About the job
- The Test Analyst position is responsible for ensuring the successful implementation of new business solutions, defect fixes, system enhancements, and changes to existing applications and functionality. This role will be responsible for performing end-to-end, systems integration and regression testing, as well as non-functional testing such as performance-related and security-related testing.
- As a Test Analyst, you will be responsible for identifying and defining the required test scenarios and/or test cases. You will also coordinate the execution of testing, inclusive of functional hand-over points, and monitor detailed testing progress and results in each test cycle. You will evaluate the overall quality of the testing process and ensure that the intended solution meets stated requirements, expected outcomes and specifications that guided its design and development, and that they work as expected.
- You will be required to perform testing that includes integration to non-SAP, external systems. The scope of your responsibilities will cover functional areas such as SAP Master Data Management, SAP Rebates Management, Rebates Settlements Management i.e., Condition Contracts, SAP Purchasing and Materials Management, and SAP Pricing and Promotions.
- To be successful in this role, you will need to have a strong understanding of testing methodologies and practices, as well as experience with end-to-end testing, systems integration, and regression testing. You should be able to work collaboratively with cross-functional teams, including business analysts, developers, and project managers. You should have excellent analytical and problem-solving skills, as well as strong attention to detail. You should also be able to communicate effectively with both technical and non-technical stakeholders.
Job Objectives
Test planning and analysis
Test scenario and/or test case preparation, construction, and review.
- Contribute to develop, modify, and ensure that software testing plans are executed in an agile or sequential framework.
- Provide estimates for assigned task duration, along with confidence levels and foreseeable dependencies. Identify the testing effort required by calculating the sizing needed for the given release and plan the required effort for the same.
- Represent the customer in understanding how they use the system and including the most relevant end to end user scenarios in test plans and automation.
- Identify the testing scope required for each release based on the requirements, User Stories and verify Acceptance Criteria.
- Ensure optimal test coverage, based on requirements for Functional (Positive + Negative), Informational and non-Functional Requirements.
- -dentify and document key test scenarios with alternate and negative test variants
- Document the test cases.
I-dentify what to test by translating process models, functional- and business requirement specifications / product backlog requirements into testable test cases.
- Determine and document the test criteria and expected results.
- Design the Test Case Library and Create test scripts.
- Review final test cases with test lead or Agile team.
- Obtain test scope validation and approval.
Test prerequisites compilation
- Determine the prerequisites.
- Identify and obtain required test resources (data, scenarios, tools) for the internal and external
- Identify the required test environment.
- Ensure test environment setup, e.g. test server access and test logins.
- Prepare test results pack for results recording and sign-off.
Test execution, recording and defect logging
- Follow the written test case/ specification.
- Execute alternate test variants and negative scenarios.
- Record test results.
- Compare actual results against expected results.
- Record pass/fail status of each test case.
- Report, record and assign defects identified.
- Retest and update on fixed defects.
- Execute regression tests.
- Maintain the test environment and script sets.
- Assist in maintaining the data in the test environments.
Maintain testing that conforms to the TCoE quality standards framework with a high level of accuracy.
- Understand the application under test and ensure that it meets the necessary expectations as defined by business.
- Ensure Quality Assurance of all testing activities.
- Maintain test documentation to reflect current system operations. Identify opportunities for continuous improvement.
- Support improvement of the testing process and quality initiatives.
Test status updates and reporting
- Provide feedback to the Development team or Agile team and ensure the work is carried out in accordance with the schedule and the quality requirements.
- Inform management of any negative trends in the quality of software in pre- and post-production.
- Provide estimates and feedback to the Team Lead for project scheduling purposes.
- Ensure effective communication with key stakeholders.
- Prepare and maintain the TCoE test tracking report and related Tools (e.g. ALM QC, JIRA)
- Ensure test status updates are provided in a standard format.
Test closure activities
- Ensure test completion - no outstanding high-risk issues, defects have been fixed and retested, deferred or accepted as permanent restrictions.
- Handover test artifacts to people who need it in the future, eg maintenance or support teams.
- Participate in project retrospectives and contribute and document lessons learnt.
- Ensure scripts are added to the TCoE script library.
- Archive (where required) test work products such as test results, test logs, test status reports, data input files.
Requirements
- Formal Education Grade 12
- Diploma or Degree qualified (IT or related technical)
- Formal software testing training (e.g. ISTQB, ISEB)
- Manual testing experience 4+ years
- SQL experience 2+ years
- Test Tools experience (ALM QC, Jira, etc). 3+ years
- Testing in a Retail sector 2+ years
- SAP Integration with external systems such as BambooRose, B2B, MQ 2+ years
- SAP Materials Management (MM)experience 2+ years
- JDA Forecasting, ASR, AWR experience. 2+ years
- SAP Purchasing / Materials Management
Decent understanding of SAP purchasing modules is required with experience in the testing of SAP Local and Import Procurement.- Understanding of WM processes in SAP.- Decent understanding of SAP Store modules is required with experience in the testing of SAP POS.- Experience working on HANA would be advantageous
- Experience in Stores and Distribution Centre procurement processes.
- SAP Retail & Purchasing cross-functional experience
- SAPIRT330 Planning Purchasing and Merchandise Distribution
- SAPIRT Function Overview in SAP for Retail 2+ years
- SAP Master Data Management 2+ years
- SAP Stores, Distribution Centre and Retail cross-functional experience 2+ years
- SAP Warehouse Management and Logistics 1+ years
- Configuration of SAP WM or EWM module.
- Integration of different modules with MM (i.e. MM/SD)
- Any other modules would be advantageous
- Prior SAP (integrated) implementation experience.
- SAP Stores Knowledge 1+ years
- Experience in Front-end Fiori application.
- SAP HANA knowledge 1+years
- Understand how to find tables, view data in those tables
- Understand how to find views, validate the output of a view, troubleshoot data in the view.
- Testing in an Agile environment 2+ years
- SAP GTS experience 1+ years
- Automated testing tool experience 1+ years
- Experience of testing using test management tools such as ALM/QC. 2+ years
- Experience in HPE Unified Functional Testing (UFT), Neoload & Load Runner.
- Experience of testing using an automated test tool such as QC and QTP/Selenium/UFT or any other. 1+ years
- Thorough knowledge of structured test methods and processes. 3+ years
- Proven experience of testing complex user interfaces. 3+ years
- Excellent understanding of testing concepts and the role of QA within Agile development methodology / Scrum management techniques. 3+ years
- Specification of functional / non-functional test data requirements. 3+ years
- Solution Manager experience - SOLMAN CHARM. 1+ years
Knowledge and Skills
Specific: SAP Master Data Management (MDM)
- Master data is the core data of an enterprise that exists independently of specific business transactions and is referenced in business transactions. It builds the foundation for the smooth execution of business processes and well-informed business decisions.
Master data represents business objects rather than business transactions and is rarely changed over a long period of time.
- Material master data
- Customer master data
- Vendor master data
- Pricing/conditions master data
- Warehouse management master data
- Rebates and Condition Contracts
- Proven experience in test requirement extraction, test preparation, execution and reporting.
- Proven experience of static testing, functional testing, system testing, end-to-end scenario testing, integration testing, regression testing and non-functional testing. 4+ years
- Ability to apply different test design and execution techniques.
- Preparation of Data templates for various test objects.
- Integration testing with other SAP modules and external systems.
- Go-live preparation and post Go-live support.
- Root Cause Analysis of Production failure test-comebacks.
- Work Requests (WRs)
- Preparing test scenarios and data for testing of WRs.
- Testing WRs and preparing test results.
- Integration with internal and external services and systems, such as: (2+years)
- B2B
- ASR
- AWR
- GTS
- Trade Terms
- TradeCloud
- BambooRose
- POS Retalix
- POS DM (CAR)
- POS Integration Management (PIMS)
- Sales Central (Datarite)
- INFOR
- WMS
- SAP COR3 Retail Business Warehouse (BWRetail)
- Enterprise ETL and Data Quality Management (SAP Data Services)
- JDA Demand Forecasting
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Job Description
- We are seeking a talented Machine Learning Engineer to design, develop and deploy scalable Machine Learning models and algorithms that drive business value. The ideal candidate will have a strong background in Mathematics, Statistics, and Computer Science, as well as experience in building end-to-end Machine Learning systems. The candidate will collaborate closely with Data Scientists, AI Developers, and Software Engineers to design, develop, test, and deploy Machine Learning models in a production environment.
Key Responsibilities:
- Develop, test, and deploy Machine Learning models and algorithms that solve complex business problems.
- Collaborate with Data Scientists, AI Developers, and Software Engineers to design, develop, and deploy end-to-end Machine Learning systems.
- Build scalable and efficient Machine Learning pipelines using distributed computing and Big Data technologies.
- Optimize Machine Learning models and algorithms for performance, accuracy, and reliability.
- Evaluate and implement state-of-the-art Machine Learning and Deep Learning algorithms and frameworks.
- Develop and maintain documentation for Machine Learning models and algorithms.
- Identify and solve technical and operational issues related to Machine Learning models in a production environment.
- Stay up-to-date with the latest Machine Learning and Deep Learning research and developments.
Requirements
Qualifications:
- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related field.
- 3+ years of experience in Machine Learning development and deployment.
- Strong proficiency in programming languages such as Python, Java, or C++.
- Experience with Machine Learning frameworks like TensorFlow, Keras, or PyTorch.
- Experience with Big Data technologies like Hadoop, Spark, or Hive.
- Strong understanding of Mathematics, Statistics, and Probability theory.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills.
Preferred Qualifications:
- PhD in Computer Science, Mathematics, Statistics, or related field.
- Experience with Natural Language Processing (NLP) or Computer Vision (CV).
- Experience with Cloud-based Machine Learning services like AWS SageMaker, Azure Machine Learning, or Google Cloud AI Platform.
- Experience with containerization technologies like Docker and Kubernetes.
As a Machine Learning Engineer, you will play a critical role in building scalable and efficient Machine Learning systems that drive business value. If you have a passion for Machine Learning and enjoy solving complex problems, we encourage you to apply for this exciting opportunity.
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Job Description
- We are seeking a skilled and experienced Data Scientist to join our team. The Data Scientist will be responsible for analysing large and complex data sets to identify patterns, trends, and insights that drive business decisions. The ideal candidate will have a strong background in Statistics, Mathematics, and Machine Learning, as well as experience in programming languages like Python or R. The candidate will collaborate closely with cross-functional teams, including AI Developers, Machine Learning Engineers, and Business Analysts, to design, develop, and implement Machine Learning models and algorithms.
Key Responsibilities:
- Analyse large and complex data sets to identify patterns, trends, and insights that drive business decisions.
- Develop and implement Machine Learning models and algorithms using programming languages like Python or R.
- Collaborate with cross-functional teams to design and develop end-to-end Machine Learning systems.
- Develop and maintain data pipelines and workflows.
- Communicate insights and findings to stakeholders in a clear and concise manner.
- Stay up-to-date with the latest advancements in Machine Learning and Data Science technologies.
- Identify and solve technical and operational issues related to data quality, data integration, and data privacy.
Requirements
Qualifications:
- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related field.
- 3+ years of experience in Data Science or related field.
- Strong proficiency in programming languages such as Python or R.
- Strong understanding of Statistics, Mathematics, and Machine Learning.
- Experience with Machine Learning frameworks like TensorFlow, Keras, or PyTorch.
- Experience with Big Data technologies like Hadoop, Spark, or Hive.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills.
Preferred Qualifications:
- PhD in Computer Science, Mathematics, Statistics, or related field.
- Experience with Natural Language Processing (NLP) or Computer Vision (CV).
- Experience with Cloud-based Machine Learning services like AWS SageMaker, Azure Machine Learning, or Google Cloud AI Platform.
- Experience with data visualisation tools like Tableau or Power BI.
As a Data Scientist, you will play a critical role in analysing large and complex data sets to identify patterns, trends, and insights that drive business decisions. If you have a passion for Data Science and enjoy solving complex problems, we encourage you to apply for this exciting opportunity.
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