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Join a leading company in the staffing industry as a Data Scientist II, where you'll play a key role in leveraging generative AI and advanced analytics to drive business innovation. This role focuses on building AI-driven solutions, refining large language models, and developing predictive analytics to optimize decision-making. If you're passionate about using cutting-edge data science methodologies to solve complex business challenges, we want to hear from you!

Data Analytics & Modeling:

Develop and implement predictive models using machine learning algorithms.
Analyze large datasets to optimize key business processes.
Collaborate with engineering teams to deploy real-time model solutions.
Utilize Azure Machine Learning, Databricks, and Microsoft data services for model building and deployment.

Large Language Model Fine-Tuning:

Enhance AI model performance through fine-tuning and prompt engineering.
Conduct benchmarking with human-in-the-loop feedback for iterative improvements.
Design multi-agent workflows to solve business challenges.
Stay updated on advancements in AI and large language models.

Data Strategy & Business Collaboration:

Work with IT and data engineering teams to integrate AI solutions into enterprise systems.
Partner with stakeholders to translate data insights into actionable strategies.

Bachelor’s degree in Statistics, Computer Science, or a related field (Master’s/PhD preferred).
5+ years of experience in data science, predictive modeling, and AI solutions.
Strong expertise in machine learning, NLP, and big data technologies (Azure, Hadoop, Hive, etc.).
Proficiency in Python, MATLAB, Scala, or similar programming languages.
Experience with AI frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Excellent problem-solving and communication skills.
Azure certifications preferred.

Ready to make an impact with AI-driven solutions? Apply today!

Technology Doesn't Change the World, People Do.^®

Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles. Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app and get 1-tap apply, notifications of AI-matched jobs, and much more. All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information. © 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking “Apply Now,” you’re agreeing to Robert Half’s Terms of Use.

217 results for Big Data Analytics

Data Scientist-Gen AI Join a leading company in the staffing industry as a Data Scientist II, where you'll play a key role in leveraging generative AI and advanced analytics to drive business innovation. This role focuses on building AI-driven solutions, refining large language models, and developing predictive analytics to optimize decision-making. If you're passionate about using cutting-edge data science methodologies to solve complex business challenges, we want to hear from you! Data Analytics & Modeling:<ul><li>Develop and implement predictive models using machine learning algorithms.</li><li>Analyze large datasets to optimize key business processes.</li><li>Collaborate with engineering teams to deploy real-time model solutions.</li><li>Utilize Azure Machine Learning, Databricks, and Microsoft data services for model building and deployment.</li></ul>Large Language Model Fine-Tuning:<ul><li>Enhance AI model performance through fine-tuning and prompt engineering.</li><li>Conduct benchmarking with human-in-the-loop feedback for iterative improvements.</li><li>Design multi-agent workflows to solve business challenges.</li><li>Stay updated on advancements in AI and large language models.</li></ul>Data Strategy & Business Collaboration:<ul><li>Work with IT and data engineering teams to integrate AI solutions into enterprise systems.</li><li>Partner with stakeholders to translate data insights into actionable strategies.</li></ul>

Data Engineer We are seeking a Data Engineer to join our team based in Cleveland, Ohio. This role primarily involves working with Azure technologies including Azure Data Factory, Azure Data Lake, and Azure Synapse Analytics. The Data Engineer will be responsible for managing and optimizing data pipelines and developing techniques for big data handling and analysis. Responsibilities: • Design, construct, install, test and maintain data management systems. • Ensure systems meet business requirements and industry practices. • Build high-performance algorithms, prototypes, and conceptual models. • Identify ways to improve data reliability, efficiency, and quality. • Collaborate with data architects, modelers, and IT team members on project goals. • Use Azure Data Factory for the orchestration and ETL/ELT data movement. • Utilize Azure Data Lake for storing and analyzing data. • Implement Azure Synapse Analytics to blend big data and relational data. • Translate business needs into data solutions. • Conduct testing and troubleshooting of data systems.

Data Engineer We are offering a permanent employment opportunity for a Data Engineer in the insurance industry, based in Branchville, New Jersey. As a Data Engineer, your role will encompass the development and support of data applications, working in close collaboration with business analysts, application and enterprise architects, and providing technical guidance to the team for implementing complex data solutions. Responsibilities: • Collaborate with business analysts to understand data and business processes, making recommendations on best practices or long-term solutions to resolve current issues and for future system design. • Engage in hands-on development and support of new or existing data applications. • Work in partnership with Application and Enterprise Architects to understand high-level data flow designs and create/review low-level implementation designs. • Offer technical guidance to the team for implementing intricate data solutions. • Maintain detailed documentation to support downstream integrations. • Provide support for production issues and execute the activities of a scrum master. • Identify technology trends and explore opportunities for their use within the organization. • Participate in the design, development, code reviews, testing, deployment, and documentation of data engineering and data integration applications.

Data Scientist We are in search of a Data Scientist to join our Manufacturing sector team based in WAYNE, Pennsylvania. This role involves the application of advanced analytics to drive business decisions, the use of Python programming for data handling, and the collaboration with team members across various departments to align data analysis efforts with organizational objectives. Responsibilities: • Utilize data analytics to enhance the accuracy of business forecasting. • Support the creation and routine updating of financial reports and dashboards. • Employ Python programming language and associated libraries such as pandas and numpy for efficient data handling. • Collaborate with finance, financial planning and analysis, and operations teams to ensure data analysis aligns with the overall organizational goals. • Respond promptly to ad-hoc data requests and aid in crafting data summaries for stakeholders. • Stay abreast of industry trends and best practices in data analytics and financial modeling. • Engage in training and mentorship programs to bolster technical and analytical skills. • Assist in gathering, organizing, cleansing, and analyzing data to derive meaningful insights that inform business decisions. • Develop notebooks on Jupyter for team projects and analyses to foster collaboration.

Data Reporting Analyst We are in search of a Data Reporting Analyst to join our team located in Grand Blanc, Michigan. As a Data Reporting Analyst, your role will involve leveraging your skills in Agile Scrum, Analytics, Business Intelligence (BI), SQL, Pandas, Power BI, Python, Jupyter Notebook, Data Visualization, and Data Cleansing to offer insightful reporting solutions and contribute to strategic decision-making processes. Responsibilities: • Leverage Python and SQL to cleanse, manipulate, and analyze large data sets. • Utilize Power BI and other Business Intelligence (BI) tools to create dynamic, intuitive reports and visualizations. • Collaboratively work within an Agile Scrum environment to deliver projects and tasks on time. • Implement data analytics strategies and provide insights to steer business decisions. • Use Jupyter Notebook and Pandas for exploratory data analysis and preliminary visualization. • Ensure data integrity by conducting thorough data cleansing processes. • Use Apache Spark, Atlassian Jira, and BusinessObjects Technologies in various data-related tasks. • Perform gap analysis to identify areas for improvement or enhancement in the data reporting process. • Utilize Erwin Data for data modeling and design tasks. • Create and maintain documentation of data processes and reporting methods.

Data Analyst Duties and Responsibilities: Data Analysis and Insights:<ul><li>Collect, clean, and preprocess large datasets from various sources to ensure data integrity and accuracy.</li><li>Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies.</li><li>Generate actionable insights to provide solutions to business challenges.</li></ul>Python-Based Data Operations:<ul><li>Develop and maintain Python scripts for data manipulation tasks, automation, and reporting workflows.</li><li>Design reusable Python modules, libraries, and frameworks to standardize data analysis processes.</li><li>Work with Python-based tools and frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, plotly) for advanced data analysis and visualization.</li></ul>Collaboration and Reporting:<ul><li>Collaborate with data engineers, business analysts, and stakeholders to understand business requirements and deliver data-driven recommendations.</li><li>Create interactive dashboards and reports using visualization tools like Power BI, Tableau, or Python-based libraries.</li></ul>Data Optimization and Quality Assurance:<ul><li>Identify and implement ways to improve data quality, accessibility, and reliability.</li><li>Conduct regular audits to ensure data accuracy and consistency.</li></ul>Emerging Technology Exploration:<ul><li>Stay updated with trends in Python, machine learning, and AI to recommend and implement tools or practices that enhance the data analytics workflow.</li></ul>

Data Scientist We are in search of an entry to junior level Data Scientist to be a part of our team, based North of Dallas, TX. The individual will be a key player in the retail industry, using their analytical abilities and knowledge of data mining, statistical modeling, and machine learning to influence strategic business decisions. You will be instrumental in transforming data into actionable insights and fostering a data-driven culture within our team. Responsibilities<ul><li>Utilize advanced statistical models and machine learning algorithms to derive insights from complex datasets</li><li>Conduct comprehensive data exploration to discover trends, patterns, anomalies, and insights</li><li>Collaborate closely with stakeholders to comprehend business requirements and convert them into analytical projects</li><li>Translate intricate analytical findings into clear, understandable recommendations for upper management</li><li>Lead multiple analytics projects concurrently from start to finish, managing timelines and resources effectively</li><li>Develop strategies for project plans, timelines, and resource allocation</li><li>Ensure the successful delivery of insights that influence business performance</li><li>Design visualizations, interactive dashboards, and reports utilizing tools like Power BI to effectively communicate insights</li><li>Automate reporting processes to enhance efficiency and accuracy</li><li>Stay up-to-date on industry trends, tools, techniques, and emerging technologies in advanced analytics and data science</li><li>Experiment with new methodologies to continuously improve analytical capabilities</li><li>Challenge the conventional with data and innovative thinking.</li></ul>

Data Scientist - Group Director We are offering a contract to permanent employment opportunity for a Data Scientist - Group Director in New York. This role is pivotal in our team, with the primary focus on overseeing and nurturing the team of data scientists, data engineers, and data analysts. In addition, this role will involve direct data processing, statistical analysis, data modeling, and data governance tasks. Responsibilities: • Lead a team of data scientists, data engineers, and data analysts, fostering a positive and performance-driven culture • Oversee data processing, cleansing, and handling of raw data to generate large, structured datasets for analysis and modeling • Direct and conduct statistical analyses on both macro and micro levels • Execute ad-hoc “what if scenarios” and simulations based on models and evaluate media plans • Oversee the production of reporting, data visualization, and presentation building • Collaborate with internal teams across Business Intelligence, Buying, Planning, and Digital Investment to deliver integrated client deliverables • Drive research and development initiatives using algorithmic modeling, deriving new features, and providing training and support to power users • Employ critical thinking in identifying issues, solving problems, and improving processes • Translate business problems into mathematical expressions and equations • Ensure timely project delivery, producing analyses and content that is clean, organized, easy to understand • Present data and analyses in a compelling way to internal stakeholders and clients, ensuring their satisfaction • Support new business initiatives at the agency level, expand the Advanced Analytics client portfolio and upsell services to existing clients.

Data Engineer We are offering a long term contract employment opportunity for a Data Engineer in Houston, Texas. This role will involve deploying OneTrust's Universal Consent & Preference Management, Targeted Data Discovery, and Enterprise Data Discovery. The ideal candidate will have experience with Apache Kafka, Apache Pig, Apache Spark, Cloud Technologies, Data Visualization, Algorithm Implementation, Analytics, Apache Hadoop, API Development, and AWS Technologies. Responsibilities: • Deploy OneTrust's Universal Consent & Preference Management system. • Implement Targeted Data Discovery for improved data accuracy. • Utilize Enterprise Data Discovery for effective data management. • Operate and manage Apache Kafka for real-time data processing. • Use Apache Pig and Apache Spark for big data analysis. • Employ Cloud Technologies for data storage and accessibility. • Create Data Visualization models to represent complex data. • Implement algorithms for efficient data processing. • Use analytics tools to draw insights from large data sets. • Manage Apache Hadoop for storing processing and analyzing big data. • Develop APIs for effective data exchange. • Utilize AWS Technologies for cloud computing services.

CW - Senior Data Engineer (E) Position Description The Senior Data Engineer is a senior technical role in supporting the information management architecture of the Enterprise Data Warehouse solution. The role will be actively responsible for designing the data acquisition data staging loading and transformation into the Enterprise Data Warehouse. This role will be a technical expert and resource collaborating with the Data Architect Software Engineers Product Owners and Project Team to develop and deliver data storage and movement solutions and to organize and oversee the loading of data into the related systems. Additionally the Senior Data Engineer will bridge gaps related to Business Intelligence functions supporting the analytics produced by the organization and providing expertise tying data movement together with data consumption. Position Accountabilities: · Design and develop complex ETL solutions using data warehouse design best practices · Analyze data requirements data models and determine the best methods in extracting transforming and loading the data into the data staging warehouse and other system integration projects · Create complex business intelligence reports and data visualizations using tools like Python Tableau and PowerBI · Analyze business requirements and outline solutions · Validate code against business and architectural requirements · Create and test prototypes · Troubleshoot applications and resolve defects · Work within an agile framework · Plan Prioritize and Deliver Resilient Scalable technical solutions · Communicate ideas in both technical and user friendly language · Update and maintain product documentation · Escalate issues and impediments in a timely manner · Work within established framework and processes Agile · Collaboratively work with Agile teams as well as independently · Perform and coordinate unit and system integration testing when required · Participate in peer programming mobbing hackathons and code reviews as required · Support and occasionally lead business intelligence efforts data analytics efforts and data governance/quality efforts Position Qualifications Education amp Experience A Bachelor’s Degree or a combination of equivalent work experience 7 years of previous experience in information technology preferably within the financial services or other highly-regulated industry 5 years ETL development experience 3 years of Business Intelligence Data Analytics or Data Science experience 3 years of experience in an Agile environment Knowledge of ETL and data warehouse design Experience using Python for data movement/manipulation Extensive experience with data dictionaries data analysis and relational databases Experience with a business intelligence toolset Preferred Qualifications A Master’s Degree in a technology area of study preferably in Computer Science MIS or Analytics. Knowledge amp Skills · · Creative problem solver with excellent communication leadership and collaboration ...

Sr Data Analyst (Sales Planning Analytics) Robert Half has a new opening for a Sr Data Analyst w/ Sales Planning Analytics experience, for a client of ours here in Tampa, FL.Position is full-time hours, on-site in their Tampa office (33614). Compensation ranging $80-100K depending on experience.Interviews are actively being scheduled - Apply NOW! Top Skills/Experience Looking For:<ul><li>SAP Analytics/sales reports and modeling</li><li>Change Implementation (have had to influence people to make changes)</li><li>Proficiency working in Excel</li><li>This candidate will be working with the commercial sales team to drive numbers and help with the incoming volume</li></ul> Position Description:The Sr. Analyst, Sales Planning & Analytics will be the analytical lead responsible for coordinating robust strategies for their assigned sales channels and product portfolios. This role will partner closely with the Commercial Sales team to develop sound business solutions that will drive sales growth and increased profitability through the use of internal and external volume analysis. Key elements of the role include consolidating and translating numbers into information that helps the company make better decisions. Will work closely with a variety of people within the business inclusive of Sales, IT, Finance, Supply Chain, and Strategy. Essential Functions:<ul><li> Partner with Commercial team to provide strategic recommendations, in-depth market analysis, and volume/market pricing projections for new product efforts.</li><li> Work closely with various cross functional departments to assess the impact of market trends, competitive dynamics, and supply chain/operational constraints on market demand and pricing.</li><li> Work with Supply Chain to understand plant capabilities and constraints to assess the impact on forecasts and opportunities as well as potential alternatives for the customer.</li><li> Work with Product Development and Procurement to understand the ingredients needed for each product, all relevant constraints, and potential alternatives for the customer.</li><li> Adhere to company's structures, capabilities, and processes based on insights from internal and external sources including, but not limited to, competitive dynamics, market trends, customer research, commodity trends, and operational information.</li><li> Support new product efforts through in-depth market analysis and modeling for new products / new customers.</li><li> Partner with all levels of management in driving solutions to enhance product performance.</li><li> Make formal and informal presentations on customer and product strategies, and provide key insights and recommendations.</li><li> Analyze volume, mix and pricing changes within their assigned sales channel and key categories. Summarize trends with respect to performance vs Prior Year, forecast, plan, and work with FP& A and the Commercial team to accurately reflect those trends into the Budget/Forecast.</li></ul>

Investment Trading Analyst 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. Responsibilities:• Accurately maintain data used in investment trading decisions, ensuring its availability from the initiation to the settlement of trades.• Conduct portfolio analysis using data analysis tools, Microsoft Excel, MySQL, and SQL.• Engage directly with trade partners to resolve data-related inquiries.• Oversee portfolio reporting infrastructure and ensure its accuracy and efficiency.• Establish yourself as the go-to expert for all reporting and data analysis related to portfolio acquisitions.• Assist in research projects as per the requests of portfolio managers.• Monitor the outcomes of investment strategies and make necessary adjustments.• Collaborate with technology/data teams to ensure the accuracy of information and analysis.• Regularly analyze portfolio return/risk.• Handle all processes related to trade commencement to settlement. Minimum Qualifications:<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>Preferred Qualifications:<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>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.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.

BI Analyst About the Role:We are seeking a Business Intelligence (BI) Analyst to turn data into actionable insights that drive business decisions. The ideal candidate will have a strong analytical mindset, experience working with BI tools, and the ability to communicate complex data in a clear and impactful way. You will work closely with stakeholders to develop dashboards, reports, and analytics solutions that optimize performance across the organization.Responsibilities:<ul><li>Design, develop, and maintain interactive dashboards and reports using Power BI, Tableau, or other BI tools.</li><li>Analyze large datasets to identify trends, patterns, and business opportunities.</li><li>Collaborate with cross-functional teams to gather business requirements and translate them into data solutions.</li><li>Ensure data accuracy, integrity, and governance across all reporting platforms.</li><li>Automate data processes and improve efficiency in reporting workflows.</li><li>Present insights and recommendations to business leaders to support strategic decision-making.</li><li>Stay updated on industry trends and best practices in BI and data analytics.</li></ul>

Programmer Analyst We are offering an exciting opportunity for a Programmer Analyst in WEST CHICAGO, Illinois, United States. As a Programmer Analyst, you will be instrumental in providing structured data and reporting, enhancing our custom applications, ensuring application stability, delivering high-quality applications, and developing a state-of-the-art reporting environment. Responsibilities:• Develop and support SQL Server, Microsoft Fabric and Power BI applications to aid in business trend determination and direction setting• Conduct technical assessments for possible enhancements and fixes to custom applications, providing detailed technical specifications and identifying business process and system resource impacts• Guarantee application stability by quickly resolving issues, identifying root causes, and implementing proactive monitoring and prevention measures• Coordinate and participate in testing to ensure delivery of high-quality, bug-free applications in line with quality control standards• Facilitate end user training and adoption to ensure effective use of applications• Develop a modern reporting environment utilizing technologies such as Power BI, Microsoft Fabric, DAX, SQL, and others to provide a superior reporting experience for customers, suppliers, and emp

Sr. Financial Analyst The Senior Financial Analyst of Business Plan and Special Reporting will be responsible for the overall direction and completion of the Business Plan Process. Will plan, direct, and coordinate activities of Business Plan to ensure that milestones are accomplished within the prescribed time frame and funding parameters. This position will also be responsible for the completion of certain monthly/quarterly/yearly analysis and reporting packages which will be completed and presented to the Manager of Financial Planning & Analysis (FP& A) for final approval. Examples of reports may include: monthly internal P& L summary reports, quarterly and yearly tax summaries, external partner reporting, management reporting, capital forecasts, and overhead cost control reports. MAJOR RESPONSIBILITIES Annual Business Plan- This position is the primary point of contact for the annual business plan process, encompassing all 800+ field locations and 150+ corporate departments of a multi-billion dollar business- Responsible for the coordination and communication of the steps required for the completion of the business plan process. Major milestones are:- Working with Field Finance and other stakeholders to identify process improvement opportunities and coordinating with MIS to ensure those changes meet user requirements with minimal disruption to the process- Delivery of multiple training sessions to the field and corporate locations personnel on the Business Plan model- While locations are entering plans in October, responding quickly to questions, and resolving any issues in coordination with MIS and other parties- Accurate and timely upload and validation of all Business plan revenue and cost information to match the financial targets set by senior management Reporting- As deemed necessary by the Manager of FP& A, this position will be responsible for both recurring reporting and ad-hoc project requests- Update slides for monthly package for senior leadership and the board, and generate packet of backup reporting for use by the CFO and President Operational Analysis- This position will be required to collaborate with the Manager of FP& A to explore and execute upon opportunities to streamline processes and/or develop analysis methodologies which help to better explain historical results and ultimately improve forecasting accuracy.- Other projects as assigned by the manager .

BI - Data Analyst Position: Data Analyst -- Direct Hire PermanentLocation: Des Moines, IA -- HybridSalary: up to $100,000 base annual salary with exceptional benefits *** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. *** Senior Data Analyst – Unlock the Power of Healthcare DataAre you passionate about transforming complex data into actionable insights that drive better health outcomes? Join a collaborative team dedicated to supporting healthcare innovation as a Senior Data Analyst! This is your chance to deliver cutting-edge analytics, create impactful dashboards, and optimize performance for critical healthcare initiatives.What You’ll Do<ul><li>Design & Develop Analytics: Utilize Epic tools, SQL, and Power BI to build dynamic dashboards, visualizations, and reports that enable strategic decision-making.</li><li>Drive Performance Improvement: Analyze clinical processes to map data, implement population health management tools, and track key performance metrics.</li><li>Consult & Collaborate: Provide technical expertise and training to health center analysts, ensuring their success across projects and initiatives.</li><li>Enhance Data Governance: Lead and participate in governance committees, ensuring compliance with HIPAA and other regulations.</li></ul>What You Bring<ul><li>Proven Expertise: 3+ years working with SQL and report writing or data analysis, with experience in database structures and tools like Power BI.</li><li>Healthcare Focus: Background in Epic EHR data reporting and population health tools preferred.</li><li>Technical Savvy: Skill in synthesizing data from multiple sources and creating reliable reporting frameworks.</li><li>Educational Edge: A degree in Healthcare Administration, Public Health, Data Science, or related field (or equivalent experience).</li></ul> *** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. Also, you may contact me by office: 515-303-4654 or mobile: 515-771-8142. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***

Data Engineer We are offering an exciting opportunity for a Data Engineer to join our team in Miami, Florida. This role primarily involves designing, creating, and managing large datasets using a variety of data technologies and tools. The Data Engineer will also be tasked with developing algorithms and deploying data-driven analytics to business problems. Responsibilities: • Develop and implement algorithms to enhance data processing and analytics. • Utilize tools like Apache Kafka, Apache Pig, and Apache Spark for data management and processing. • Leverage cloud technologies for efficient data storage and retrieval. • Collaborate with the team to develop APIs for data usage and sharing. • Apply AWS Technologies for managing and processing large datasets. • Implement data visualization strategies to represent data in a comprehensible way. • Use Google Data Studio for effective data reporting and representation. • Work with Apache Hadoop for distributed processing of large data sets across clusters. • Ensure the implementation of efficient algorithms for data processing and analytics. • Continuously monitor, refine and report on the performance of data management systems.

Data Engineer We are searching for a Data Engineer with skills in Fabric/Azure, Python, and cloud technologies to join our team. This role is in Chicago, Illinois and offers a short-term contract employment opportunity. As a Data Engineer, you will be tasked with developing data pipelines in Fabric, understanding the Fabric medallion architecture, and utilizing Python for various projects. Responsibilities: • Develop and manage data pipelines in Fabric, ensuring smooth deployment from development to production.• Gain a comprehensive understanding of Fabric medallion architecture, including bronze, silver, and gold layers.• Utilize your Python knowledge to enhance and optimize data processing tasks.• Utilize your skills in Apache Kafka, Apache Pig, and Apache Spark for data processing and analytics.• Use your knowledge of cloud technologies to manage and maintain the data infrastructure.• Leverage your skills in data visualization and algorithm implementation to create insightful data reports and visualizations.• Work with AWS technologies and API development to enhance data processing capabilities.• Maintain excellent communication skills and be able to work remotely and independently under tight deadlines.• Use your knowledge of Apache Hadoop and analytics to analyze large data sets and derive insights.• Apply your skills in Microsoft Fabric and data pipelines to enhance data processing and storage capabilities.

AI Director Are you an innovative leader with a strong passion for artificial intelligence (AI), emerging technologies, and the ability to drive transformative change? Our premier Des Moines, IA client has an immediate opening for an AI Director to lead the integration of AI and automation in operations, enhancing efficiency, collaboration, and business growth. In this leadership role, you will collaborate across departments to identify, develop, and implement tailored AI-driven solutions while fostering a culture of innovation and forward-thinking across the organization. This position will focus on advancing AI and innovation strategies, such as:<ul><li>Identifying opportunities for increased collaboration across departments and team initiatives.</li><li>Optimizing operations and decision-making through data-driven tools and AI solutions.</li><li>Leveraging AI-driven automation to improve processes and efficiency.</li><li>Driving measurable improvements in operations, services, and growth outcomes.</li></ul>Key Responsibilities:Strategic Leadership & Innovation:<ul><li>Develop and implement a strategic AI and innovation roadmap that aligns with organizational objectives.</li><li>Collaborate with various leaders to identify opportunities for implementing AI to improve operations and customer experiences.</li><li>Monitor and assess emerging AI trends that could positively impact organizational goals.</li><li>Foster innovation and collaboration across teams and departments.</li></ul>AI & Technology Implementation:<ul><li>Oversee the deployment of AI technologies, including predictive analytics, automation tools, and machine learning models.</li><li>Build systems and tools that improve collaboration and communication across projects and teams.</li><li>Work with internal technical teams and external partners to align AI-driven projects with operational needs and infrastructure.</li><li>Uphold ethical AI standards and ensure compliance with data privacy regulations.</li><li>Provide AI training and resources to empower team members with essential digital skills.</li><li>Lead change management initiatives to facilitate the smooth adoption of AI-centric processes.</li><li>Regularly monitor the performance and outcomes of AI solutions, refining systems for optimal impact.</li></ul> This leadership opportunity offers the chance to shape the future direction of technology and innovation across organizational operations. If you are passionate about AI and ready to drive impactful change, send a current resume to Kristen Lee on LinkedIn or apply directly to this posting today!

Data Analyst We are seeking a Data Analyst to join our team and help transform raw data into actionable insights. In this role, you will analyze complex datasets, develop reports, and support data-driven decision-making across the organization. If you have a passion for data visualization, business intelligence, and analytics, we want to hear from you!Key Responsibilities:<ul><li>Collect, clean, and analyze large datasets to identify trends and insights.</li><li>Develop reports, dashboards, and visualizations using Power BI, Tableau, or Excel.</li><li>Perform SQL queries to extract and manipulate data from relational databases.</li><li>Work with stakeholders to understand business needs and translate them into data-driven solutions.</li><li>Conduct data validation and quality assurance to ensure accuracy and reliability.</li><li>Identify key performance indicators (KPIs) and provide recommendations for business growth.</li><li>Support predictive modeling and statistical analysis using Python or R (if applicable).</li><li>Collaborate with cross-functional teams to drive data strategy and automation.</li></ul>

Data Engineer We are in search of a Data Engineer, ready to utilize their skills in a dynamic setting. The industry we operate in is highly data-driven, and your role will be pivotal in managing and interpreting this data. Our workplace is situated in Grand Blanc, Michigan, United States. Responsibilities: • Develop and manage streaming applications using Apache Kafka for real-time data processing • Implement algorithms and data structures to solve complex data problems • Utilize Apache Pig and Apache Spark to process large datasets efficiently • Develop APIs to facilitate data access • Leverage cloud technologies to ensure scalable and secure data storage • Perform data visualization to present insights in an easily understandable manner • Use Python and SQL for data extraction and manipulation • Implement Kubernetes and Terraform for orchestration and infrastructure as code • Manage SQL Server and DB2 databases for structured data storage • Ensure continuous integration and continuous delivery (CICD) for efficient software development and deployment • Conduct analytics to derive valuable insights from collected data.

Data Analyst We are seeking a motivated and detail-oriented Data Analyst to join our team. The ideal candidate has a strong background in SQL Server, Business Intelligence (BI) tools, and data analysis, with knowledge of Python or PowerShell as a valuable bonus. If you’re passionate about transforming data into actionable insights, streamlining processes, and contributing to impactful decision-making, we encourage you to apply. Key Responsibilities:<ul><li>Design, write, and optimize complex queries in SQL Server for extracting and analyzing data.</li><li>Develop and maintain BI (Business Intelligence) dashboards and reports using tools like Power BI or Tableau to communicate key insights to stakeholders.</li><li>Analyze large datasets, identify trends, and provide actionable recommendations to improve business outcomes.</li><li>Collaborate with departments to gather requirements, ensuring data solutions meet business needs.</li><li>Conduct ad hoc analysis and reporting to support business objectives.</li><li>Utilize Python or PowerShell to automate repetitive data tasks and processes (a plus).</li><li>Ensure data accuracy and integrity through rigorous validation and testing.</li><li>Stay up to date with industry trends and recommend improvements to tools, processes, and practices.</li></ul>

Data Engineer We are seeking a highly skilled Data Engineer with cloud experience (Azure, AWS, or Google Cloud) to design, develop, and maintain scalable data pipelines and infrastructure. You will work closely with data scientists, analysts, and software engineers to optimize data architecture and enable data-driven decision-making. If you have expertise in ETL processes, cloud platforms, and big data technologies, we’d love to hear from you!Key Responsibilities:<ul><li>Design, build, and maintain scalable ETL pipelines to support analytics and machine learning workflows.</li><li>Develop and optimize data storage solutions on Azure, AWS, or Google Cloud.</li><li>Ensure data integrity, quality, and security across cloud-based architectures.</li><li>Work with SQL and NoSQL databases to manage structured and unstructured data.</li><li>Automate data workflows and integrate data from multiple sources (APIs, logs, third-party systems).</li><li>Collaborate with cross-functional teams to support real-time data streaming and analytics.</li><li>Implement best practices for data governance, compliance, and security.</li><li>Monitor and troubleshoot data pipelines to ensure high availability and performance.</li></ul>

Data Analyst We are offering a long term contract employment opportunity for a Data Analyst in Taylor, Michigan. This role primarily revolves around maintaining the configuration of a custom database or Salesforce CRM, cleaning and processing large volumes of data, and collaborating with decision makers to generate comprehensive reports and presentations. Responsibilities:• Analyze and process large volumes of data to identify trends and assess performance and quality• Collaborate with team members and decision makers to collect and analyze data, and report results• Utilize SQL and other analytical techniques to analyze a wide variety of data• Develop comprehensive reports, presentations, maps, or charts based on data collection and analysis• Test and debug reports, and validate results• Use Microsoft Office Suite and Power BI to create dashboards and report data• Identify potential risk factors in tasks or projects, and communicate them to support the well-being of the organization.

Financial Data Analyst We are offering a permanent employment opportunity for a Financial Data Analyst in the Insurance industry based in Grand Rapids, Michigan. The selected candidate will be required to handle a variety of tasks, including processing complex financial data, understanding detailed financial processes, and using data analysis tools effectively. Responsibilities: • Analyze large data sets and ensure proper migration of trial balances • Utilize Microsoft Excel extensively for data validation and manipulation • Understand and interpret financial data, including debits and credits • Solve financial problems and understand their causes and effects • Utilize Visual Basic (VB) and SQL for data analysis when necessary • Adapt to complex and potentially unusual financial processes • Map chart of accounts and ensure their appropriate migration • Demonstrate initiative by asking necessary questions to understand and complete tasks effectively • Maintain an open and honest communication regarding task understanding and execution.

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