Analytics Systems Director Jobs

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron's vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate, and advance faster than ever. Department Introduction The Probe Area Manufacturing Engineering (AME) team supports semiconductor manufacturing through data-driven decision making, capacity planning, and continuous improvement initiatives. We collaborate closely with Operations, Industrial Engineering, Process Engineering, and Equipment Engineering to improve factory performance and operational excellence. Our team develops scalable systems, analytics, and business processes that enable manufacturing success. Position Overview The Manufacturing Engineering Intern will support projects focused on manufacturing analytics, process optimization, and operational improvement. This role provides hands-on experience applying Industrial Engineering principles within a fast-paced semiconductor manufacturing environment. The successful candidate will partner with engineers to develop insights, improve reporting solutions, and support data-driven decision making. Responsibilities Analyze manufacturing data and develop insights to improve factory performance. Develop dashboards and reporting solutions that support engineering and

About the Job: LaunchDarkly is looking for a Data Analyst to join our Data & Analytics team in either India or Ireland. In this role, you will focus on building and scaling reliable data models, automating reporting, and supporting global analytics delivery. You will partner closely with the Senior Data Analyst (Revenue & Metrics), Data Engineering, and business stakeholders to translate business logic into clean, scalable datasets. This role plays a key part in ensuring that defined metrics (e.g., ARR, NRR ) are consistently implemented, automated, and delivered across the organization. Responsibilities: Data Modeling & Transformation Build and maintain scalable data models using modern tools (e.g., Snowflake, dbt). Translate defined business logic (e.g., ARR calculations) into clean and reusable datasets. Metrics Implementation Implement and maintain standardized metrics (e.g., ARR, NRR , churn) in the data layer. Ensure consistency across dashboards and reports. Automation & Pipeline Support Work with Data Engineering to automate data pipelines and reduce manual reporting processes. Dashboarding & Reporting Develop and maintain dashboards that provide consistent and reliable visibility into business performance. Data Quality & Validation Validate data outputs, identify inconsistencies, and support reconciliation efforts across systems (e.g., Salesforce, billing systems). Global Collaboration Partner with teams across the US and EMEA to deliver timely and high-quality analytics outputs. Qualifications: Typically requires a minimum of 5 years of related experience in data analytics, business intelligence, or analytics engineering Strong SQL skills and experience working with structured and large datasets Experience with modern data tools (e.g., Snowflake, dbt, Looker or similar) Experience building and maintaining data models and dashboards Experience implementing business logic into data transformations Strong attention to detail and abilit

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location F10A Singapore, 1 North Coast Avenue Singapore 757432 Department High Bandwidth Memory Product and Systems Engineering, Industrial Engineering Management Project Title AI-Enabled High Bandwidth Memory Sample Planning and Workflow Optimization Project Description As an intern in the High Bandwidth Memory Product and Systems Engineering Industrial Engineering team, you will participate in a structured project to improve the visibility and planning of High Bandwidth Memory sample workflows through data analytics, dashboard development, and Artificial Intelligence. The project focuses on mapping the end-to-end sample workflow from Die Bank through probe, test, shipment, and the Reliability Lab. The intern will develop an AI-Enabled solution to predict sample arrival and reliability start dates, forecast burn-in resource demand, automate selected notifications, and provide operational insights through interactive dashboards. The internship provides hands-on exposure to semiconductor sample logistics, process documentation, predictive analytics, business intelligence, and workflow optimization. The intern will collaborate with engineering, planning, operations, and information techn

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Sr. Full Stack AI Engineer at Micron, you will be part of the FE YMS AI Engineering Team, where you will design and deliver next-generation, AI-native solutions. In this role, you will focus on building intelligent, scalable systems that integrate advanced AI capabilities—including yield analytics and improvement solutions, data ETL pipelines, machine learning/LLM applications, and agentic workflow orchestration. You will partner with multi-functional team members to translate complex business challenges into adaptive, high-performance solutions that employ autonomous agents and workflow automation to drive decision-making and productivity. While your primary focus will be within YMS AI Solutions, the applications and solutions you build will be designed for reuse and scale, enabling enterprise-wide impact across Micron’s global operations. We require a minimum of 3+ years of software engineering experience involving medium- to high-complexity design and implementation. Having experience in the semiconductor industry is ad

Deeply understanding what’s in the enterprise data has been a challenge that Databricks has been addressing by providing analytics and machine learning tools. From data warehousing with Databricks SQL to large-scale distributed processing with Spark and advanced ML tools for experimentation and model serving, we empower our customers to gain insights and drive innovation. To enable all of this on Databricks, making data ingestion seamless is crucial. That’s the mission of the Ingestion Core Team: to make the ingestion of all data—structured and unstructured—simple, reliable, and efficient. Simplifying the complex is hard, and that’s where you come in. This role requires building distributed platform systems to incrementally ingest high-volume, petabyte-scale data from diverse sources—including cloud storage (SQS, ADLS, GCS), databases (Oracle, SQL Server, MySQL, Postgres), and file sources (Google Drive, SharePoint)—at high throughput and low cost. The data includes structured formats (JSON, Parquet, CSV) as well as unstructured data (text, images, docs, PPTs, and blobs), all of which land in Delta Lake with schema evolution and change data capture (CDC) capabilities. Join us in making data ingestion effortless and be part of the team that powers the future of AI + data at Databricks! As an engineer on the team, you will work on projects that: Build distributed infrastructure to ingest data from diverse sources and support streaming ingestion, incremental processing, and replication. This isn’t just about building plugin connectors. Reduce end-to-end latency, increase throughput, and reduce costs from the time data appears in source systems to when it is available in Delta Lake. Design and optimize streaming and distributed workloads for throughput, cost, latency, reliability, and scale. Optimize streaming workloads by exploring and applying ML techniques. Build monitoring and observability capabilities (customer-facing and internal) that

CSQ427R351 At Databricks, we aim to empower our customers to solve the world's most challenging problems using the Data + AI Platform while putting trusted data and AI in the hands of every business user. As a Senior Scale Solution Engineer, you are a technical anchor for our scaled customer motion, advising customers across many stages of their lifecycle: from pre-sales evaluation through onboarding and into production. You independently take on complex engagements and build and improve AI-augmented workflows that enable the whole team to deliver high-quality guidance at scale. The impact you will have: You will ensure customers have an excellent experience by independently owning engagements across their lifecycle. You will be the go-to expert on the Databricks Data + AI Platform, owning technical direction and building reusable AI-augmented workflows. You will work directly with multiple customers concurrently and set the quality bar for the team. What we look for: Excellent communication and interpersonal skills, with the ability to assess customer needs, foster relationships, address objections, and effectively showcase the value of the Databricks platform. Undergraduate degree or higher in Computer Science, Information Systems, or similar relevant experience. 4+ years of experience in a technical role, preferably in the Data, AI, or Cloud field. Deep knowledge of at least one of the following cloud platforms, AWS, Azure, or GCP; familiarity with more than one is a plus. Knowledge of AI-driven development with programming languages like Python or SQL, including building and extending AI-augmented workflows. Understanding of the end-to-end data analytics and data engineering workflow, and their trade-offs. Excellent time management and prioritization skills. Bonus: Experience building AI tooling and automation, consulting or pre-sales, or with agentic solutions. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — in

CSQ327R201 At Databricks, we aim to empower our customers to solve the world's most challenging problems using the Data + AI Platform while putting trusted data and AI in the hands of every business user. As a Scale Solution Engineer, you play a critical role in advising customers across many stages of their lifecycle: from pre-sales evaluation through onboarding and into production, by building and working with AI-augmented workflows that enable one engineer to deliver quality guidance at scale. The impact you will have: You will ensure customers have an excellent experience by providing technical assistance across their lifecycle. You will become an expert on the Databricks Data + AI Platform and guide customers in making the best technical decisions through AI-augmented workflows. You will work directly with multiple customers concurrently to provide technical solutions. What we look for: Excellent communication and interpersonal skills, with the ability to assess customer needs, foster relationships, address objections, and effectively showcase the value of the Databricks Data + AI Platform. Undergraduate degree or higher in Computer Science, Information Systems, or similar relevant experience. 1+ years of experience in a technical role, preferably in the Data, AI, or Cloud field. Knowledge of at least one of the following cloud platforms, AWS, Azure, or GCP, is required. Knowledge of AI-driven development with programming languages like Python or SQL. Understanding of the end-to-end data analytics and data engineering workflow. Excellent time management and prioritization skills. Bonus: Experience in consulting or pre-sales roles, or with agentic solutions. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquar

SVP, Americas Sales Location: Remote, Americas Reports to: Chief Revenue Officer About SingleStore SingleStore helps leading enterprises break free from legacy systems and fragmented data architectures with a unified, cloud-native data platform built for real-time transactions and analytics at scale. Our platform helps customers modernize data infrastructure, accelerate AI initiatives, and drive meaningful business transformation. Our customers operate in data-intensive industries where performance, scalability, and data reliability are mission-critical. We partner with them to solve complex business and technical challenges and turn data into measurable outcomes. The Opportunity SingleStore is seeking an accomplished, strategic, and execution-oriented sales leader to serve as SVP, Americas Sales. This executive will own the Americas go-to-market motion across Enterprise, Commercial, and Strategic segments, with leaders and teams rolling up to this role. The SVP, Americas Sales will be accountable for growth across new logo acquisition, expansion, forecast performance, and long-term customer value. This leader will set the operating rhythm for the Americas sales organization, develop a high-performing leadership team, and partner closely with the CRO and cross-functional executives to scale a predictable, value-led revenue engine. This is an opportunity to shape the next phase of SingleStore’s growth while helping customers modernize their data environments and build the foundation for real-time applications and AI-driven initiatives. What You’ll Do Own the Americas sales strategy and revenue plan across Enterprise, Commercial, and Strategic segments. Translate company priorities into clear regional goals, coverage models, account strategies, resource plans, and execution priorities. Lead, coach, and develop the Americas sales leadership team, creating clarity of ownership and consistent standards across segments. Build a culture of accountability, urgency, customer

Cordance is dedicated to accelerating the growth of vertically focused business-to-business (B2B) software-as-a-service (SaaS) companies through acquisition and long-term tactical and financial guidance. We’re experienced operators and subject-matter experts with a passion for software and building businesses. We partner with founders to help them scale their businesses and realize their companies’ full potential. We look for businesses with strong leadership and high potential for profitable growth, and work together to increase year-over-year revenue, company efficiency, and impact. Cordance envisions that all companies we work with achieve their full potential. We embrace what makes each company great and build on those foundations. We believe in elevating a company as it scales, delivering dignity to the organization and its employees, and sharing a passion for building a legacy. Position Overview The Data Architect will define and lead the enterprise data architecture for Cordance Commerce, with primary responsibility for unifying reporting platforms, data models, and analytics capabilities across Solutions, Secure Retail, Upright, and Pearl Dive. This is a hands-on technical leadership role for someone who can turn fragmented operational data and customer-specific reporting into a scalable, governed, and reliable data platform. The role partners closely with Database Administrators, Business Intelligence professionals, Engineering, Product, Finance, Customer Success, and business leaders. The Data Architect will establish a practical migration strategy that separates analytical workloads from transactional systems, protects product performance, preserves critical customer reporting, and enables a trusted source of data across the portfolio. Key Responsibilities Own the target-state data architecture and roadmap for a unified reporting and analytics platform across Cordance Commerce products. Assess current transactional databases, data pipelines, reporting too

FEQ427R29 Solution Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Sr. Field Engineering Manager for the team. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Apache Spark™, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: 7+ years in a customer-facing pre-sales, technical architecture, or consulting role Experience designing and architecting distributed data systems Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R Experience supporting Public Sector clients Have built solutions with public cloud providers such as AWS, Azure, or GCP Expertise in

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Data and Storage Services team is responsible for Affirm's data infrastructure across OLTP and OLAP systems, spanning critical online checkout databases, batch orchestration, streaming infrastructure, event-driven frameworks, BI, analytics tooling, large-scale data platforms, and agentic data tools such as semantic layers and internal platform data applications. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale. The Online Storage team provides a set of managed databases as a platform, used to persist data for all Affirm services. Our platform enables self-service access to OLTP storage systems, including Relational DB(MySQL), DynamoDB, Distributed SQL, Cache(Redis). As a team, we are responsible for various data and access patterns, including but not limited to mission-critical financial transactional data, data science models, and any new persistence use case. These responsibilities require us to learn and gain deep expertise in various database systems. We are looking for a highly skilled and detail-oriented Staff Software Engineer who can drive the technical roadmap for our Databases (Relational and KeyValue) identifying opportunities to improve how we build, productize, operate and improve this mission-critical infrastructure to unlock substantial value within our business. You’ll have the opportunity to directly influence your team’s roadmap in close collaboration with your peers, share your knowledge and expertise with others and learn from some of the best on our shared mission to deliver honest financial products that improve lives. What You'll Do As an integral member of the Online Storage team, You will be responsible for setting technical strategy for you

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Data and Storage Services team is responsible for Affirm's data infrastructure across OLTP and OLAP systems, spanning critical online checkout databases, batch orchestration, streaming infrastructure, event-driven frameworks, BI, analytics tooling, large-scale data platforms, and agentic data tools such as semantic layers and internal platform data applications. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale. The Online Storage team provides a set of managed databases as a platform, used to persist data for all Affirm services. Our platform enables self-service access to OLTP storage systems, including Relational DB(MySQL), DynamoDB, Distributed SQL, Cache(Redis). As a team, we are responsible for various data and access patterns, including but not limited to mission-critical financial transactional data, data science models, and any new persistence use case. These responsibilities require us to learn and gain deep expertise in various database systems. We are looking for a highly skilled and detail-oriented Staff Software Engineer who can drive the technical roadmap for our Databases (Relational and KeyValue) identifying opportunities to improve how we build, productize, operate and improve this mission-critical infrastructure to unlock substantial value within our business. You’ll have the opportunity to directly influence your team’s roadmap in close collaboration with your peers, share your knowledge and expertise with others and learn from some of the best on our shared mission to deliver honest financial products that improve lives. What You'll Do As an integral member of the Online Storage team, You will be responsible for setting technical strategy for you

Senior Product Engineer At Amplitude, we’re building the operating system for digital products. While we’re known as the leader in product analytics, our Statsig team is redefining how companies learn, iterate, and ship better experiences. Statsig is one of the fastest-growing and most strategic bets at Amplitude. It sits at the intersection of product, data, and decision-making, and we’re looking for a Product Engineer to help take it to the next level. Why this role matters This isn’t a “take tickets and ship code” role. You’ll operate as an owner, shaping both the product and the technical direction of a system used by some of the most sophisticated product teams in the world. You’ll work across the stack, React frontend, Node.js and Python backend, to build intuitive, high-performance experiences that make experimentation accessible, powerful, and trustworthy. What you’ll do Own critical product surfaces end-to-end from ideation to production and beyond Drive product direction in partnership with design and product leaders Build and evolve systems across React, Node.js, and Python that scale with customer growth Leverage modern AI tooling to dramatically accelerate development, prototyping, and iteration cycles Raise the bar for engineering quality - code, architecture, and user experience Lead by example - through hands-on development, technical mentorship, and thoughtful decision-making Move fast on ambiguous problems, turning ideas into shipped, customer-facing value What we’re looking for 5+ years of experience in software engineering (full stack experience preferred) Education: B.S. in Computer Science or an equivalent technical field Proven experience operating at a senior-level scope. You’ve led large, ambiguous initiatives with significant business impact Strong full-stack expertise (React + backend systems such as Node.js and/or Python) A deep sense of ownership - you don’t wait for direction; you create it Exceptional product taste - you care deeply ab

About the Team The GTM Intelligence Solutions team builds the data and decision systems that help customer-facing teams take the right action at the right time. We combine product telemetry, commercial data, customer context, and field activity to identify account health and opportunity, recommend actions and use cases, deliver intelligence through field-facing products and agent workflows, and measure what happens next. We’re looking for a Data Scientist to help build the next generation of GTM intelligence at OpenAI. You will own a flexible portfolio of high-impact decision data products and work closely with Technical Success and other GTM teams to ensure the work drives better decisions. About the Role As a Data Scientist on GTM Intelligence Solutions, you will define and build the intelligence systems that help customer-facing teams prioritize accounts, identify risks and opportunities, choose interventions, and understand what worked. You will set the roadmap and methodology, build canonical features, ship reliable production workflows, monitor quality and adoption, and improve the systems using field feedback and business outcomes. This role combines hands-on technical depth with strong product and business judgment. You should be as comfortable writing production Python and advanced SQL, defining durable data contracts, and operating decision products as you are evaluating a ranking approach or designing an experiment. You will personally ship reliable first versions and partner with Analytics Engineering and Data Engineering when work requires shared infrastructure or additional scale. In This Role, You Will Set the roadmap and methodology for GTM intelligence and decision products, using deep stakeholder discovery to probe beyond stated requests, uncover the underlying decisions, workflows, constraints, and measures of success, and translate them into measurable systems. Own the full lifecycle of intelligence products, including feature definition, methodo

FEQ327R400 Mission Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: 7+ years in a customer-facing pre-sales, technical architecture, or consulting role Experience designing and architecting distributed data systems Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R Have built solutions with public cloud providers such as AWS, Azure, or GCP Data Engineering technologies ( Ex: Spark, Hadoop, Kafka )