Data Entry Job Description Jobs in Usa

• Pet First – Protect & Empower. All pets should Live their Best Life. We put the needs of pets and pet parents at the center of everything we do.
• Foster the Fun – Connect & Bond. Our Passion for pets brings us together! We celebrate the journey of pet parenthood through district experiences, products, and services.
• Let’s Go! Own & Commit. We are stronger as One Petco team. We bring our unique superpowers and champion authenticity in everyone to drive success.
  

• Define and execute the multi-year product strategy for Membership, Customer Data, and Loyalty platforms.
• Develop and maintain a prioritized product roadmap aligned with enterprise growth, retention, and customer lifetime value (CLV) objectives.
• Identify opportunities to leverage customer data to drive personalization, engagement, and revenue growth.
  

• Lead development and optimization of customer data capabilities, including:
  • Identity resolution and profile unification
  • Data governance and compliance (GDPR, CCPA, etc.)
  • Segmentation and audience management
  • Real-time personalization enablement
• Partner with Engineering and Data teams to evolve CDP, CRM, and marketing technology stacks.
• Ensure scalable architecture to support omnichannel retail environments.
  

• Own digital product capabilities supporting loyalty enrollment, rewards management, tiering, promotions, and engagement campaigns.
• Optimize customer lifecycle journeys from acquisition through retention.
• Develop features that enhance member value proposition and drive repeat purchase behavior.
• Measure and improve loyalty program ROI, retention rate, and lifetime value.
  

• Lead agile product teams and collaborate closely with:
  • Engineering
  • Data Science & Analytics
  • Marketing & CRM
  • eCommerce
  • Store Operations
  • Finance & Legal
• Serve as the voice of the customer and translate business objectives into clear product requirements.
• Align stakeholders around KPIs and measurable outcomes.
  

• Define success metrics and KPIs (CLV, retention, engagement, incremental revenue, NPS).
• Use data and experimentation (A/B testing, cohort analysis) to drive product decisions.
• Build executive-level reporting and business cases for investment prioritization.
  

• 5+ years of product management experience, with 3+ years in digital product leadership.
• Deep expertise in customer data management, CDPs, CRM systems, and loyalty platforms.
• Experience in retail, specialty retail, consumer brands, or omnichannel environments.
• Proven track record of delivering data-driven personalization initiatives.
• Strong understanding of privacy regulations and data governance frameworks.
• Experience leading agile product teams and influencing cross-functional stakeholders.
• Demonstrated ability to manage complex platform integrations and enterprise-scale systems.
  

• Experience working in a multi-billion-dollar retail organization.
• Background in subscription or membership-based business models.
• Familiarity with leading CDP and CRM ecosystems (e.g., Salesforce, Adobe, Tealium, etc.).
• MBA or advanced degree in business, technology, or related field.
  

• Strategic thinker with strong commercial acumen
• Data-driven decision maker
• Influential communicator with executive presence
• Customer-obsessed mindset
• Bias for action and measurable impact
• Ability to operate in fast-paced, matrixed organizations
  

Hi ,

This is Vamshi ,from Software Technology We have a job opening with our client for position DBA/DATA Architect If you are available and looking for any new opportunities, please send me your updated resume for below position ASAP.

Job Title: DBA/DATA Architect

Location: Denver, CO (Hybrid 3 days work form office)

Duration: Full Time/Longterm Contract

Must have skills: Architect level good; but should be hands-on with proactive driver mindset (individual contributor; no team management responsibility)

Skills To Be Evaluated On

Azure Data Factory, MS SQL Server DBA, Performance Tuning, Data Pipeline, Data Management

Technical Skills

• Azure Data Factory, Azure Data Lake Storage (ADLS), Azure Databricks, Azure SQL Database.
• Strong SQL, Python, Scala, and PySpark.
• Experience in building data models and schema design.
• Experience with SSIS
• Oracle DB experience would be a Plus

Roles & Responsibilities

• Design, build, and optimize data pipelines and ETL processes using Azure Data Factory and Databricks.
• Manage Azure SQL Database, including performance tuning, indexing, and query optimization.
• Design scalable data solutions, data lakes (ADLS), and data warehousing solutions.
• Ensure data security, quality, and integrity throughout the lifecycle.
• Monitor data pipelines and resolve performance issues or failures.
• Work with data scientists and analysts to support data-driven decision-making.

Thanks,

Vamshi Thangadpalli

Technical Recruiter

Email: | Web: :// Overlook Center, Suite 200

Princeton, NJ 08540.

Job Overview:

We are seeking a Data Engineer to support data pipeline development and ETL processes.

Responsibilities:

Build and maintain ETL pipelines

Optimize database performance

Work with structured and unstructured data

Ensure data integrity

Requirements:

Degree in Data Engineering or related field

Knowledge of SQL, Python

Familiarity with data warehousing concepts

*U.S. citizenship and residency in the Atlanta area are required*

OneSparQ is looking for a Product Data Analyst to contribute to a growing wholesale distributor in Atlanta, GA.

Required Skills:

• Bachelors degree in information systems, Business Administration, Supply Chain or related field
• 3–5 years of experience working with product data, ideally within wholesale distribution, manufacturing, or consumer products environments
• Working knowledge and experience with enterprise-grade PIM Platforms (EnterWorks Preferred)
• Data governance, GS1 standards knowledge, and data analytics
• Proficiency in Microsoft Excel
• Working knowledge of SQL, data querying, and database extraction techniques

Additional Skills: (not required)

• ERP system knowledge (SAP, Oracle, Infor)
• Power BI Experience

Responsibilities:

• Manage and maintain product data within the Product Information Management (PIM) system, including product records, attributes, categories, and digital assets
• Oversee the full lifecycle of product data, from product onboarding and enrichment to discontinuation
• Collaborate with IT, Merchandising, Marketing, and Supply Chain teams to ensure product data is accurate, complete, and launch-ready
• Support PIM system workflows, integrations, and testing to ensure smooth data management across internal systems
• Maintain product data standards and conduct regular audits to ensure consistency, accuracy, and compliance
• Create and manage product content including titles, descriptions, specifications, and marketing details
• Coordinate the publication and distribution of product information to internal systems, eCommerce platforms, and external marketplaces
• Build and maintain reporting dashboards to track data quality, completeness, and vendor compliance
• Work with vendors and internal teams to resolve data issues and ensure proper product data submissions
• Provide training and support to internal teams on PIM tools, processes, and data standards

Job Summary for Azure Data Engineer:

We are seeking a Senior Data Engineer to join a dynamic data team focused on building and modernizing enterprise data platforms. This role combines hands-on engineering, platform support, and forward-looking architecture design, with an emphasis on mentoring junior team members and driving best practices.

Job Qualifications and Responsibilities for Azure Data Engineer:

Key Responsibilities

• Design, develop, and maintain scalable data warehouse and lakehouse architectures
• Implement and optimize Medallion Architecture (Bronze, Silver, Gold layers)
• Build robust data pipelines using Python as a primary language
• Ensure data observability, quality checks, and governance using modern tools
• Support existing data platform (currently on Microsoft Fabric) – ~50% of role
• Contribute to platform modernization strategy, evaluating and potentially implementing solutions like Databricks or Snowflake – ~50% of role
• Develop and maintain data catalogs and metadata management frameworks
• Collaborate with cross-functional teams to understand and deliver on data requirements
• Mentor junior engineers and promote engineering best practices

Required Qualifications

• Strong experience in:
• Data Warehousing concepts
• Lakehouse architecture
• Medallion Architecture
• Data Observability & Data Quality frameworks
• Data Cataloging tools and practices
• Proficiency in Python (primary development language)
• Hands-on experience with cloud platforms (Azure preferred; AWS acceptable with willingness to quickly learn Azure)
• Strong problem-solving and analytical skills
• Excellent communication and interpersonal skills

**Candidate must be willing to go into office 3 days a week**

Senior Full-Stack AI & Data Engineer – Contract

RBA is an established leader and trusted partner for enterprise and mid-size organizations seeking to transform their business through technology solutions. As a Digital and Technology consultancy, we combine strategic insight with technical expertise to deliver impactful, scalable solutions that align with business goals. We take pride in working with some of the most recognized companies in our market—while fostering a culture that blends challenging career opportunities with a collaborative, fun work environment.

We are seeking a Senior Full-Stack AI & Data Engineer to join our growing Data & AI practice, supporting a high-impact client. In this role, you will lead the design and development of end-to-end AI-powered applications that drive personalization, predictive analytics, and next-generation digital experiences.

You’ll partner with business stakeholders, product teams, and engineers to build production-grade AI solutions—from data pipelines and model development to APIs and user-facing applications. The ideal candidate brings deep expertise across the full stack, modern data platforms, and generative AI technologies, with a passion for solving complex business challenges through innovative solutions.

Responsibilities

• Design and develop end-to-end AI-powered applications, including backend APIs and user-facing interfaces, to enable scalable and intuitive AI solutions.
• Build and maintain robust APIs using technologies such as Node.js, NestJS, or FastAPI, and develop modern web applications using React or similar frameworks.
• Develop, fine-tune, and deploy machine learning models using frameworks such as PyTorch and Scikit-learn.
• Implement advanced generative AI solutions, including Retrieval-Augmented Generation (RAG) pipelines and multi-modal AI applications.
• Design and build agentic AI systems using frameworks such as LangChain, enabling multi-step reasoning, tool use, and automation.
• Architect and optimize end-to-end data pipelines (ETL/ELT) using Python, SQL, and orchestration tools such as Airflow.
• Manage and integrate data workflows within Snowflake, leveraging technologies such as Snowpark or Cortex.
• Implement monitoring and observability for AI systems, including tracking model performance, drift, latency, and reliability.
• Design and deploy cloud-native solutions using Docker, Kubernetes, and CI/CD pipelines across AWS, Azure, or GCP.
• Collaborate with business stakeholders to translate data into actionable insights and intelligent applications.
• Contribute to DevOps best practices, including infrastructure-as-code (Terraform) and automated testing.
• Mentor junior engineers and promote best practices in AI ethics, data governance, and code quality.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 5+ years of experience across full-stack development, including backend (Node.js/Python) and frontend frameworks (React or similar).
• Strong experience designing and building data pipelines and modern data platforms, including expertise in SQL and data modeling.
• Proven experience deploying AI/ML solutions in production environments, including MLOps and model lifecycle management.
• Hands-on experience with generative AI technologies, including LLMs, prompt engineering, and RAG architectures.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Strong understanding of DevOps practices, including CI/CD, containerization, and infrastructure-as-code (Terraform).
• Excellent communication skills and ability to work effectively in client-facing environments.

Preferred Qualifications

• Experience with Snowflake, including Snowpark, Cortex, or similar data platform capabilities.
• Experience building agent-based AI systems or working with frameworks such as LangChain.
• Familiarity with vector databases and semantic search architectures.
• Experience developing mobile applications using React Native or Flutter.
• Knowledge of mobile architecture, UI/UX principles, and API integration patterns.
• Experience deploying applications to Apple App Store or Google Play Store.
• Familiarity with security and authentication protocols, including OAuth2, biometric authentication, and secure data handling.
• Cloud or data platform certifications (AWS, Azure, GCP, Snowflake, or similar).

Leadership & Culture

• Demonstrate leadership through mentorship, technical guidance, and promoting engineering best practices.
• Balance innovation with pragmatism—able to work across cutting-edge AI solutions and foundational data engineering tasks.
• Thrive in a collaborative, fast-paced consulting environment with a strong focus on client impact and delivery excellence.

Job title: Data Protection Specialist (Microsoft Purview)

Job location: Philadelphia, PA ( hybrid- 2 days onsite)

Job type: Full time

One of the largest healthcare is seeking a Data Protection Specialist (Microsoft Purview). The Data Protection Specialist will be responsible to design, implement, and manage the organization’s data governance, information protection, and compliance capabilities across Microsoft 365. This role will serve as a hands-on technical lead for the Microsoft Purview platform, responsible for protecting sensitive data, enabling regulatory compliance, and responding to data risks across the enterprise.

The ideal candidate has deep practical experience with Microsoft Purview (formerly Microsoft 365 Compliance) and is comfortable working cross‑functionally with Security, IT, Legal, Compliance, and business stakeholders. This role requires both strategic design and day‑to‑day operational execution.

Job Duties

Microsoft Purview Strategy & Implementation

• Design, implement, and manage Microsoft Purview capabilities, including:
• Microsoft Information Protection (MIP) – sensitivity labels, label policies, auto‑labeling, encryption, and rights management
• Data Loss Prevention (DLP) – policies for email, SharePoint, OneDrive, Teams, endpoints, and third‑party applications
• Data Lifecycle Management & Records Management – retention labels, retention policies, and defensible disposal
• Insider Risk Management – risk indicators, policies, alerts, and investigation workflows
• eDiscovery & Audit – content searches, legal holds, audit log investigations, and evidence collection
• Integrate Purview controls across Microsoft 365 workloads including Exchange Online, SharePoint Online, OneDrive, Teams, Defender, and hybrid environments where applicable
• Serve as the technical subject‑matter expert and platform owner for Microsoft Purview

Data Classification & Governance

• Develop and maintain an enterprise data classification framework aligned with business needs and regulatory requirements
• Partner with business units to identify and protect sensitive data such as PII, PHI, financial data, and intellectual property
• Implement scalable data discovery using built‑in classifiers, trainable classifiers, and auto‑classification policies
• Ensure data protection controls are effective while maintaining usability and business productivity
• Generative AI and Agentic AI Governance

Compliance, Risk & Incident Response

• Translate regulatory requirements (GDPR, HIPAA, HITRUST and industry‑specific regulations) into enforceable technical controls
• Monitor compliance posture using Microsoft Compliance Manager and recommend remediation actions
• Investigate and respond to DLP incidents, insider risk alerts, and policy violations
• Support internal and external audits by producing audit logs, reports, and compliance evidence
• Collaborate with Legal, Compliance, HR, and Security teams during investigations and regulatory inquiries

Automation & Operational Excellence

• Use PowerShell to automate Purview configuration, reporting, and operational tasks
• Continuously tune and improve policies to reduce false positives and improve signal quality
• Develop documentation, runbooks, and operational procedures to support ongoing governance and incident response

Minimum Qualifications

• 7-10 years preferred work experience.
• 5 years related work experience
• Hands‑on experience designing and managing Microsoft Purview in a production enterprise environment
• Experience implementing and managing:
• Sensitivity labels and encryption
• DLP policies across cloud, endpoint, and SaaS applications
• Retention and records management policies
• Insider Risk Management and alert investigations
• eDiscovery (Standard and/or Premium) and audit logging

Preferred Qualifications

• Proficiency with PowerShell for automation and reporting
• Experience in highly regulated industries (e.g., healthcare, financial services, government)
• Experience integrating Purview with third‑party security or governance tools
• Prior ownership of enterprise DLP or information protection programs
• Experience implementing and managing DSPM for AI

LHH Recruitment Solutions has partnered with a growing organization, and they are seeking a motivated Manufacturing Data & Sales Analyst to join their team. Seeking a data-driven analytics professional who thrives at the intersection of manufacturing operations, business intelligence, and executive decision support. This is a high-impact role for someone who enjoys building insight from the ground up—designing dashboards, automating reporting, owning data integrity, and translating complex information into clear, actionable business outcomes.

Why This Role Stands Out:

• High visibility and direct partnership with senior leadership.
• Opportunity to own and evolve enterprise-level analytics and reporting.
• Manufacturing environment where data truly drives strategy.
• Long-term growth potential in a stable, well-capitalized organization.

Key Responsibilities:

Data, Analytics & Reporting:

• Design, build, and continuously enhance dashboards, scorecards, and KPI reporting to support operational and commercial performance.
• Translate raw data into meaningful insights that influence decision-making at the executive level.
• Automate recurring reports and analytics processes to improve efficiency, accuracy, and scalability.
• Analyze trends related to revenue, production performance, forecasting, and product initiatives.

Manufacturing & Cross-Functional Partnership:

• Collaborate closely with Operations, Finance, IT, and Commercial teams to align data, metrics, and performance goals.
• Support forecasting, planning cycles, and performance reviews with reliable, actionable analytics.
• Identify risks, opportunities, and performance gaps within data sets and recommend solutions.

Systems & Data Ownership:

• Act as the primary owner of manufacturing and sales-related data systems, ensuring usability, accuracy, and value.
• Lead continuous improvement of reporting tools and system integrations.
• Partner with internal and external stakeholders to enhance system reporting capabilities.
• Champion data governance, consistency, and best practices across the organization.

Qualifications and Skills:

• Bachelor’s Degree in Data Science, Analytics, Business Intelligence, or a related field
• Proven experience building and maintaining dashboards, scorecards, and analytics tools.
• Background supporting a manufacturing environment.
• Strong ability to own data end-to-end—from extraction to interpretation to executive presentation.
• Experience automating reporting and analytics processes.
• Advanced analytical, problem-solving, and critical-thinking skills.
• Ability to clearly communicate insights to both technical and non-technical audiences.
• Advanced proficiency with Excel, reporting platforms, and Microsoft Office Suite.
• Advanced proficiency in SQL, PowerBI, and/or Tableau.
• Experience with IQMS is preferred.
• Strategic mindset with exceptional attention to detail.

Compensation Range: $90,000 - $120,000 + 15% Bonus

Benefits Offered: 2 weeks of vacation, paid sick leave where applicable by state law, Medical Insurance, Dental Insurance Vision Insurance, 401K, and Life Insurance.

If you are a passionate Manufacturing Data & Sales Analystlooking for anew and rewarding career, please apply today! You don’t want to miss out on this opportunity!

LHH is a leader in permanent recruitment—and in the placement of top talent. Our areas of specialty include office administration, customer service, human resources, engineering, and supply chain and logistics. Please feel to check us out and apply for other opportunities if this role isn’t a perfect match.

Equal Opportunity Employer/Veterans/Disabled

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit

Hybrid Onsite Schedule In office T, W, Th; Remote M, F

Job Description: Data Analyst – Global Patient Access Program (GPAP)

Location: North Chicago, IL, USA (Hybrid eligible), AP30

Overview: The Data Analyst for the Patient Assistance Program (PAP), supporting GPAP’s data transformation and governance, will be instrumental in building and maintaining the backbone of automated reporting and KPI dashboards. This role ensures a single source of truth for GPAP operations, drives analytics innovation, and supports the integration and consistency of data across the program. You’ll collaborate closely with workstream leaders, lead in bi-weekly scrum sessions, and deliver insight-rich, timely outputs for senior leadership.

Key Responsibilities:

• Develop, automate, and maintain standardized PAP reporting, KPI dashboards, and ad hoc analytics tools using Tableau, Excel, and Snowflake.

• Lead twice-weekly Scrum sessions with workstream team members, ensuring progression of data tasks, intake of new data requests, and alignment on analytics approaches in a Smart Sheet-driven, agile environment.

• Ensure data consistency, quality, and accuracy across all platforms, supporting GPAP governance and the creation/control of the 'source of truth.'

• Enable and facilitate self-service dashboards and reporting marts for internal and external stakeholders.

• Collaborate with cross-functional partners (BTS, ACA, GPAP, Steer Co) to support program data needs, forecasting, and reporting methodologies.

• Support quarterly and weekly reporting processes—including application, shipment, and claim-level analytics.

• Partners with data lead to document extraction methods, automate/accelerate reporting, and track program impacts, escalations, and business intelligence.

• Identify new opportunities for advanced analytics or insights to increase PAP operational efficiency and program sustainability.

Qualifications:

• Bachelors in a relevant field (Analytics, IT, Business, Data Science, or related)

• 3-5 years’ experience in data analytics, reporting, or business intelligence in healthcare, pharma, or related industry

• Advanced proficiency in Tableau and Excel; experience with Smart Sheet and Snowflake (SQL skills required)

• Demonstrated experience leading agile meetings (scrum/project management preferred)

• Strong attention to detail, data integrity, and quality control

• Experience in KPI development, dashboard design, and self-service reporting

• Effective communicator with ability to drive cross-team consensus and present findings to varied audiences

• Collaborative mindset, able to work in fast-paced, matrixed environments

• In office Tues, Wed, Thurs

Preferred:

• Experience in patient assistance programs or US healthcare market access

• Familiarity with organizational data governance or compliance requirements

Be part of a team unlocking strategic impact through advanced analytics, automation, and insight-driven transformation. Shape the way data informs patients’ access and program value across a global organization while enjoying professional growth in a supportive, inclusive culture.

Company Description

Spiras Health delivers personalized healthcare services at home, focusing on patients at high risk of emergency events or hospitalizations. By addressing the unique needs of individuals with chronic diseases, multiple health conditions, and other social determinants of health, Spiras Health enhances quality of life and reduces healthcare costs. Through collaboration with health plan providers and care management teams, the company employs local Clinical Care Teams to deliver tailored home-based care. Leveraging innovative technology, Spiras Health ensures efficient and effective program delivery. For more information, visit .

Who We Are:  Excellence, Innovation, Passion, Compassion, Communication

Spiras Health is a value-based, nurse practitioner led clinical provider of care-at-home and other health-related services to individuals with complex and polychronic needs. Spiras’ comprehensive approach to care delivery includes a combination of home-based services, telehealth, two-way digital communications, and remote patient monitoring. Proprietary predictive modeling identifies and assesses individuals with an elevated probability of avoidable costs. Spiras Health then develops actionable plans of care, addresses barriers including social determinants of health and delivers high quality patient care in collaboration with the patient’s treating physicians. Spiras’ innovative multi-modal care approach delivers improved satisfaction and clinical metrics as well as financial savings to its partners, through a geographically and economically scalable delivery model. Our culture is anchored on a promise of full accountability and integrity in everything we do.

How We Serve:

The Senior Data Analyst, in partnership with the Chief Financial Officer and Chief Commercial Officer, will design and develop market and opportunity analysis, monitor and measure contract performance, and model operational strategies and initiatives. Additionally, this role offers opportunity to engage with senior management and business unit leaders, contributing key insights that inform strategic decision making that ultimately supports the company’s growth.

Job Summary:

The Sr Analyst - Data & Analytics owns the integrity, analysis, and interpretation of payer claims data to support performance measurement, utilization management, and value-based care initiatives. This role is hands-on and accountable for claims QA, utilization metrics, and analytics outputs used by clinical, operations, and executive stakeholders.

This is an individual contributor role with strong technical depth in payer claims data and healthcare analytics platforms, including MedeAnalytics.

Key Responsibilities

Claims Data Quality & Governance

• Own QA processes for medical and pharmacy claims data, including eligibility, provider, diagnosis, procedure, and financial fields
• Identify, quantify, and resolve data anomalies (e.g., lag, duplication, missing claims, inconsistent coding)
• Partner with data engineering, vendors, and payers to remediate data quality issues
• Define and maintain claims data validation rules and documentation

Analytics & Utilization Management

• Analyze and report on core utilization metrics, including:
• Inpatient admits / 1,000
• ED visits / 1,000
• Readmissions
• PMPM cost trends
• Length of stay
• Avoidable admissions
• Apply payer benchmarks (national, regional, risk-adjusted where applicable) to contextualize performance
• Support matched cohort, pre/post, and trend analyses
• Translate claims data into actionable insights for clinical and operations teams

Platform Ownership (MedeAnalytics)

• Serve as a power user and analytics owner of the MedeAnalytics platform
• Build, validate, and QA dashboards, reports, and analytic views
• Ensure alignment between platform outputs and internal data models
• Act as internal SME for MedeAnalytics capabilities and limitations

Stakeholder & Team Collaboration

• Partner closely with:
• Clinical leadership
• Operations
• Finance
• Growth
• Present findings to senior leadership in clear, non-technical language

Required Qualifications

• 5–8 years of healthcare analytics experience
• Deep experience working with payer medical and pharmacy claims data
• Strong understanding of utilization metrics and healthcare cost drivers
• Hands-on experience with MedeAnalytics (required)
• Advanced SQL/SAS skills; experience with data visualization tools (Tableau, Power BI, or equivalent)
• Proven ability to QA complex healthcare datasets
• Bachelor’s degree in Analytics, Statistics, Health Informatics, or related field

Preferred Qualifications

• Experience supporting value-based care, MA, D-SNP, or ACO programs
• Familiarity with HEDIS, Stars, or CMS reporting concepts
• Experience with risk adjustment (HCCs)

Physical Requirements:

• Prolonged periods of sitting at a desk and working on a computer.
• This job operates in a hybrid professional environment free from noise and distraction. This role routinely uses standard office equipment such as computers and phones.
• The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. 
• Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. 
• While performing the duties of this job, the employee is regularly required to talk and hear.
• This position requires the ability to occasionally lift office products and supplies, up to twenty pounds.

EEOC STATEMENT:  

• All qualified candidates will receive consideration for employment without regard to age, race, color, national origin, gender (including pregnancy, childbirth or medical conditions related to pregnancy or childbirth), gender identity or expression, religion, physical or mental disability, medical condition, legally protected genetic information, marital status, veteran status, or sexual orientation.