting.<br>• Develop logical and physical data models that improve consistency, usability, and governance across enterprise datasets.<br>• Integrate data from a range of internal business applications and external sources to build a connected and dependable information framework.<br>• Partner with technical and business stakeholders to translate reporting and analytical goals into practical architectural designs.<br>• Establish standards for data organization, documentation, and file management to support accuracy, accessibility, and compliance needs.<br>• Review existing data processes and recommend improvements that strengthen platform efficiency, quality, and maintainability.<br>• Provide architectural guidance on digital content and documentation-related data structures where they intersect with enterprise information systems.