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Hays Interview Questions

Hays Interview Guides

Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.

How would you assess the validity of the result?

Experiment Validity

In an A/B test, how can you check if assignment to the various buckets was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

Random Bucketing

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

Hays Salaries by Position

Qualifications Bachelor's and 6 years of experience, or Master's/PhD degree and 4 years of experience in Statistics, Mathematics, Engineering, Computer Science, Data Science or a relevant field At least 4 years of experience with time series modelling At least 4 years of hands-on experience in several of the following areas: machine learning, statistics, optimization, regression modelling, deep learning, generative AI, causal inference, experimentation At least 4 years of development experience with Python Proficiency with statistical packages in Python (e.g., scikit-learn, NumPy, SciPy, Pandas, Statsmodels, matplotlib, and PyTorch) Proficiency with relational database concepts, SQL, and knowledge of ETL processes Proficiency with cloud technologies such as AWS, GCP, or Azure Ability to communicate clearly with technical and non-technical audiences Proficiency with version control systems (e.g., Git) Experience leading teams of other data scientists on long-term projects Demonstrated desire to learn new skills Responsibilities The Data Scientist will work closely with multiple stakeholders across the business to develop models, optimize systems, and leverage data to support tactical and strategic decisions Build and test machine learning models to support the company's platform Maintain and contribute to existing Data Science codebases and automation of existing forecast model pipeline Develop and deploy models to the company's platform that provide ongoing forecasts, optimizations, recommendations, and insights Review diagnostic and performance reports to locate and correct problems and optimize algorithms Work collaboratively with peers by actively participating in research reviews and discussions Work with Client Support and Delivery teams to communicate outcomes, changes, and new features in the company's platform Work with analytical leaders to prioritize business information and potential software improvements Lead internal and external projects and direct junior data scientists Benefits Three weeks (15 days) of Personal Time Off, which includes vacation and sick days 401K plan with a matching plan (100% match on first 3% deferred and 50% on the next 2%) A United Healthcare Plan including Medical, Dental, and Vision The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidates/applicants qualifications, skills, and level of experience as well as the geographical location of the position. The end client is unable to sponsor or transfer visas for this position; all parties authorized to work in the US without sponsorship are encouraged to apply. Our client is seeking a Sr Data Scientist in Washington, DC/ Hybrid. Role Description: The Data Science team is looking for a candidate with strong analytical and data skills to join the team. Why Hays? You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company. J-18808-Ljbffr

Qualifications Bachelor's and 6 years of experience, or Master's/PhD degree and 4 years of experience in Statistics, Mathematics, Engineering, Computer Science, Data Science or a relevant field
At least 4 years of experience with time series modelling
At least 4 years of hands-on experience in several of the following areas: machine learning, statistics, optimization, regression modelling, deep learning, generative AI, causal inference, experimentation
At least 4 years of development experience with Python
Proficiency with statistical packages in Python (e.g., scikit-learn, NumPy, SciPy, Pandas, Statsmodels, matplotlib, and PyTorch)
Proficiency with relational database concepts, SQL, and knowledge of ETL processes
Proficiency with cloud technologies such as AWS, GCP, or Azure
Ability to communicate clearly with technical and non-technical audiences
Proficiency with version control systems (e.g., Git)
Experience leading teams of other data scientists on long-term projects
Demonstrated desire to learn new skills
Responsibilities The Data Scientist will work closely with multiple stakeholders across the business to develop models, optimize systems, and leverage data to support tactical and strategic decisions
Build and test machine learning models to support the company's platform
Maintain and contribute to existing Data Science codebases and automation of existing forecast model pipeline
Develop and deploy models to the company's platform that provide ongoing forecasts, optimizations, recommendations, and insights
Review diagnostic and performance reports to locate and correct problems and optimize algorithms
Work collaboratively with peers by actively participating in research reviews and discussions
Work with Client Support and Delivery teams to communicate outcomes, changes, and new features in the company's platform
Work with analytical leaders to prioritize business information and potential software improvements
Lead internal and external projects and direct junior data scientists
Benefits Three weeks (15 days) of Personal Time Off, which includes vacation and sick days
401K plan with a matching plan (100% match on first 3% deferred and 50% on the next 2%)
A United Healthcare Plan including Medical, Dental, and Vision
The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate’s/applicant’s qualifications, skills, and level of experience as well as the geographical location of the position.
The end client is unable to sponsor or transfer visas for this position; all parties authorized to work in the US without sponsorship are encouraged to apply.
Our client is seeking a Sr Data Scientist in Washington, DC/ Hybrid.
Role Description: The Data Science team is looking for a candidate with strong analytical and data skills to join the team.
Why Hays? You will be working with a professional recruiter who has intimate knowledge of the industry and market trends.
Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences.
In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company.

#J-18808-Ljbffr

Qualifications   Bachelor's and 6 years of experience, or Master's/PhD degree and 4 years of experience in Statistics, Mathematics, Engineering, Computer Science, Data Science or a relevant field
At least 4 years of experience with time series modelling
At least 4 years of hands-on experience in several of the following areas: machine learning, statistics, optimization, regression modelling, deep learning, generative AI, causal inference, experimentation
At least 4 years of development experience with Python
Proficiency with statistical packages in Python (e.g., scikit-learn, NumPy, SciPy, Pandas, Statsmodels, matplotlib, and PyTorch)
Proficiency with relational database concepts, SQL, and knowledge of ETL processes
Proficiency with cloud technologies such as AWS, GCP, or Azure
Ability to communicate clearly with technical and non-technical audiences
Proficiency with version control systems (e.g., Git)
Experience leading teams of other data scientists on long-term projects
Demonstrated desire to learn new skills
Responsibilities   The Data Scientist will work closely with multiple stakeholders across the business to develop models, optimize systems, and leverage data to support tactical and strategic decisions
Build and test machine learning models to support the company's platform
Maintain and contribute to existing Data Science codebases and automation of existing forecast model pipeline
Develop and deploy models to the company's platform that provide ongoing forecasts, optimizations, recommendations, and insights
Review diagnostic and performance reports to locate and correct problems and optimize algorithms
Work collaboratively with peers by actively participating in research reviews and discussions
Work with Client Support and Delivery teams to communicate outcomes, changes, and new features in the company's platform
Work with analytical leaders to prioritize business information and potential software improvements
Lead internal and external projects and direct junior data scientists
Benefits   Three weeks (15 days) of Personal Time Off, which includes vacation and sick days
401K plan with a matching plan (100% match on first 3% deferred and 50% on the next 2%)
A United Healthcare Plan including Medical, Dental, and Vision
The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate’s/applicant’s qualifications, skills, and level of experience as well as the geographical location of the position.
The end client is unable to sponsor or transfer visas for this position; all parties authorized to work in the US without sponsorship are encouraged to apply.
Our client is seeking a Sr Data Scientist in Washington, DC/ Hybrid.
Role Description: The Data Science team is looking for a candidate with strong analytical and data skills to join the team.
Why Hays? You will be working with a professional recruiter who has intimate knowledge of the industry and market trends.
Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences.
In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company.

#J-18808-Ljbffr

About the roleAs a Business Analyst, you will be working closely with stakeholders and delivery teams to identify demand and help translate this into analytical solutions while ensuring that reporting requests are streamlined and not duplicated for greater efficiency. Working closely with a cross-functional Mobile Analytics squad, you will document end-to-end processes, capture requirements, and translate them into actionable user stories. Tell me more, tell me more…Our client is currently looking for a new recruit in joining their team, please read on! You can also ask our friendly recruitment team any questions you may have about the role, between 8:30am-5:00pm Monday to Friday. Shifts: Monday – Friday (37.5 hours per week) The must haves: <ul><li>Proven experience as a Business Analyst in an Agile environment, with a strong focus on analytics, data, and mobile technologies, preferably within the telecommunications sector. Strong understanding of process mapping, requirements gathering, and user story creation, with an emphasis on analytics and data flows.</li><li>Mobile network experience. </li><li>Excellent stakeholder management and communication skills, particularly regarding data and analytics requirements.</li><li>Can understand data capabilities.</li><li>Detail-oriented with a focus on defining and validating acceptance criteria and definitions of done, especially in the context of data and analytics.</li><li>Knowledge of Business process mapping, creating as-is and to be end-to-end process mapping.</li><li>Using Jira or ADO to create Epics and user stories.</li><li>Excellent communication and interpersonal skills</li><li>Ability to work collaboratively with cross-functional teams. ..</li></ul> What’s in it for you? – Our client loves to reward their people for doing a great job.<ul><li>This is on a contract until 31/03/2025</li><li>A day rate, in-scope IR35, up to £500.00 (via a Hays approved umbrella company)</li><li>This role provides a Remote Working access from the comforts of your own home and only going to our state-of-the-art office in Wythenshawe- Concord House.</li></ul> Next StepsOnce you’ve applied, one of our friendly recruitment consultants will give you a call and talk you through the screening process.If your application is successful, you’ll be involved in a live virtual interview with one of our client’s hiring managers to get to know you better.We look forward to speaking to you!

<h3>Qualifications</h3><ul><li>Bachelor's and 6 years of experience, or Master's/PhD degree and 4 years of experience in Statistics, Mathematics, Engineering, Computer Science, Data Science or a relevant field</li><li>At least 4 years of experience with time series modelling</li><li>At least 4 years of hands-on experience in several of the following areas: machine learning, statistics, optimization, regression modelling, deep learning, generative AI, causal inference, experimentation</li><li>At least 4 years of development experience with Python</li><li>Proficiency with statistical packages in Python (e.g., scikit-learn, NumPy, SciPy, Pandas, Statsmodels, matplotlib, and PyTorch)</li><li>Proficiency with relational database concepts, SQL, and knowledge of ETL processes</li><li>Proficiency with cloud technologies such as AWS, GCP, or Azure</li><li>Ability to communicate clearly with technical and non-technical audiences</li><li>Proficiency with version control systems (e.g., Git)</li><li>Experience leading teams of other data scientists on long-term projects</li><li>Demonstrated desire to learn new skills</li></ul><h3>Responsibilities</h3><ul><li>The Data Scientist will work closely with multiple stakeholders across the business to develop models, optimize systems, and leverage data to support tactical and strategic decisions</li><li>Build and test machine learning models to support the company's platform</li><li>Maintain and contribute to existing Data Science codebases and automation of existing forecast model pipeline</li><li>Develop and deploy models to the company's platform that provide ongoing forecasts, optimizations, recommendations, and insights</li><li>Review diagnostic and performance reports to locate and correct problems and optimize algorithms</li><li>Work collaboratively with peers by actively participating in research reviews and discussions</li><li>Work with Client Support and Delivery teams to communicate outcomes, changes, and new features in the company's platform</li><li>Work with analytical leaders to prioritize business information and potential software improvements</li><li>Lead internal and external projects and direct junior data scientists</li></ul><h3>Benefits</h3><ul><li>Three weeks (15 days) of Personal Time Off, which includes vacation and sick days</li><li>401K plan with a matching plan (100% match on first 3% deferred and 50% on the next 2%)</li><li>A United Healthcare Plan including Medical, Dental, and Vision</li></ul>The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate’s/applicant’s qualifications, skills, and level of experience as well as the geographical location of the position.The end client is unable to sponsor or transfer visas for this position; all parties authorized to work in the US without sponsorship are encouraged to apply.Our client is seeking a Sr Data Scientist in Washington, DC/ Hybrid.Role Description: The Data Science team is looking for a candidate with strong analytical and data skills to join the team.Why Hays? You will be working with a professional recruiter who has intimate knowledge of the industry and market trends.Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences.In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company.
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Business Analyst, 12-month contract, Belfast (hybrid), up to £360 p/dWe are working with a global financial institution to recruit a Business Analyst to join the Futures and Derivatives team in Belfast to partake in the front to back review of the business needs. Key Criteria:· At least 3-5 years’ experience in a Business Analyst role.· Knowledge on Futures and Options products and Clearing industry· Experience of working across multiple disciplines within finance or related industry Responsibilities: · Evaluate front-to-back control processes, identify areas for improvement, and implement solutions.· Lead reviews of business processes and develop optimization strategies for Target Operating Models, BRDs, User Stories, and Test Cases.· Conduct meetings and presentations to share ideas and findings.· Communicate with stakeholders to elicit, analyse, and validate requirements for changes to control processes.· Identify, document, and analyse business requirements against risk through process discovery.· Ensure compliance with applicable laws, rules, and regulations, and escalate control issues transparently. Although the role is initially for a 12-month period there is a high possibility of extension. Please note this role will require the contractor to be in the office 3 days per week in Belfast If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.

*This is a hybrid, twice-a-week in office role in Jersey City, Harford, Boston, or Raleigh offices* About the Role - The Digital Product Management team has responsibility for solving human and business problems with new technology. This role drives the product strategy, product roadmap development, and market delivery/operation of the product offering in assigned business segment. We are looking for a dynamic and detail-oriented Digital Product Manager with a deep understanding of financial systems and a strong background in the Majesco Billing System. The ideal candidate will have hands-on experience in managing digital products related to financial applications, driving product strategy, and collaborating across cross-functional teams to deliver high-impact solutions. Responsibilities:<ul><li>Product Strategy and Roadmap: Develop and own the product strategy and roadmap for financial systems and applications, specifically around the Majesco Billing platform.</li><li>Stakeholder Collaboration: Collaborate with stakeholders across finance, operations, IT, and other teams to gather requirements, prioritize features, and ensure alignment with business goals.</li><li>Product Development: Lead the end-to-end product development lifecycle, including ideation, design, development, testing, and launch, while working closely with engineering teams.</li><li>User Experience Optimization: Partner with UX/UI designers to create user-friendly and efficient financial application interfaces that improve customer satisfaction and engagement.</li><li>Data Analysis and Reporting: Use data analytics to monitor product performance, identify areas for improvement, and implement enhancements to drive product adoption and revenue growth.</li><li>Market Research and Competitive Analysis: Conduct market research and competitive analysis to stay current on industry trends, user needs, and competitors' offerings, particularly in financial technology and billing systems.</li><li>Project Management: Oversee multiple product initiatives and coordinate with internal and external teams to ensure timely delivery of product features and functionalities.</li><li>Compliance and Security: Ensure that all financial applications meet regulatory, compliance, and security standards, particularly concerning payment processing and data protection.</li><li>Customer Advocacy: Act as a voice of the customer, providing insights and feedback to continuously improve product features and functionalities.</li></ul> Qualifications: Knowledge & Skills: <ul><li>A background in the insurance industry or related business environment.</li><li>Strong functional expertise in financial systems and applications, with hands-on experience in the Majesco Billing System/Guidewire/Duck Creek/Origami.</li><li>Experience synthesizing qualitative and quantitative data to drive decisions for building best-in-class digital products.</li><li>Understanding of product lifecycle development.</li><li>Experience defining digital content experiences (experience with insurance products helpful).</li><li>Ability to evaluate, analyze and interpret the voice of the customer through a variety of data sources.</li><li>Ability to be strategic and tactical in day-to-day interactions.</li><li>Demonstrated knowledge of digital channels and platforms (e.g., web, mobile, client PC, partner products, social, video).</li><li>Familiarity with technologies utilized in the industry and the ability to see their impact.</li><li>Good consensus-building skills.</li><li>Ability to convey technical concepts in a clear, understandable way.</li><li>Ability to overcome internal barriers and negotiate resource constraints to produce successful digital initiatives.</li><li>Good communication and presentation skills.</li><li>Prior experience working with 3rd party vendors to deliver results.</li><li>Ability to establish credibility, influence and effective working relationships with peers and stakeholders.</li><li>Comfortable interacting and partnering at all levels across the organization.</li><li>Ability to make decisions in a fast-paced, deadline-driven and rapidly changing environment.</li></ul> Education & Experience:<ul><li> Required knowledge & skills would typically be acquired through a bachelor’s degree in business, computer science or related field (or equivalent in experience) with 5 - 10 years or related experience.</li><li>Total individual compensation will take into account a number of factors including but not limited to location, qualifications, scope & responsibilities plus other criteria.</li></ul>

Data Scientist  - Contract - Greenwood Village, CO - Hybrid - $75-$85 / hour
The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate's/applicant's qualifications, skills, and level of experience as well as the geographical location of the position.
Applicants must be legally authorized to work in the United States. Sponsorship not available.
Our client  is seeking a Data Scientist  / Contract / Hybrid.
Top Skills
Actively and consistently support all efforts to simplify and enhance the internet customer experience.
Requirements gathering, problem formulation, data grooming, data exploration, model prototyping, model validation, and productionalization.
Leverage consultative experience delivering insights on large, structured and unstructured data to product owners and executives with strong communications skills (verbal, written PowerPoint).
Perform analyses using a range of techniques from basic (pivot table) to advanced (ML models).
Troubleshoot, debug, solve problems where the analytical approach or algorithm is not meeting performance standards.
Required Skills/Abilities and Knowledge
Expert-level skills and experience with Python (including relevant packages) in support of advanced analytics.
Comprehensive experience with machine learning models (regression, decision trees, clustering, SVMs, neural networks).
Effective synthesis and presentation skills.
Ability to communicate results and recommendations to a wide variety of audiences including executive leadership.
Understanding of data architecture, data warehouse and data marts.
Experience with other database and data store technologies, such as NoSQL, key-value, columnar, graph, and document.
Extensive experience with large data sets and the tools to obtain, transform, and store data on Big Data and streaming services.
Program, product, or project management experience delivering analytics results
Required Education
Bachelor's degree in computer science, statistics, operations research and/or equivalent combination of education and experience
Preferred: Master's degree in related field (ML / AI / DS)
Required Related Work Experience
Data manipulation and statistical modeling as a data scientist - 5+ years
Python - 5+ years
Strong analytics skills in SQL and Excel - 5+ years
Lead the design, develop and deployment machine learning and analytics models - 3+ years
Preferred Qualifications
Experience with Hadoop, Hive, Spark, and AWS
Tableau
Knowledge of other relevant techniques such as text analysis and text mining
Background with cable and/ or telecommunications
Benefits/Other Compensation
This position is a contract/temporary role where Hays offers you the opportunity to enroll in full medical benefits, dental benefits, vision benefits, 401K and Life Insurance ($20,000 benefit).
Why Hays?
You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Your Hays recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and drivers. You will also get support on resume writing, interview tips, and career planning, so when there's a position you really want, you're fully prepared to get it.
Nervous about an upcoming interview? Unsure how to write a new resume?
Visit the Hays Career Advice section to learn top tips to help you stand out from the crowd when job hunting.
Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. We believe that the more inclusive we are, the better we serve our candidates, clients, and employees. We are an equal employment opportunity employer, and we comply with all applicable laws prohibiting discrimination based on race, color, creed, sex (including pregnancy, sexual orientation, or gender identity), age, national origin or ancestry, physical or mental disability, veteran status, marital status, genetic information, HIV-positive status, as well as any other characteristic protected by federal, state, or local law. One of Hays' guiding principles is do the right thing'. We also believe that actions speak louder than words. In that regard, we train our staff on ensuring inclusivity throughout the entire recruitment process and counsel our clients on these principles. If you have any questions about Hays or any of our processes, please contact us.
In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company. Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text 813.336.5570.
Drug testing may be required; please contact a recruiter for more information.

Data Scientist   Contract Greenwood Village, CO Hybrid $75-$85 / hour
The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidates/applicants qualifications, skills, and level of experience as well as the geographical location of the position.
Applicants must be legally authorized to work in the United States. Sponsorship not available.
Our client  is seeking a Data Scientist  / Contract / Hybrid.
Top Skills
Actively and consistently support all efforts to simplify and enhance the internet customer experience.
Requirements gathering, problem formulation, data grooming, data exploration, model prototyping, model validation, and productionalization.
Leverage consultative experience delivering insights on large, structured and unstructured data to product owners and executives with strong communications skills (verbal, written PowerPoint).
Perform analyses using a range of techniques from basic (pivot table) to advanced (ML models).
Troubleshoot, debug, solve problems where the analytical approach or algorithm is not meeting performance standards.
Required Skills/Abilities and Knowledge
Expert-level skills and experience with Python (including relevant packages) in support of advanced analytics.
Comprehensive experience with machine learning models (regression, decision trees, clustering, SVMs, neural networks).
Effective synthesis and presentation skills.
Ability to communicate results and recommendations to a wide variety of audiences including executive leadership.
Understanding of data architecture, data warehouse and data marts.
Experience with other database and data store technologies, such as NoSQL, key-value, columnar, graph, and document.
Extensive experience with large data sets and the tools to obtain, transform, and store data on Big Data and streaming services.
Program, product, or project management experience delivering analytics results
Required Education
Bachelor's degree in computer science, statistics, operations research and/or equivalent combination of education and experience
Preferred: Masters degree in related field (ML / AI / DS)
Required Related Work Experience
Data manipulation and statistical modeling as a data scientist 5+ years
Python 5+ years
Strong analytics skills in SQL and Excel 5+ years
Lead the design, develop and deployment machine learning and analytics models - 3+ years
Preferred Qualifications
Experience with Hadoop, Hive, Spark, and AWS
Tableau
Knowledge of other relevant techniques such as text analysis and text mining
Background with cable and/ or telecommunications
Benefits/Other Compensation
This position is a contract/temporary role where Hays offers you the opportunity to enroll in full medical benefits, dental benefits, vision benefits, 401K and Life Insurance ($20,000 benefit).
Why Hays?
You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Your Hays recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and drivers. You will also get support on resume writing, interview tips, and career planning, so when theres a position you really want, youre fully prepared to get it.
Nervous about an upcoming interview? Unsure how to write a new resume?
Visit the Hays Career Advice section to learn top tips to help you stand out from the crowd when job hunting.
Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. We believe that the more inclusive we are, the better we serve our candidates, clients, and employees. We are an equal employment opportunity employer, and we comply with all applicable laws prohibiting discrimination based on race, color, creed, sex (including pregnancy, sexual orientation, or gender identity), age, national origin or ancestry, physical or mental disability, veteran status, marital status, genetic information, HIV-positive status, as well as any other characteristic protected by federal, state, or local law. One of Hays guiding principles is do the right thing. We also believe that actions speak louder than words. In that regard, we train our staff on ensuring inclusivity throughout the entire recruitment process and counsel our clients on these principles. If you have any questions about Hays or any of our processes, please contact us.
In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company. Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text 813.336.5570.
Drug testing may be required; please contact a recruiter for more information.

Supply Chain Business Analyst: SAP ERP – Contract – Summit, NJ – $95.00 - $108.50/hr The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate’s/applicant’s qualifications, skills, and level of experience as well as the geographical location of the position. Applicants must be legally authorized to work W2 in the United States. Sponsorship not available.This role is NOT open to C2C. Our client is seeking a Supply Chain Business Analyst: SAP ERP in Summit, NJ. Role DescriptionThe Cell Therapy External Manufacturing ERP Systems business analyst is part of the Cell Therapy Vector & External Manufacturing Operations (VEXMO) organization and will support the ERP business process for the external network. This role is responsible for preparing business requirement documents and ensures requirements are concise, clear, and testable. Must be able to articulate requirements into UAT scripts, understand SAP Master Data, and must have been involved in 3 full life-cycle ERP implementations. Given the dynamic nature of cell therapy, this role requires an individual who can provide structure while quickly adapting to change. The scope of the role includes both Commercial & Clinical phase assets and will collaborate extensively with cross-functional stakeholders including IT, Project Management, Business Delivery, Supply Chain, Patient Operations, and Finance. Skills & Requirements<ul><li>Experience in biopharmaceutical clinical, supply chain, manufacturing, and commercialization, with knowledge of cGMP/Pharmaceutical</li><li>Implementation and rollout experience in SAP S4 HANA –</li><li>Responsible for supporting the roll-out of Global SAP S/4 Business solutions, including analysis workshops, UAT Planning, UAT executions, and deployment activities, including pre-post go-live tasks.</li><li>Experienced and interested in working hands-on for the SAP ICO Supply chain solutions -S4 Hana environment includes,</li><li>ICO Planning & Procurement process.</li></ul> o Forecast, MPS & MRP o Planned Order & Purchase Requisitions o Purchase Orders, STO with subcontracting. o Inventory management.<ul><li>Logistics Execution</li></ul> o Inbound and Outbound delivery process o PO Return process o 3PL Integration with IDoc interface o Intercompany Invoice Processing<ul><li> Logistics Invoice Verification</li></ul> o Vendor Invoice processing<ul><li>Familiar with Sub-Contracting Process</li><li>Familiar with the HP ALM tool for test planning and executions</li><li>Experience in technology software integrations and program delivery</li><li>Strong analytical and problem-solving skills</li><li>Excellent communication and interpersonal skills</li><li>Ability to work effectively in a team environment and build strong relationships with stakeholders</li></ul> Benefits/Other Compensation This position is a contract/temporary role where Hays offers you the opportunity to enroll in full medical benefits, dental benefits, vision benefits, 401K, and Life Insurance ($20,000 benefit). Why Hays? You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Your Hays recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and drivers. You will also get support on resume writing, interview tips, and career planning, so when there’s a position you really want, you’re fully prepared to get it. Nervous about an upcoming interview? Unsure how to write a new resume? Visit the Hays Career Advice section to learn top tips to help you stand out from the crowd when job hunting. Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. We believe that the more inclusive we are, the better we serve our candidates, clients, and employees. We are an equal employment opportunity employer, and we comply with all applicable laws prohibiting discrimination based on race, color, creed, sex (including pregnancy, sexual orientation, or gender identity), age, national origin or ancestry, physical or mental disability, veteran status, marital status, genetic information, HIV-positive status, as well as any other characteristic protected by federal, state, or local law. One of Hays’ guiding principles is ‘do the right thing’. We also believe that actions speak louder than words. In that regard, we train our staff on ensuring inclusivity throughout the entire recruitment process and counsel our clients on these principles. If you have any questions about Hays or any of our processes, please contact us. In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company. Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text 813.336.5570. Drug testing may be required; please contact a recruiter for more information.

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