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The Business Analysis Manager delivers big insights and helps leaders throughout the business to make critical strategic and operational decisions and shape the long-term vision of T-Mobile.. The Business Analysis Manager is responsible for insights, analysis, and reporting using various analytical techniques and software including data mining and business intelligence/reporting software.. 4-7 years Working experience reporting and analyzing performance & dta visualization (Tableau, Power BI, etc.. At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role.. As part of the T-Mobile team, you know the Un-carrier doesn't have a corporate ladder-it's more like a jungle gym of possibilities!
Boeing Commercial Airplanes (BCA) is hiring Experienced Quality Systems Specialists (Statistical Analysis & Application) (Level 3 or 4) support the 737 Customer Quality Support Team, supporting Renton and Seattle Delivery Center. 2+ years of experience in database management, programming, statistical modeling and/or machine learning (SQL, R, Python, JMP, Tableau, etc. Data Analysis, Data Mining, Database Design, UX Research, Product Deployment, Process Improvement, Project Management, Risk Management. Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Employment, and the continuity of employment of non-U.S. persons, is contingent upon the company’s ability to secure and maintain the necessary export control authorization.
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. Experience with data visualization using Tableau, Quicksight, or similar tools.. - Experience writing complex SQL queries, Statistical Analysis packages such as R, SAS and Matlab.. - Current, active US Government Security Clearance of Top Secret or above.. - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
The Asset Management group includes Capital & Space Management, Real Estate, Sustainability and other teams responsible for planning and workload management. The Business Intelligence Data Architect is an important role in the Business Innovation and Technology (BIT) team for delivering on the UW Facilities strategy to make more data driven business decisions. Use SQL, data visualization, and business intelligence tools to create reports. Highly capable with MS SQL, MySQL, and supporting reporting platforms including SSRS, Tableau, and PowerBI. Knowledge and understanding of common IT frameworks including the Software Development Lifecycle (SDLC), Information Technology Service Management (ITSM or ITIL).
You are an expertly skilled leader in the Data and Analytics industry with a variety of experience in data architectures, patterns, and methodologies focused on Analytics Strategy, Data Governance & Master Data Management, Data Architecture(s), Big Data & Internet of Things, Data Visualization and Analytics and AI. You should be passionate about research, prototyping and staying current on emerging technologies through continued education and significant community participation.. 10+ years of experience in Data Strategy, Data Architecture & Engineering Patterns, Data Science & ML Methodologies, and/or Analytics/BI Program Management (SQL, Python, R, Java, C#). 5+ years of experience working with emerging Data & Analytics technologies (Hadoop, Spark, Kafka, Azure Data Lake, etc.). Experience with analytics platforms (Tableau, Microsoft, Domo, IBM, etc.). Familiarity with some or all the following disciplines: AI, Machine Learning, Statistical Analysis, Predictive Modeling, Bayes Theorem
The platform offers bug bounty, vulnerability disclosure, pentesting, AI red teaming, and code security. We are trusted by industry leaders like Amazon, Anthropic, Crypto.com, General Motors, GitHub, Goldman Sachs, Uber, and the U.S. Department of Defense. Partner with Sales Leadership on annual sales planning, including territory design, quota setting, and resource allocation.. Advanced analytical skills with experience in forecasting and reporting tools (e.g., Excel, Tableau, Power BI).. Leaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act)
Data Visualization (Power BI, Tableau, etc.). Lead the orchestration and definition of IAM metrics, including IAM organization OKRs, security risk metrics, operational metrics, and service delivery/adoption metrics.. Ensure complete and accurate data visibility for risk metrics by partnering with IAM Engineering.. Serve as a data SME for IAM Security Governance and IAM Service Leads.. Design, build, and manage executive and stakeholder reporting of IAM metrics.
Data Science Senior Analyst - Growth, Marketing & Sales. You'll be working in one of our offices in North America within our Growth, Marketing & Sales practice.. Proficiency in statistical data analysis and data mining packages (e.g., R, SAS, SPSS, Alteryx, MatLab, STATA, Excel). Advanced programming skills in at least one of Python, R, Java experience linking multiple data platforms (social media, open, etc) and with data visualization tools (e.g., Tableau). LinkedIn Job Title - Data Science Senior Analyst - Growth, Marketing & Sales
The Data Scientist will contribute to visualization, exploration, and development of new technology insights, product ideas, and game-changers that may hold the potential to add value to patients and Novo Nordisk in the future within therapeutic areas covered by Novo Nordisk corporate strategy.. Analytical skills are needed to create state-of-the-art products that incorporate prediction, data mining, pattern recognition, and balance satisfying user needs with innovative technical solutions and business potential according to Novo Nordisk corporate strategy.. Ensure relevant knowledge and skills are up-to-date, e.g. methods and tools within data mining, statistical methods, machine learning, big data analysis, predictive analytics, programming, and relevant hardware/software engineering.. Contribute to team in making new, relevant inventions and ensure these are covered in new Novo Nordisk patent applications.. Implementation or utilization of big data tools such as R, Hadoop, Impala, Hive, Pig, Spark, etc.
The AWS Sustainability Science and Innovation team is hiring a Principal Sustainability Scientist. AWS Sustainability Science and Innovation (AWS-SSI) develops world-class methodologies and models that enable data-driven decision making to enhance the near and long-term sustainability performance of AWS infrastructure and services. We use these models to develop, derisk, and accelerate the adoption of innovative sustainable technologies by leveraging strategic external partnerships, leading applied research, and building partnerships across AWS teams. By continually pushing the boundaries of sustainability science, we will strive to be a catalyst for a sustainable transformation across our customers, our partners, and the world. Developing long-term models of new technology through research, data collection, modeling, data analysis, and data visualization
The primary objective of this role is to use AI, computational biology, and bioinformatics methods to classify and process R&D data, identifying potential opportunities for drug optimization and protein targets for immunotherapy.. Protein Target Identification: Use AI, computational biology, and bioinformatics methods to identify protein targets of immunotherapy in cancers and other diseases. Senior Researcher: Artificial General Intelligence (Natural Language Processing) Senior Machine Learning Engineering Manager Senior Machine Learning Engineering Manager Seattle, WA. Staff Machine Learning Engineer, Ads Retrieval GenAI Security Researcher, Artificial General Intelligence Seattle, WA. Senior ML Engineer, Applied Machine Learning ML Postdoc Researcher - Deep Learning, LLMs & Generative AI Seattle, WA
Hulu. ESPN. ABC. ABC News. Additionally, it is responsible for the data engineering, science, and products for Disney Entertainment & ESPN, along with their interconnection with other parts of The Walt Disney Company.. 7+ years of hands-on experience in Data Governance, Master Data Management, Data Quality, or Metadata Management disciplines.. Experience with a data catalog tool such as Alation, Collibra, or Informatica Axon.. Hands-on experience with Snowflake and Databricks environments.
Ensure all data solutions comply with relevant nuclear industry regulations (e.g., NRC guidelines) and internal quality assurance programs.. Proven experience in designing and implementing data models for analytical purposes (e.g., star schema, snowflake schema).. Hands-on experience with cloud-based data platforms (AWS, Azure, or GCP) and their data services (e.g., Snowflake, BigQuery, Redshift, Azure Synapse Analytics).. Experience with a leading Business Intelligence tool (e.g., Tableau, Power BI, Looker).. Experience with data orchestration tools (e.g., Airflow, Dagster).
The primary objective of this role is to use AI, computational biology, and bioinformatics methods to classify and process R&D data, identifying potential opportunities for drug optimization and protein targets for immunotherapy.. Protein Target Identification: Use AI, computational biology, and bioinformatics methods to identify protein targets of immunotherapy in cancers and other diseases.. Master’s or Ph. D. in Computer Science, Machine Learning, Biostatistics, Bioinformatics, or a related field.. Familiarity with data visualization tools such as Tableau, Power BI, or D3.. About Our Team: Our team consists of experienced professionals from various backgrounds, including computer science, biostatistics, bioinformatics, and immunology.
Retirement Plans: 401a - 10% of employee contribution with a 12% match by Sound Transit; 457b - up to IRS maximum (employee only contribution).. Tuition Reimbursement: Sound Transit will pay up to $5,000 annually for approved tuition expenses.. Contributes to a culture of diversity, equity and inclusion in alignment with Sound Transit's Equity & Inclusion Policy.. Strong experience in SQL, Python, data visualization tools (e.g., Tableau, Power BI), and data warehousing; Or an equivalent combination of education and experience.. Data analysis report preparation and Dashboard development and management including using BI platforms (ex: Power BI, Tableau, Looker).
The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles. Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions.. BS/BA degree in statistics, mathematics, economics, computer science, engineering or related field or equivalent years of experience.. 3+ years of experience in quantitative analysis & data science or a related field.. Advanced degree in applied mathematics, statistics, actuarial science, economics or related field
We need a talented data science leader to apply rigorous hypothesis testing, statistical modeling, machine learning, predictive analytics and working with LLMs to inform the acquisition, personalization and retention strategies for our products. 6 years of experience in data analysis, advanced statistical analysis, predictive analytics, with hands-on experience in data mining, machine learning and predictive modeling. Certifications in data science, project management or related fields (e.g., Certified Analytics Professional (CAP), Certified Data Management Professional (CDMP), or specific vendor certifications like Microsoft Certified: Azure Data Scientist Associate. Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities.. Traumatic brain injury
The Senior Manager will manage various data assets, including claims, sales, and specialty pharmacy data, and will work across oncology commercial analytics and commercial teams to integrate insights into the franchise’s strategic direction.. Advanced Analytics : Develop and implement advanced analytics models, using techniques such as machine learning, predictive modeling, and statistical analytics, to drive insights into customer behavior, market trends, and product performance.. Secondary Data Analysis : Leverage multiple external data sources (e.g., claims data, specialty pharmacy data, non-retail sales) to generate actionable insights that address strategic business questions.. Data Sourcing : Collaborate with the Director of Oncology Data Enablement to identify and assess relevant commercial data sources (e.g., Komodo Health, IQVIA, Symphony) that can be integrated into analytics projects to improve insights and decision-making capabilities.. Technical Skills : Proficiency in data analysis tools such as Python, R, SQL, and data visualization platforms (e.g., Tableau, Power BI).
As a Principal Architect – Data & Analytics, you will define the long-term vision, architecture, and roadmap for enterprise data platforms, analytics capabilities, and data governance.. Deep experience designing and implementing cloud-native data platforms (e.g., Snowflake, Databricks, BigQuery, Redshift).. Proven track record with modern data stack tools (e.g., dbt, Airflow, Tableau, Power BI).. Familiarity with big data technologies (Spark, Hadoop, Databricks) and real-time streaming (Kafka, Flink).. Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Google Cloud Platform, Snowflake, Databricks, Amazon AWS, Microsoft Azure)
For more information about our Diversity, Equity and Inclusion policy, click here.. DIG is both a healthcare startup and a technology/product incubator.. We need a talented data science leader to apply rigorous hypothesis testing, statistical modeling, machine learning, predictive analytics and working with LLMs to inform the acquisition, personalization and retention strategies for our products.. 6 years of experience in data analysis, advanced statistical analysis, predictive analytics, with hands on experience in data mining, machine learning and predictive modeling.. Certifications in data science, project management or related fields (e.g., Certified Analytics Professional (CAP), Certified Data Management Professional (CDMP), or specific vendor certifications like Microsoft Certified: Azure Data Scientist Associate.)