3 Pricing Elasticity Jobs

As a Pricing Revenue Growth Consultant, your primary role will be to advise on building a pricing and promotion tool for a Consumer Packaged Goods (CPG) client. This tool will encompass pricing strategies, trade promotions, and revenue growth initiatives. You will be responsible for developing analytics and machine learning models to analyze price elasticity, promotion effectiveness, and trade promotion optimization. Collaboration with CPG business, marketing, data scientists, and other teams will be essential for the successful delivery of the project and tool. Your Business Domain Skills will be crucial in this role, including expertise in Trade Promotion Management (TPM), Trade Promotion Optimization (TPO), Promotion Depth Frequency Forecasting, Price Pack Architecture, Competitive Price Tracking, Revenue Growth Management, and Financial Modeling. Additionally, you will need proficiency in AI, Machine Learning for Pricing, and Dynamic pricing implementation. Key Responsibilities: - Utilize Consulting Skills for hypothesis-driven problem solving, Go-to-Market pricing, and revenue growth execution. - Conduct Advisory Presentations and Data Storytelling. - Provide Project Leadership and Execution. In terms of Technical Requirements, you should possess: - Proficiency in programming languages such as Python and R for data manipulation and analysis. - Expertise in machine learning algorithms and statistical modeling techniques. - Familiarity with data warehousing, data pipelines, and data visualization tools like Tableau or Power BI. - Experience in Cloud platforms like ADF, Databricks, Azure, and their AI services. Your Additional Responsibilities will include: - Working collaboratively with cross-functional teams across sales, marketing, and product development. - Managing stakeholders and leading teams. - Thriving in a fast-paced environment focused on delivering timely insights to support business decisions. - Demonstrating excellent problem-solving skills and the ability to address complex technical challenges. - Communicating effectively with cross-functional teams and stakeholders. - Managing multiple projects simultaneously and prioritizing tasks based on business impact. Qualifications: - A degree in Data Science or Computer Science with a specialization in data science. - A Master's in Business Administration and Analytics is preferred. Preferred Skills: - Experience in Technology, Big Data, and Text Analytics.,

As bp transitions to an integrated energy company, we must adapt to a changing world and maintain driven performance. Bp's customers & products (C&P) business area is setting up a business and technology centre (BTC) in Pune, India. This will support the delivery of an enhanced customer experience and drive innovation by building global capabilities at scale, maximising technology, and developing deep expertise . The BTC will be a core and connected part of our business, bringing together colleagues who report into their respective part of C&P, working together with other functions across bp. This is an exciting time to join bp and the customers & products BTC! Shift Timing : 12.30 PM - 9.30 PM IST About the role: As the Data Specialist - Pricing, you will work alongside business leads for specific process areas, partnering with I&E, GBS, PUs, HUBs, Functions, and Markets to handle change, adoption, and sustainability of pricing frameworks aligned with the Business Strategy. This role will drive strategic pricing data lineage in the Data Lake, ensuring that the end state in the given process area is sustainable and operationally aligned with business leadership expectations and the Business Strategy. You are able to apply your expertise in the depth of the process hand-offs, the process links to the ERP transaction and related master data. The role drives strategic transformation, ensuring sustainable and operational alignment with leadership expectations. It requires fluency in agile methodology, acting and flexing as an SME, product owner, or scrum master based on project needs! Key Responsibilities: • Lead pricing data lineage from ERP & pricing source systems, normalisation and harmonization into star schema format for Data Lake embedding. • Approve required changes to pricing data, data structures, pricing metadata and master data. • Ensure pricing related processes and data are fit for purpose • Guide authorities through pricing data validation and query resolution • Support Global ERP systems processes and pricing data management during deployment to ensure alignment with project objectives and timelines • Support pricing data cutover and power outage phases • Support integration sessions with process architects to handle pricing data changes • Applying end-to-end strategic views to operational changes for process optimization, transactional fluidity, master data management and improved business performance. • Creating and supporting the execution of the Business Change Backlog to deliver incremental business change. • Advising & supporting planning and deployment activities to embed and sustain change. • Advising and supporting Data Governance related to Master Data Quality Management and Data performance related to transactional fluidity. • Acting as the process TAG for ERP design and setup, support Data Modelling for relevant data sources related to the Sales & Marketing Value Centres in the Castrol Data & Analytics landscape. • Recommending improvements and capability development to the Global Data & Analytics Lead and customers. • Collaborate with peer groups, using expertise across the subject area and drive integration • Working across timezones and lead multi disciplinary teams at a project or initiative bases. • Have a solutioning approach to think and build global with the ability to scale to local with tactical short term and strategic midterm delivery/alignment. Experience Required: • Experience in Pricing Operations with a minimum of 10 year operations in multiple aspects if the Sales Value Chain process execution. • Shown experience and deep domain knowledge of working with all affiliated pricing and marketing data objects • Shown deep experience of efficiently delivering business transformation as part of major ERP implementations and/or major business transformation projects. • Deep understanding in specified data & process area: Product portfolio management, Pricing waterfall, Net Hard Floor, rebates, Pricing conditions, dynamic pricing algorithms, Market & Pricing Intelligence, Pricing forecasting, pricing elasticity and the integration points with other data and process areas to ensure successful delivery of end to end. • Tenacious in getting issues resolved and collaborative solution - oriented thinking while balancing business strategy and process frameworks. Knowledge & Skills Required: • Good understanding of pricing data objects and their role in end-to-end processes • Familiarity with source & target systems and the role of pricing data within them ea: SAP, JDE • Trained in Agile methodology • Work across multiple levels of detail: data (master data & transactional), process design principles, operating model intent and systems design • Strong influencing skills and change leader to bring expertise and experience to shape value delivery • Consistent record of successful deployment in own area, across input and output success criteria measures You will work with : You will be part of a 20 headed Global team called Global Data & Analytics Team. You will operate peer to peer in a team of global best-in-class authorities on Process, Data, Advanced Analytics skill and Data Science. The Global Data & Analytics team reports into the Castrol Digital Enablement team that is running the digital estate for Castrol where we enhance scalability, process and data integration. This D&A team is the driving force behind the Data & Analytics strategy being responsible for the Harmonized Data Lake and the Business Intelligence derived from it, in support of the Business strategy and is a key pilar of value enablement through fast and accurate insights. You will engage will be exposed to a wide variety of customers in all layers of the Castrol Leadership and our partners in GBS and Technology. Through Data Governance at Value centre you have excellent exposure to the operations and have the ability to influence and lead change through value preposition engagements. Within the team we foster an open & inclusive culture where the collective powers the high quality outcome and speed of delivery. It is a team that stands on each other's shoulders to always be part of the solution and deliver towards optimal outcome.

Job Description: A Pricing Revenue Growth Consultant advise to build a pricing and promotion tool for CPG client which would have pricing strategies trade promotions and revenue growth initiatives This will involve building analytics and machine learning models for price elasticity promotion effectiveness and trade promotion optimization Consultant would require collaborating with CPG business marketing data scientist and other teams for a successful delivery of project and tool Required Skills Business Domain Skills o Trade Promotion Management TPM Trade Promotion Optimization TPO Trade Spend Efficiency o Promotion Depth Frequency Forecasting Scenario and Effectiveness o Price Pack Architecture Pricing Elasticity and Price Sensitivity o Competitive Price tracking benchmarking and effectiveness o Revenue Growth Management Category and Channel Growth Market Entry and New Product Pricing o Financial Modeling Dynamic pricing implementation o AI Machine Learning for Pricing Typical Work Environment Own delivery of RGM solutions ensuring high quality deliverables and measurable business outcomes for clients Collaborative work with cross functional teams across sales marketing and product development Stakeholder Management Team Handling Fast paced environment with a focus on delivering timely insights to support business decisions Excellent problem solving skills and ability to address complex technical challenges Effective communication skills to collaborate with cross functional teams and stakeholders Potential to work on multiple projects simultaneously prioritizing tasks based on business impact Experience and Qualification Overall 8 to 10 years of experience in Retail CPG Analytics with 2 to 4 years of experience in RGM products services within the Retail CPG industry Expertise in Pricing Promotions Price Pack Architecture Trade Spend etc Experience in engaging senior business stakeholders VP C level in strategic discussions Good understanding of application of AI in building and delivering RGM solutions and underlying technology Understanding and experience working in Agile methodologies Degree in Data Science Computer Science with data science specialization Master s in business administration in Marketing and Analytics preferred Key Responsibilities: A day in the life of an Infoscion As part of the Infosys consulting team your primary role would be to lead the engagement effort of providing high quality and value adding consulting solutions to customers at different stages from problem definition to diagnosis to solution design development and deployment You will review the proposals prepared by consultants provide guidance and analyze the solutions defined for the client business problems to identify any potential risks and issues You will identify change Management requirements and propose a structured approach to client for managing the change using multiple communication mechanisms You will also coach and create a vision for the team provide subject matter training for your focus areas motivate and inspire team members through effective and timely feedback and recognition for high performance You would be a key contributor in unit level and organizational initiatives with an objective of providing high quality value adding consulting solutions to customers adhering to the guidelines and processes of the organization If you think you fit right in to help our clients navigate their next in their digital transformation journey this is the place for you Technical Requirements: Primary skills Technology Oracle Industry Solutions Retail Merchandise Technical Skills o Proficiency in programming languages like Python and R for data manipulation and analysis o Expertise in machine learning algorithms and statistical modeling techniques o Familiarity with data warehousing and data pipelines o Experience with data visualization tools like Tableau or Power BI o Experience in Cloud platforms e g ADF Data bricks Azure and their AI services Consulting Skills o Hypothesis driven problem solving o Go to market pricing and revenue growth execution o Advisory Presentation Data Storytelling o Project Leadership and Execution Additional Responsibilities: Good knowledge on software configuration management systems Strong business acumen strategy and cross industry thought leadership Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Two or three industry domain knowledge Understanding of the financial processes for various types of projects and the various pricing models available Client Interfacing skills Knowledge of SDLC and agile methodologies Project and Team management Preferred Skills: Technology->Oracle Industry Solutions->Retail Merchandise->Oracle-Retail Price Management (ORPM)