Luna Data Solutions Inc Jobs in Usa

Our client, a fintech leader with amazing culture, is hiring for a contract Data Scientist (Data Science Analyst). This is a hybrid position with 3 days a week onsite in Mountain View, CA.

This role will be on the company's product data science team, working directly with stakeholders across marketing, product and finance teams to define data requirements, executing data science initiatives (customer segmentation/attribution, campaign analysis, product targeting, experimentation, predictive modeling), and generating actionable insights/recommendations. Strong skills in SQL, Python, Tableau, and ETL pipelining are required.

Contract Duration: 12 Months to Start

Responsibilities:

• Conceptualize business problems or opportunities, formulate hypotheses and goals, define key metrics, and make actionable recommendations
• Drive strategic insights for data science supporting the product ecosystem customer upgrade/attach/monetization/migration initiatives
• Working with marketing stakeholders to define requirements, execute marketing campaign analytics, and marketing attribution.
• Develop predictive models, conduct experimentation beyond A/B testing, and generate actionable customer insights that inform product innovation
• Build and apply durable customer segmentation patterns to renew product targeting, positioning, and customer experience
• Translate complex data insights into actionable recommendations for technical and non-technical stakeholders, and business leaders
• Raise craft bar for the analysts on team

Required Skills:

• Minimum of 5-7 years of experience in business analytics and data science, analyzing business/segment performance and conversion funnels
• Ability to formulate data-backed strategies that will drive step-function growth for the business as well as increase customer benefit
• Experienced in experimentation or A/B testing, marketing campaign analytics, and marketing attribution
• Practical experience constructing data pipelines and ETL utilizing SQL and Python, as well as data solutions from cloud platforms
• Strong data storytelling skills, with a proven ability to rapidly construct impactful visualization, communicate insights and influence marketing and product leadership
• Ability to generate hypotheses grounded in customer behavior, industry trends, and external market factors.
• Experience in the SaaS industry is huge. Fintech or SMB space experience is a plus.
• Demonstrated experience in building reusable and scalable analytics solutions, with a focus on efficiency and avoiding duplication of work
• Outstanding communication skills with the ability to influence decision makers and build consensus with teams
• Quick learner, adaptable, with the ability to work independently and lead the team in a fast-paced environment

The Associate Vice President (AVP) for Enrollment Data Strategy and Institutional Effectiveness is the lead data strategist for Global Enrollment Management and Student Success (GEMSS) at NYU. GEMSS is dedicated to creating and enhancing an exceptional student experience, ensuring their success from enrollment through graduation across NYU's global sites and campuses. They accomplish this by aligning their efforts with institutional goals and using data to help the university prioritize its time and financial resources, while informing strategic tuition revenue management and risk mitigation.

The AVP oversees teams responsible for data management, analytics and reporting including Institutional Research, Data Management & Governance, and Enrollment & Student Success Analytics. The AVP ensures alignment of enrollment and institutional data priorities within the university's Enterprise Information Management (EIM) framework, assesses and maintains data quality standards and process excellence, and adheres to NYU's data security and compliance protocols.

This position works alongside campus leaders to foster a collaborative culture of data knowledge and transparency to promote evidence-based decision-making for achieving enrollment and student flourishing goals, external reporting requirements, and institutional effectiveness outcomes. This inaugural and pivotal role will also work closely with GEMSS senior leaders and campus partners to implement GEMSS's data strategy, serving as custodian of NYU's authoritative data and student data domains.

Required Education: Master's Degree in a quantitative field such as Data Science, Business Analytics, Statistics, Computer Science, or a related discipline. Required Experience: 10+ years in data management, institutional research, business intelligence, and analytics, preferably within a complex higher education or large non-profit environment. Must include demonstrated experience in developing strategic data infrastructure and proven expertise in leading predictive modeling, data warehousing, and the deployment of self-service reporting tools and dashboards.

5+ years of senior-level management experience leading large, diverse data teams and integrating functions such as governance, institutional research, and business intelligence are also required. Preferred Experience: Experienced presenter and/or thought leader in relevant professional associations. Required Skills, Knowledge and Abilities: Proven expertise in leading predictive modeling, data warehousing, and the deployment of self-service reporting tools and dashboards. Exceptional strategic planning, organizational, and presentation skills, with a track record of effectively communicating complex data insights and recommendations to executive leadership.

Key Responsibilities:

Strategic Leadership, Collaboration, and Compliance:

Serve as the GEMSS representative and primary student data steward in strategic meetings with key campus partners, including the Offices of the President and Provost, Information Technology, Finance, Schools, University Life, and NYU's global campuses. In collaboration with the GEMSS Strategic Data Council, develop and implement a comprehensive strategic data plan that governs the lifecycle of student enrollment and authoritative institutional data. This includes establishing a framework for prioritizing divisional and institutional needs, improving data quality, transparency, and accessibility, fostering a data-informed culture, and ensuring adherence to NYU's compliance protocols. Lead data advocacy efforts by engaging with senior and executive leaders to provide high-level insights and recommendations that support strategic priorities for enrollment management, student success, and competitive institutional positioning. Ensure data integrity and compliance through continual assessment and monitoring of GEMSS-managed data assets to support timely interventions and adherence to NYU's data security protocols. Collaborate closely with governing bodies within GEMSS, NYU's Enterprise Information Management (EIM) framework, and other stakeholders to ensure informed, aligned, and compliant responses.

Process & Operational Excellence: Lead the development and stewardship of student data infrastructure, partnering with IT/EIM to ensure the creation and maintenance of reliable, efficient, and sustainable data systems and processes that reflect best practices. Facilitate data alignment across domains to integrate student data seamlessly with broader institutional data domains (e.g., external reporting, finance, academic planning), promoting consistency and data integrity institution-wide. Drive scalable data solutions and governance by coordinating with IT/EIM to advocate for advanced data warehousing, governance, and analytics tools. Ensure long-term sustainability and scalability of the analytics infrastructure through consistent data modeling and enforcement of governance frameworks. Optimize operational data readiness by ensuring the GEMSS operational data pipeline (marketing, admissions, financial aid, records) is optimized for analytics. Lead efforts to streamline workflows and resolve data quality issues to maintain the highest standards of integrity and reliability for timely reporting and decision support.

Data Management, Reporting & Analytics Capacity Building: Oversee the integration, management, and operational needs of GEMSS data teams (Institutional Research, Data Management & Governance, and Enrollment & Student Success Insights) ensuring strategic and functional alignment to meet divisional goals and institutional priorities. Develop advanced modeling and forecasting capabilities, including oversight of sophisticated analytic and predictive models, to inform operational and strategic planning, resource allocation, and institutional forecasting. Enhance capacity for knowledge sharing, storytelling, and evidence-based decision-making. Collaborate with teams and campus partners to co-create user-friendly platforms for internal and external data insights, visualizations, and decision support tools to monitor operational efficiencies, key performance metrics, and public-facing institutional reporting. Strengthen a data-driven culture by implementing communities of practice and other initiatives within GEMSS, collaborating on enterprise-level efforts to improve data security, accessibility, data literacy, and training. Empower stakeholders across the university to effectively engage with and apply data. Promote professional development and strong team culture among GEMSS data teams to foster a community of support, best practices, and innovation, where talent is recognized and opportunities for career growth are encouraged.

In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is USD $250,000.00 to USD $300,000.00. New York University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses, clinical compensation, or other items.

NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn /nyugreen.

NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply at all levels.

Sr. Data Engineer (Hybrid)

Chicago, IL

The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.

At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.

We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.

We have an opportunity at our corporate offices in Chicago for a Sr. Data Engineer (Hybrid) on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.

As a Sr. Data Engineer, you will play a key role in implementing
and maintaining AMA's enterprise data platform to support analytics,
interoperability, and responsible AI adoption. This role partners closely with
platform engineering, data governance, data science, IT security, and business
stakeholders to deliver highquality, reliable, and secure data products. This
role contributes to AMA's modern lakehouse architecture, optimizing data
operations, and embedding governance and quality standards into engineering
workflows. This role serves as a
senior technical contributor within the team-providing mentorship to junior
engineers and implementing engineering best practices within the data platform function,
in alignment with architectural direction set by leadership.

RESPONSIBILITIES:

Data Engineering & AI Enablement

• Build and maintain scalable data pipelines and
  ETL/ELT workflows supporting analytics, operational reporting, and AI/ML use
  cases.
• Implement best practice patterns for ingestion,
  transformation, modeling, and orchestration within a modern lakehouse
  environment (e.g., Databricks, Delta Lake, Azure Data Lake).
• Develop highperformance
  data models and curated datasets with strong attention to quality, usability,
  and interoperability; create reusable engineering components and automation.
• Collaborate with the Architecture Team, the Data
  Platform Lead, and federated IT teams to optimize storage, compute, and
  architectural patterns for performance and costefficiency.
• Build model-ready data sets and feature
  pipelines to support AI/ ML use cases; serve as a technical coordination point
  supporting business units' AI-related infrastructure needs.
• Collaborate with data scientists and AI Working
  Group to operationalize models responsibly and maintain ongoing monitoring
  signals.

Governance, Quality & Compliance

• Embed data governance, metadata standards,
  lineage tracking, and quality controls directly into engineering workflows;
  ensure technical implementation and alignment within engineering workflows.
• Work with the Data Governance Lead and business
  stakeholders to operationalize stewardship, classification, validation,
  retention, and access standards.
• Implement privacybydesign and securitybydesign
  principles, ensuring compliance with internal policies and regulatory
  obligations.
• Maintain documentation for pipelines, datasets,
  and transformations to support transparency and audit requirements.

Platform Reliability, Observability & Optimization

• Monitor and troubleshoot pipeline failures,
  performance bottlenecks, data anomalies, and platformlevel issues.
• Implement observability tooling, alerts,
  logging, and dashboards to ensure endtoend reliability.
• Support cost governance by optimizing compute
  resources, refining job schedules, and advising on efficient architecture.
• Collaborate with the Data Platform Lead on
  scaling, configuration management, CI/CD pipelines, and environment management.
• Collaborate with business units to understand
  data needs, translate them into engineering requirements, and deliver
  fit-for-purpose data solutions; share and apply best practices and emerging
  technologies within assigned initiatives.
• Work with IT Security and Legal/ Compliance to
  ensure platform and datasets meet risk and regulatory standards.
  

Staff Management

• Lead, mentor, and provide management oversight
  for staff.
• Responsible for setting objectives, evaluating
  employee performance, and fostering a collaborative team environment.
• Responsible for developing staff knowledge and
  skills to support career development.

May include other responsibilities as assigned

REQUIREMENTS:

1. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
2. 5+ years of experience in data engineering within cloud environments
3. Experience in people management preferred.
4. Demonstrated hands-on experience with modern data platforms (Databricks preferred).
5. Proficiency in Python, SQL, and data
   transformation frameworks.
6. Experience designing and operationalizing
   ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
   CI/CD processes.
7. Solid understanding of data modeling,
   structured/unstructured data patterns, and schema design.
8. Experience implementing governance and quality
   controls: metadata, lineage, validation, stewardship workflows.
9. Working knowledge of cloud architecture, IAM,
   networking, and security best practices.
10. Demonstrated ability to collaborate across
    technical and business teams.
11. Exposure to AI/ML engineering concepts, feature
    stores, model monitoring, or MLOps patterns.
12. Experience with infrastructureascode
    (Terraform, CloudFormation) or DevOps tooling.

The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.

This role is an exempt position, and the salary range for this position is $115,523.42-$150,972.44. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee's pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association's benefits offerings, please click here.

We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant's race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.

THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION

• Growth opportunities to uplevel your career
• A people-centric culture embracing and celebrating diverse perspectives, backgrounds, and experiences within our team
• Competitive compensation and comprehensive benefits focused on well-being
• An opportunity to shape the future of health care by joining a team recognized as a Best Place to Work For in the NY Capital District, one of the Best Companies to Work For in New York, and an Inclusive Workplace.

• Lead and oversee the successful execution of operational workflows and health care quality data deliverables.
• Have experience working with HEDIS, Medicare Stars, and NYSDOH QARR measures data and a good understanding of health care quality measurement.
• Conduct analysis of large data sets to support health care quality improvement initiatives, including gap analysis, process optimization, and patient engagement.
• Collaborate with cross-functional teams to design, implement, and maintain data solutions that meet the needs of stakeholders and business partners.
• Ensure the accuracy and integrity of data through the development and implementation of data quality control processes and procedures.
• Provide training and mentorship to team members to promote growth and development.
• Participate in the development of data governance policies, standards, and procedures, and ensure compliance with regulatory requirements and industry best practices.
• Present data insights and recommendations to leadership, effectively communicating complex technical information to non-technical stakeholders.
• Continuously monitor and evaluate the effectiveness of operational workflows, making recommendations for improvements and leading implementation efforts as necessary.

• Strong analytical skills, with the ability to turn data into actionable insights.
• Proficiency in SQL, Azure Databricks, data visualization tools (e.g. Tableau, PowerBI), and data manipulation tools (e.g. Alteryx, R, Python).
• Excellent verbal and written communication skills, with the ability to effectively communicate technical information to both technical and non-technical stakeholders.
• Ability to work independently and as part of a team, with strong project management skills and the ability to prioritize tasks effectively.
• Keen attention to detail.
• Subject matter expertise of healthcare industry quality metrics, Medicare Stars and HEDIS standards.

**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.

About Cygnus Professionals, Inc.

Cygnus is a Princeton, NJ-headquartered global Business IT consulting and software Services firm with offices in the USA and Asia. Cygnus offers and enables innovation and helps our clients accelerate time to market & grow their business. Over 15 years, we have taken great pride in continuing our deep relationships with our clients.

For further information about CYGNUS, please visit our website Title: Data Architect

Location: Princeton, New Jersey – Onsite

W2 Contract

Job Summary

We are seeking an experienced Data Architect to design, build, and maintain scalable data architecture solutions supporting enterprise analytics, data integration, and digital transformation initiatives. The ideal candidate will work closely with business stakeholders, data engineers, and application teams to design robust data models, data pipelines, and enterprise data platforms that support advanced analytics and reporting.

Key Responsibilities

• Design and implement enterprise data architecture frameworks and best practices.
• Develop logical and physical data models for enterprise data platforms.
• Architect data lakes, data warehouses, and data integration solutions across cloud and on-prem environments.
• Collaborate with data engineers and application teams to build scalable data pipelines and ETL/ELT processes.
• Ensure data governance, data quality, security, and compliance standards are implemented across the data ecosystem.
• Evaluate and recommend data technologies, tools, and frameworks aligned with enterprise strategy.
• Provide architectural guidance for cloud-based data platforms (AWS/Azure/GCP).
• Optimize performance for large-scale data processing and analytics workloads.
• Support business intelligence, reporting, and advanced analytics initiatives.

Required Qualifications

• 10+ years of experience in data architecture, data engineering, or enterprise data management.
• Strong experience with data modeling (conceptual, logical, physical).
• Expertise with data warehouse and data lake architectures.
• Hands-on experience with ETL/ELT tools and data integration platforms.
• Experience with SQL and large-scale data platforms (Snowflake, Redshift, BigQuery, etc.).
• Experience working with cloud data platforms (AWS, Azure, or GCP).
• Strong understanding of data governance, data quality, and metadata management.
• Experience with big data technologies (Spark, Hadoop, Kafka) is a plus.

Preferred Skills

• Experience in Healthcare, Pharmaceutical, or Life Sciences domain.
• Knowledge of Master Data Management (MDM) and data catalog tools.
• Familiarity with BI tools such as Tableau, Power BI, or Looker.
• Strong communication skills to interact with business and technical teams.

Education

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or related field.

Cygnus Belief

We believe in our commitment to diversity & inclusion.

Equal Employment Opportunity Statement

Cygnus is an Equal Opportunity Employer. We ensure that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation.

All our employment decisions are taken without looking into age, race, creed, color, religion, sex, nationality, disability status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other aspects of employment protected by federal, state, or local law. Applicants for employment in the US must have work authorization.

This role will be instrumental in leveraging data to drive strategic insights, optimize operations, and support innovation across our standards-based solutions. The ideal candidate will have a strong analytical mindset, experience with large datasets, and a passion for solving complex business problems using data.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Other duties may be assigned.

• Design, develop, and deploy predictive and prescriptive models and machine learning algorithms using Microsoft Azure ML, Power Platform, Python, and other relevant tools
• Ability to drive unified data analytics (prescriptive and predictive), and leverage tools such as Power BI, Azure Synapse, OneLake.
• Collaborate with cross-functional technology, product, and business teams to understand data needs, translate them into algorithms and analytical solutions.Need to be able to deliver solutions to production.
• Demonstrated expertise in modeling of unstructured, semi-structured and structured data.
• Analyze large datasets to uncover trends, patterns, and insights that inform business decisions
• Visualize data insights using dashboards and reports to communicate findings to stakeholders.
• Present findings and recommendations to technical and non-technical audiences
• Provide technical direction and best practices for modeling, data engineering, and analytics
• Establish good data management practices including data governance and MDM.
• Establish standards for data quality, model validation, predictive and prescriptive analytics
• Stay current with industry trends, emerging technologies, and best practices in data science and analytics.

SUPERVISORY RESPONSIBILITIES

While this position may not initially have supervisory responsibilities, this role is expected to provide technical leadership in the area of data science and data analytics. This person is also be expected to collaborate across GS1 US and lead cross-functional teams as needed.

EDUCATION and/or EXPERIENCE

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field is preferred
• 5+ years of hands-on experience with manipulating large data sets, identifying patterns, and developing inference and regression models that can be implemented. Digital supply chain and e-Commerce experience is strongly preferred
• 8+ years of programming including tools such as Power BI and languages such as Python, SPARK, SQL etc.
• Hands-on expertise in Microsoft Azure ecosystem including Azure ML, Fabric, Synapse Analytics, and Microsoft Power Platform
• Ability to lead complex projects, define analytical strategy, and mentor junior data scientists and engineers
• Data governance, security, and scalability skills
• Significant experience with supervised and/or unsupervised Machine Learning algorithms
• Experience with predictive and prescriptive analytics is a must
• NLP and Gen AI experience is preferred
• Demonstrated expertise in machine learning, deep learning and statistical modeling
• Knowledge of CI/CD pipelines for model deployment
• Familiarity with Microsoft Dynamics 365 and other business applications is a plus
• Exceptional storytelling with data and ability to translate complex data into actional insights

TRAVEL REQUIREMENTS

Up to 10%.

Description:

DEFINITION

The Citterio USA Manufacturing Data Analyst will be meticulous and detail oriented. The primary responsibility of this role is to review and analyze production data and manage inventory within our ERP system, specifically in SAP. This position requires critical thinking skills, a keen eye for detail, and the ability to interpret complex data to drive operational efficiency and decision-making.

Requirements:

ESSENTIAL FUNCTIONS OF THE POSITION

NOTE: An employee assigned to this title shall perform a majority, but may not perform all, of the duties listed in this job description. Conversely, minor level duties performed on the job may not be listed.

• Review and analyze production data to identify trends, variances, and areas for improvement.
• Generate and interpret reports on production performance, efficiency, and quality metrics.
• Provide insights and recommendation based on data analysis to support manufacturing decision-making.
• Monitor inventory levels and ensure accuracy within the SAP.
• Analyze inventory data to identify discrepancies, trends, and optimization opportunities. Analyze production data and adjust, as necessary. Make educated assumptions based off historical production data.
• Collaborate with procurement and production teams to manage inventory levels, forecast needs, and prevent shortages or overstock situations.
• Maintain and update production and inventory data within SAP. This includes entry and auditing of production orders.
• Ensure data integrity and accuracy in all SAP-related activities.
• Troubleshoot and resolve issues within SAP related to production and inventory management.
• Develop and maintain comprehensive reports and dashboards to track production and inventory performance.
• Document processes, procedures, and findings to support continuous improvement initiatives.
• Work closely with production, procurement, quality control, and finance teams to ensure alignment and data accuracy.
• Review orders to ensure labor and material costs are being tracked accurately. Verify accuracy of production consumptions and hours (yields and efficiency).
• Excellent communication and people skills with ability to listen effectively, respond appropriately and maintain mutual comfort level while relating to a diverse workforce.
• Must have good attendance.
• Other job duties or related work, as necessary.

* The duties listed above are intended only as illustrations of the distinct types of work that may be performed. The omission of specific statements of duties does not exclude them from the position if the work is similar, related or a logical assignment to the position.

KNOWLEDGE, SKILLS, AND ABILITIES

• Knowledge of ERP systems. SAP experience preferred.
• Knowledge of computers and computer software, with ability to apply this aptitude in word processing, Excel spreadsheet development, and Word document merges, and keyboarding skills.
• Advanced analytical and critical thinking skills.
• Strong attention to detail.
• Thorough knowledge of proper records management, retention of records and cataloguing of files.
• Excellent problem-solving skills with the ability to envision and deliver innovative solutions.
• High energy level, ability to multitask, establish priorities, work independently.
• Positive people skills including effective verbal and written communication.
• Ability to establish credibility and be decisive.
• Ability to maintain confidential and sensitive information which may be proprietary to Citterio USA.
• Ability to prepare and analyze comprehensive reports, conduct assignments, and administer existing and proposed programs.
• Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems.
• Ability to work in a fast-paced environment.
• Ability to communicate information and ideas in speaking so others will understand.
• Ability to establish and maintain effective working relationships with employees and managers.
• Ability to manage stressful situations.
• 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.
• Coordination Adjusting actions in relation to others' actions.
• Critical Thinking Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems.
• Ability to read, write, speak, understand, or communicate in English sufficiently to perform the duties of this position. Ability to speak Spanish is a plus.

EDUCATION AND EXPERIENCE

• Completion of a high school, or general equivalency diploma; and,
• Experience with SAP strongly preferred; and,
• Experience in Food Manufacturing experience preferred: and,
• Strong knowledge of meat processing techniques and equipment; and,
• Exceptional understanding of HACCP, GMP, and food safety regulations; and,
• Ability to speak Spanish and or Italian is a plus; and,
• Equivalent combination of education and experience.

PHYSICAL DEMANDS

• While performing the duties of this job, the employee is often sitting, but may be required to walk through the plant in search of customer information and orders and regularly talk and hear. The employee is required to use hands to finger, handle or feel objects, tools, or controls; reach with hands and arms; climb or balance; stoop, kneel, crouch, or crawl.
• The employee must occasionally lift and/or move up to fifteen (15) pounds.
• Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus.
• 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. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

WORK ENVIRONMENT

• The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
• While performing the duties of this job, the employee may occasionally enter the plant environment and be exposed to moving mechanical parts.
• The noise level in the work environment is usually quiet but can be moderate or loud when entering the plant.
• The temperature in the work environment is usually regulated; however, if in the plant, the temperature may be cool or cold.
• Employees are required to wear proper food safe, steel toe shoes, hair net and beard net, nitrile gloves, frock, bump cap, hat, and proper hearing protection while working in certain areas.

ACKNOWLEDGEMENTS

The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor.

Citterio USA is an Equal Opportunity Employer and does not discriminate based on race, ancestry, color, religion, sex, gender, age, marital status, sexual orientation, national origin, medical condition, disability, veteran status, gender identity, or any other basis protected by law.

FLSA STATUS: FLSA NON-EXEMPT OVERTIME ELIGIBLE

DESIGNATION: At Will Employee

UNION STATUS: NON-UNION

PIadc3632f1bef-31181-39905969

Required

Preferred

Job Industries

• Other