<p><strong>Data Engineer (Hybrid, Los Angeles)</strong></p><p><strong>Location:</strong> Los Angeles, California</p><p><strong>Compensation:</strong> $140,000 - $175,000 per year</p><p><strong>Work Environment:</strong> Hybrid, with onsite requirements</p><p>Are you passionate about crafting highly-scalable and performant data systems? Do you have expertise in Azure Databricks, Spark SQL, and real-time data pipelines? We are searching for a talented and motivated <strong>Data Engineer</strong> to join our team in Los Angeles. You'll work in a hybrid environment that combines onsite collaboration with the flexibility of remote work.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and implement data pipelines and ETL workflows using cutting-edge Azure technologies (e.g., Databricks, Synapse Analytics, Synapse Pipelines).</li><li>Manage and optimize big data processes, ensuring scalability, efficiency, and data accuracy.</li><li>Build and work with real-time data pipelines leveraging technologies such as Kafka, Event Hubs, and Spark Streaming.</li><li>Apply advanced skills in Python and Spark SQL to build data solutions for analytics and machine learning.</li><li>Collaborate with business analysts and stakeholders to implement impactful dashboards using Power BI.</li><li>Architect and support the seamless integration of diverse data sources into a central platform for analytics, reporting, and model serving via ML Flow.</li></ul><p><br></p>
<p>We are looking for a highly skilled Lead Data Analyst. In this long-term contract position, you will play a pivotal role in driving data analytics initiatives, translating complex business requirements into actionable insights, and leading projects that enhance organizational decision-making. This role requires strong leadership capabilities, technical expertise, and a passion for leveraging data to solve real-world business problems.</p><p><br></p><p>Responsibilities:</p><p>• Lead data analytics projects from conception to deployment, ensuring alignment with business objectives and requirements.</p><p>• Collaborate with stakeholders across functions to identify opportunities for applying data analytics solutions to business challenges.</p><p>• Develop and maintain dashboards, reports, and visualizations using business intelligence platforms such as Power BI and Tableau.</p><p>• Ensure data integrity by coordinating with business process owners and implementing robust validation and mapping processes.</p><p>• Provide technical leadership and mentorship to other analysts, fostering best practices in data analytics and governance.</p><p>• Conduct root cause analysis and advanced troubleshooting to address complex data-related issues.</p><p>• Translate stakeholder requirements into effective data analytics solutions, leveraging tools and methodologies to deliver optimal results.</p><p>• Lead discussions and presentations to medium-sized groups, building credibility and rapport within the organization.</p><p>• Drive data migration and transformation efforts, ensuring seamless integration and alignment with business processes.</p><p>• Apply expertise in relational database and data modeling concepts to support analytics initiatives.</p>
<p>Position Summary:</p><p>- Under general supervision the Technical Analyst will bring a strong analytical mindset in support of business needs analysis and data/analytical solution development. This role combines technical capabilities with business analysis to analyze test and implement solutions that drive operational efficiency through advanced analytical capabilities. The ideal candidate will have a strong technical background and be comfortable working with large datasets spatial and temporal and collaborating with cross-functional teams including data scientists to deliver impactful outcomes. Strong analytical thinking self-drive and excellent communication and collaboration skills are essential.</p><p><br></p><p>Duties and Responsibilities:</p><p>- Analyze business processes and translate requirements into technical/analytical specifications.</p><p>- Design and develop scripts APIs and automation tools to support advanced technical analysis.</p><p>- Build and maintain data pipelines in support of data analytics.</p><p>- Collaborate with stakeholders and data scientists to define problems document solutions and support implementation.</p><p>- Develop/improve reports and visualizations as needed to communicate insights and metrics.</p><p>- Ensure data quality and reliability in support of analytics and insights.</p><p>- Support Agile development processes including sprint planning backlog grooming and UAT.</p><p>- Prepare technical documentation and contribute to knowledge sharing across teams.</p><p>- Apply geospatial analysis techniques and tools to support location-based decision-making.</p>
We are looking for an entry-level Data Scientist to join a dynamic analytics team in New York, New York. This role offers the opportunity to work closely with large datasets, uncover meaningful trends, and present actionable insights directly to clients. If you are detail-oriented, technically skilled, and passionate about turning data into impactful business solutions, this position is an excellent fit for you.<br><br>Responsibilities:<br>• Analyze large client datasets to perform Matchback reporting using Excel and internal tools.<br>• Create visually compelling PowerPoint presentations featuring charts and graphs to summarize insights.<br>• Present analytical findings and recommendations directly to clients, showcasing strong communication skills.<br>• Collaborate with team members and executives to ensure alignment on data-driven strategies.<br>• Assist with predictive modeling projects, leveraging external vendor tools and receiving training as needed.<br>• Maintain and optimize reporting processes to ensure accuracy and efficiency.<br>• Utilize Python and SQL to support data analysis and visualization tasks.<br>• Apply data visualization techniques through tools like Tableau or Power BI to enhance reporting.<br>• Provide timely updates and insights to stakeholders, contributing to strategic decision-making.
Data Analyst Manager (2)<br><br>Roles & Responsibilities <br><br>Oversee an offshore team of Healthcare Data Analysts and QA engineers under the direction of the Director of Data Management.<br>Collaborate with various client-facing teams and both inter-departmental and intra-departmental teams to address complex healthcare challenges.<br>Take the lead in communicating with clients to resolve any technical issues they may have.<br>Guide the Data Operations team in understanding customer business needs and converting them into application and operational requirements..<br>Act as a process champion, utilizing in-depth knowledge of organization policies and operations processes.<br>Ensure modules in the product meet the functional requirements, system compliance, and interface specifications through ongoing performance monitoring of team members.<br><br><br>Bachelor’s Degree or equivalent industry experience<br>7+ years of experience performing analysis on healthcare data<br>Clinical Knowledge of various Healthcare Data listed above<br>Advanced skillset with SQL for data analysis and reporting <br>Strong verbal and written communication skills<br>Currently eligible to work in the U.S. without assistance in getting an employment visa or work authorization.<br>Required Knowledge Areas<br>Data Analytics & Statistics Experience<br>SQL & Databases – Experience writing queries to extract and manipulate data from SQL Server, PostgreSQL, MySQL, or Oracle databases.<br>Excel & Spreadsheets – Advanced Excel skills (pivot tables, VLOOKUP, tables and charts )<br>Healthcare Industry Knowledge<br>Healthcare Data Standards – Understanding of ICD-10, CPT, HCPCS, LOINC, and SNOMED coding systems.<br>Electronic Health Records (EHRs) – Experience with Epic, Cerner, Meditech, or other EHR platforms.<br>HIPAA & Data Privacy – Familiarity with healthcare data compliance, including HIPAA, GDPR, and HITECH Act.<br>Claims & Billing Data – Experience analyzing claims from Medicare, Medicaid, and private insurers.<br>HEDIS Quality Measures <br>CMS Data <br>Data Management & ETL Experience<br>ETL (Extract, Transform, Load) Processes – Experience working with data warehouses, SQL ETL pipelines<br>Big Data & Cloud Platforms – Familiarity with AWS (Redshift), Google Cloud, and/or Azure a plus.<br>Project Management – Familiarity with Agile, Scrum, or Lean methodologies in data projects.<br>Stakeholder Communication – Ability to translate complex data findings into actionable insights for non-technical teams (clinicians, executives, analysts).<br> <br><br>Preferences – Not Required <br><br>10+ years of experience performing analysis on healthcare data<br>Experience with Snowflake <br>Prior Experience Working with Offshore Teams a Plus<br>Team leadership experience
We are looking for a skilled Data Analyst with expertise in marketing analytics and reporting to join our team on a long-term contract basis. This role will focus on transforming data from various digital marketing channels into actionable insights that drive strategic decision-making. Based in Somerville, New Jersey, you will collaborate with cross-functional teams to optimize campaign performance and user experience through data-driven solutions.<br><br>Responsibilities:<br>• Design and manage dashboards and reports using tools such as Power BI, Tableau, or Looker to monitor key performance indicators across marketing initiatives.<br>• Utilize SQL and Python to extract, clean, and analyze large datasets from multiple sources, including websites and advertising platforms.<br>• Conduct audits of website and organic search health using tools like Screaming Frog, identifying opportunities to enhance visibility and traffic.<br>• Analyze user behavior through platforms like HotJar to uncover UX insights and recommend actionable improvements.<br>• Collaborate with teams to define measurement requirements and implement effective tracking solutions.<br>• Develop and maintain scalable LookML models and explore layers in Looker to support self-service reporting.<br>• Provide regular summaries of campaign performance, including forecasting models and data analyses, to stakeholders.<br>• Automate routine reporting processes to ensure efficient and consistent data delivery.<br>• Present complex data findings in visually compelling formats, translating them into practical recommendations for marketing strategies.
<p>Job Overview:</p><p>The Data Architect will lead the design and implementation of enterprise data systems, ensuring alignment with business needs, data governance, and security standards. This role involves working closely with IT teams, business analysts, and data consumers to deliver scalable and secure data solutions.</p><p>Daily Responsibilities:</p><ul><li>Translate high-level business requirements into data models, metadata, test data, and data quality standards</li><li>Manage senior business stakeholders to ensure project alignment with strategic roadmaps</li><li>Lead peer reviews and quality assurance of architectural artifacts</li><li>Define and manage standards, guidelines, and processes for data quality</li><li>Collaborate with IT and analytics teams to develop data solutions</li><li>Evaluate and recommend emerging technologies for data management and analytics</li><li>Establish governance frameworks for internal teams and vendor partners</li></ul><p>rProject Focus:</p><ul><li>Apply data protection rules across storage, compute, and consumption layers</li><li>Design data protection solutions at database, table, column, and API levels</li><li>Architect data systems including databases, warehouses, and lakes</li><li>Select and implement database management systems with optimized schemas and security</li><li>Enhance data pipeline performance and ensure data governance</li></ul>
We are looking for a skilled Internal Audit Data Analyst to join our team in Johns Creek, Georgia. This Contract-to-permanent position offers an exciting opportunity to leverage advanced data analytics and visualization techniques to enhance internal audit processes and enterprise risk management. The ideal candidate will play a pivotal role in identifying risks, improving audit methodologies, and providing actionable insights to support organizational decision-making.<br><br>Responsibilities:<br>• Collaborate with audit teams to identify opportunities where data analytics can enhance financial, operational, and compliance audits.<br>• Plan, execute, and report corporate audits while adhering to Global Internal Audit Standards.<br>• Design and implement advanced data analytics procedures to detect anomalies and assess risks or opportunities.<br>• Extract, clean, transform, and analyze data from multiple systems using tools such as Alteryx, Power BI, and Excel Power Query.<br>• Utilize programming skills in Python and SQL to develop automated workflows and continuous monitoring processes.<br>• Create dashboards and visualizations to effectively communicate audit findings and insights to stakeholders.<br>• Assist in risk assessments and provide actionable recommendations based on trends, risks, and analytics.<br>• Identify patterns indicating control weaknesses, inefficiencies, or potential fraud and propose enhancements to audit methodologies.<br>• Integrate audit principles and enterprise risk management frameworks into analytics design and execution.
<p>We are looking for a talented Data Reporting Analyst to support our Personal Loans Marketing team in Chicagoland. In this role, you will leverage data to provide actionable insights, optimize marketing campaigns, and drive business performance. This is a long-term contract position and offers an exciting opportunity to collaborate with cross-functional teams to develop innovative reporting solutions.</p><p><br></p><p>Responsibilities:</p><p>• Design and maintain efficient data workflows to support the creation of marketing dashboards and performance reports.</p><p>• Document and standardize data definitions, sources, and logic to ensure consistent usage and governance.</p><p>• Optimize database queries and backend processes to improve scalability and processing speed.</p><p>• Conduct quality assurance checks to ensure the accuracy and integrity of marketing datasets and reports.</p><p>• Automate recurring reporting processes to track campaign performance metrics such as conversions and cost-per-acquisition.</p><p>• Collaborate with engineering and data science teams to streamline data integration and ensure high-quality data sources.</p><p>• Develop dynamic dashboards using tools like Tableau, enabling business stakeholders to monitor trends and key performance indicators.</p><p>• Provide ad hoc data analyses and reports to support decision-making for marketing campaigns.</p><p>• Partner with marketing teams to identify data-driven opportunities for improving campaign strategies.</p>
<p>We are looking for a Data Analyst to join our team in Jacksonville, Florida, on a Contract to permanent basis. In this role, you will play a pivotal part in supporting AI-driven systems, enhancing predictive models, and collaborating with partners to derive actionable insights from complex datasets. This position is ideal for someone with a strong foundation in data analysis, statistical modeling, and an interest in AI training workflows.</p><p><br></p><p>Responsibilities:</p><p>• Manage and optimize AI systems designed to extract structured data.</p><p>• Collaborate on prompt engineering processes to refine and validate AI system performance.</p><p>• Maintain and enhance AI systems that integrate IoT device data to deliver actionable insights.</p><p>• Expand and update Python-based predictive models and statistical analyses as new data becomes available.</p><p>• Partner with clinical teams to design and implement analyses aligned with evolving business needs.</p><p>• Work closely with external AI partners to ensure data strategies align with operational objectives.</p><p>• Translate clinical requirements into data queries and model enhancements.</p><p>• Document processes, findings, and improvements to ensure clear communication with stakeholders.</p>
<p>Job Title: Data Scientist (with Data Engineering Expertise)</p><p>Location: Atlanta GA</p><p>Hybrid 3 days onsite</p><p><br></p><p>Overview</p><p>We are looking for a highly motivated and skilled Data Scientist who also brings strong Data Engineering capabilities. This is a hybrid role with a primary focus on data science—developing advanced analytics and predictive solutions—while also requiring flexibility to support data engineering efforts and responsibilities when needed (you will be deeply analytical, technically proficient, and capable of leveraging tools like Databricks, SQL, ETL pipelines, PySpark, and Python as well).</p><p>In this position, you’ll have end-to-end ownership of identifying and understanding data-driven business opportunities and translating them into actionable, predictive, and scalable analytics solutions. You’ll take ownership of converting data into actionable insights that drive business value and support our customers' strategic goals.</p><p>You'll build data-driven applications that solve real-world business challenges and partner with both internal teams and customers to deliver high-impact outcomes. This is a strategic and hands-on role where curiosity, technical expertise, and a passion for creating value through data are essential. If you're passionate about solving complex business problems with data and enjoy working in a fast-paced, customer-focused environment, this role is for you.</p><p><br></p><p>Key Responsibilities</p><p>Data Science</p><ul><li>Partner with customers and internal stakeholders to identify business opportunities and deliver predictive, actionable solutions</li><li>Develop data-driven applications that solve real-world customer problems</li><li>Stay current with trends in machine learning and AI, and apply best-in-class tools, libraries, and technologies</li><li>Serve as a subject matter expert on generating insights from data and developing machine learning models</li><li>Design and build intuitive, interactive data visualizations to communicate findings</li><li>Lead pilot projects with customers, measure business value and impact</li><li>Transition successful pilots into production-ready commercial applications</li><li>Collaborate with platform architects to ensure designs align with security and architecture best practices</li><li>Review code and solutions before deployment to ensure quality and performance</li><li>Work with and oversee contractors to deliver high-quality outcomes</li></ul><p>Data Engineering</p><ul><li>Design and develop high-performance data ingestion pipelines using Azure Databricks and Azure Data Factory</li><li>Work with event-based streaming technologies to process real-time data</li><li>Architect and implement scalable Data Lakehouse solutions</li><li>Support development and delivery of related components such as APIs and search functionality</li><li>Evaluate and select tools based on technical performance and customer requirements</li><li>Operate within Agile and DevOps frameworks to deliver iteratively from proof-of-concept to production</li><li>Ensure all engineering solutions meet security and enterprise architecture standards</li><li>Perform thorough code reviews to maintain high-quality standards</li></ul>
<p>🌟 DATA ENGINEER – Build Smarter, Drive Impact 🌟 INTERVIEWS THIS WEEK!</p><p>📍 Location: Des Moines, IA (On-site Hybrid with flexibility) CANNOT BE 100% REMOTE .</p><p>🎯 Type: Full-Time Direct hire with BENEFITS! No SPONSORSHIP REQUIRED !!! </p><p>*** For immediate & confidential consideration, please send a message to CARRIE DANGER, SVP PERMANENT PLACEMENT on LinkedIn or send an email to me with your resume - My email address is on my LinkedIn page. ***</p><p>🌍 Ready to Engineer Data-Driven Success? Transform raw data into actionable insights that fuel business decisions?</p><p><strong>Key Highlights of this Direct Hire 🚀</strong></p><p>✔ Hands-On Engineering: MUST BE ABLE TO BUILD & maintain dashboards, data integrations, and pipelines—not just analyze data but truly engineer solutions AND build data visualizations.</p><p>✔ NOT looking for a Data Analyst. This is a BI Business Intelligence Data Engineer! </p><p>✔ Tooling Expertise: Work with advanced tools like Power BI, Tableau, Domo and create dashboards and integrations from scratch.</p><p>✔ Collaborate w/ data and analytics teams while working behind the scenes to streamline workflows& automate</p><p>________________________________________</p><p>What You'll Do 🤝</p><p>🔹 Data Integrations: Connect systems, design workflows, and maintain data pipelines for seamless delivery of insights.</p><p>🔹 Visualization: Build dashboards that simplify complex data using tools like Domo, Power BI, or Tableau.</p><p>🔹 Analytics Engine: MUST HAVE : Code solutions with SQL, Python, or similar tools to glean meaningful insights from structured data and creating data pipelines</p><p>✅ <strong>MUST HAVES:</strong></p><p>🎓 Education: Bachelor’s degree in Business Analytics, Computer Science, Data Science, Statistics</p><p><strong>🛠️ TECHNICAL SKILLS </strong></p><p>• 2+ years of hands-on professional experience in data engineering or analytics roles.</p><p>• BUILDING dashboards in BI tools like Tableau, Power BI, or DOMO & the creation of custom integrations.</p><p>• Proficiency in SQL or Python for robust data analysis and structuring.</p><p>• Ability to develop and maintain visual dashboards with UX</p><p>• BONUS: Experience with third-party platform integration like Salesforce</p><p>This is a Direct hire permanent position up to $90K plus bonus. For immediate and confidential consideration, please contact me directly, Carrie Danger, SVP, Permanent Placement Team, Iowa Region at Office: 515-259-6087 or Cell: 515-991-0863, Email resume confidentially to Carrie Danger * My email address is on my LinkedIN page. Please find my email address / contact Information on my LinkedIN profile and email me your resume confidentially. OR you can ONE CLICK APPLY AT Robert Half website, and Specifically Apply to this posting.</p>
<p>We are seeking an Enterprise Architect – AI/Data to design and implement enterprise-level AI and data architectures that align with business objectives and enhance operational capabilities. This role requires deep expertise in AI/ML technologies, big data platforms, and enterprise architecture frameworks.</p><p>Key Responsibilities:</p><ul><li>Design and develop end-to-end AI and data architectures ensuring scalability, security, and performance</li><li>Create architectural blueprints and roadmaps for AI and data integration across the organization</li><li>Lead the development of data platforms and AI-driven systems for advanced analytics and automation</li><li>Define AI strategy and oversee its implementation across business units</li><li>Deploy and integrate AI models and tools into production systems</li><li>Design scalable cloud and on-premises data architectures using Azure, AWS, or Google Cloud</li><li>Work with big data technologies (Hadoop, Spark) and data lake architectures</li><li>Manage integration of AI models into big data platforms for structured and unstructured data</li><li>Collaborate with business and technical teams to translate needs into AI/data solutions</li><li>Stay current with AI, ML, and data technology advancements and best practices</li><li>Assess and mitigate risks related to AI and data architectures, ensuring compliance and security</li></ul><p><br></p>
<p>We are looking for an experienced Information and Data Architect to play a key role in designing and managing robust data systems that support organizational objectives. This long-term contract position is based in Chicago, IL and offers an exciting opportunity to contribute to data strategy, architecture, and operational excellence. The ideal candidate will bring expertise in data management, integration, and governance, ensuring the security and reliability of enterprise data assets.</p><p><br></p><p>Responsibilities:</p><p>• Design and implement scalable data storage solutions that align with business needs.</p><p>• Develop and maintain efficient ETL (Extract, Transform, Load) processes to ensure smooth data flow across systems.</p><p>• Create detailed data models and database schemas to support operational and analytical requirements.</p><p>• Manage the daily operations of the data warehouse, ensuring data accuracy and consistency.</p><p>• Implement and enforce data governance policies to maintain high standards of data integrity.</p><p>• Optimize database performance by monitoring and addressing potential issues.</p><p>• Oversee the integration of data from multiple sources, ensuring seamless synchronization and accessibility.</p><p>• Collaborate with IT security teams to implement measures that protect sensitive data and ensure compliance with regulations.</p><p>• Work closely with stakeholders, including analysts and business teams, to align data architecture with organizational goals.</p><p>• Manage vendor relationships and evaluate technology solutions to enhance data infrastructure.</p>
<p><strong>About the Role:</strong></p><p> We are looking for a <strong>Senior Data Analyst</strong> with strong <strong>Power BI expertise</strong> to join our team. In this role, you will be responsible for transforming raw data into actionable insights, designing and maintaining BI dashboards, and partnering with stakeholders across the business to support data-driven decision-making. The ideal candidate is a highly analytical problem-solver with advanced data visualization skills and experience working with large, complex datasets.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Develop, design, and maintain <strong>Power BI dashboards and reports</strong> to support business operations and strategy.</li><li>Work with stakeholders to gather requirements, define KPIs, and deliver data solutions aligned with business needs.</li><li>Perform advanced data analysis using SQL, Excel, and other tools to uncover trends and opportunities.</li><li>Optimize existing Power BI reports for performance and scalability.</li><li>Ensure accuracy, integrity, and security of data through quality checks and validation processes.</li><li>Collaborate with IT, data engineers, and business leaders to enhance reporting infrastructure and data pipelines.</li><li>Translate complex datasets into clear, visual insights that drive business decision-making.</li><li>Mentor junior analysts and provide guidance on best practices in BI reporting and data analysis.</li></ul><p><br></p>
<p>We are looking for a skilled Data Analyst to join our client's team in Maine. In this role, you will transform complex datasets into meaningful insights and visualizations, enabling informed decision-making across the organization. The ideal candidate combines technical experience with a strong understanding of data security principles to ensure the integrity and privacy of organizational data.</p><p><br></p><p>Responsibilities:</p><ul><li>Design, develop, and maintain interactive dashboards and reports using Power BI or Tableau.</li><li>Write complex SQL queries to extract, manipulate, and analyze data from various databases.</li><li>Perform data cleaning, transformation, and analysis using Excel.</li><li>Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.</li><li>Monitor and ensure the security and privacy of data, adhering to internal and external compliance standards.</li><li>Identify trends, patterns, and anomalies in data to support strategic initiatives.</li><li>Document processes, methodologies, and findings clearly and concisely.</li><li>Support ad hoc reporting and analysis requests from stakeholders.</li></ul>
<p>We are looking for an experienced Senior Data Engineer to join our team in Oxford, Massachusetts. In this role, you will design and maintain data platforms, leveraging cutting-edge technologies to optimize processes and drive analytical insights. This position requires a strong background in Python development, cloud technologies, and big data tools. This role is hybrid, onsite 3 days a week. Candidates must have GC or be USC.</p><p><br></p><p>Responsibilities:</p><p>• Develop, implement, and maintain scalable data platforms to support business needs.</p><p>• Utilize Python and PySpark to design and optimize data workflows.</p><p>• Collaborate with cross-functional teams to integrate data solutions with existing systems.</p><p>• Leverage Snowflake and other cloud technologies to manage and store large datasets.</p><p>• Implement and refine algorithms for data processing and analytics.</p><p>• Work with Apache Spark and Hadoop to build robust data pipelines.</p><p>• Create APIs to enhance data accessibility and integration.</p><p>• Monitor and troubleshoot data platforms to ensure optimal performance.</p><p>• Stay updated on emerging trends in big data and cloud technologies to continuously improve solutions.</p><p>• Participate in technical discussions and provide expertise during team reviews.</p>
<p>We are seeking a Data Scientist / Analytics Specialist to leverage advanced analytics and machine learning techniques to extract value from business data and drive strategic decision-making. The ideal candidate will have strong SQL programming experience, expertise in large database systems, and familiarity with modern data science tools and cloud platforms.</p><p>Key Responsibilities:</p><ul><li>Apply advanced analytics methods to extract insights from structured and unstructured data</li><li>Perform large-scale experimentation and build predictive models to answer business questions</li><li>Conduct research on cutting-edge machine learning and AI techniques</li><li>Define requirements for training and evolving deep learning models and algorithms</li><li>Influence product teams through data-driven recommendations and presentations</li><li>Develop and maintain scalable data pipelines and analytics workflows</li><li>Perform other duties as assigned</li></ul><p><br></p>
We are looking for a skilled AI Engineer to join our dynamic team in New York, New York. This role requires expertise in advanced data platforms and analytics tools, with a focus on leveraging machine learning and data science techniques to drive impactful solutions. If you're passionate about data innovation and have a strong consulting background, we encourage you to apply.<br><br>Responsibilities:<br>• Design, implement, and optimize solutions using Azure Databricks, Data Lake, Synapse, and Spark.<br>• Develop and enforce data governance strategies, including the use of Unity Catalog.<br>• Utilize Python to build, test, and deploy machine learning models and data science workflows.<br>• Collaborate with stakeholders to identify opportunities for AI-driven improvements in business processes.<br>• Maintain and enhance data pipelines to ensure scalability and reliability across projects.<br>• Provide technical leadership and mentorship to team members, ensuring best practices in data engineering and analytics.<br>• Translate complex data problems into actionable insights and solutions for clients.<br>• Stay updated on industry trends and emerging technologies to continuously improve solutions.<br>• Support clients in adopting AI and machine learning tools to address business challenges.
<ul><li>Product Development: Partner with the data science team to conceptualize, develop, and refine cutting-edge data analytics products tailored to specific engineering domains.</li><li>Sales Enablement: Collaborate with the sales team to articulate product value, address customer needs, and drive sales to advanced technical SMEs/PHDs</li><li>Customer Success: Provide comprehensive technical support, training, and onboarding to ensure customer satisfaction and product adoption.</li><li>Market Intelligence: Conduct market research, analyze competitive landscapes, and identify opportunities for product enhancement and expansion.</li><li>Product Documentation: Develop clear and concise product documentation, including user guides, process flows, and use cases.</li></ul><p><br></p>
We are looking for a skilled Business Intelligence (BI) Engineer to join our team in Jenkintown, Pennsylvania. As a key contributor, you will design, develop, and implement advanced data solutions to support business analytics and decision-making processes. This role requires a strong technical background and a collaborative mindset to drive innovation and optimize data platforms.<br><br>Responsibilities:<br>• Design and implement dimensional and semantic data models to enhance business analytics and reporting capabilities.<br>• Develop and optimize data pipelines using modern orchestration tools like Apache Airflow or Azure Data Factory.<br>• Create and manage interactive dashboards and visualizations using Power BI, ensuring accuracy and usability.<br>• Leverage Microsoft Fabric architecture to integrate centralized semantic models and external data platforms.<br>• Administer cloud-based data warehouses like Azure Synapse or Snowflake, ensuring performance and scalability.<br>• Collaborate with cross-functional teams to address data governance, quality frameworks, and compliance standards.<br>• Utilize Python and data science libraries to process, analyze, and develop machine learning workflows.<br>• Implement DataOps methodologies, including CI/CD practices and version control for data solutions.<br>• Conduct advanced statistical analysis and predictive modeling to inform business strategies.<br>• Partner with stakeholders to translate technical concepts into actionable insights for diverse audiences.
<p>We are looking for a skilled Financial/Data Analyst with expertise in real estate to join our client's team in the Horsham, Pennsylvania area. In this role, you will leverage your analytical abilities to interpret financial and operational data, create compelling visualizations, and support strategic initiatives. This position offers an opportunity to collaborate across departments and contribute to the success of a dynamic and growing organization.</p><p><br></p><p>Responsibilities:</p><p>• Analyze operational and financial data to identify trends and deliver actionable insights for decision-making.</p><p>• Develop Excel-based models, PowerBI dashboards, and PowerPoint presentations to effectively communicate key findings.</p><p>• Collaborate with Operations, Technology, and Finance teams to enhance data platforms and reporting systems.</p><p>• Prepare detailed and visually engaging presentations to support senior leadership’s strategic planning efforts.</p><p>• Act as a liaison between departments to ensure alignment on goals and streamline processes.</p><p>• Conduct ad hoc reporting and data synthesis to address specific business questions.</p><p>• Provide thematic summaries and clear interpretations of data for management.</p><p>• Contribute to the continuous improvement of financial and operational workflows.</p><p>• Identify opportunities for efficiency and innovation in data analysis and visualization techniques.</p>
We are looking for a skilled Logistics Data Analyst to join our team in Hillside, New Jersey. In this Contract-to-permanent position, you will play a key role in analyzing logistics data, creating actionable insights, and driving process improvements to optimize operations. Ideal candidates are analytical thinkers with expertise in data management tools and a passion for enhancing logistics efficiency.<br><br>Responsibilities:<br>• Collect, clean, and analyze logistics data from multiple sources to uncover trends and areas for improvement.<br>• Develop and maintain dashboards, reports, and presentations to effectively communicate findings to stakeholders.<br>• Implement strategies to enhance logistics processes and efficiency based on data-driven insights.<br>• Define and monitor key performance indicators (KPIs) to measure operational success.<br>• Collaborate with teams across logistics, finance, and IT to support informed decision-making.<br>• Utilize forecasting techniques to predict logistics trends and support strategic planning, including container budgeting based on units.<br>• Manage and optimize databases to ensure data integrity and accessibility.<br>• Perform ad-hoc analyses to address specific projects and initiatives.<br>• Consolidate historical cost and rate information into an organized database for reference.
<p>We are on the lookout for a Data Engineer in Basking Ridge, New Jersey. (1-2 days a week on-site*) In this role, you will be required to develop and maintain business intelligence and analytics solutions, integrating complex data sources for decision support systems. You will also be expected to have a hands-on approach towards application development, particularly with the Microsoft Azure suite.</p><p><br></p><p>Responsibilities:</p><p><br></p><p>• Develop and maintain advanced analytics solutions using tools such as Apache Kafka, Apache Pig, Apache Spark, and AWS Technologies.</p><p>• Work extensively with Microsoft Azure suite for application development.</p><p>• Implement algorithms and develop APIs.</p><p>• Handle integration of complex data sources for decision support systems in the enterprise data warehouse.</p><p>• Utilize Cloud Technologies and Data Visualization tools to enhance business intelligence.</p><p>• Work with various types of data including Clinical Trials Data, Genomics and Bio Marker Data, Real World Data, and Discovery Data.</p><p>• Maintain familiarity with key industry best practices in a regulated “GXP” environment.</p><p>• Work with commercial pharmaceutical/business information, Supply Chain, Finance, and HR data.</p><p>• Leverage Apache Hadoop for handling large datasets.</p>
<p>We are looking for a skilled Data Analyst to join our team in Dallas, Texas. In this role, you will be responsible for transforming complex datasets into actionable insights, enabling data-driven decisions across various business units. The ideal candidate will have a strong analytical mindset and a passion for improving data processes and methodologies.</p><p><br></p><p>Responsibilities:</p><p>• Analyze large datasets to uncover trends, patterns, and valuable insights that inform business strategies.</p><p>• Develop and maintain dashboards, reports, and visualizations to support decision-making processes.</p><p>• Enhance data processes and methodologies to improve efficiency and ensure accuracy.</p><p>• Conduct ad-hoc analyses to support diverse business initiatives and projects.</p><p>• Document data processes and methodologies to facilitate knowledge sharing and continuity.</p><p>• Perform advanced statistical analyses and predictive modeling to identify opportunities and trends.</p><p>• Create tools and frameworks to improve data accessibility and usability for stakeholders.</p><p>• Integrate data from internal and external sources to ensure seamless data flow and consistency.</p><p>• Collaborate with teams such as operations, finance, and accounting to understand data needs and deliver tailored solutions.</p><p>• Implement data quality measures, including validation and cleansing procedures, to maintain integrity.</p>
