5 Inventory Forecasting Jobs

You should have a minimum of 10-12 years of experience in the Paints, Coatings, and Construction Chemicals industry. Your primary responsibilities will include driving business growth and development in the given market through active collaboration with suppliers and the regional team. It is essential for you to possess a strong understanding of market mapping and executing market penetration plans. As a candidate, you will be accountable for portfolio development and diversification within the designated segment. Proficiency in managing sales, inventory forecasting, and CRM tools such as Salesforce management is necessary. You will directly oversee customer satisfaction, supplier relationship management, and demonstrate excellent cross-functional collaboration skills with other departments. The ideal candidate should hold an M.Tech/B.Tech degree in Chemical or Paint Background. Additionally, you should have a proven track record of 10-12 years in sales of water-based paints and construction chemicals raw materials, specifically selling HEC and CMC in the Paints and Coatings industry. DKSH values diversity in services, industries, clients, products, regions, and employees of various nationalities. Our success is attributed to our passionate and dedicated team who positively impact millions of lives through the products and services we provide. At DKSH, you will have the opportunity to drive growth, make a difference, experience continuous learning and development, take ownership of your career, and have a positive impact on people's lives. Join DKSH today and become part of a dynamic team that is committed to excellence and growth.,

At PwC, the focus of individuals in data and analytics engineering is to utilize advanced technologies and techniques for designing and developing robust data solutions for clients. They are instrumental in converting raw data into actionable insights, facilitating informed decision-making, and propelling business growth. Those specializing in data science and machine learning engineering at PwC concentrate on employing advanced analytics and machine learning techniques to extract insights from extensive datasets and drive data-driven decision-making. Your responsibilities will include developing predictive models, conducting statistical analysis, and creating data visualizations to tackle intricate business challenges. You will have a significant role in organizing and maintaining proprietary datasets, transforming data into insights and visualizations that steer strategic decisions for both clients and the firm. Working closely with industry leaders and various cross-functional retail and consumer advisory, tax, and assurance professional teams, you will assist in developing impactful, commercially relevant insights to integrate into thought leadership, external media engagement, demand generation, client pursuits, and delivery enablement. Preferred Knowledge and Skills: Demonstrates in-depth abilities and a proven track record of success in managing efforts to identify and address client needs: - As a critical member of a team of Retail and Consumer data scientists, you will maintain and analyze large, complex datasets to uncover insights related to consumer sentiment, future business trends/challenges, cyclical consumer events (e.g., holidays, back-to-school, Super Bowl), business strategy, pricing, promotions, customer segmentation, and supply chain optimization. - Assist in identifying new, cutting-edge datasets to enhance the firm's differentiation among competitors and clients. - Assist in building predictive models and data-led tools. - Design and implement experiments (e.g., A/B testing, market basket analysis) to assess the effectiveness of new approaches and drive continuous improvement. - Collaborate with the US team to translate analytical findings into actionable recommendations and compelling narratives. - Develop dashboards and reports using tools like Tableau, Power BI, or Looker to support self-service analytics and decision-making. - Stay abreast of industry trends, customer behavior patterns, and emerging technologies in the consumer and retail landscape. - Experience in managing high-performing data science and commercial analytics teams. - Strong SQL and Alteryx skills, proficiency in Python and/or R for data manipulation and modeling. - Experience in applying machine learning or statistical techniques to real-world business problems. - Solid understanding of key retail and consumer metrics (e.g., CLV, churn, sales velocity, basket size). - Proven ability to explain complex data concepts to non-technical stakeholders. - Experience with retail and consumer datasets such as Circana, Yodlee, Pathmatics, Similar Web, etc. - Knowledge of geospatial or time-series analysis in a retail setting. - Previous work involving pricing optimization, inventory forecasting, or omnichannel analytics.,

At PwC, the focus of individuals in data and analytics engineering is on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. Playing a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will concentrate on leveraging advanced analytics and machine learning techniques to extract insights from large datasets, driving data-driven decision making. You will be involved in developing predictive models, conducting statistical analysis, and creating data visualizations to solve complex business problems. You will be crucial in organizing and maintaining proprietary datasets, transforming data into insights and visualizations that drive strategic decisions for clients and the firm. Working closely with industry leaders and various cross-functional retail and consumer advisory, tax, and assurance professional teams to develop high-impact, commercially relevant insights for thought leadership, external media engagement, demand generation, client pursuits, and delivery enablement. Demonstrates in-depth level abilities and/or a proven record of success in managing efforts with identifying and addressing client needs: - As a critical member of a team of Retail and Consumer data scientists, maintaining and analyzing large, complex datasets to uncover insights that inform topics such as consumer sentiment, future business trends/challenges, insights around cyclical consumer-related events (e.g., holidays, back-to-school, Super Bowl, etc.), business strategy, pricing, promotions, customer segmentation, and supply chain optimization. - Supporting in the identification of new, cutting-edge datasets that add to the firm's differentiation amongst competitors and clients. - Supporting in building predictive models and data-led tools. - Designing and conducting experiments (A/B testing, market basket analysis, etc.) to measure the effectiveness of new approaches and drive continuous improvement. - Partnering with the US team to translate analytical findings into actionable recommendations and compelling stories. - Developing dashboards and reports using tools like Tableau, Power BI, or Looker to support self-service analytics and decision-making. - Staying up to date and ahead of industry trends, customer behavior patterns, and emerging technologies in the consumer and retail landscape. - Having experience managing high-performing data science and commercial analytics teams. - Strong SQL and Alteryx skills and proficiency in Python and/or R for data manipulation and modeling. - Experience applying machine learning or statistical techniques to real-world business problems. - Solid understanding of key retail and consumer metrics (e.g., CLV, churn, sales velocity, basket size, etc.). - Proven ability to explain complex data concepts to non-technical stakeholders. - Experience with retail and consumer datasets such as Circana, Yodlee, Pathmatics, Similar Web, etc. - Knowledge of geospatial or time-series analysis in a retail setting. - Prior work with pricing optimization, inventory forecasting, or omnichannel analytics.,

As an Inventory & Stock Accountant at our production facility in Satna, Madhya Pradesh, you will play a crucial role in managing stock control, vendor coordination, and purchase operations. Your responsibilities will include optimizing inventory using Zoho Inventory, monitoring stock levels, creating Purchase Orders (POs), overseeing inventory forecasting, and reconciling variances. Additionally, you will be in charge of physical inventory control and vendor coordination. To excel in this role, you should be a graduate in Commerce or a related field with at least 2 years of experience in inventory or accounting within a production or manufacturing environment. Familiarity with Zoho Inventory or similar ERP tools is preferred, along with strong attention to detail and organizational skills. This full-time position requires you to work from 9:00 AM to 6:00 PM, Monday to Saturday, at our Satna location. Our company headquarters is based in Delhi/NCR, and we are a design and manufacturing firm. If you meet the qualifications and are interested in joining our team, please send your updated resume to contactus@mianzi.in with the subject line "Inventory Accountant Application - Your Name".,

Total Inventory management Ensuring efficient stock management, reducing inventory costs Overstock Management Strategy to Reduce Inventory Level, Inventory Optimization Analyzing inventory trends, regular reports on stock levels, turnover rates Required Candidate profile Male, Graduate/PG , 3/5 year experience in Inventory Control ,Analyse Stock Controls, Overstock Demand forecasting,Costing,Data Analysis Residing nearby Bhiwandi or Thane Good knowledge of MIS,ERP