<p>We are looking for an experienced Informatica Cloud Data Governance Catalog Specialist to join our team in Southern California. This position involves working on-site four days per week and offers a long-term contract opportunity. The ideal candidate will have a strong background in data governance, analytics, and business intelligence tools, coupled with a proactive approach to problem-solving and collaboration.</p><p><br></p><p>Responsibilities:</p><p>• Create catalog quality reports to monitor and enhance data governance metrics across domains and sub-domains.</p><p>• Develop and showcase data governance dashboards tailored to different user roles, including Data Owners, Stewards, Engineers, and Privacy Officers.</p><p>• Collaborate with business and IT teams, including data stewards, catalog architects, and platform owners, to implement governance solutions.</p><p>• Execute profiling, sampling, and scanner setups using Informatica tools to ensure data quality.</p><p>• Apply expertise in metadata management, data modeling, and large-scale data analysis to support governance initiatives.</p><p>• Design and implement both traditional relational and modern big-data architectures based on organizational requirements.</p><p>• Utilize business intelligence tools such as Power BI and Tableau to create actionable insights and reports.</p><p>• Define compliance procedures and produce audit reports to meet regulatory requirements.</p><p>• Establish and support governance councils and operational frameworks using data catalog tools.</p><p>• Facilitate metadata ingestion and ensure adherence to data security and quality standards.</p>
Key Responsibilities:<br><br>· Design, develop, and maintain scalable backend systems to support data warehousing and data lake initiatives.<br><br>· Build and optimize ETL/ELT processes to extract, transform, and load data from various sources into centralized data repositories.<br><br>· Develop and implement integration solutions for seamless data exchange between systems, applications, and platforms.<br><br>· Collaborate with data architects, analysts, and other stakeholders to define and implement data models, schemas, and storage solutions.<br><br>· Ensure data quality, consistency, and security by implementing best practices and monitoring frameworks.<br><br>· Monitor and troubleshoot data pipelines and systems to ensure high availability and performance.<br><br>· Stay up-to-date with emerging technologies and trends in data engineering and integration to recommend improvements and innovations.<br><br>· Document technical designs, processes, and standards for the team and stakeholders.<br><br><br><br>Qualifications:<br><br>· Bachelor’s degree in Computer Science, Engineering, or a related field; equivalent experience considered.<br><br>· Proven experience as a Data Engineer with 5 or more years of experience; or in a similar backend development role.<br><br>· Strong proficiency in programming languages such as Python, Java, or Scala.<br><br>· Hands-on experience with ETL/ELT tools and frameworks (e.g., Apache Airflow, Talend, Informatica, etc.).<br><br>· Extensive knowledge of relational and non-relational databases (e.g., SQL, NoSQL, PostgreSQL, MongoDB).<br><br>· Expertise in building and managing enterprise data warehouses (e.g., Snowflake, Amazon Redshift, Google BigQuery) and data lakes (e.g., AWS S3, Azure Data Lake).<br><br>· Familiarity with cloud platforms (AWS, Azure, Google Cloud) and their data services.<br><br>· Experience with API integrations and data exchange protocols (e.g., REST, SOAP, JSON, XML).<br><br>· Solid understanding of data governance, security, and compliance standards.<br><br>· Strong analytical and problem-solving skills with attention to detail.<br><br>· Excellent communication and collaboration abilities.<br><br><br><br>Preferred Qualifications:<br><br>· Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, etc.)<br><br>· Experience with big data technologies (e.g., Apache Hadoop, Spark, Kafka).<br><br>· Knowledge of data visualization tools (e.g., Tableau, Power BI) for supporting downstream analytics.<br><br>· Familiarity with DevOps practices and tools (e.g., Docker, Kubernetes, Jenkins).
<p>Our Enterprise Data and Analytics team is growing. We’re looking for a Lead Data Scientist to assist with building and developing our Data Science team and lead us into the next generation of banking. We are reimagining how data is used across the bank to better serve our customers support our communities and make our colleagues lives better. Our goal is to be the best performing Regional Bank in America and we need data and analytics to meet that goal.</p><p>As we advance our data science and analytics capabilities we want a Lead Data Scientist to develop experts in modeling complex business problems and discovering business insights using statistical algorithmic mining and visualization techniques. We are looking for a leader who has a passion for developing others driving change and continuously improving and evolving the application of technologies to meet todays and tomorrow’s challenges.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Prioritizes analytical projects based on business value and technological readiness</p><p>· Performs large-scale experimentation and build data-driven models to answer business questions</p><p>· Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence</p><p>· Evangelizes best practices to analytics and products teams</p><p>· Acts as the go-to resource for machine learning across a range of business needs</p><p>· Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring</p><p>· Provides leadership, coaching, and mentoring to team members and develops the team to work with all areas of the organization</p><p>· Works with stakeholders to ensure that business needs are clearly understood and that services meet those needs</p><p>· Anticipates and analyzes trends in technology while assessing the emerging technologies impact(s)</p>
<p>We are looking for a skilled and innovative Data Engineer to join our team in Grove City, Ohio. In this role, you will be responsible for designing and implementing advanced data pipelines, ensuring the seamless integration and accessibility of data across various systems. As a key player in our analytics and data infrastructure efforts, you will contribute to building a robust and scalable data ecosystem to support AI and machine learning initiatives.</p><p><br></p><p>Responsibilities:</p><p>• Design and develop scalable data pipelines to ingest, process, and transform data from multiple sources.</p><p>• Optimize data models to support analytics, forecasting, and AI/ML applications.</p><p>• Collaborate with internal teams and external partners to enhance data engineering capabilities.</p><p>• Implement and enforce data governance, security, and quality standards across hybrid cloud environments.</p><p>• Work closely with analytics and data science teams to ensure seamless data accessibility and integration.</p><p>• Develop and maintain data products and services to enable actionable insights.</p><p>• Troubleshoot and improve the performance of data workflows and storage systems.</p><p>• Align data systems across departments to create a unified and reliable data infrastructure.</p><p>• Support innovation by leveraging big data tools and frameworks such as Databricks and Spark.</p>
<p>**** For Faster response on the position, please send a message to Jimmy Escobar on LinkedIn or send an email to Jimmy.Escobar@roberthalf(.com) with your resume. You can also call my office number at 424-270-9193****</p><p><br></p><p>We are looking for a skilled Data Engineer to join our team on a long-term contract basis in Los Angeles, California. In this role, you will design, build, and maintain robust data infrastructure to support business operations and analytics. This position offers an opportunity to work with cutting-edge technologies and contribute to impactful projects. This position is a hybrid that is 3 days a week on-site and 2 days remote.</p><p><br></p><p>Responsibilities:</p><p>• Develop and implement scalable data pipelines using Apache Spark, Hadoop, and other big data technologies.</p><p>• Collaborate with cross-functional teams to understand and translate business requirements into technical solutions.</p><p>• Create and maintain ETL processes to ensure data integrity and accessibility.</p><p>• Manage and monitor large-scale data processing systems, ensuring seamless operation.</p><p>• Design and deploy solutions for real-time data streaming using Apache Kafka.</p><p>• Perform advanced data analytics to support business decision-making.</p><p>• Troubleshoot and resolve issues related to data infrastructure and applications.</p><p><br></p>
We are looking for a skilled Data Scientist to join our team on a contract with the potential for a permanent position in Edison, New Jersey. This hybrid role requires working on-site two days a week, collaborating with stakeholders to develop and implement AI-driven solutions. Ideal candidates will have expertise in data strategy, AI technologies, and tools such as Databricks and Informatica.<br><br>Responsibilities:<br>• Develop and implement AI-driven use cases that align with organizational goals and objectives.<br>• Design and optimize data strategies using platforms like Databricks and Informatica.<br>• Collaborate with cross-functional teams, including data engineers and business stakeholders, to create scalable AI/ML solutions.<br>• Evaluate and enhance data pipelines to ensure efficient deployment of AI models.<br>• Stay informed on the latest AI advancements and recommend innovative approaches to improve business operations.<br>• Provide guidance on data governance, ensuring adherence to best practices for data quality and security.<br>• Analyze business challenges and translate them into actionable AI solutions that drive results.<br>• Support the integration of advanced analytics frameworks into existing systems and processes.
We are looking for a skilled Data Reporting Analyst to join our team in Cincinnati, Ohio. This long-term contract position offers an exciting opportunity to contribute to data-driven decision-making processes within the Personal Loans Marketing team. The ideal candidate will leverage their expertise in data analysis, reporting, and visualization to provide actionable insights and optimize marketing performance.<br><br>Responsibilities:<br>• Develop and maintain efficient data workflows to support marketing dashboards and reporting systems.<br>• Document data sources, definitions, and reporting logic to ensure consistency and governance.<br>• Optimize database queries and backend data processes to enhance scalability and performance.<br>• Conduct quality assurance checks to maintain data integrity and accuracy across reports.<br>• Automate recurring reports to monitor campaign metrics such as performance, conversions, and cost-per-acquisition.<br>• Collaborate with engineering and data science teams to streamline data pipelines and improve data quality.<br>• Design and implement interactive dashboards using tools like Tableau to visualize key performance indicators.<br>• Provide ad hoc data analysis and reporting to support marketing campaign decision-making.<br>• Ensure data models and workflows are scalable and align with business needs.
<p><em>The salary range for this position is $100,000-$121,000 plus bonus, and it comes with benefits, including medical, vision, dental, life, and disability insurance. To apply to this remote role please send your resume to [email protected].</em></p><p><br></p><p>Fast-Track Career Advancement Opportunity (This position is expected to advance quickly within the company over the next few months.)</p><p><br></p><p><strong><u>ESSENTIAL FUNCTIONS & RESPONSIBILITIES:</u></strong></p><p><strong> </strong></p><p>· Lead the Internal Audit data analytics function, serving as the primary point of expertise for data analytics, automation, AI-enabled solutions, and continuous auditing within the department.</p><p>· Apply a data-driven mindset to build, enhance, and execute Internal Audit data solutions that deliver advanced audit capabilities, including automation, continuous auditing, and data analytics.</p><p>· Lead and oversee data analytics initiatives supporting audit, SOX, and risk projects, leveraging advanced analytical techniques to enhance audit procedures, expand coverage, and identify risks.</p><p>· Design and execute data-driven testing of key controls across in-scope processes, systems, and programs, elevating levels of assurance, consistency, and audit efficiency.</p><p>· Develop and implement AI-enabled and advanced analytics solutions using available tools to support audit teams and audit operations.</p><p>· Drive automation across audit, SOX, and risk activities, unlocking efficiencies and improving the quality and scalability of testing and analysis.</p><p>· Develop and enhance continuous auditing capabilities, including dashboards and monitoring solutions that provide timely control and business insights to support management action.</p><p>· Serve as a data champion within Internal Audit by elevating awareness of appropriate, effective, and responsible uses of data in assurance and advisory work.</p><p>· Collaborate closely with audit teams to integrate analytics into audit planning, execution, and reporting activities.</p><p>· Build and maintain strong relationships with key data leaders, system owners, and data custodians to enable timely and reliable access to data required for audit and risk initiatives.</p><p>· Leverage enterprise systems such as Workday, JD Edwards (JDE), Salesforce, and other core platforms as key data sources to support audit analytics, continuous auditing, and data-driven control testing.</p><p>· Use existing data sources and structures to provide more quantitative, evidence-based assessments of key risks, controls, and audit conclusions.</p><p><br></p>
<p><strong>Senior Financial Analyst, Norwalk CT </strong></p><p><br></p><p>Transform large manual data sets into automated reporting</p><p>Leverage financial statements and business flow knowledge to contextualize analysis</p><p>Streamline reporting and support company wide decision making</p><p><br></p><p><strong>Why You’ll Love It Here</strong></p><ul><li>Tenured, supportive team</li><li><strong>Great Benefits:</strong> Medical, Dental, Vision, and 401(k) with company match</li><li>Hybrid schedule </li></ul>
<p>We are in the search for an Investment Trading Analyst to join our team in Minneapolis, Minnesota. The role primarily involves supporting the acquisition of various forms of investments, assisting in trading desk operations, and interacting with multiple business units within the financial services industry.</p><p><br></p><p>Responsibilities:</p><p>• Accurately maintain data used in investment trading decisions, ensuring its availability from the initiation to the settlement of trades.</p><p>• Conduct portfolio analysis using data analysis tools, Microsoft Excel, MySQL, and SQL.</p><p>• Engage directly with trade partners to resolve data-related inquiries.</p><p>• Oversee portfolio reporting infrastructure and ensure its accuracy and efficiency.</p><p>• Establish yourself as the go-to expert for all reporting and data analysis related to portfolio acquisitions.</p><p>• Assist in research projects as per the requests of portfolio managers.</p><p>• Monitor the outcomes of investment strategies and make necessary adjustments.</p><p>• Collaborate with technology/data teams to ensure the accuracy of information and analysis.</p><p>• Regularly analyze portfolio return/risk.</p><p>• Handle all processes related to trade commencement to settlement.</p><p><br></p><p>Minimum Qualifications:</p><ul><li>Bachelor's degree in finance, economics or mathematics (a minor in data science or computer science ideal)</li><li>1+ Years relevant work experience in Financial Services.</li><li>Strong multitasking and prioritizing skills</li><li>Excellent communicative abilities</li><li>Comfortable working in a fast-paced environment</li><li>High analytical skills</li><li>Intermediate to advance Microsoft Excel skills and understanding of Data Base management tools</li><li>A proactive attitude to developing new ideas and refining existing processes</li></ul><p>Preferred Qualifications:</p><ul><li>Experience in credit and real estate</li><li>Familiarity with business intelligence tools such as Tableau and CAS</li><li>Progress towards investment-related certifications like CFA</li></ul><p>Opportunity awaits a skilled professional who can bring their expertise to our dynamic trading environment. If you feel your profile is a good match, we'd love to hear from you.</p><p>To apply for this opportunity, please message Douglas Rickart on LinkedIn, Call Doug at 612-249-0330 or submit your resume/application through our career site. </p>
<p>We are looking for a skilled Data Analyst to join our team on a long-term contract basis in Southern California. In this role, you will take charge of analyzing complex datasets to derive actionable insights and support critical business decisions within the automotive industry. You will collaborate across teams to ensure data accuracy and streamline workflows while leveraging your expertise in advanced analytics and cloud-based platforms.</p><p><strong>What will this person be working on</strong></p><p>As a Data Analyst / CDP Developer, the candidate will support the customer data platform, improve data quality, implement scalable data solutions, and address end‑to‑end data challenges. This role requires advanced SQL development, CDP integration, pipeline operations, and troubleshooting across large‑scale datasets. The ideal candidate is highly analytical, detail‑oriented, and thrives in a fast‑paced, cross‑functional environment</p><p><strong>Responsibilities:</strong></p><p>• Analyze large-scale datasets to uncover trends, validate data quality, and provide insights that drive business strategies.</p><p>• Develop and optimize advanced queries using tools like Presto, Hive, and NoSQL to support data operations.</p><p>• Utilize Python for data processing, automation, and workflow development to enhance system functionality.</p><p>• Apply cloud data architecture principles within platforms such as AWS to improve data management.</p><p>• Conduct exploratory data analysis to identify anomalies, validate assumptions, and meet stakeholder needs.</p><p>• Document data processes, workflows, and business rules in platforms such as Confluence to ensure clarity and consistency.</p><p>• Collaborate with cross-functional teams, including engineering, marketing, and subject matter experts, to define and refine data requirements.</p><p>• Operate workflow orchestration tools like Digdag and TD Workflows to manage data pipelines and scheduled tasks.</p><p>• Implement and monitor data quality frameworks to ensure reliable data validation and system observability.</p><p>• Adhere to compliance and privacy standards while maintaining best practices for version control and CI/CD processes.</p>
We are looking for an experienced Lead Data Engineer to oversee the design, implementation, and management of advanced data infrastructure in Houston, Texas. This role requires expertise in architecting scalable solutions, optimizing data pipelines, and ensuring data quality to support analytics, machine learning, and real-time processing. The ideal candidate will have a deep understanding of Lakehouse architecture and Medallion design principles to deliver robust and governed data solutions.<br><br>Responsibilities:<br>• Develop and implement scalable data pipelines to ingest, process, and store large datasets using tools such as Apache Spark, Hadoop, and Kafka.<br>• Utilize cloud platforms like AWS or Azure to manage data storage and processing, leveraging services such as S3, Lambda, and Azure Data Lake.<br>• Design and operationalize data architecture following Medallion patterns to ensure data usability and quality across Bronze, Silver, and Gold layers.<br>• Build and optimize data models and storage solutions, including Databricks Lakehouses, to support analytical and operational needs.<br>• Automate data workflows using tools like Apache Airflow and Fivetran to streamline integration and improve efficiency.<br>• Lead initiatives to establish best practices in data management, facilitating knowledge sharing and collaboration across technical and business teams.<br>• Collaborate with data scientists to provide infrastructure and tools for complex analytical models, using programming languages like Python or R.<br>• Implement and enforce data governance policies, including encryption, masking, and access controls, within cloud environments.<br>• Monitor and troubleshoot data pipelines for performance issues, applying tuning techniques to enhance throughput and reliability.<br>• Stay updated with emerging technologies in data engineering and advocate for improvements to the organization's data systems.
<p>Job Summary</p><p>We are seeking a motivated and analytical Data Analyst to support product quality, device performance, and customer experience improvements across a large consumer device ecosystem. In this role, you will help drive data‑informed decisions by analyzing telemetry, reliability KPIs, and customer satisfaction trends. You’ll collaborate closely with engineering, operations, and customer experience teams to ensure data accuracy, generate actionable insights, and support strategic initiatives that help enhance overall device reliability.</p><p>This role is ideal for someone who thrives in cross‑functional environments, enjoys solving complex problems, and can translate data into compelling, executive‑ready insights.</p><p><br></p><p>Key Responsibilities</p><ul><li>Analyze device performance data, reliability KPIs, telemetry metrics, and CSAT feedback to identify improvement opportunities.</li><li>Support key initiatives related to error tracking, ticket resolution trends, and release impact assessments.</li><li>Partner with stakeholders across engineering, operations, and customer experience to align priorities and ensure timely delivery of insights.</li><li>Create compelling presentations and executive‑level decks to communicate data findings and recommendations.</li><li>Participate in working groups tackling high‑impact reliability issues, contributing to root cause analysis and solution tracking.</li><li>Assist in expanding global data capabilities through improved data access, partnerships, and data enablement initiatives.</li></ul>
<p>We’re seeking a Senior AI/ML Engineer to build and scale real-time data pipelines, drive platform reliability, and lead core AI/ML engineering initiatives. You’ll work across teams to deliver high‑performance, secure, and cost‑efficient data and machine learning systems.</p><p><br></p><p>Responsibilities:</p><ul><li>Architect and maintain scalable data pipelines (GCP, Kafka, Flink).</li><li>Own reliability, observability, and performance of the data/ML platform.</li><li>Optimize infrastructure performance and cloud costs.</li><li>Standardize data modeling and testing (dbt or similar).</li><li>Implement Infrastructure as Code and automation best practices.</li><li>Ensure security, governance, and compliance across data systems.</li><li>Lead cross-functional initiatives and mentor engineering peers.</li><li>Drive continuous improvement in tools, processes, and standards.</li></ul><p><br></p><p><br></p>
We are looking for a skilled Data Engineer to support our organization's data initiatives in Savannah, Georgia. This Contract to permanent role focuses on managing, optimizing, and securing data systems to drive strategic decision-making and improve overall performance. The ideal candidate will work closely with technology teams, analytics departments, and business stakeholders to ensure seamless data integration, accuracy, and scalability.<br><br>Responsibilities:<br>• Design and implement robust data lake and warehouse architectures to support organizational needs.<br>• Develop efficient ETL pipelines to process and integrate data from multiple sources.<br>• Collaborate with analytics teams to create and refine data models for reporting and visualization.<br>• Monitor and maintain data systems to ensure quality, security, and availability.<br>• Troubleshoot data-related issues and perform in-depth analyses to identify solutions.<br>• Define and manage organizational data assets, including SaaS tools and platforms.<br>• Partner with IT and security teams to meet compliance and governance standards.<br>• Document workflows, pipelines, and architecture for knowledge sharing and long-term use.<br>• Translate business requirements into technical solutions that meet reporting and analytics needs.<br>• Provide guidance and mentorship to team members on data usage and best practices.
We are looking for a skilled Sr. Software Engineer to join our team in Peekskill, New York. In this role, you will leverage your expertise in data analysis and business intelligence tools to drive actionable insights and support organizational goals. The ideal candidate will be detail-oriented, adept at multitasking, and capable of working independently while delivering high-quality results.<br><br>Responsibilities:<br>• Analyze and interpret complex datasets from multiple sources, including claims data and electronic health records, to identify trends and actionable insights.<br>• Develop and document technical specifications, training materials, and provide ongoing system support to ensure sustainability.<br>• Apply actuarial concepts to evaluate risk contracts, focusing on areas such as cost of care, disease management, and quality measures.<br>• Transform datasets through quantitative and qualitative analysis to uncover patterns and predict outcomes that optimize health and financial performance.<br>• Communicate findings effectively across teams and stakeholders, using both verbal and visual presentations.<br>• Design and implement data-driven strategies to identify opportunities, mitigate risks, and meet client-specific needs.<br>• Collaborate with IT teams to address data quality issues and enhance the reliability of datasets.<br>• Assess contract performance against financial metrics and patient satisfaction indicators.<br>• Maintain organized workflows and ensure timely delivery of projects while paying attention to detail.
<p>Robert Half is seeking an experienced Data Architect to design and lead scalable, secure, and high-performing enterprise data solutions. This role will focus on building next-generation cloud data platforms, driving adoption of modern analytics technologies, and ensuring alignment with governance and security standards.</p><p><br></p><p>You’ll serve as a hands-on technical leader, partnering closely with engineering, analytics, and business teams to architect data platforms that enable advanced analytics and AI/ML initiatives. This position blends deep technical expertise with strategic thinking to help unlock the value of data across the organization.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design and implement end-to-end data architecture for big data and advanced analytics platforms.</li><li>Architect and build Delta Lake–based lakehouse environments from the ground up, including DLT pipelines, PySpark jobs, workflows, Unity Catalog, and Medallion architecture.</li><li>Develop scalable data models that meet performance, security, and governance requirements.</li><li>Configure and optimize clusters, notebooks, and workflows to support ETL/ELT pipelines.</li><li>Integrate cloud data platforms with supporting services such as data storage, orchestration, secrets management, and analytics tools.</li><li>Establish and enforce best practices for data governance, security, and cost optimization.</li><li>Collaborate with data engineers, analysts, and stakeholders to translate business requirements into technical solutions.</li><li>Provide technical leadership and mentorship to team members.</li><li>Monitor, troubleshoot, and optimize data pipelines to ensure reliability and efficiency.</li><li>Ensure compliance with organizational and regulatory standards related to data privacy and security.</li><li>Create and maintain documentation for architecture, processes, and governance standards.</li></ul>
We are looking for an experienced Data Architect to design and implement cutting-edge data solutions that meet the evolving needs of our enterprise. This role involves building secure, scalable, and high-performing data platforms while leveraging modern technologies and aligning with organizational goals. The ideal candidate will have expertise in cloud-based architecture, data governance, and advanced analytics, driving innovation across diverse business functions.<br><br>Responsibilities:<br>• Develop comprehensive data architecture strategies for advanced analytics and big data solutions using Azure Databricks.<br>• Design and implement Databricks Delta Lake-based Lakehouse architecture, utilizing PySpark Jobs, Databricks Workflows, Unity Catalog, and Medallion architecture.<br>• Optimize and configure Databricks clusters, notebooks, and workflows to ensure efficiency and scalability.<br>• Integrate Databricks with Azure services such as Azure Data Lake Storage, Azure Data Factory, Azure Key Vault, and Microsoft Fabric.<br>• Establish and enforce best practices for data governance, security, and cost management.<br>• Collaborate with data engineers, analysts, and business stakeholders to translate functional requirements into robust technical solutions.<br>• Provide technical mentoring and leadership to team members focused on Databricks and Azure technologies.<br>• Monitor, troubleshoot, and enhance data pipelines and workflows to maintain reliability and performance.<br>• Ensure compliance with organizational and regulatory standards regarding data security and privacy.<br>• Document configurations, processes, and governance standards to support long-term scalability and usability.
<p><strong>Responsibilities:</strong></p><ul><li>Collect, process, and analyze large structured and unstructured datasets to identify meaningful trends, patterns, and opportunities for business improvement</li><li>Develop, test, and deploy predictive models, machine learning algorithms, and statistical analyses to address key business challenges </li><li>Collaborate with cross-functional teams, including business analysts, engineers, and stakeholders, to identify analytics solutions and align deliverables with strategic goals </li><li>Communicate complex findings and recommendations clearly to technical and non-technical audiences through reports, dashboards, and visualizations</li><li>Automate repetitive tasks, streamline data flows, and ensure data quality and governance throughout the analytics lifecycle</li><li>Stay updated on industry trends, emerging technologies, and best practices in data science and AI to continuously enhance solutions</li></ul><p><br></p>
<p>We are looking for an experienced Data Scientist to join our team. In this position, you will play a critical role in analyzing complex datasets, developing data pipelines, and delivering actionable insights to support research, development, and operational strategies. This is a unique opportunity to collaborate with R& D teams and contribute to innovative geospatial applications that impact business outcomes.</p><p><br></p><p>Responsibilities:</p><p>• Analyze diverse datasets from research programs, field trials, and operational systems to generate business insights.</p><p>• Collaborate with R& D teams to aggregate experimental results into statistically sound and geospatially relevant analyses.</p><p>• Develop actionable insights to optimize manufacturing processes, improve product performance, and enhance sales strategies.</p><p>• Communicate findings effectively to stakeholders to support decision-making and ensure proper implementation of technologies.</p><p>• Build and optimize datasets using programming languages such as Python and R.</p><p>• Participate in the development and maintenance of automated data pipelines and reproducible workflows.</p><p>• Design semantic data layers to facilitate the translation of experimental data into business solutions.</p><p>• Utilize tools like Databricks, Snowflake, and Power BI to support data management and visualization.</p><p>• Contribute to the strategic planning and creation of platforms that integrate data for field applications.</p><p>• Work closely with research teams to understand and address data-related challenges.</p>
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.
We are looking for a highly skilled Data Reporting Analyst to join our team in Cincinnati, Ohio. In this long-term contract position, you will play a key role in transforming complex data into actionable insights that drive business decisions. This hybrid role requires a blend of technical expertise and analytical capabilities to support organizational goals effectively.<br><br>Responsibilities:<br>• Analyze complex datasets to uncover trends, insights, and opportunities for business improvement.<br>• Develop and maintain dashboards, reports, and visualizations using tools such as Tableau and BusinessObjects.<br>• Collaborate with cross-functional teams to understand reporting needs and ensure data integrity.<br>• Utilize Python and SQL to automate data processes and streamline workflows.<br>• Apply advanced analytics methods to support strategic initiatives and decision-making.<br>• Monitor and optimize reporting systems to ensure accuracy and efficiency.<br>• Translate technical findings into clear, actionable recommendations for stakeholders.<br>• Provide support for data governance and adherence to organizational standards.<br>• Stay updated on industry trends and emerging tools to enhance reporting capabilities.
<p><strong>Job Title</strong>: Data & Financial Operations Analyst </p><p><strong>Location</strong>: Santa Fe Springs </p><p><strong>About Our Client:</strong> Join a nationwide leader in the distribution industry where innovation, precision, and performance drive everything we do. We’re looking for a data-savvy powerhouse who thrives at the intersection of sales analytics, financial operations, and business intelligence — someone who doesn’t just crunch numbers but transforms them into compelling stories that guide strategic decisions. </p><p><br></p><p><strong>What You’ll Do: </strong></p><ul><li>Master the Numbers: Own weekly sales projection models in Excel, ensuring leadership has accurate, real-time insights to forecast growth. </li><li>Build Powerful Dashboards: Design dynamic, visually impactful dashboards (Excel, Power BI, or Tableau) that give decision-makers instant clarity on performance trends. </li><li>Deliver High-Impact Reports: Create and present monthly performance and trend reports by extracting, cleansing, and analyzing data from large databases. </li><li>Dig Deep: Use data mining techniques to identify sales opportunities, operational efficiencies, and revenue gaps. </li><li>Ensure Financial Precision: Review credit card statements and GL-coded entries for accuracy, compliance, and cost control. </li><li>Protect Profitability: Audit billing systems and pricing terms to confirm alignment with contracts and margin expectations. </li><li>Elevate Insights: Partner with sales, finance, and operations teams to translate raw data into actionable business strategies.</li></ul>
We are looking for an experienced Data Analyst to join our team on a long-term contract basis in New York City, New York. This role involves leveraging data to identify patterns, detect anomalies, and provide actionable insights to enhance decision-making processes. The ideal candidate will have strong analytical skills and expertise in fraud investigation and prevention.<br><br>Responsibilities:<br>• Analyze large datasets to uncover trends, anomalies, and patterns that indicate potential fraud.<br>• Develop and implement fraud detection strategies using advanced analytics and tools.<br>• Collaborate with cross-functional teams to enhance fraud prevention mechanisms and policies.<br>• Conduct thorough investigations into suspected fraudulent activities and provide detailed reports.<br>• Create visual representations of data findings to effectively communicate insights to stakeholders.<br>• Utilize anti-fraud techniques to mitigate risks and safeguard organizational assets.<br>• Maintain accurate and organized records of investigations and analytical processes.<br>• Monitor and evaluate the effectiveness of fraud prevention strategies and recommend improvements.<br>• Stay updated on industry trends and emerging technologies related to fraud analytics.<br>• Provide training and support to team members on fraud detection tools and methodologies.
We are looking for an experienced Data Engineer Lead to join our team in Columbus, Ohio on a contract basis. In this role, you will be responsible for leading the development and operation of data pipelines, ensuring seamless integration and delivery of data for analytics initiatives. As a senior member of the team, you will also take on a mentorship role, guiding and developing less experienced team members while driving technical excellence.<br><br>Responsibilities:<br>• Design, build, and maintain robust data pipelines to support enterprise-wide analytics initiatives.<br>• Collaborate with data science and business teams to refine data requirements and ensure streamlined data consumption.<br>• Lead efforts to renovate and automate data management infrastructure to enhance integration and processing efficiency.<br>• Implement and enforce data quality standards to ensure accuracy, consistency, and reliability of data.<br>• Provide training and guidance to colleagues on data preparation techniques and tools.<br>• Partner with data governance teams to curate and promote reusable data content across the organization.<br>• Communicate complex data insights effectively to both technical and non-technical stakeholders.<br>• Stay informed on emerging technologies, assessing their potential impact and integrating relevant advancements.<br>• Offer leadership, coaching, and mentorship to team members, fostering a collaborative and growth-oriented environment.<br>• Work closely with stakeholders to understand business goals and align services to meet those needs.
