5,879 Demand Forecasting jobs in the United States
Demand Forecasting Analyst
Posted 2 days ago
Job Viewed
Job Description
Pursuant to Section 20 C.F.R. 656.10, you are hereby notified that an application for Alien Employment Certification will be filed by Takeda Pharmaceuticals U.S.A., Inc. for the following job opportunity:
Job Location: Cambridge, MA
Position: Demand Forecasting Analyst
Position Description: Takeda Pharmaceuticals U.S.A., Inc. is seeking a Demand Forecasting Analyst with the following duties: Track weekly and monthly forecast metrics for various assets across multiple business units for internal as well as cross-functional teams/stakeholders; Utilize secondary data sources such as IQVIA, Symphony claims, Metys, to track KPIs and metrics; Optimize and build forecast trackers and demand performance trackers to help with monthly business performance reporting; Create brand performance decks for monthly reviews for various assets; Provide weekly shipment reporting in collaboration with the analytics team on a regular basis; Provide internal finance teams with monthly demand landing/flash estimates to support with monthly financial reporting; Conduct ad hoc analyses to help with forecasting demand narrative through various financial cycles; Work in conjunction with cross-functional teams such as data science; Support forecasting team by helping with forecast conversions, keeping trackers updated with latest forecasts. Up to 80% remote work allowed
Requirements: Master's degree in Statistics, Health Informatics, Operations Research, Computer Science, Industrial Engineering, Economics, Math, or related field plus 4 months of related experience. Prior experience must include: Synthesize, analyze, triangulate complex datasets such as IQVIA, Symphony, Metys, ValueTrak, Databricks, Evaluate Pharma; Experience with advanced Excel, modeling, coding (SQL); Understand pharma environment, product knowledge, competitors, disease states, market; Utilize math and statistics to conduct descriptive analysis, wrangle and clean data.
Full time. $103,000 - $153,000 per year. Competitive compensation and benefits.
Qualified applicants can apply at Takeda careers page. Please reference job # R0153596. EOE
Any individual may provide documentary evidence bearing on this application, with information on available workers and information on wages and working conditions, to the Certifying Officer, U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue, NW, Room N-5311, Washington, DC 20210.
LocationsBoston, MA
Worker TypeEmployee
Worker Sub-TypeRegular
Time TypeFull time
Demand Forecasting Analyst
Posted 8 days ago
Job Viewed
Job Description
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description Pursuant to Section 20 C.F.R. 656.10, you are hereby notified that an application for Alien Employment Certification will be filed by Takeda Pharmaceuticals U.S.A., Inc. for the following job opportunity: JOB LOCATION: Cambridge, MA POSITION: Demand Forecasting Analyst POSITION DESCRIPTION : Takeda Pharmaceuticals U.S.A., Inc. is seeking a Demand Forecasting Analyst with the following duties: Track weekly and monthly forecast metrics for various assets across multiple business units for internal as well as cross-functional teams/stakeholders; Utilize secondary data sources such as IQVIA, Symphony claims, Metys, to track KPIs and metrics; Optimize and build forecast trackers and demand performance trackers to help with monthly business performance reporting; Create brand performance decks for monthly reviews for various assets; Provide weekly shipment reporting in collaboration with the analytics team on a regular basis; Provide internal finance teams with monthly demand landing/flash estimates to support with monthly financial reporting; Conduct ad hoc analyses to help with forecasting demand narrative through various financial cycles; Work in conjunction with cross-functional teams such as data science; Support forecasting team by helping with forecast conversions, keeping trackers updated with latest forecasts. Up to 80% remote work allowed REQUIREMENTS: Master’s degree in Statistics, Health Informatics, Operations Research, Computer Science, Industrial Engineering, Economics, Math, or related field plus 4 months of related experience. Prior experience must include: Synthesize, analyze, triangulate complex datasets such as IQVIA, Symphony, Metys, ValueTrak, Databricks, Evaluate Pharma; Experience with advanced Excel, modeling, coding (SQL); Understand pharma environment, product knowledge, competitors, disease states, market; Utilize math and statistics to conduct descriptive analysis, wrangle and clean data. Full time. $ 103,000 - $153,000 per year. Competitive compensation and benefits. Qualified applicants can apply at Takeda careers page at: . Please reference job # R0153596 . EOE Any individual may provide documentary evidence bearing on this application, with information on available workers and information on wages and working conditions, to the Certifying Officer, U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue, NW, Room N-5311, Washington, DC 20210. Locations Boston, MA Worker Type Employee Worker Sub-Type Regular Time Type Full time #J-18808-Ljbffr
Demand Forecasting Analyst
Posted 27 days ago
Job Viewed
Job Description
By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.
Job Description
Pursuant to Section 20 C.F.R. 656.10, you are hereby notified that an application for Alien Employment Certification will be filed by Takeda Pharmaceuticals U.S.A., Inc. for the following job opportunity:
JOB LOCATION: Cambridge, MA
POSITION: Demand Forecasting Analyst
POSITION DESCRIPTION : Takeda Pharmaceuticals U.S.A., Inc. is seeking a Demand Forecasting Analyst with the following duties: Track weekly and monthly forecast metrics for various assets across multiple business units for internal as well as cross-functional teams/stakeholders; Utilize secondary data sources such as IQVIA, Symphony claims, Metys, to track KPIs and metrics; Optimize and build forecast trackers and demand performance trackers to help with monthly business performance reporting; Create brand performance decks for monthly reviews for various assets; Provide weekly shipment reporting in collaboration with the analytics team on a regular basis; Provide internal finance teams with monthly demand landing/flash estimates to support with monthly financial reporting; Conduct ad hoc analyses to help with forecasting demand narrative through various financial cycles; Work in conjunction with cross-functional teams such as data science; Support forecasting team by helping with forecast conversions, keeping trackers updated with latest forecasts. Up to 80% remote work allowed
REQUIREMENTS: Master's degree in Statistics, Health Informatics, Operations Research, Computer Science, Industrial Engineering, Economics, Math, or related field plus 4 months of related experience. Prior experience must include: Synthesize, analyze, triangulate complex datasets such as IQVIA, Symphony, Metys, ValueTrak, Databricks, Evaluate Pharma; Experience with advanced Excel, modeling, coding (SQL); Understand pharma environment, product knowledge, competitors, disease states, market; Utilize math and statistics to conduct descriptive analysis, wrangle and clean data.
Full time. $103,000 - $153,000 per year. Competitive compensation and benefits.
Qualified applicants can apply at Takeda careers page at: Please reference job # R0153596. EOE
Any individual may provide documentary evidence bearing on this application, with information on available workers and information on wages and working conditions, to the Certifying Officer, U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue, NW, Room N-5311, Washington, DC 20210.
Locations
Boston, MA
Worker Type
Employee
Worker Sub-Type
Regular
Time Type
Full time
Demand Forecasting Analyst
Posted 13 days ago
Job Viewed
Job Description
**Job Description**
Pursuant to Section 20 C.F.R. 656.10, you are hereby notified that an application for Alien Employment Certification will be filed by Takeda Pharmaceuticals U.S.A., Inc. for the following job opportunity:
**JOB LOCATION:** Cambridge, MA
**POSITION:** Demand Forecasting Analyst
**POSITION DESCRIPTION** : Takeda Pharmaceuticals U.S.A., Inc. is seeking a Demand Forecasting Analyst with the following duties: Track weekly and monthly forecast metrics for various assets across multiple business units for internal as well as cross-functional teams/stakeholders; Utilize secondary data sources such as IQVIA, Symphony claims, Metys, to track KPIs and metrics; Optimize and build forecast trackers and demand performance trackers to help with monthly business performance reporting; Create brand performance decks for monthly reviews for various assets; Provide weekly shipment reporting in collaboration with the analytics team on a regular basis; Provide internal finance teams with monthly demand landing/flash estimates to support with monthly financial reporting; Conduct ad hoc analyses to help with forecasting demand narrative through various financial cycles; Work in conjunction with cross-functional teams such as data science; Support forecasting team by helping with forecast conversions, keeping trackers updated with latest forecasts. Up to 80% remote work allowed
**REQUIREMENTS:** Master's degree in Statistics, Health Informatics, Operations Research, Computer Science, Industrial Engineering, Economics, Math, or related field plus 4 months of related experience. Prior experience must include: Synthesize, analyze, triangulate complex datasets such as IQVIA, Symphony, Metys, ValueTrak, Databricks, Evaluate Pharma; Experience with advanced Excel, modeling, coding (SQL); Understand pharma environment, product knowledge, competitors, disease states, market; Utilize math and statistics to conduct descriptive analysis, wrangle and clean data.
Full time. $103,000 - $153,000 per year. Competitive compensation and benefits.
Qualified applicants can apply at Takeda careers page at: . Please reference job # R0153596. EOE
Any individual may provide documentary evidence bearing on this application, with information on available workers and information on wages and working conditions, to the Certifying Officer, U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue, NW, Room N-5311, Washington, DC 20210.
**Locations**
Boston, MA
**Worker Type**
Employee
**Worker Sub-Type**
Regular
**Time Type**
Full time
Data Scientist, Demand Forecasting
Posted 13 days ago
Job Viewed
Job Description
Amazon's Demand Forecasting Science team is at the forefront of machine learning innovation. As a Data Scientist, you'll join a team of accomplished scientists to develop foundation models for time series forecasting, driving over $200M in weekly inventory decisions and informing core business decisions from supply chain optimization to labor planning. Our team has a strong track record of internal and external publications, fostering an environment where scientific excellence meets real-world impact at unprecedented scale.
We encourage exploration of new ideas and tackle complex problems that advance both Amazon's capabilities and the broader field of forecasting science. For scientists passionate about machine learning and AI, our team offers a dynamic environment to make significant contributions while working alongside experts in the field.
Key job responsibilities
* Design, implement, and evaluate innovative deep learning techniques to drive accuracy improvement
* Utilizing code (Python, R, Scala, SQL etc.) for analyzing data and building statistical and deep learning models
* Collaborate with a team of experienced scientists to drive technological advancements.
* Develop innovative solutions to complex business problems in collaboration with partner teams.
* Contribute to Amazon's global science community through collaboration and publication of pioneering research
* Engage in research projects that contribute to the wider scientific community, sharing findings through publications in top-tier journals and conferences.
A day in the life
Your role will involve analyzing billions of rows of data using distributed computing systems, conducting statistical analyses, and implementing novel deep learning models to improve forecast accuracy. You'll work closely with partner teams to understand how our predictions influence broader supply chain decisions, focusing research efforts on areas that most impact Amazon's bottom line. You'll stay current with the latest developments in forecasting and AI research to drive model innovations. You will be responsible for clearly communicating complex insights and recommendations to both technical and non-technical stakeholders, helping drive innovation across the organization.
Basic Qualifications
- 2+ years of machine learning, statistical modeling, data mining, and analytics techniques experience
- 2+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 2+ years of data scientist experience
- Bachelor's degree
- Experience with neural deep learning methods and machine learning
Preferred Qualifications
- Master's degree, or PhD
- 2+ years of implementing deep learning models in a production environment
- Experience processing, filtering, and presenting large quantities (Millions to Billions of rows) of data
- Natural curiosity and desire to learn
- Experience in forecasting and time series is a plus
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $25,500/year in our lowest geographic market up to 212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
Data Scientist, Demand Forecasting, SCOT
Posted 13 days ago
Job Viewed
Job Description
Are you looking for an environment where you can drive innovation, apply state-of-the-art machine learning techniques, and tackle real-world problems at massive scale? Do you want to shape the future of Amazon's Retail business by designing and deploying deep learning models for time series forecasting? If so, join the Amazon Demand Forecasting Science team! As part of this dynamic team, you will create and implement novel neural network architectures to develop the next generation of foundation time series models, directly influencing how Amazon operates at a global scale.
Key job responsibilities
Design new deep learning algorithms and creative approaches to push time series forecasting performance beyond the current state-of-the-art.
Work cross-functionally with product managers, software engineers, and scientists to build end-to-end solutions that are deployed at scale in Amazon's production systems.
Engage with the broader scientific community at Amazon and beyond - collaborate with academic researchers, contribute to publications, and present your work at leading conferences (e.g., NeurIPS).
A day in the life
You will deep dive into massive Amazon time series datasets, leveraging Python and PySpark to conduct exploratory data analysis. You will prep the data pipeline - writing Python code to train, evaluate, and debug the latest deep learning models. You will design novel neural network architectures, brainstorming with fellow scientists and engineers on ways to push the boundaries of foundation time series modeling. You may explore and benchmark open-source solutions, identifying opportunities to enhance Amazon's forecasting capabilities. You will document your discoveries and prepare them for internal knowledge-sharing sessions or external conferences, ensuring that your innovations help shape the future of demand forecasting - both within Amazon and the broader research community.
About the team
We are responsible for accurately predicting sales for millions of products worldwide. Our work reduces costs, drives lower prices, and improves selection for customers - all while leveraging unprecedented volumes of data that only Amazon can offer.
Basic Qualifications
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 2+ years of data scientist experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Bachelor's degree
- Experience applying theoretical models in an applied environment
Preferred Qualifications
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
Applied Scientist, Demand Forecasting, SCOT
Posted 13 days ago
Job Viewed
Job Description
Are you looking for an environment where you can drive innovation, apply state-of-the-art machine learning techniques, and tackle real-world problems at massive scale? Do you want to shape the future of Amazon's Retail business by designing and deploying deep learning models for time series forecasting? If so, join the Amazon Demand Forecasting Science team! As part of this dynamic team, you will create and implement novel neural network architectures to develop the next generation of foundation time series models, directly influencing how Amazon operates at a global scale.
Key job responsibilities
Design new deep learning algorithms and creative approaches to push time series forecasting performance beyond the current state-of-the-art.
Work cross-functionally with product managers, software engineers, and scientists to build end-to-end solutions that are deployed at scale in Amazon's production systems.
Engage with the broader scientific community at Amazon and beyond - collaborate with academic researchers, contribute to publications, and present your work at leading conferences (e.g., NeurIPS).
A day in the life
You will deep dive into massive Amazon time series datasets, leveraging Python and PySpark to conduct exploratory data analysis. You will prep the data pipeline - writing Python code to train, evaluate, and debug the latest deep learning models. You will design novel neural network architectures, brainstorming with fellow scientists and engineers on ways to push the boundaries of foundation time series modeling. You may explore and benchmark open-source solutions, identifying opportunities to enhance Amazon's forecasting capabilities. You will document your discoveries and prepare them for internal knowledge-sharing sessions or external conferences, ensuring that your innovations help shape the future of demand forecasting - both within Amazon and the broader research community.
About the team
We are responsible for accurately predicting sales for millions of products worldwide. Our work reduces costs, drives lower prices, and improves selection for customers - all while leveraging unprecedented volumes of data that only Amazon can offer.
Basic Qualifications
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
Preferred Qualifications
- Experience using Unix/Linux
- Experience in professional software development
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
Be The First To Know
About the latest Demand forecasting Jobs in United States !
Data Scientist, Demand Forecasting, SCOT
Posted 13 days ago
Job Viewed
Job Description
Are you looking for an environment where you can drive innovation, apply state-of-the-art machine learning techniques, and tackle real-world problems at massive scale? Do you want to shape the future of Amazon's Retail business by designing and deploying deep learning models for time series forecasting? If so, join the Amazon Demand Forecasting Science team! As part of this dynamic team, you will create and implement novel neural network architectures to develop the next generation of foundation time series models, directly influencing how Amazon operates at a global scale.
Key job responsibilities
Design new deep learning algorithms and creative approaches to push time series forecasting performance beyond the current state-of-the-art.
Work cross-functionally with product managers, software engineers, and scientists to build end-to-end solutions that are deployed at scale in Amazon's production systems.
Engage with the broader scientific community at Amazon and beyond - collaborate with academic researchers, contribute to publications, and present your work at leading conferences (e.g., NeurIPS).
A day in the life
You will deep dive into massive Amazon time series datasets, leveraging Python and PySpark to conduct exploratory data analysis. You will prep the data pipeline - writing Python code to train, evaluate, and debug the latest deep learning models. You will design novel neural network architectures, brainstorming with fellow scientists and engineers on ways to push the boundaries of foundation time series modeling. You may explore and benchmark open-source solutions, identifying opportunities to enhance Amazon's forecasting capabilities. You will document your discoveries and prepare them for internal knowledge-sharing sessions or external conferences, ensuring that your innovations help shape the future of demand forecasting - both within Amazon and the broader research community.
About the team
We are responsible for accurately predicting sales for millions of products worldwide. Our work reduces costs, drives lower prices, and improves selection for customers - all while leveraging unprecedented volumes of data that only Amazon can offer.
Basic Qualifications
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 2+ years of data scientist experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Bachelor's degree
- Experience applying theoretical models in an applied environment
Preferred Qualifications
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
Software Development Engineer, Amazon Devices Demand Forecasting
Posted today
Job Viewed
Job Description
Software Development Engineer, Amazon Devices Demand Forecasting Amazon makes and sells Echo, Kindle, Fire TV, Fire Tablet, Ring, Blink, Eero, among other devices. It is critical that Amazon makes the right amount of each device available for purchase. Amazon is looking for a customer obsessed software engineer to join the Amazon Devices Demand Planning team. Our work impacts Amazon’s device business by forecasting demand and managing supply for all Amazon Devices. We are a growing team that continuously improves our delivery of these forecasts to our customers. We are looking for an engineer who is a technical leader and ready for challenges, with an interest in ML and LLMs. Key job responsibilities We will work together on defining and building features in multiple core services, and user applications. You will work with other engineers to drive systems architecture, write code, participate in reviews, and continuously improve our software development practices. We will make hard decisions, learn from our mistakes, and continuously improve by diving deep into data and metrics to identify opportunities. We will leverage Amazon’s Native AWS infrastructure to build systems and design algorithms that are able to handle large amounts of data. We will design systems that handle huge amounts of data. We solve hard, real world problems with industry best practices where they exist and our own best judgement to forecast demand so that we can guide decision makers on the greater Amazon Devices team. A day in the life You are a curious engineer looking for a career where you'll be able to innovate fast, deliver, and influence. You love delivering high-quality software products and services at large scale. You have expertise solving problems using software systems, AWS tools, and working together as a team to constantly improve. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. #J-18808-Ljbffr
Business Intelligence Engineer, Demand Forecasting, Selling Partner Support
Posted 8 days ago
Job Viewed
Job Description
Do you enjoy solving complex business problems, transforming data into insights, and using data to drive product decisions? We are seeking an individual who has combination of superior analytical and technical abilities, business acumen, and written and verbal communication skills. Data-driven decision-making is at the core of Amazon's culture. The ideal candidate has deep expertise in gathering requirements and insights, mining large and diverse data sets, data visualization, writing complex SQL queries, building rapid prototype using Python/ R and generating insights that enable senior leaders to make critical business decisions. The ideal candidate will have excellent analytical and communication skills and the ability to thrive in ambiguous situations.
BASIC QUALIFICATIONS
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 3+ years of hands-on analytics work experience, with proven quantitative orientation
- 3+ years of work experience using business intelligence tools like Tableau, QuickSight, PowerBI, etc. as well as advanced skills in Excel
- Hands on experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
- 2+ years of work experience in hands-on forecast modeling and statistical analysis
PREFERRED QUALIFICATIONS
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Experience working directly with business stakeholders to translate between data and business needs
- 2+ years of professional experience in building demand forecasting models or equivalent field
Key job responsibilities
Key job responsibilities:
- The role requires technical agility with understanding of forecasting methods and models
- Owning the analytics space including the BI architecture to support Forecast Planning cycles
- Design, develop and maintain scalable and reliable analytical tools, dashboards, and metrics that drive key forecast and planning decisions
- Conduct deep dive analyses of business problems and formulate conclusions and recommendations; determine optimized courses of action to deliver comprehensive analytical solutions
- Engage stakeholders in constructive dialogues to convert business problems into logic problems that can be solved with data, statistics, and scripting
- Work closely with Forecasting Managers, Economists and BIEs to build forecasting models for new business use cases and improve existing forecasting systems
- Deep diving gaps within forecasting tools and systems and provide feedback to the Sciences team
A day in the life
The Selling Partners Support ecosystem is constantly evolving and our analytics systems must be maintained and adapted to ensure our measurement strategy and reporting mechanisms accommodate these changes. Build a variety of analytics and visualization solutions to support our team. Autonomously perform deep dives, uncovering new trends/areas that may need attention. Partner closely with Program Managers to help design experiments and look for new opportunities with focus on 1) designing the right set of metrics that will allow us to measure our overall routing performance across key systems, as well as 2) Standardize input data feeds into our products.
About the team
Selling Partner Services is responsible for creating a trustworthy shopping experience across Amazon stores worldwide by protecting customers, brands, selling partners and Amazon from fraud, counterfeit, and abuse as well as empowering, providing world-class support, and building loyalty with Amazon's millions of selling partners. We value individual expression, respect different opinions, and work together to create a culture where each of us is able to contribute fully. Our unique backgrounds and perspectives strengthen our ability to achieve Amazon's mission of being Earth's most customer-centric company. The Selling Partner Support (SP-Support) team within Selling Partner Services handles the majority of support interactions with Selling Partners (Sellers, Vendors, and Brand Owners), but also work with many other teams across Selling Partner Services and other Amazon teams to collectively solve Selling Partner issues.
Basic Qualifications
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred Qualifications
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- 2+years of professional experience in building demand forecasting models or equivalent field
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.