Conducting the appropriate analytics techniques on available data. This will focus on Market Mix Modelling but will also include a wider range of techniques such as portfolio management and digital analytics.
Deriving meaningful insights from the results of a project.
Running and delivering practical and implementable media optimization scenarios supporting decision-making process for the planning teams.
Communicating results to internal teams, and establishing-buy-in of recommendations Working within a team of 10-13 people across different Team to ensure project deliverables are produced on time.
This is a hands-on role: Collecting data from relevant sources, checking for accuracy and formatting for analytics.
Developing strong working relationship with the account planning teams and foster a culture of information sharing.
Showcase Media Mix Modelling and its benefits to planning teams to create agency wide awareness Learning, implementing optimization tools in cooperation with the wider data science team.
Develop optimization and simulation algorithms to guide The marketing investment and allocation recommendations to stakeholders.
Scale current Python modeling algorithm through parallel processing or other efficiency enhancement.
Design and execute A/B test and other experiments.
Explain complex modeling approaches in simple terms and develop compelling narratives that connect modeling results with business problems Partner with cross-functional team to streamline data science solutions.
Work experience as a Business Analyst Project Management.
Experience in investment management/Capital Market.
Ability to work with stakeholders to assess potential risks and effective communication skill.
Interpret data, analyze results and provide reports Exceptional analytical and conceptual thinking skills.
Evaluating business processes, anticipating requirements, uncovering areas for improvement, and developing and implementing solutions.
Identifying the gaps between the process and provide innovative solutions.
Interpreting the business requirements and converting them in application implementation for the Development team.
Project management experience.
Ability to work independently and as part of a team and handle multiple tasks simultaneously, react to problems quickly, understand complex issues and produce quality solutions.
5+ testing experience in Design, planning and execution of tests for business rules, APIs and web services (Decision engine experience preferred) .
Experience working with Postman, Newman, AWS/Azure common frameworks.
(Junit, TestNG), REST API, Selenium/JMeter Proven experience with QA methodology and building/maintaining a modern QA capability set test automation frameworks- Junit, Mockit, etc.
Knowledge of agile operating principles - experience operating in a sprint cycle.
Evaluating business processes, anticipating requirements, uncovering areas for improvement, and developing and implementing solutions.
Experience with complex data payloads and risk model/strategy validations .
Familiarity with database modeling and data warehousing principles and SQL/NOSQL.
High-level understanding of Credit and Fraud risk management.
Strong hands-on experience with automation of APIs using SOUP/UI/Rest Assured or other API automation frameworks.
Bachelor's Degree in Computer Science or related field.
7+ years of SAP data modelling experience including Data sources, Info providers, Info Packages, Transformations and Update Rules, BEx queries, workbooks, key figures, and variable.
Proven track record in SAP IS-Retail and associated modules (including MM, SD, FI, PP, WM, POSDM), t-codes, data structures, and process flows.
Experience utilizing SAP HANA and associated design techniques and development tools, including HANA Studio, Virtual Providers, and SLT. Must have at least 1 full life cycle SAP BW implementation on the HANA platform.
Proven SAP BI ABAP development experience, including user exits, function modules, and start/end/expert routines.
Experience on both SAP BW 7.3 and 7.4 platforms, including integration with SAP Business Objects. Experience in SAP BW/4 will be added advantage.
Thorough understanding of technology trends and developments in application architectures.
Thorough knowledge of infrastructure architectures and data architectures as it pertains to their field of expertis.
Formal AWS training or advanced AWS certifications demonstrating deep knowledge of AWS Compute, AWS Relational database Systems, No Sql databases, Memory processing, server less designs, orchestrations & data streaming (Kafka or Kinesis) is a must.
Strong hands-on experience in Microservices, RESTful webservices development in Java (Spring Boot, Spring batch or equivalent framework)
.
In depth knowledge of Cloud Native Architecture (AWS Experience), Microservice Architecture and related stacks, and container technologies (Docker, Kubernetes, etc.) is a must.
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security is preferred.
