Data analyst jobs in Westerville, OH

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

*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 **********************************!

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)

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)

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.

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.

Immediate need for a talented Senior Data Engineer. This is a 06+ 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: 25-95277 Pay Range: $70 - $71 /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 Responsibilities: Working with Marketing data partners and build data pipelines to automate the data feeds from the partners to internal systems on Snowflake. Working with Data Analysts to understand their data needs and prepare the datasets for analytics. Work with Data Scientists to build the infrastructure to deploy the models, monitor the performance, and build the necessary audit infrastructure. Key Requirements and Technology Experience: Key skills; Snowflake, Python and AWS Experience with building data pipelines, data pipeline infrastructure and related tools and environments used in analytics and data science (ex: Python, Unix) Experience in developing analytic workloads with AWS Services, S3, Simple Queue Service (SQS), Simple Notification Service (SNS), Lambda, EC2, ECR and Secrets Manager. Strong proficiency in Python, SQL, Linux/Unix shell scripting, GitHub Actions or Docker, Terraform or CloudFormation, and Snowflake. Order of Importance: Terraform, Docker, GitHub Actions OR Jenkins Experience with orchestration tools such as Prefect, DBT, or Airflow. Experience automating data ingestion, processing, and reporting/monitoring. Experience with other relevant tools used in data engineering (e.g., SQL, GIT, etc.) Ability to set up environments (Dev, QA, and Prod) using GitHub repo and GitHub rules/methodologies; how to maintain (via SQL coding and proper versioning) 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.

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)

Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, or Java. Proficiency with Azure data services, such as Azure Data Lake, Azure Data Factory and Databricks. Expertise using Cloud Security (i.e., Active Directory, network security groups, and encryption services). Proficient in Python for developing and maintaining data solutions. Experience with optimizing or managing technology costs. Ability to build and maintain a data architecture supporting both real-time and batch processing. Ability to implement industry standard programming techniques by mastering advanced fundamental concepts, practices, and procedures, and having the ability to analyze and solve problems in existing systems. Expertise with unit testing, integration testing and performance/stress testing. Database management skills and understanding of legacy and contemporary data modeling and system architecture. Demonstrated leadership skills, team spirit, and the ability to work cooperatively and creatively across an organization Experience on teams leveraging Lean or Agile frameworks.

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)

WHO WE ARE Based in Plain City, Ohio, Select Sires Inc. is committed to enhancing the productivity and profitability of dairy and beef producers. Highly fertile semen and genetic consultation are provided by three farmer-owned and -controlled cooperatives domestically, while World Wide Sires, Ltd. delivers international service. As the industry leader, Select Sires Inc. supplies farmers and ranchers with the world's best genetics, services and programs. SELECT SIRES, INC MISSION With the highest integrity, maximize the productivity, profitability, and sustainability of livestock producers who feed the world. SELECT SIRES, INC. CORE VALUES Integrity | Dedication | Respect | Innovation Select Sires, Inc. is currently seeking candidates to join our team as a Dairy Data Analyst. This salaried, exempt position is at our Plain City, OH facility and reports to the Associate Vice President of Data Services. Specific duties and responsibilities of a Dairy Data Analyst include, but are not limited to, Serve as a positive representation of the Select Sires, Inc. Mission and Core Values. Analyze farm management data housed in the Select Data Lakehouse to generate reports and insights that support bull selection, sire development, and dairy farm advisement. Serve as a resource for dairy data management including: Data cleansing, translation, validation, processing and integrity maintenance Identifying improvements for future data systems and workflows Lead or contribute to data analysis projects such as: Tracking semen-use and generating insights related to sire development Monitoring daughter performance across dairy bulls Developing new herd-management reports for Trusted Advisors Conducting ad hoc analytics using herd management systems and data Support research and development efforts related to Select Sires initiatives, such as Herd Health Profit $, slick genetics, and enhancements to genetic marketing designations. Assist with dairy data projects and integrations involving major dairy herd management systems and related data streams. This person may also work with the Beef Data Analyst, IT and other data and R&D related roles. Typical office hours are Monday through Friday, 8:00 AM -4:30 PM EST. Work schedules and duties are subject to change to meet departmental needs. COMMITMENT TO EMPLOYEE GROWTH AND SUCCESS Select Sires is a team-oriented atmosphere, encouraging employees to take greater responsibility for their careers to grow personally and professionally. Select Sires offers employees competitive compensation packages that include flexible benefits, Professional development through mentoring and internal and external training, Advancement opportunities through career planning, A culture instilled by a commitment to excellence, a passion for customer success, and high ethical standards, A focus that includes work/life balance, Community-oriented mindset as a major contributor to local organizations and events Requirements REQUIRED SKILLS AND ABILITIES OF A DAIRY DATA ANALYST: • Required: Proficiency with statistical software such as R, SAS, JMP, or similar • Minimum of 2 years of relevant experience in genetics, research and/or statistical analysis preferred • Working knowledge of dairy herd management systems and dairy production operations is important • Proficiency in Microsoft Office (Word, Excel, PowerPoint) • Strong analytical thinking, creative problem-solving, and ability to customize insights for internal and external audiences • Demonstrated attention to detail, strong organizational skills, and the ability to manage multiple priorities • Self-motivated with a willingness to learn SQL, Power BI, additional dairy farm management and data platforms, and how to potentially apply artificial intelligence • Excellent written and verbal communication skills REQUIRED EDUCATION AND EXPERIENCE OF A DAIRY DATA ANALYST: • Required: Master's degree (or equivalent experience) in Animal Science, Quantitative Genetics, Data Science, or related discipline PHYSICAL REQUIREMENTS OF A DAIRY DATA ANALYST: • Seldomly (0-1 hour) climb stairs, squat/kneel, twist, bend/stoop floor lift (0-17”) or carry up to 20 lbs. • Occasionally (1-3 hours) stand/walk • Constantly (6-8 hours) sit DISCLAIMER The job description is not intended to cover or describe all tasks, duties, and responsibilities the employee may be required to be asked to perform. Select Sires retains the right to change or add new tasks, duties, and responsibilities to the employee at any time, with or without notice. WORK AUTHORIZATION Evidence of work authorization upon employment is required in compliance with the Immigration Reform and Control Act of 1986. Completion of USCIS form I-9 will be required to verify employment eligibility within three business days of the first day of employment. AAP/EEO STATEMENT Select Sires, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, Select Sires, Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location where the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Select Sires, Inc. expressly prohibits workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Select Sires, Inc.'s employees to perform their job duties may result in discipline up to and including termination. Learn more and apply ***************************

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.) 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 is an equal opportunity employer. ","title

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.

Reporting to the Marketing Director, the Market Data Analyst is responsible for gathering, analyzing, and interpreting market trends, customer behavior, and competitors' activities to drive informed strategic decision-making, resulting in improved performance. This position is essential to shaping how we uncover growth opportunities, measure marketing effectiveness, and craft product positioning strategy within the infrastructure safety industry. The ideal candidate is a proactive, analytical thinker who can transform complex data into actionable insights that support business growth. Key Responsibilities: Market Research Conduct comprehensive market research to identify trends, emerging opportunities, competitors' activities, and areas for strategic growth. Prepare and present reports based on market analysis and sales performance. Analyze research data to provide actionable insights and recommendations. Marketing Campaign Based on market research, recommend strategic marketing communication plans including social media strategy, participation in tradeshows and other industry events. Work with marketing vendors and develop marketing communication material. Continue to monitor and measure the impact of the marketing campaign and revise as necessary to increase the marketing ROI. Data Analysis & Customer Insights Leverage platforms such as HubSpot and Google Analytics to track and analyze customer interactions. Analyze historical sales data by product group, customers, geography and other criteria. Uncover behavioral patterns, product preferences, and engagement drivers through in-depth data analysis. Perform segmentation analysis to refine audience targeting and messaging Market & Competitive Intelligence Develop and deliver reports on industry trends, competitor positioning, and market dynamics. Develop and maintain a deep understanding of industry knowledge and trends. Assist in measuring brand awareness, customer satisfaction, and market penetration. Partner with sales and business development to align market insights with go-to-market strategy. Collaboration & Reporting Communicate complex data findings clearly and effectively to cross-functional stakeholders. Collaborate with the Sales and Marketing team to develop and implement effective sales strategies. Support testing strategies, survey analysis, and attribution modeling to refine marketing tactics. Qualifications and Requirements: Bachelor's degree in Marketing, Finance, Data Analytics, Business, or a related field. 2-4 years of experience in a market analysis, sales, or data-focused role. Strong proficiency in Excel and data visualization tools (Power BI, Tableau, or similar) Experience with HubSpot, Google Analytics, and CRM systems. Working knowledge of SQL or other data query languages a plus Ability to interpret complex data sets and translate into actionable insights Strong communication and presentation skills Self-motivated, detail-oriented, and able to manage multiple projects with competing deadlines What We Offer: Competitive compensation Health, dental, vision, short & long-term disability, and life insurance options 401(k) with company match Paid time off and holidays Supportive and team-oriented work environment About Hill & Smith: Hill & Smith, Inc. is an industry-leading manufacturer of highway safety products, software, and services committed to protecting the traveling public and enhancing infrastructure safety. Headquartered in Columbus, Ohio, we are a member of the HS Roads & Security division of Hill & Smith Holdings PLC, based in Birmingham, England and publicly traded on the London Stock Exchange. Our worldwide Group Purpose is to "Create sustainable infrastructure and safe transport through innovation." Hill & Smith, Inc. operates four manufacturing facilities in the US and sells a wide array of transportation safety products around the world. Our products include roadside safety hardware (steel barriers and attenuators), work zone safety products (arrow boards, message boards, and speed trailers), and ITS smart work zone solutions (roadside data collection equipment and software). Our purpose is to design and deliver innovative solutions to protect the traveling public and road workers by making transportation safer, smarter, and more sustainable. Our Core Values: At Hill & Smith, our values guide everything we do: * Safety - Safety is everyone's responsibility. * Trust and Respect - We build trust through responsible actions and honest relationships. We value everyone and treat people with dignity and professionalism. * Urgency - We act promptly and with the intention to make things happen efficiently and effectively. * Collaboration - We work hand in hand to achieve our goals. * Accountability - Each of us is responsible for our words, our actions, and our results. * Forward Thinking - We always look ahead and plan for what could happen. We aren't afraid of taking risks, and we are always willing to learn and grow. We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

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.

US Tech Solutions is a global staff augmentation firm providing a wide-range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit our website ************************ We are constantly on the lookout for professionals to fulfill the staffing needs of our clients, sets the correct expectation and thus becomes an accelerator in the mutual growth of the individual and the organization as well. Keeping the same intent in mind, we would like you to consider the job opening with US Tech Solutions that fits your expertise and skillset. Job Description Scope/Responsibilities/Duties: • 0-2 years general experience, bachelor' s degree or equivalent combo of education/experience; • Some experience in desired tech area; position functions with high level of supervision; • Assesses security and/or compliance of university systems; responsible for assessing, monitoring and analyzing data, identifying security, risk or compliance issues and/or events • Leveraging job aids for common issues or incidents • Demonstrated ability to work in a team, attention to detail, solid written communications and some technology experience • To perform system based risk assessments. • Review risk assessment questionnaires, perform information security control reviews and complete documentation for submission to risk management governance committees for approval or denial. Qualifications • Review risk assessment questionnaires, perform information security control reviews and complete documentation for submission to risk management governance committees for approval or denial. Additional Information Thanks & Regards, Kushal Kumar Talent Acquisition Specialist Tel: ************

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.