Data analyst jobs in Dublin, OH

Immediate need for a talented IT Business Analyst. This is a 12+ Months Contract opportunity with long-term potential and is located in Columbus, OH (Remote). Please review the job description below and contact me ASAP if you are interested. Job ID:25-94405 Pay Range: $55 - $57/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Requirements and Technology Experience: Skills-Planview, Agile place & Data Mapping Experience with techniques to elicit, prioritize, organize, document, model, and analyze requirements. Facilitation and meeting management skills with the ability to create a framework that encourages participation and productivity. Knowledge of software development methodologies, including Agile techniques, to effectively support delivery. Knowledge of industry-standard tools for process mapping, documentation, and software development lifecycle management to enhance clarity and streamline business operations. Ability to negotiate and influence others through sharing information and gaining commitment Presentation skills and ability to present information in various ways to meet audience needs Analytical and problem-solving skills with attention to detail for accurate solution assessment and recommendation Listening, verbal, and written communication skills to effectively translate between technical and non-technical stakeholders. Interpersonal skills to effectively interact and influence across diverse organizations. Ability to collaborate with others in a team-orien- Experience with Planview Portfolio implementations is a huge bonus Familiarity with tools - AgilePlace, Mural, Visio (for process mapping and workflow design). Knowledge of data mapping and system data integration/migrationted environment with shifting priorities and deadlines. Ability to prioritize and execute concurrent initiatives while balancing deadlines and stakeholder needs without impacting quality. Our client is a leading Insurance Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Russell Tobin's client is hiring a Product Analyst - Digital Content in Columbus, OH Employment Type: Contract Pay rate: $35-$38/hr Description: The Product Analyst is responsible for supporting the end-to-end delivery of complex digital products within a content-focused environment. This role partners closely with Product Owners, SMEs, development teams, and creative/merchandising stakeholders to ensure a best-in-class customer experience across digital channels. The ideal candidate brings strong Agile experience, digital or ecommerce knowledge, and the ability to work in a fast-paced, cross-functional environment. Responsibilities: Support product lifecycle activities from concept through delivery. Partner with Product Owner to define and refine product features that align to business goals. Gather requirements; write user stories and acceptance criteria. Maintain awareness of industry trends to guide product roadmap decisions. Identify product dependencies and impacts across digital platforms. Act as Product Owner proxy as needed. Coordinate and execute UAT with a focus on customer experience. Train internal users on new features and functionality. Manage and optimize 3rd-party solutions and tools. Execute A/B tests and analyze results. Prepare data for lower development environments. Serve as point of contact for developers during requirement clarifications. Analyze support issues to identify trends and improvement opportunities. Participate in on-call rotations and defect triage to ensure platform stability. Requirements: Strong experience writing Agile user stories & acceptance criteria. Ecommerce or digital product experience (retail preferred). Ability to thrive in a fast-paced environment. Excellent communication and cross-functional partnering skills. Solid understanding of Agile frameworks and terminology. Nice to have: Agile product team environments Working with creative, marketing, merchandising, or operational stakeholders CMS, PIM, or other digital content tools (power user level a plus) Digital merchandising, content setup, or creative production workflows Change management or workflow-focused roles Strong curiosity and problem-solving mindset Benefits that Russell Tobin offers: Russell Tobin offers eligible employees comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance, and hospital indemnity), a 401(k)-retirement savings, life & disability insurance, an employee assistance program, identity theft protection, legal support, auto and home insurance, pet insurance, and employee discounts with some preferred vendors.

Candidates MUST go on-site at one of the following locations Columbus, OH Cincinnati, OH Cleveland, OH Indianapolis, IN Hagerstown, MD Chicago, IL Detroit, MI Minnetonka, MN Houston, TX Charlotte, NC Akron, OH Experience: · Master's degree and 5+ years of experience related work experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, scripting languages, and packages, experience with big data analysis tools and techniques, and experience building and deploying predictive models, web scraping, and scalable data pipelines · Expert understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling Python, R, or SAS SQL and some sort of lending experience (i.e. HELOC, Mortgage etc) is most important Excellent communication skills If a candidate has cred card experience (i.e. Discover or Bread financial ) THEY ARE A+ fit! Education: Master's degree or PhD in computer science, statistics, economics or related fields Responsibilities: · Prioritizes analytical projects based on business value and technological readiness Performs large-scale experimentation and build data-driven models to answer business questions Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence Evangelizes best practices to analytics and products teams Acts as the go-to resource for machine learning across a range of business needs Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring Provides leadership, coaching, and mentoring to team members and develops the team to work with all areas of the organization Works with stakeholders to ensure that business needs are clearly understood and that services meet those needs Anticipates and analyzes trends in technology while assessing the emerging technology's impact(s) Coaches' individuals through change and serves as a role model Skills: · Up-to-date knowledge of machine learning and data analytics tools and techniques Strong knowledge in predictive modeling methodology Experienced at leveraging both structured and unstructured data sources Willingness and ability to learn new technologies on the job Demonstrated ability to communicate complex results to technical and non-technical audiences Strategic, intellectually curious thinker with focus on outcomes Professional image with the ability to form relationships across functions Ability to train more junior analysts regarding day-to-day activities, as necessary Proven ability to lead cross-functional teams Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker) Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret) Demonstrated Expertise with at least one Data Science environment (R/RStudio, Python, SAS) and at least one database architecture (SQL, NoSQL) Financial Services background preferred

We are seeking a junior-to-mid-level team member with 2-5 years of experience in VMO governance and hands-on expertise with Azure DevOps (ADO). This role supports governance, tooling, workforce enablement, and reporting initiatives within the Value Management Office (VMO). You'll help maintain standards, assist end users, and contribute to training and continuous improvement efforts. Key Responsibilities Support delivery and maintenance of programs, tools, training, and reporting. Assist end users with ADO processes (boards, queries, dashboards) aligned to standards. Create instructional materials and contribute to training sessions. Prepare meeting materials, capture action items, and follow up on tasks. Perform UAT and verification before/after ADO changes; assist with testing. Maintain SharePoint resources for reports and training. Fulfill ADO access requests and assist with license questions. Monitor Jenkins test reports and collaborate with DevOps partners on issues. Support implementation and monitoring of Value Streams, OKRs, and reporting governance. Help teams resolve ADO data hygiene errors and improve workflows. Basic Qualifications Bachelor's degree or equivalent experience. 2-5 years in a delivery role (e.g., BA, Scrum Master, Developer). Strong experience with Azure DevOps (Jira acceptable if willing to learn ADO). Proficient with O365 tools (Word, Excel, PowerPoint, SharePoint/Teams). Ability to analyze data, identify patterns, and recommend improvements. Familiarity with Agile and Waterfall frameworks. Strong communication, facilitation, and organizational skills. Nice to Have Experience creating process maps (Visio or similar). Tableau and SQL query experience. Familiarity with ServiceNow and other delivery management tools. Ability to deliver training and create job aids.

*Per the client, No C2C's!* Central Point Partners is currently interviewing candidates in the Columbus, Oh area for a large client. only GC's and USC's. This position is Hybrid (4 Days onsite)! Only candidates who are local to Columbus, Oh will be considered. Data Scientist with Hands On development experience with R, SQL & Python Summary: Our client is seeking a passionate, data-savvy Senior Data Scientist to join the Enterprise Analytics team to fuel our mission of growth through data-driven insights and opportunity discovery. This dynamic role uses a consultative approach with the business segments to dive into our customer, product, channel, and digital data to uncover opportunities for consumer experience optimization and customer value delivery. You will also enable stakeholders with actionable, intuitive performance insights that provide the business with direction for growth. The ideal candidate will have a robust mix of technical and communication skills, with a passion for optimization, data storytelling, and data visualization. You will collaborate with a centralized team of data scientists as well as teams across the organization including Product, Marketing, Data, Finance, and senior leadership. This is an exciting opportunity to be a key influencer to the company's strategic decisions and to learn and grow with our Analytics team. Notes from the manager The skills that will be critical will be Python or R and a firm understanding of SQL along with foundationally understanding what data is needed to perform studies now and in the future. For a high-level summary that should help describe what this person will be asked to do alongside their peers: I would say this person will balance analysis with development, knowing when to jump in and knowing when to step back to lend their expertise. Feature & Functional Design Data scientists are embedded in the team's designing the feature. Their main job here is to define the data tracking needed to evaluate the business case-things like event logging, Adobe tagging, third-party data ingestion, and any other tracking requirements. They are also meant to consult and outline if/when business should be bringing data into the bank and will help connect business with CDAO and IT warehousing and data engineering partners should new data need to be brought forward. Feature Engineering & Development The same data scientists stay involved as the feature moves into execution. They support all necessary functions (Amigo, QA, etc.) to ensure data tracking is in place when the feature goes live. They also begin preparing to support launch evaluation and measurement against experimentation design or business case success criteria. Feature Rollout & Performance Evaluation Owns tracking the rollout, running A/B tests, and conducting impact analysis for all features that they have been involved in the Feature & Functional Design and Feature Engineering & Development stages. They provide an unbiased view of how the feature performs against the original business case along with making objective recommendations that will provide direction for business. They will roll off once the feature has matured through business case/experiment design and evaluation. In addition to supporting feature rollouts… Data scientists on the team are also encouraged to pursue self-driven initiatives during periods when they are not actively supporting other projects. These initiatives may include designing experiments, conducting exploratory analyses, developing predictive models, or identifying new opportunities for impact. For more information about this opportunity, please contact Bill Hart at ************ AND email your resume to **********************************!

Client: Leading Investment Bank Contract Term: Onsite role Note: we do not take visa transfers or support sponsorship. This is not a C2C / 1099 role. We are seeking an AML Compliance Analyst Basic for a very important client. Pluses that could set you apart! • Hands on AML, KYC, fraud, or investigations experience. • SAR (Suspicious Activity Report) writing skills. • Excel expertise in VLOOKUPs and Pivot Tables. • Bachelor's Degree, preferably in Criminal Justice or a similar field. Job Responsibilities • Collect and analyze data, including alert, transactions, customer demographics and relevant account information to identify potential suspicious activity • Disposition and fully document the investigation, including supporting data, analysis, and rationale for disposition within the case management system • Complete the Suspicious Activity Report (SAR) form , if applicable, in accordance with Financial Crimes Enforcement Network (FinCEN) requirements • Effectively communicate with associates, management and various stakeholders on risks identified, possible typologies and recommend next steps • Balance inventory queues, deadlines, and priorities to achieve departmental standards and production goals. • Demonstrate teamwork by accepting ad-hoc requests to assist other associates on inventory Interpretation of AML Risk standards, guidelines, policies and procedures. Make risk based determination through Quality Analysis whether alerts were properly cleared by Compliance Alerts Analysts. Ensure Alert data has been accurately collected and documented, including but not limited to: Investigations data, Suspicious Activity Reports (SARS) & Currency Transaction Reports (CTR), Know Your Customer (KYC) information, any relevant account and transaction data and all required information which would assist in an investigation. Strong research, analytical and comprehension skills, with ability to analyze large amounts of data. The ideal candidate will possess the following qualifications: Required Qualifications, Capabilities, and Skills • Exceptional written and verbal communication skills • Strong analytical, interpretive, organizational skills • Strong attention to detail, ability to prioritize and manage tasks • Independent decision maker, able to make time-sensitive assessments and articulate findings to senior investigators or managers • Knowledge of banking products and services • Understanding of regulatory concepts including, but not limited to, the Bank Secrecy Act, Office of Foreign Assets Control sanctions, and the USA PATRIOT Act • Proficient in MS Office (Outlook/Word/Excel/Access/PowerPoint)

Job Title: DMS/EMS/SCADA Analyst (Onsite) Duration: 12-month contract (W2 only) Schedule: Mon-Fri, 8am-5pm (OT as needed) Travel: ~5% to Gahanna, OH Possibility of conversion | No sponsorship About the Role We are seeking a DMS/EMS/SCADA Analyst to support real-time operational systems for Distribution and Transmission Operations. This role is 100% onsite and requires hands-on experience with SCADA, DMS, or EMS systems in an electric utility environment. Responsibilities Maintain and support DMS/EMS/SCADA systems and real-time data interfaces Build and maintain SCADA models, on-line displays, and tools Support RTU modeling, configuration, checkout, and commissioning Troubleshoot SCADA technical issues and provide after-hours support when needed Improve system reliability, data quality, and SCADA processes Assist Protection & Control Engineering with SCADA standards and configuration Participate in small/medium SCADA project scoping Train and support junior analysts Minimum Qualifications Associate Degree in Computer Science, Electrical Engineering, Telecommunications, or related field OR High school diploma + 5 years DMS/EMS/SCADA experience OR Bachelor's Degree + 1 year DMS/EMS/SCADA experience 3+ years experience with DMS/EMS/SCADA systems (utility preferred) Strong skills in: Application development OS support System administration Database technologies (any 2 required) Required Skills Hands-on experience with SCADA systems Understanding of real-time operations and field equipment Experience with RTUs, I/O settings, alarms, and communication protocols Strong troubleshooting, communication, and organizational skills Ability to work onsite full-time and support occasional after-hours issues Preferred Skills Experience with TOPS SCADA Knowledge of Protection & Control (P&C) applications Familiar with legacy communication technologies (async/sync)

We are seeking a highly skilled Analytics Data Engineer with deep expertise in building scalable data solutions on the AWS platform. The ideal candidate is a 10/10 expert in Python and PySpark, with strong working knowledge of SQL. This engineer will play a critical role in translating business and end-user needs into robust analytics products-spanning ingestion, transformation, curation, and enablement for downstream reporting and visualization. You will work closely with both business stakeholders and IT teams to design, develop, and deploy advanced data pipelines and analytical capabilities that power enterprise decision-making. Key Responsibilities Data Engineering & Pipeline Development Design, develop, and optimize scalable data ingestion pipelines using Python, PySpark, and AWS native services. Build end-to-end solutions to move large-scale big data from source systems into AWS environments (e.g., S3, Redshift, DynamoDB, RDS). Develop and maintain robust data transformation and curation processes to support analytics, dashboards, and business intelligence tools. Implement best practices for data quality, validation, auditing, and error-handling within pipelines. Analytics Solution Design Collaborate with business users to understand analytical needs and translate them into technical specifications, data models, and solution architectures. Build curated datasets optimized for reporting, visualization, machine learning, and self-service analytics. Contribute to solution design for analytics products leveraging AWS services such as AWS Glue, Lambda, EMR, Athena, Step Functions, Redshift, Kinesis, Lake Formation, etc. Cross-Functional Collaboration Work with IT and business partners to define requirements, architecture, and KPIs for analytical solutions. Participate in Daily Scrum meetings, code reviews, and architecture discussions to ensure alignment with enterprise data strategy and coding standards. Provide mentorship and guidance to junior engineers and analysts as needed. Engineering (Supporting Skills) Employ strong skills in Python, Pyspark and SQL to support data engineering tasks, broader system integration requirements, and application layer needs. Implement scripts, utilities, and micro-services as needed to support analytics workloads. Required Qualifications 5+ years of professional experience in data engineering, analytics engineering, or full-stack data development roles. Expert-level proficiency (10/10) in: Python PySpark Strong working knowledge of: SQL and other programming languages Demonstrated experience designing and delivering big-data ingestion and transformation solutions through AWS. Hands-on experience with AWS services such as Glue, EMR, Lambda, Redshift, S3, Kinesis, CloudFormation, IAM, etc. Strong understanding of data warehousing, ETL/ELT, distributed computing, and data modeling. Ability to partner effectively with business stakeholders and translate requirements into technical solutions. Strong problem-solving skills and the ability to work independently in a fast-paced environment. Preferred Qualifications Experience with BI/Visualization tools such as Tableau Experience building CI/CD pipelines for data products (e.g., Jenkins, GitHub Actions). Familiarity with machine learning workflows or MLOps frameworks. Knowledge of metadata management, data governance, and data lineage tools.

4 days onsite - Marysville, OH Skillset: Bachelor's degree in computer science, data science, engineering, or related field 10 years minimum relevant experience in design and implementation of data models (Erwin) for enterprise data warehouse initiatives Experience leading projects involving cloud data lakes, data warehousing, data modeling, and data analysis Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS), real-time data distribution (Kinesis, Kafka, Dataflow), and modern data warehouse tools (Redshift, Snowflake, Databricks) Experience with various database platforms, including DB2, MS SQL Server, PostgreSQL, Couchbase, MongoDB, etc. Understanding of entity-relationship modeling, metadata systems, and data security, quality tools and techniques Ability to design traditional/relational and modern big-data architecture based on business needs Experience with business intelligence tools and technologies such as Informatica, Power BI, and Tableau Exceptional communication and presentation skills Strong analytical and problem-solving skills Ability to collaborate and excel in complex, cross-functional teams involving data scientists, business analysts, and stakeholders Ability to guide solution design and architecture to meet business needs.

Responsible for understanding, preparing, processing, and analyzing data to make it valuable and useful for operations decision support. Accountabilities in this role include: Partnering with Business Analysis and Analytics teams. Demonstrating problem-solving ability for effective and timely resolution of system issues, including production outages. Developing and supporting standard processes to harvest data from various sources and perform data blending to develop advanced data sets, analytical cubes, and data exploration. Utilizing queries, data exploration and transformation, and basic statistical methods. Creating Python scripts. Developing Microsoft SQL Server Integration Services Workflows. Building Microsoft SQL Server Analysis Services Tabular Models. Focusing on SQL database work with a blend of strong technical and communication skills. Demonstrating ability to learn and navigate in large complex environments. Exhibiting Excel acumen to develop complex spreadsheets, formulas, create macros, and understand VBA code within the modules. Required Skills: Experience with MS SQL Proficiency in Python Desired Skills: Experience with SharePoint Advanced Excel Skills (formulas, VBA, Power Pivot, Pivot Table)

Contract-to-Hire Columbus, OH (Hybrid) Our healthcare services client is looking for an entry-level Data Engineer to join their team. You will play a pivotal role in maintaining and improving inventory and logistics management programs. Your day-to-day work will include leveraging machine learning and open-source technologies to drive improvements in data processes. Job Responsibilities Automate key processes and enhance data quality Improve injection processes and enhance machine learning capabilities Manage substitutions and allocations to streamline product ordering Work on logistics-related data engineering tasks Build and maintain ML models for predictive analytics Interface with various customer systems Collaborate on integrating AI models into customer service Qualifications Bachelor's degree in related field 0-2 years of relevant experience Proficiency in SQL and Python Understanding of GCP/BigQuery (or any cloud experience, basic certifications a plus). Knowledge of data science concepts. Business acumen and understanding (corporate experience or internship preferred). Familiarity with Tableau Strong analytical skills Attitude for collaboration and knowledge sharing Ability to present confidently in front of leaders Why Should You Apply? You will be part of custom technical training and professional development through our Elevate Program! Start your career with a Fortune 15 company! Access to cutting-edge technologies Opportunity for career growth Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.

The Data Engineer is a technical leader and hands-on developer responsible for designing, building, and optimizing data pipelines and infrastructure to support analytics and reporting. This role will serve as the lead developer on strategic data initiatives, ensuring scalable, high-performance solutions are delivered effectively and efficiently. The ideal candidate is self-directed, thrives in a fast-paced project environment, and is comfortable making technical decisions and architectural recommendations. The ideal candidate has prior experience in modern data platforms, most notable Databricks and the “lakehouse” architecture. They will work closely with cross-functional teams, including business stakeholders, data analysts, and engineering teams, to develop data solutions that align with enterprise strategies and business goals. Experience in the financial industry is a plus, particularly in designing secure and compliant data solutions. Responsibilities: Design, build, and maintain scalable ETL/ELT pipelines for structured and unstructured data. Optimize data storage, retrieval, and processing for performance, security, and cost-efficiency. Ensure data integrity and governance by implementing robust validation, monitoring, and compliance processes. Consume and analyze data from the data pipeline to infer, predict and recommend actionable insight, which will inform operational and strategic decision making to produce better results. Empower departments and internal consumers with metrics and business intelligence to operate and direct our business, better serving our end customers. Determine technical and behavioral requirements, identify strategies as solutions, and section solutions based on resource constraints. Work with the business, process owners, and IT team members to design solutions for data and advanced analytics solutions. Perform data modeling and prepare data in databases for analysis and reporting through various analytics tools. Play a technical specialist role in championing data as a corporate asset. Provide technical expertise in collaborating with project and other IT teams, internal and external to the company. Contribute to and maintain system data standards. Research and recommend innovative, and where possible automated approaches for system data administration tasks. Identify approaches that leverage our resources and provide economies of scale. Engineer system that balances and meets performance, scalability, recoverability (including backup design), maintainability, security, high availability requirements and objectives. Skills: Databricks and related - SQL, Python, PySpark, Delta Live Tables, Data pipelines, AWS S3 object storage, Parquet/Columnar file formats, AWS Glue. Systems Analysis - The application of systems analysis techniques and procedures, including consulting with users, to determine hardware, software, platform, or system functional specifications. Time Management - Managing one's own time and the time of others. Active Listening - Giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times. Critical Thinking - Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems. Active Learning - Understanding the implications of new information for both current and future problem-solving and decision-making. Writing - Communicating effectively in writing as appropriate for the needs of the audience. Speaking - Talking to others to convey information effectively. Instructing - Teaching others how to do something. Service Orientation - Actively looking for ways to help people. Complex Problem Solving - Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions. Troubleshooting - Determining causes of operating errors and deciding what to do about it. Judgment and Decision Making - Considering the relative costs and benefits of potential actions to choose the most appropriate one. Experience and Education: High School Diploma (or GED or High School Equivalence Certificate). Associate degree or equivalent training and certification. 5+ years of experience in data engineering including SQL, data warehousing, cloud-based data platforms. Databricks experience. 2+ years Project Lead or Supervisory experience preferred. Must be legally authorized to work in the United States. We are unable to sponsor or take over sponsorship at this time.

ComResource is searching for a highly skilled Data Engineer with a background in SQL and Databricks that can handle the design and construction of scalable management systems, ensure that all data systems meet company requirements, and also research new uses for data acquisition. Requirements: Design, construct, install, test and maintain data management systems. Build high-performance algorithms, predictive models, and prototypes. Ensure that all systems meet the business/company requirements as well as industry practices. Integrate up-and-coming data management and software engineering technologies into existing data structures. Develop set processes for data mining, data modeling, and data production. Create custom software components and analytics applications. Research new uses for existing data. Employ an array of technological languages and tools to connect systems together. Recommend different ways to constantly improve data reliability and quality. Qualifications: 5+ years data quality engineering Experience with Cloud-based systems, preferably Azure Databricks and SQL Server testing Experience with ML tools and LLMs Test automation frameworks Python and SQL for data quality checks Data profiling and anomaly detection Documentation and quality metrics Healthcare data validation experience preferred Test automation and quality process development Plus: Azure Databricks Azure Cognitive Services integration Databricks Foundational model Integration Claude API implementation a plus Python and NLP frameworks (spa Cy, Hugging Face, NLTK)

Role: Procurement Analyst Duration: 12 Months Supports Procurement Consultants, Procurement Specialists, and Category Managers in the planning, execution and management of reverse auctions. Assists with sourcing document development, decision making, and preparation for reverse auctions. Essential Job Functions & Tasks: Drive cost savings, enhance supplier relationships and ensure the efficient procurement of goods and services through the strategic use of reverse auction methodologies. Communicate reverse auction data and outcomes to Procurement Consultants, Procurement Specialists and Category Managers to assess cost savings and supplier performance. Collaborate with Procurement leadership to continuously evaluate and improve reverse auction strategies and processes to optimize performance and address recurring issues. Basic Qualifications: Education: Bachelor's degree in business, accounting, finance, supply chain, or other related field; OR 4 years of relevant work experience. Experience: In addition to any experience required above, 3 years of relevant customer service and/or procurement experience required. Additional Requirements: Excellent analytical, problem-solving, and time management skills desired. Familiarity with Maximo and Cognos preferred. Excellent communication skills (written and verbal) desired with an ability to communicate with business partners, stakeholders, and suppliers.

ATTENTION MILITARY AFFILIATED JOB SEEKERS - Our organization works with partner companies to source qualified talent for their open roles. The following position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers . If you have the required skill set, education requirements, and experience, please click the submit button and follow the next steps. Unless specifically stated otherwise, this role is "On-Site" at the location detailed in the job post. The Business Data Analyst II role has a national salary range of $55,000 - $90,000. For roles within California the range is $70,304 - $90,000, Washington is $80,169 - $90,000, New York is 62,354 - $90,000 and Colorado 57,500 - $90,000. DHL Supply Chain offers multiple benefits including Medical, Dental, Vision, Prescription, Discounted Stock Purchase, and a generous PTO policy. Are you ready to turn data into decisions that drive real impact in the supply chain world? At DHL Supply Chain, we're looking for a Business Data Analyst II who thrives on solving complex problems, creating powerful visualizations, and delivering actionable insights. This is your chance to be at the heart of operations, influencing strategy and performance in a dynamic warehouse environment. If you're a curious, self-driven problem solver with a passion for analytics, innovation, and impact-this role is for you! Job Description As a Business Data Analyst II, you will play a key role in transforming operational data into strategic insights that improve performance, reduce costs, and enhance service levels. You'll collaborate with site leadership and key stakeholders across operations to develop models, dashboards, and reports that guide decision-making and drive continuous improvement. Responsibilities Develop and maintain Power BI reports to support operational and strategic decisions Full development of Power BI including data visualization and back-end data model design Clean, model, and analyze data using SQL, DAX, and statistical techniques to uncover trends and drive improvements Collaborate with site and sector leadership to identify opportunities for efficiency and cost reduction Assist various functional teams (HR, Finance, etc.) with customized analytical solutions to meet evolving business needs Translate complex data into clear, actionable insights through presentations and reports for internal and customer use Ability to leverage data from various systems that support our operations (Warehouse Management System, Timekeeping systems, etc.) Additional Qualifications/Responsibilities Required Experience Bachelor's degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years of equivalent professional experience, required 0-2 years of experience in data analytics, business intelligence, or a related field, required Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean, and transform data, preferred Proficiency in Power BI, including building dashboards and reports, required Experience writing DAX expressions to automate and enhance Power BI reports, preferred Familiarity with statistical concepts and data modeling techniques, preferred Excellent communication and presentation skills, with the ability to translate data into actionable insights, preferred Must be able to work fully onsite if role based out of a warehouse, required Our Organization has a business casual environment and focuses on teamwork, associate development, training, and continuous improvement. We offer competitive wages, excellent affordable insurance benefits (including health, dental, vision and life), 401K plan, paid vacation and holidays. Our Organization is an equal opportunity employer.

MISSION The Parallax Advanced Research Mission is to deliver innovative research and provide technology, human, and business solutions via The Science of Intelligent Teaming™ for government, industry, and academic clients with critical challenges. The Data Analytics Intern will play a key supporting role in advancing the visibility, efficiency, and impact of the OnRamp Hub's programming for the Defense Innovation Unit (DIU), Department of War (DoW) mission partners, and non-traditional industry innovators. This intern will work closely with the team to gather, analyze, and visualize data to inform strategic decision-making, optimize program operations, and enhance stakeholder engagement across various initiatives. This is an exciting opportunity for a student with interests in national security, innovation ecosystems, or dual-use technologies to gain hands-on experience in data analytics, impact evaluation, and program support within a fast-paced, dynamic, and mission-driven environment. This internship is available immediately and will run until the end of the current academic year (May 2026), with a potential to extend through the summer or fall semesters of 2026 (December 2026). ESSENTIAL DUTIES AND RESPONSIBILITIES The responsibilities of this role include, but are not limited to: Data Collection and Analysis Support • Assist in collecting, cleaning, and organizing data from a variety of sources related to OnRamp Hub programming, outreach, and stakeholder engagement. • Conduct basic data analysis to identify trends, measure performance, and generate insights to inform strategic decisions. • Support the development of dashboards, reports, and data visualizations to communicate key findings to internal and external stakeholders. Program Evaluation and Reporting • Support the tracking and evaluation of key performance indicators (KPIs) for events, programs, and partnerships. • Analyze survey responses and qualitative feedback to assess program effectiveness and identify areas for improvement. • Assist in preparing data-driven reports and presentations that summarize program impact and outcomes. Program Operations Support • Collaborate with team members on maintaining accurate and up-to-date data in internal systems and spreadsheets. • Help streamline data workflows and documentation practices to improve team efficiency and data integrity. • Provide general support for project coordination, scheduling, and administrative tasks related to analytics and program operations. • Support other duties as assigned. QUALIFICATIONS (KNOWLEDGE, SKILLS, AND ABILITIES) • Currently enrolled in a degree program in Data Science, Statistics, Computer Science, Information Systems, Business Analytics, Economics, or a related field. • Strong analytical and problem-solving skills with an interest in turning data into actionable insights. • Familiarity with data analysis tools such as Excel, SQL, Python, R, or data visualization platforms like Tableau, Power BI, or Google Data Studio. • Detail-oriented with the ability to manage and interpret quantitative and qualitative data accurately. • Excellent written and verbal communication skills, with the ability to present data clearly to both technical and non-technical audiences. • Interest or experience in program evaluation, reporting, or research in innovation, national security, or technology ecosystems is a plus. • Ability to manage multiple tasks and deadlines in a fast-paced, team-oriented environment. • Availability to work a minimum of 10 hours and up to 20 hours per week on site. • Must be a US citizen with no need for sponsorship. PHYSICAL DEMANDS AND WORK ENVIRONMENT The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. **This is an on-site role based in Columbus, OH.** The position requires: • Ability to sit, type, and participate in virtual or in-person meetings. • Occasional lifting, bending, and walking short distances. • Ability to lift and carry up to 20lbs short distances. • Strong cognitive focus and communication skills for multitasking, scheduling, and facilitation. Reasonable accommodations will be made in accordance with ADA regulations Parallax Advanced Research is an Equal Opportunity Employer, drug free workplace, and complies with ADA regulations as applicable.

Immediate need for a talented Data Solution Analyst. This is a 12+months Contract to Hire opportunity with long-term potential and is located in Columbus OH (Remote). Please review the job description below and contact me ASAP if you are interested. Job ID:25-95567 Pay Range: $47 - $48/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Requirements and Technology Experience: Key Skills; SQL, ETL & SSIS/ SSRS . The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor's degree or equivalent education, training and work-related experience . In depth knowledge of Structured Query Language (SQL) . 5+ years' experience in one or more of the following thechnologies: Informatica, SSIS, SSRS, ETL data analysis, Oracle, SQL Server . Must possess effective verbal and written communication skills . Demonstrated interpersonal skills with the ability to communicate. Our client is a leading Insurance Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Our direct client has a long-term contract need for a Sr. Data Engineer. Candidate Requirements: Candidates must be local to Columbus, Ohio Candidates must be willing and able to work the following: Hybrid schedule (3 days in office & 2 days WFH) The team is responsible for the implementation of the new Contract Management System (FIS Asset Finance) as well as the integration into the overall environment and the migration of data from the legacy contract management system to the new system. Candidate will be focused on the delivery of data migration topics to ensure that high quality data is migrated from the legacy systems to the new systems. This may involve data mapping, SQL development and other technical activities to support Data Migration objectives. Must Have Experience: Strong C# and SQL Server design and development skills. Analysis Design. IMPORTANT MUST HAVE! Strong technical analysis skills Strong collaboration skills to work effectively with cross-functional teams Exceptional ability to structure, illustrate, and communicate complex concepts clearly and effectively to diverse audiences, ensuring understanding and actionable insights. Demonstrated adaptability and problem-solving skills to navigate challenges and uncertainties in a fast-paced environment. Strong prioritization and time management skills to balance multiple projects and deadlines in a dynamic environment. In-depth knowledge of Agile methodologies and practices, with the ability to adapt and implement Agile principles in testing and delivery processes. Nice to have: ETL design and development; data mapping skills and experience; experience executing/driving technical design and implementation topics

We're seeking a skilled Data Engineer based in Columbus, OH, to support a high-impact data initiative. The ideal candidate will have hands-on experience with Python, Databricks, SQL, and version control systems, and be comfortable building and maintaining robust, scalable data solutions. Key Responsibilities Design, implement, and optimize data pipelines and workflows within Databricks. Develop and maintain data models and SQL queries for efficient ETL processes. Partner with cross-functional teams to define data requirements and deliver business-ready solutions. Use version control systems to manage code and ensure collaborative development practices. Validate and maintain data quality, accuracy, and integrity through testing and monitoring. Required Skills Proficiency in Python for data engineering and automation. Strong, practical experience with Databricks and distributed data processing. Advanced SQL skills for data manipulation and analysis. Experience with Git or similar version control tools. Strong analytical mindset and attention to detail. Preferred Qualifications Experience with cloud platforms (AWS, Azure, or GCP). Familiarity with enterprise data lake architectures and best practices. Excellent communication skills and the ability to work independently or in team environments.