דרושים Data Analyst ב-United States, New Jersey, Newark

ABOUT THIS ROLE
As a Data Scientist, you will....- Develop innovative descriptive analysis, modeling, and experimental approaches to drive actionable insights
ABOUT AUDIBLE

- Undergraduate degree in: Statistics, Economics, Computer Science, Engineering, Applied Math, or a similar/related quantitative field
- 1+ year hands-on work experience in an applied/industry setting using SQL and Python, or similar, to work efficiently at scale with large data sets, constructing empirical analysis, modeling, and compelling data visualizations
- Experience formulating and solving challenging optimization and/or measurement problems

ABOUT THIS ROLE
At Audible, you will have an opportunity to make the best of your skillsets to both develop advanced scientific solutions and drive critical customer and business impacts. You will play a key role to drive end-to-end solutions from understanding our business and business requirements, identifying opportunities from a large amount of historical data and engaging in cutting-edge research to solve the business problems. You’ll seek to create value for both stakeholders and customers and inform findings in a clear, actionable way to managers and senior leaders. You will be at the heart of an agile and growing area at Audible.
As a Data Scientist, you will...- Perform content evaluation, apply natural language processing, analyze attributes and representations (in text, audio, cover art), generate content recommendations, and identify trends
- Conduct product-related analyses including user click stream analysis, search engine optimization, and product recommendations
- Evaluate marketing performance across earned, paid, and owned media evaluationABOUT AUDIBLE

- Currently pursuing a MS/PhD in computer science, statistics, mathematics, operations research, data science, economics, or another discipline involving experimental design and quantitative analysis of experimental data
- 1+ years of hands-on experience with machine learning, predictive modeling, and/or statistical analysis techniques
- Development experience with Python or equivalent scripting languages
- Experience in extracting data using SQL

- Exposure to software engineering environments (version control, command line)
- Machine Learning Pipeline orchestration with AWS (SageMaker, Batch, Lambda, Step Functions) or similar cloud-platforms
- Experience with causal inference methodologies for quasi-experimental settings (Synthetic Control, Difference-in-Difference, Regression Discontinuity, Propensity weighting)
- Experience in forecasting methodologies
- Ability to tackle very loosely defined problems and consistently deliver elegant, modular and scalable solutions in a timely manner

ABOUT THIS ROLE
In this key role, you will be at the forefront of shaping and advancing our Data Engineering solutions, primarily through the enhancement of our existing data platform. Additionally, you will collaborate with various elements of our global data ecosystem. Working closely with Global Analytics business stakeholders, your duties will encompass data integration, data modeling, execution of ETL (Extract, Transform, Load) processes, and the implementation of flexible data solutions. These solutions will be meticulously designed with a strong emphasis on data quality, adhering to the best practices in data warehousing. These efforts are crucial for the success of our data-driven initiatives.ABOUT YOU
You are a highly skilled programming specialist who will be actively involved in the design, development, troubleshooting, debugging, evaluation, support, and enhancement of data engineering solutions. You will leverage existing system architectures to expand the capabilities of these applications, with a strong focus on optimizing data pipelines. This will result in more efficient and streamlined data processes, ultimately empowering end users to excel in their tasks with increased effectiveness and efficiency.As a Programmer Analyst, you will...- Develop systems and datasets by applying software engineering best practices, fundamental data management principles, contemporary distributed systems
- Create, maintain, and optimize data pipelines for ingesting, transforming, and loading data from various sources into data storage systems
- Identify and resolve performance bottlenecks in data pipelines, databases, and related systems- Produce technical documentation to support data delivery developmentABOUT AUDIBLE

- Bachelor’s degree or higher in computer science or equivalent
- 1+ years of experience in a Data Warehouse (DWH) environment and experience with Data integration/ETL of large and complex data sets

Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.As the Sr. SAP Plant Maintenance Lead, you will manage the design, development and implementation of SAP Plant Maintenance projects and new functionalities within the Kuiper Enterprise Systems (ERP : S4 HANA) that allow for the rapid development and production of Space Hardware and reliability of equipment used to manufacture the same. The implementation of these systems are critical to scalability and cost effective business operations. We are looking for candidates who thrive in a fast-paced, start-up like environment. To be successful you need to be highly motivated and detail oriented while showing highest standards of execution.You will collaborate with business customers, companion system functional owners, solution architects and other personnel to develop dynamic and dependable systems to meet the emerging demands of internal customers in manufacturing. Develop Business requirements documents (BRDs), Functional Specifications (FS) and review test documentation. Work in compliance with the programming and documentation standards and solve production problems in a timely manner.
Key job responsibilities
- Build SAP PM based solution and handle all the deployment related activities. Build reports and deploy. Integration with MES Shop Floor Systems.
- Active participation in Requirements gathering, Functional Specifications, High Level Documentation, Integration Test, User Acceptance Test and go-lives to ensure success and meet customer requirements.- Building Proof of Concepts (POCs) in lower tier environments based on the business requirements
- Support improvement for integration areas including SAP PP, QM, MM, and Scheduling.
- Develop requirements and Functional Specs for Fiori Applications in the PM space
- Support various testing procedures (Unit testing, Integration testing, automated test scripts).A day in the life
You will conduct defect analysis and perform necessary fixes and improvements for any bugs witnessed in production. Collaborate with functional owners, architects and other personnel to develop dynamic and flexible systems to meet the emerging demands of internal customers in manufacturing and maintenance. Develop functional specification and estimations for assigned projects. Work in compliance with the programming and documentation standards and solve production problems in a timely manner.

- 5+ years of customer-facing product development and product management, including defining, launching, and optimizing product and services experience

* Exhibits excellent judgment
* Hires great people. Develops great people.
* High standard for customer obsession
* Has relentlessly high standards
* Thinks strategically, but stays on top of tactical execution
* Expects and requires innovation of her/his team
* Thinks big and has convictions
* Results oriented
* Has the innate ability to inspire passion in othersKey job responsibilities
Roles and Responsibilities
* Scale out an integrated go-to-market team in a highly complex environment
* Develop and execute against a set of goals including customer references, support, professional services, and training
* Develop and deliver compelling ROI to drive adoption of AWS Gen AI solutions by collaborating cross-functionally to continuously strengthen AWS's GenAI value proposition
* Develop relationships and engage with cross-functional and partner ecosystems to extend reach and drive adoption
* Build and leverage relationships with internal and external stakeholders to further adoption of AWS services in the market
* Support all AWS operating cadences and represent a consolidated view of the Private Equity customer segment to senior AWS leaders* Expect 50%+ travel to visit customers and travel

* The ideal candidate will have significant leadership experience working closely with influential and high-profile executives, preferably in the private equity (PE) industry. * He/She will have experience interacting at the CXO/VP level, with a good understanding of Cloud or related technology. He/She will think strategically and analytically about business, product, and technical challenges, with the ability to build and convey compelling value propositions and work cross-organizationally to build consensus. * Have a keen sense of ownership, drive, and scrappiness are critical. * The right person will be technical and analytical, and possess at least 10-15 years of executive leadership experience in sales. * Have existing CXO relationships, with a large network in more than one industry. * Strong leadership skills are key, with superior verbal and written communications skills and demonstrated ability to work effectively across internal and external organizations. * Relevant technical knowledge is helpful, including in areas such as: database systems, IoT, core distributed computing concepts, fundamentals of cloud computing and virtualization, storage systems, etc. * The ability to go deep on relevant trends in the PE industry and understand the world of this customer segment. * A Bachelor’s Degree is required.

* Degree in Computer Science and MBA or other relevant advanced degree.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

ABOUT THIS ROLE
In this key role, you will be at the forefront of shaping and advancing our Data Engineering solutions, primarily through the enhancement of our existing data platform. Additionally, you will collaborate with various elements of our global data ecosystem. Working closely with Global Analytics business stakeholders, your duties will encompass data integration, data modeling, execution of ETL (Extract, Transform, Load) processes, and the implementation of flexible data solutions. These solutions will be meticulously designed with a strong emphasis on data quality, adhering to the best practices in data warehousing. These efforts are crucial for the success of our data-driven initiatives.ABOUT YOU
You are a highly skilled programming specialist who will be actively involved in the design, development, troubleshooting, debugging, evaluation, support, and enhancement of data engineering solutions. You will leverage existing system architectures to expand the capabilities of these applications, with a strong focus on optimizing data pipelines. This will result in more efficient and streamlined data processes, ultimately empowering end users to excel in their tasks with increased effectiveness and efficiency.As a Programmer Analyst, you will...- Develop systems and datasets by applying software engineering best practices, fundamental data management principles, contemporary distributed systems
- Create, maintain, and optimize data pipelines for ingesting, transforming, and loading data from various sources into data storage systems
- Identify and resolve performance bottlenecks in data pipelines, databases, and related systems- Produce technical documentation to support data delivery developmentABOUT AUDIBLE

- Bachelor’s degree or higher in computer science or equivalent
- 1+ years of experience in a Data Warehouse (DWH) environment and experience with Data integration/ETL of large and complex data sets

ABOUT THIS ROLE
ABOUT YOU
As a Business Analyst, you will...
- Deliver regular reporting and insights through leadership reviews (MBRs, QBRs)- Partner with stakeholders to identify opportunities for process improvement and drive efficiencies- Create and optimize reporting systems, leveraging readily available data and exploring new data sources
- Apply advanced transformations within spreadsheets, SQL, or other relevant toolsABOUT AUDIBLE

- 2+ years of relevant experience in Business Analytics, Data Analysis, or related field
- Experience with SQL
- Experience in presenting to and influencing senior stakeholders