Design, develop, and maintain enterprise reporting, dashboards, scorecards, and data visualization solutions using Power BI and related Microsoft technologies.
Responsibilities
Design, develop, and maintain interactive Power BI dashboards, reports, scorecards, and executive visualizations
Create intuitive executive and operational dashboards
Ensure consistency in reporting standards, branding, definitions, and calculations
Develop and maintain Power BI semantic models, datasets, dataflows, and DAX measures
Design and implement row-level security and workspace security models
Requirements
Bachelor's degree in Information Systems, Information Technology, Data Science, Computer Science, Business Analytics, Engineering, Mathematics, or a related discipline
Lead early-stage technology investigation and process integration for next-generation DRAM architectures.
Compensation
$159,000.00 - $271,000.00 a year
Responsibilities
Lead pathfinding investigations of next-generation DRAM concepts, materials, process architectures, and advanced patterning solutions, including High-NA EUV
Develop and integrate process flows across lithography, dry etch, thin films, CMP, metrology, device engineering, and manufacturing while balancing performance, yield, reliability, manufacturability, and cost
Design and implement DOE and technology-learning experiments, using statistical and AI-assisted analytics to evaluate electrical, defectivity, metrology, reliability, and yield data
Collaborate with NY CREATES, equipment suppliers, research partners, and Micron teams to evaluate emerging capabilities and influence technology priorities while protecting Micron intellectual property
Support the transition of successful pathfinding concepts into technology development and production by documenting key learning, technical assumptions, risks, and recommendations
Requirements
Master’s degree in Electrical Engineering, Physics, Materials Science, Chemical Engineering, or a related technical field
Nice to have: Ph.D. in Electrical Engineering, Physics, Materials Science, or related field
Lead early-stage technology investigation and process integration for next-generation DRAM architectures.
Compensation
$159,000.00 - $271,000.00 a year
Responsibilities
Lead pathfinding investigations of next-generation DRAM concepts, materials, process architectures, and advanced patterning solutions, including High-NA EUV
Develop and integrate process flows across lithography, dry etch, thin films, CMP, metrology, device engineering, and manufacturing while balancing performance, yield, reliability, manufacturability, and cost
Design and implement DOE and technology-learning experiments, using statistical and AI-assisted analytics to evaluate electrical, defectivity, metrology, reliability, and yield data
Collaborate with NY CREATES, equipment suppliers, research partners, and Micron teams to evaluate emerging capabilities and influence technology priorities while protecting Micron intellectual property
Support the transition of successful pathfinding concepts into technology development and production by documenting key learning, technical assumptions, risks, and recommendations
Requirements
Master’s degree or equivalent experience in Electrical Engineering, Physics, Materials Science, Chemical Engineering, or a related technical field
Nice to have: Ph.D. or equivalent experience in Electrical Engineering, Physics, Materials Science, or a related field
Lead requirements gathering and translate business needs into scalable analytics and data solutions, design dashboards, partner with Analytics Engineering, manage migration to Snowflake, and mentor team.
Compensation
The Base Salary range for this position is between $105,000-$135,000.
Responsibilities
Lead requirements gathering and translate business needs into technical specifications for analytics solutions and data products.
Design complex dashboards, semantic models, and scalable self-service analytics that meet user needs and functional requirements.
Partner with Analytics Engineering to define and develop canonical models and gold-layer curated datasets in Snowflake, including SQL and dbt transformations, tests, documentation, and data quality controls.
Identify and responsibly implement approved AI-assisted tools and automation to improve efficiency in SQL and dbt development, documentation, testing, migration, data quality, and user support while maintaining human review, security, and data governance.
Lead migration of dashboards, semantic models, and other analytical assets to curated Snowflake views through source mapping, reconciliation, validation, and controlled retirement of legacy dependencies.
Requirements
Bachelor's or Master's degree in Analytics, Statistics, Computer Science, Business, or a related field
Analyze AI memory demand, including HBM, to improve forecasting, data quality, supply planning, and alignment across customers and products
Support supply allocation, customer prioritization, product mix, and lifecycle decisions through scenario analysis and clear business recommendations
Build dashboards, business metrics, market models, and TAM analyses to track performance, identify opportunities, and support business planning
Prepare MSR, QBR, and executive business reviews that connect market, customer, product, supply, and financial insights
Partner with Business Development, Sales, Operations, Finance, Product Management, and technical teams to improve workflows, automate recurring processes, and drive timely decisions
Requirements
Bachelor’s or Master’s degree in Business, Finance, Economics, Supply Chain, Data Analytics, Engineering, or a related field
Lead multi-regional revenue operations across the Americas, serving as a strategic partner to sales leadership to align people, processes, systems, and analytics to improve sales productivity and forecast accuracy.
Compensation
Base salary range for this position: $159,000- $220,000
Responsibilities
Lead revenue operations strategy and execution across the Americas
Partner with Americas sales leadership to coordinate sales plans, operating cadences, and performance reviews
Represent field sales needs to global and corporate functions
Direct a multi-functional revenue operations team spanning field operations, analytics, reporting, and process optimization
Establish standardized operating rhythms for pipeline reviews, forecasting, QBRs, and annual planning
Requirements
Bachelor’s degree in Business, Finance, Economics, Computer Science, or related field
Designs, develops, and maintains analytics, intelligence, and visualization solutions to support decision-making across Kawneer.
Locations (2)
Norcross, Georgia, United States
Alpharetta, Georgia, United States
Responsibilities
Design, develop, and maintain analytics, intelligence, and visualization solutions that support operational and strategic decision-making.
Create dashboards, KPIs, semantic models, and analytical experiences that improve how business information is consumed and understood.
Leverage AI-assisted analytics, self-service capabilities, and modern Microsoft technologies to improve insight generation and analytical productivity.
Partner with business stakeholders to translate business questions into meaningful analytical solutions and actionable insights.
Improve the accessibility, consistency, quality, and trustworthiness of enterprise data and intelligence assets.
Lead advanced analytics for Airbnb’s Host Incentives team, driving data-driven strategy, experimentation, and reporting to optimize incentive programs.
Compensation
$180,000—$221,000 USD
Responsibilities
Own measurement strategy for host incentives end to end
Set analytical standards and partner with Operations, Data Science, Finance, and Product leadership
Work with large data sets to solve complex problems using statistical approaches
Apply quantitative analysis, experimentation, data mining, forecasting, and presentation of data
Collaborate with cross-functional teams to provide actionable insights
Requirements
Master's or PhD in a quantitative field (Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research)
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