<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><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>We are looking for a skilled Senior Financial & Data Analyst to join our client on a long-term contract basis in Midtown New York. In this role, you will play a critical part in supporting financial analysis, data analytics, and day-to-day finance operations with a focus on systems reporting. This position is hybrid on-site. </p><p><br></p><p>Responsibilities:</p><p>Partner with the VP Finance and Finance Team to assist with automating processes and reporting</p><p>• Collaborate closely with Business Managers to support strategic initiatives and decision-making.</p><p>• Create financial models to provide insights to business operations.</p><p>• Analyze and resolve data issues within the newly implemented systems, ensuring smooth operations.</p><p>• Develop and deliver insightful financial dashboards and reports using advanced business intelligence tools.</p><p>• Apply data mining techniques and visualization tools to support strategic planning and operational efficiency.</p>
<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>This role will be onsite in Marysville, OH four days per week</p><p><br></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>Project 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 highly skilled and motivated Senior Data Scientist to join our Enterprise Analytics team on a contract basis in Columbus, Ohio. In this role, you will leverage advanced data science techniques to uncover opportunities for improving customer experiences and driving business growth. You will work closely with cross-functional teams, including marketing, product, finance, and senior leadership, to deliver actionable insights and performance analytics. This position offers a unique chance to influence strategic decision-making and contribute to high-visibility projects.<br><br>Responsibilities:<br>• Analyze customer, product, channel, and digital data to identify opportunities for enhancing consumer experiences and delivering customer value.<br>• Develop and implement data-driven models and experiments to answer complex business questions.<br>• Conduct research on emerging techniques in machine learning, artificial intelligence, and advanced analytics.<br>• Create intuitive data visualizations and compelling data stories to communicate insights to diverse stakeholders.<br>• Collaborate with teams across the organization to align analytics efforts with business objectives.<br>• Deliver actionable recommendations to product teams and senior leadership based on data analysis.<br>• Partner with Agile development teams to support projects throughout their lifecycle, from ideation to implementation.<br>• Ensure the quality and accuracy of data used in analyses and models.<br>• Stay updated on the latest tools and methodologies in data science and analytics to enhance team capabilities.
<p><strong>Job Title:</strong> Data Analytics Specialist – SAP Data Governance & Quality</p><p> <strong>Service Type:</strong> Temporary, 44 Week Contract</p><p> <strong>Location:</strong> Remote (Must be located in EST or CST)</p><p><strong>Position Overview</strong></p><p>Are you passionate about data? Do you find joy in transforming raw information into meaningful insights? If so, we invite you to apply for the role of <strong>SAP Data Analytics Specialist</strong>. This position plays a key role in preparing for our migration to SAP S/4HANA by ensuring the integrity, accuracy, and optimization of data across SAP systems.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li><strong>Data Profiling:</strong> Analyze SAP data for quality, consistency, and completeness. Identify patterns, anomalies, and areas for improvement.</li><li><strong>Data Quality Management:</strong> Develop and apply data quality rules, perform validation checks, and recommend corrective actions.</li><li><strong>Data Governance:</strong> Collaborate with stakeholders to uphold data governance standards and promote best practices.</li><li><strong>Data Migration & Integration:</strong> Support SAP data migration efforts, ensuring clean and structured data, and assist with data mapping and integration.</li><li><strong>Reporting & Analytics:</strong> Create and maintain dashboards and reports to monitor KPIs related to data quality and system performance.</li><li><strong>Cross-Functional Collaboration:</strong> Partner with SAP functional teams (e.g., MM, SD, FICO) to resolve data issues and implement data-driven solutions.</li><li><strong>Continuous Improvement:</strong> Contribute to process enhancements that improve data accuracy and system efficiency.</li><li><strong>Documentation & Training:</strong> Document methodologies and procedures; assist in developing training materials for data management processes.</li></ul><p><br></p><p><strong>What You Will Learn</strong></p><ul><li>How to transform raw data into high-quality, fit-for-purpose assets.</li><li>How to collaborate across departments to unlock the value of enterprise data.</li><li>The strategic role data plays in driving business decisions.</li><li>Best-in-class tools and techniques that will elevate your career.</li></ul><p><br></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>
We are looking for a skilled Generative AI Analyst/Prompt Engineer to join our team on a contract basis in New York, New York. In this role, you will leverage your expertise in data science and artificial intelligence to develop and optimize innovative solutions. This position is an excellent opportunity to work in the financial services industry while applying cutting-edge AI technologies to real-world challenges.<br><br>Responsibilities:<br>• Design, implement, and optimize AI-driven models and solutions tailored to business needs.<br>• Develop and maintain scalable data pipelines and workflows using tools like Apache Kafka, Spark, and Hadoop.<br>• Write and debug Python code, utilizing Jupyter Notebooks for effective data analysis and visualization.<br>• Collaborate with cross-functional teams to integrate AI models into existing systems and workflows.<br>• Research and experiment with state-of-the-art generative AI techniques to improve system performance.<br>• Build and manage APIs to facilitate seamless communication between applications and AI models.<br>• Utilize cloud-based technologies, including AWS, to deploy, scale, and monitor AI solutions.<br>• Visualize complex data insights through effective data visualization techniques and tools.<br>• Implement algorithms that solve specific business problems in a robust and efficient manner.
<p>We are looking for an experienced VP of Strategic Marketing and Client Engagement. In this leadership role, you will drive the development of innovative marketing strategies designed to align with client business goals and enhance engagement through data-driven approaches. This position requires a strong blend of strategic vision, analytical expertise, and collaborative leadership to deliver impactful results for healthcare and life sciences clients. Candidates must have experience with both B2B HCP audiences and B2C Physician audiences. This role requires quarterly travel throughout the East Coast. </p><p><br></p><p>Responsibilities:</p><p>• Partner with clients to develop and implement marketing strategies that align with their business objectives and deliver measurable outcomes.</p><p>• Oversee cross-functional collaboration across marketing, analytics, and product teams to optimize media strategies, improve audience targeting, and enhance engagement.</p><p>• Utilize data insights to curate audience segmentation and design campaigns tailored to specific client needs.</p><p>• Play a key role in business development efforts, including campaign performance analysis and strategies for revenue growth.</p><p>• Create and execute plans aimed at improving client satisfaction, retention rates, and overall revenue.</p><p>• Collaborate with analytics teams to ensure data-driven recommendations support omnichannel marketing initiatives.</p><p>• Lead strategic planning efforts in close coordination with data science and engineering teams to deliver insight-focused solutions.</p><p>• Mentor and manage account management, analytics, and strategy teams to drive operational excellence and foster growth.</p><p>• Develop comprehensive strategic roadmaps that guide client projects and enhance marketing program effectiveness.</p><p>• Support the alignment of marketing strategies with organizational growth objectives and industry trends</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>Overview</strong></p><p> The Data Analyst will transform complex datasets into actionable business insights that drive strategic decision-making across departments. This role requires strong analytical skills, business acumen, and the ability to communicate findings clearly to both technical and non-technical audiences. The ideal candidate is comfortable working with large datasets, automating reporting, and collaborating cross-functionally to solve business problems.</p><p><strong>Key Responsibilities</strong></p><ul><li>Collect, clean, and analyze data from multiple internal and external sources to support business operations and strategic initiatives.</li><li>Build, maintain, and optimize dashboards and reports in <strong>Power BI, Tableau, or Looker</strong> to visualize performance metrics and KPIs.</li><li>Perform data validation, quality checks, and root-cause analysis to ensure data accuracy and reliability.</li><li>Collaborate with business stakeholders to translate requirements into analytical deliverables and clear data-driven recommendations.</li><li>Develop and maintain SQL queries, scripts, and stored procedures for recurring and ad-hoc analysis.</li><li>Identify trends, patterns, and correlations within datasets to support forecasting and performance improvement initiatives.</li><li>Work closely with data engineering and IT teams to enhance data pipelines and ensure efficient data availability.</li><li>Present analytical findings through clear visualizations, executive summaries, and presentations tailored to business leaders.</li><li>Support automation of reporting processes to reduce manual effort and improve consistency.</li></ul><p><br></p>
Financial Analyst Robert Half is looking for a contract Financial Analyst to join a fast-growing company. In this position, you will conduct financial modeling on various financial products as well as measure, analyze and forecast performance in conjunction with operating plans. Role & Responsibilities We are seeking a Financial Analyst who can support world class strategic and financial planning methods, build long-range operating plans to support business imperatives, develop rolling forecast processes to ensure resources each and every quarter are consumed at maximum effectiveness. You will also help with operationalizing and cultivating a more data-driven planning process and improved monthly and quarterly reporting. In this role, you will be directly involved in the coordination of the various planning cycles (annual planning, quarterly forecasts and monthly outlooks), and be the finance point person working a cross-functional team (Sales leadership, Business Operations, and Sales Operations) while providing strategic analyses and recommendations. You will provide variance analysis of bookings, revenues and expenses, clearly explaining the business reasons for variances and adjusting the outlook models to reflect operational adjustments. · Seeking a highly flexible individual comfortable with large amounts of information, and adept at managing expectations · Supporting weekly, quarterly and annual Area/Segment level Bookings and P& L forecasting · Analyzing performance to date and assessing potential risks and opportunities · Understanding and explaining internal and external drivers impacting performance and trending · Learning and applying econometric and statistical methods to forecasting · Enabling effective Business Intelligence (BI) to provide forward-looking insight and decision support · Provide analytical support during New Year readiness/Year End planning cycle · Drive the strategy and business planning process · Become embedded within the Marketing and Customer Success organizations. Establish trust and quickly understand the key drivers of the business, economic trends and core metrics · Work with senior executives on strategic deep dives by developing financial models and insights on topics such as: Retention forecasts, Cam · Drive monthly reporting to business partners on financial results and actions required · Work with Accounting on the monthly and quarterly financial close process Please apply online or through our Robert Half app
We are looking for a skilled Data Engineer to join our team on a contract basis in Cincinnati, Ohio. In this role, you will design, develop, and maintain data pipelines, ensuring effective data processing and integration. Your expertise will help drive the success of our data-driven initiatives.<br><br>Responsibilities:<br>• Develop and optimize scalable data pipelines to efficiently process and transform large datasets.<br>• Implement and maintain ETL processes to ensure accurate data extraction, transformation, and loading.<br>• Work with tools like Apache Spark, Hadoop, and Kafka to manage and process data effectively.<br>• Collaborate with cross-functional teams to understand data requirements and deliver suitable solutions.<br>• Ensure data security, integrity, and high availability across platforms.<br>• Conduct performance tuning of data systems to enhance efficiency and reliability.<br>• Troubleshoot and resolve data-related technical issues promptly.<br>• Create and maintain documentation for data workflows, systems, and processes.<br>• Stay updated on emerging technologies to improve data engineering practices.
<p><strong>Job Title: AWS Data Analyst</strong></p><p> <strong>Location: Princeton, New Jersey (Hybrid 2-3x a week)</strong></p><p> <strong>Employment Type: </strong>6-month contract </p><p><strong>Overview:</strong></p><p> We are seeking a skilled <strong>AWS Data Analyst</strong> to join our team. This role involves collecting, cleaning, and interpreting large datasets to uncover patterns and insights that inform strategic business decisions. The successful candidate will communicate findings through reports and dashboards, collaborating with stakeholders across the organization.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Extract, clean, and analyze large datasets from diverse sources.</li><li>Write and optimize complex SQL queries for data retrieval and analysis.</li><li>Develop and maintain dashboards and reports for business stakeholders.</li><li>Utilize AWS services such as S3, Redshift, Athena, and Glue for data processing and analysis.</li><li>Collaborate with cross-functional teams to understand data needs and deliver actionable insights.</li><li>Ensure data integrity, consistency, and security across platforms.</li><li>Identify trends, anomalies, and opportunities to support data-driven decision-making.</li></ul><p><br></p>
We are looking for a skilled Data Reporting Analyst to join our team on a contract basis in Jacksonville, Florida. In this role, you will focus on organizing, analyzing, and transforming large datasets to provide meaningful insights. The ideal candidate should possess strong technical expertise and be able to efficiently manipulate raw data using advanced Excel techniques.<br><br>Responsibilities:<br>• Analyze and organize raw data into structured formats for reporting purposes.<br>• Perform advanced Excel functions such as VLOOKUP, XLOOKUP, COUNTIF, and pivot tables to extract and evaluate data.<br>• Adjust journal entries based on data insights and provide recommendations for write-offs when necessary.<br>• Filter and refine large datasets to ensure accuracy and relevance.<br>• Create detailed reports and summaries using organized data.<br>• Collaborate with stakeholders to define data parameters and reporting requirements.<br>• Identify trends and patterns within datasets to support decision-making.<br>• Ensure data integrity and troubleshoot discrepancies in large data sets.<br>• Maintain and update datasets to reflect current information.
<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><strong>Overview</strong></p><p> The Data Engineer is responsible for building and maintaining the data infrastructure that powers analytics, reporting, and data-driven decision-making across the organization. This role requires hands-on experience with data modeling, ETL/ELT development, and modern cloud data platforms. The ideal candidate is skilled at transforming raw data into clean, reliable datasets and optimizing data pipelines for performance and scalability.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design, build, and maintain <strong>data pipelines</strong> and <strong>ETL/ELT workflows</strong> that move and transform data from various sources into centralized data warehouses or data lakes.</li><li>Develop and manage <strong>data models</strong>, schemas, and metadata to ensure consistency, scalability, and performance.</li><li>Work with large, complex datasets using tools like <strong>SQL, Python, and Spark</strong> to automate data ingestion and transformation.</li><li>Collaborate with analysts, data scientists, and business stakeholders to understand data needs and support analytical initiatives.</li><li>Implement and maintain <strong>data quality, governance, and validation processes</strong> to ensure accuracy and reliability.</li><li>Optimize data pipeline performance and cost across cloud environments such as <strong>AWS, Azure, or Google Cloud</strong>.</li><li>Support <strong>data warehouse development</strong> using platforms such as <strong>Snowflake, Redshift, BigQuery, or Synapse</strong>.</li><li>Troubleshoot and resolve data issues in production environments, ensuring minimal downtime and data integrity.</li><li>Maintain documentation for data pipelines, system architecture, and transformation logic.</li><li>Stay current with emerging data engineering technologies and recommend improvements to architecture and process design.</li></ul><p><br></p>
<p>Our client is seeking a <strong>Lead Engineer / Senior Lead Engineer</strong> to join their technology and systems team. This role sits at the intersection of <strong>technology, operations, and investment strategy</strong>, and will directly influence how the company manages and grows its portfolio.</p><p><br></p><p>Unlike traditional engineering roles, this position is <strong>deeply embedded with business teams</strong>—you’ll work side-by-side with Asset Management, Property Operations, and Construction leaders to design and deploy tools that directly improve operational performance and financial outcomes.</p><p>This is a <strong>hands-on builder role</strong> for someone who thrives on turning complex business needs into real, usable software solutions. You’ll write code, automate workflows, integrate data systems, and build analytics dashboards—all while collaborating closely with executives and operational leaders.</p><p>The company operates a large, vertically integrated portfolio across the Western U.S. and partners with major institutional investors. Its culture emphasizes <strong>teamwork, integrity, innovation, and excellence</strong>—valuing individuals who take ownership and drive measurable impact.</p><p><br></p><p><strong>Primary Responsibilities</strong></p><ul><li><strong>Partner with business teams:</strong> Collaborate directly with property management, asset management, and finance teams to identify pain points, inefficiencies, and opportunities for automation.</li><li><strong>Rapid prototyping & deployment:</strong> Design and deliver data tools, dashboards, and automations that drive immediate results.</li><li><strong>Systems integration:</strong> Connect and streamline workflows across platforms such as Yardi, Zendesk, Palantir Foundry, Excel/Sheets, and internal databases.</li><li><strong>Operational analytics:</strong> Develop analytical models to support forecasting, expense tracking, and portfolio performance analysis.</li><li><strong>AI & automation:</strong> Implement AI-based tools to optimize leasing, maintenance, and communication workflows.</li><li><strong>Measure business impact:</strong> Quantify improvements in efficiency, cost reduction, and performance resulting from technical solutions.</li><li><strong>Cross-functional collaboration:</strong> Translate between business and technical teams to ensure that solutions are practical, scalable, and aligned with business goals.</li></ul><p><br></p>
<p>Robert Half is seeking a <strong>Financial Data Analyst </strong>to join a long-term project with a leading global financial technology organization. This role will focus on supporting a large-scale data initiative involving the review, interpretation, and categorization of financial communications and transactions to improve machine learning and AI-driven systems.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Analyze and annotate financial communication data to identify intent and context.</li><li>Support the development of AI models by providing high-quality, structured data inputs for training and testing.</li><li>Extract and interpret data to identify patterns, anomalies, and key performance indicators.</li><li>Develop and maintain dashboards and reports in Excel using pivot tables, VLOOKUPs, and related functions.</li><li>Collaborate with data science and engineering teams to refine tagging guidelines and improve overall model accuracy.</li></ul><p><br></p>
<p>We are seeking an experienced and detail-oriented<strong> Data Processing Specialist</strong> who has a proven track record in data cleanup, management, and organization. This role will be responsible for ensuring the integrity, accuracy, and proper organization of datasets while contributing to strategic initiatives like data migration and system optimization. The ideal candidate will have experience working with Student Information Systems (SIS) such as PowerSchool and Aeries SIS, as well as prior experience with SIS migration projects.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Perform data cleanup activities to ensure accuracy and consistency across all datasets.</li><li>Organize and manage large sets of data, maintaining compliance and data security protocols.</li><li>Develop workflows and processes to enhance data management efficiency and quality.</li><li>Run regular data audits and generate reports to identify discrepancies and areas for improvement.</li><li>Collaborate with cross-functional teams to gather, transfer, and integrate data during SIS migration projects.</li><li>Utilize analytical tools and technologies to streamline workflows and optimize system performance.</li><li>Provide technical support and guidance related to SIS tools, including PowerSchool and Aeries SIS.</li><li>Ensure timely, efficient, and accurate migration of data between systems during SIS transitions.</li><li>Maintain proper documentation related to all data management and migration processes.</li></ul><p><br></p>
<p>Are you obsessed with data and thrive on turning complexity into clarity? We’re looking for a <strong>Lead Data Engineer</strong> who lives and breathes Python, knows Snowflake inside out, and can architect scalable solutions in AWS. If you love solving hard problems, building elegant data platforms, and communicating your ideas with clarity and impact—this is your role.</p><p>🔍 What You’ll Do</p><ul><li>Design and implement cloud-native data platforms using <strong>AWS</strong> and <strong>Snowflake</strong></li><li>Build robust data pipelines and services using <strong>Python</strong> and modern engineering practices</li><li>Architect scalable solutions for data ingestion, transformation, and analytics</li><li>Collaborate with analysts, scientists, and business stakeholders to translate ideas into technical reality</li><li>Lead cross-functional teams to deliver high-impact data products</li><li>Migrate legacy systems to cloud-based platforms with minimal disruption</li><li>Define long-term data architecture strategies aligned with business goals</li><li>Mentor junior engineers and champion best practices in design, testing, and deployment</li><li>Communicate complex technical concepts in a way that resonates with non-technical audiences</li></ul><p><br></p>
<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>
<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>
<p><strong>Overview:</strong></p><p> We are looking for a Data Engineer with deep experience in AWS and Databricks to support our big data initiatives and analytics platforms.</p><p><strong>Responsibilities:</strong></p><ul><li>Build and maintain scalable data pipelines using AWS Glue, Lambda, and Databricks.</li><li>Integrate data from various sources into a unified data lake.</li><li>Optimize Spark jobs and manage cluster performance.</li><li>Collaborate with cross-functional teams to deliver data solutions.</li><li>Implement data quality checks and monitoring frameworks.</li></ul><p><br></p>
<p>Our client in the Downtown Houston area is looking for a contract / potentially contract-to-hire Financial Analyst to join their team. This role is 100% onsite in the Downtown Houston area. The candidate should have at least 3 years of experience and can work onsite with no scheduling restrictions during a work week.</p><p><br></p><p><strong>Job Summary:</strong></p><p>As a Financial Analyst, you will play a critical role in providing analytical support to drive informed business decisions. You will analyze financial data, evaluate forecasting models, and participate in budgeting processes to assist leaders in achieving organizational objectives. This role is heavily focused on financial planning as well as internal and external reporting accuracy. The ideal candidate should possess expertise in data analytics, financial reporting, and the ability to present key insights to executives.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Provide accurate and timely financial analyses, reports, and forecasts by consolidating data from multiple sources.</li><li>Collaborate with cross-functional teams to deliver insights on budgeting, operating costs, and profitability metrics.</li><li>Conduct cost and performance analyses to support decision-making</li><li>Prepare monthly, quarterly, and annual financial reports for leadership and departmental stakeholders.</li><li>Analyze business performance trends and variances, presenting findings in a clear and actionable format.</li><li>Assist with the development and maintenance of financial models used for forecasting and strategic planning.</li><li>Budget/Forecasting/Action Planning</li><li>Run variance analysis monthly to summarize actuals vs forecasts with key drivers</li><li>Compile weekly/monthly projection and present in real time actionable format</li><li>Participate in Quarterly Forecast Cycle and Annual Operating Plan creation through analysis, documentation, and reporting</li><li>Support preparation of monthly financial business reviews and other</li><li>Evaluate market trends as they relate to organizational performance and future investment opportunities.</li><li>Conduct ad-hoc financial analysis and reporting as needed by senior management.</li><li>Ensure compliance with financial regulations and internal policies, addressing any discrepancies.</li></ul><p><br></p>
