Analytical Quality Assurance Director Jobs

As we continue to increase our presence in the world of Unified Data Analytics and AI, we're looking for a creative, driven, and execution-oriented Enterprise Account Executive to sell and maximize the huge market opportunity that exists for Databricks today. As an Enterprise Account Executive reporting to the Regional Sales Director, you will have experience selling in the Enterprise segment. Your informed point of view on Big Data and Advanced Analytics will guide your successful sales strategy together with our teams and partners, allowing you to provide value to our biggest and most valued customers. The impact you will have: Evangelize Databricks' Unified Analytics Platform powered by Spark and launch the Databricks brand in Enterprise Accounts across all industries Prospect, identify and source new sales opportunities, building pipeline individually and with the Databricks SDR team Engage with business and technical decision-makers and lead them through the evaluation and buying process Exceed individual activity, pipeline, and annual revenue targets Engage with and drive business through local partners (technology partners, ISVs, SIs, and GSIs) Drive customer success and upsell existing customers Create a Territory Strategy across all industries What we look for: 5+ years of experience selling SaaS solutions to Enterprise customers in ASEAN region Proven success in Enterprise Sales roles, ideally in big data, Cloud, or SaaS technology Demonstrable experience in selling innovation, ideally in big data, Cloud, or SaaS technology Solution and business-outcomes-focused sales approach (Command of the Message, MEDDPIC, Challenger Sale) Ability to simply articulate intricate cloud & big data technologies and their business value for the customer 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 5

Official Title: Data Specialist About Us: YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence. We operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery. What It’s Like to Work at YipitData: YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. Why Top Talent Chooses YipitData: Ownership That Matters : You’ll lead high-impact projects with real business outcomes Rapid Growth : We compress years of learning into months Merit Over Titles : Trust and responsibility are earned through execution, not tenure Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for. About The Role: The Data Sp

Summary We are seeking an organised and self-motivated Data Analyst to work embedded in our Everyday Banking team, to help shape the development of one of the world's leading FinTech products. About the opportunity As a Data Analyst (Product) you will enable our product and business segments (Cards, Payments in the Everyday Banking domain to make data-driven decisions. You will monitor, measure and analyse the effectiveness of your product teams’ initiatives, as well as help drive the strategy of your business segment. You are here to establish a data-mindset and thereby to foster a culture of continuous learning and improvement. You will work in a cross functional setup, working closely with other analysts, engineers, designers, and product managers. In this role, you will: Help us set the right goals: Develop clear and measurable targets based on an initiatives’ scope. Improve our overall forecasting and goal setting capabilities. Handle stakeholders: Be an internal go-to-person for your teams when it comes to data related questions. Evaluate initiatives: Support Product experimentation & A/B testing initiatives; design test plans, obtain cross-functional alignment, execute robust analysis, and deliver actionable insights. Share these learnings through clear documentation and concise and empathic communication. Contribute to self-serve data platform: Help building the right analytics foundations ,by pairing up with technical peers, so our product and business teams can interact with data and extract the right insights themselves. Provide monitoring tools: Build the dashboards your team looks at every week to make sure they are impacting our company OKRs. Improve data literacy of organisation: Educate teams to become independent when it comes to data access and understanding function led training and team wide workshops to foster data driven culture. Be part of our data-community: Collaborate with a broad range of analytics t

About PostHog PostHog is your product’s context layer. It ingests and stores your analytics, errors, replays, and business data so you and your agents can query and act on it. We launched out of Y Combinator's W20 cohort . We've since shipped more than a dozen products, including: A suite of analytics and observability tools, including product analytics , replay vision , AI observability , and error tracking PostHog MCP for users and their agents to query and act on their product and business data Data warehouse so users can query product and customer data together using custom SQL insights. We are: Product-led . More than 500K organizations have installed PostHog, mostly driven by word-of-mouth. We have intensely strong product-market fit. Default alive . Revenue is growing incredibly quickly, and we're very efficient. We raise money to push ambition and grow faster, not to keep the lights on. Well-funded. We've raised more than $180m from some of the world's top investors. We're set up for a long, ambitious journey. We're focused on building an awesome product for end users, hiring exceptional teammates, shipping fast, and being as weird as possible . Things we care about Transparency: Everyone can read about our roadmap, how we pay (or even let go of) people, our strategy, and how we work, in our public company handbook . Internally, we share revenue, notes and slides from board meetings, and fundraising plans, so everyone has the context they need to make good decisions. Autonomy: We don’t tell anyone what to do. Everyone chooses what to work on next based on what's going to have the biggest impact on our customers, and what they find interesting and motivating to work on. Engineers lead product teams and make product decisions . Teams are flexible and easy to change when needed. Shipping fast: Why not now? We want to build a lot of products; we can't do that shipping at a normal pace. We've built the company around small teams – autonomous, highly-efficient gro

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. 5 Work Days Per Week Office Near Tai Seng MRT, Tai Seng Exchange Medical Benefits Provided Entitled to Yearly Bonus & Performance Bonus Role Overview The Financial Analyst (Power BI Specialist) plays a key role in strengthening the company's financial planning, reporting, and analytics capabilities. This position is responsible for delivering high‑quality financial insights through advanced data modeling, interactive dashboard development, and automation of reporting processes. Working closely with FP&A, Finance, and cross‑functional business teams, the analyst drives data‑driven decision‑making by transforming complex financial data into clear, actionable insights. The ideal candidate combines strong financial acumen with deep technical expertise in Power BI, ensuring accuracy, efficiency, and scalability across the company's reporting framework. Key Responsibilities Financial Reporting & Analysis Prepare monthly, quarterly, and annual financial reports, ensuring accuracy and timeliness. Conduct comprehensive variance analysis against budget, forecast, and prior periods. Analyze key financial metrics including revenue performance, cost drivers, gross margins, working capital, and operational KPIs. Support budgeting, forecasting, and long‑range financial planning cycles. Provide ad-hoc financial modeling, scenario analysis, and business insights to management. Power BI Development &am

About PostHog PostHog is your product’s context layer. It ingests and stores your analytics, errors, replays, and business data so you and your agents can query and act on it. We launched out of Y Combinator's W20 cohort . We've since shipped more than a dozen products, including: A suite of analytics and observability tools, including product analytics , replay vision , AI observability , and error tracking PostHog MCP for users and their agents to query and act on their product and business data Data warehouse (existing text is fine) We are: Product-led . More than 500K organizations have installed PostHog, mostly driven by word-of-mouth. We have intensely strong product-market fit. Default alive . Revenue is growing incredibly quickly, and we're very efficient. We raise money to push ambition and grow faster, not to keep the lights on. Well-funded. We've raised more than $180m from some of the world's top investors. We're set up for a long, ambitious journey. We're focused on building an awesome product for end users, hiring exceptional teammates, shipping fast, and being as weird as possible . Things we care about Transparency: Everyone can read about our roadmap, how we pay (or even let go of) people, our strategy, and how we work, in our public company handbook . Internally, we share revenue, notes and slides from board meetings, and fundraising plans, so everyone has the context they need to make good decisions. Autonomy: We don’t tell anyone what to do. Everyone chooses what to work on next based on what's going to have the biggest impact on our customers, and what they find interesting and motivating to work on. Engineers lead product teams and make product decisions . Teams are flexible and easy to change when needed. Shipping fast: Why not now? We want to build a lot of products; we can't do that shipping at a normal pace. We've built the company around small teams – autonomous, highly-efficient groups of cracked engineers who can outship much larger comp

About PostHog PostHog is your product’s context layer. It ingests and stores your analytics, errors, replays, and business data so you and your agents can query and act on it. We launched out of Y Combinator's W20 cohort . We've since shipped more than a dozen products, including: A suite of analytics and observability tools, including product analytics , replay vision , AI observability , and error tracking PostHog MCP for users and their agents to query and act on their product and business data Data warehouse so users can query product and customer data together using custom SQL insights. We are: Product-led . More than 500K organizations have installed PostHog, mostly driven by word-of-mouth. We have intensely strong product-market fit. Default alive . Revenue is growing incredibly quickly, and we're very efficient. We raise money to push ambition and grow faster, not to keep the lights on. Well-funded. We've raised more than $180m from some of the world's top investors. We're set up for a long, ambitious journey. We're focused on building an awesome product for end users, hiring exceptional teammates, shipping fast, and being as weird as possible . Things we care about Transparency: Everyone can read about our roadmap, how we pay (or even let go of) people, our strategy, and how we work, in our public company handbook . Internally, we share revenue, notes and slides from board meetings, and fundraising plans, so everyone has the context they need to make good decisions. Autonomy: We don’t tell anyone what to do. Everyone chooses what to work on next based on what's going to have the biggest impact on our customers, and what they find interesting and motivating to work on. Engineers lead product teams and make product decisions . Teams are flexible and easy to change when needed. Shipping fast: Why not now? We want to build a lot of products; we can't do that shipping at a normal pace. We've built the company around small teams – autonomous, highly-efficient gro

About PostHog PostHog is your product’s context layer. It ingests and stores your analytics, errors, replays, and business data so you and your agents can query and act on it. We launched out of Y Combinator's W20 cohort . We've since shipped more than a dozen products, including: A suite of analytics and observability tools, including product analytics , replay vision , AI observability , and error tracking PostHog MCP for users and their agents to query and act on their product and business data Data warehouse so users can query product and customer data together using custom SQL insights. We are: Product-led . More than 500K organizations have installed PostHog, mostly driven by word-of-mouth. We have intensely strong product-market fit. Default alive . Revenue is growing incredibly quickly, and we're very efficient. We raise money to push ambition and grow faster, not to keep the lights on. Well-funded. We've raised more than $180m from some of the world's top investors. We're set up for a long, ambitious journey. We're focused on building an awesome product for end users, hiring exceptional teammates, shipping fast, and being as weird as possible . Things we care about Transparency: Everyone can read about our roadmap, how we pay (or even let go of) people, our strategy, and how we work, in our public company handbook . Internally, we share revenue, notes and slides from board meetings, and fundraising plans, so everyone has the context they need to make good decisions. Autonomy: We don’t tell anyone what to do. Everyone chooses what to work on next based on what's going to have the biggest impact on our customers, and what they find interesting and motivating to work on. Engineers lead product teams and make product decisions . Teams are flexible and easy to change when needed. Shipping fast: Why not now? We want to build a lot of products; we can't do that shipping at a normal pace. We've built the company around small teams – autonomous, highly-efficient gro

About PostHog PostHog is your product’s context layer. It ingests and stores your analytics, errors, replays, and business data so you and your agents can query and act on it. We launched out of Y Combinator's W20 cohort . We've since shipped more than a dozen products, including: A suite of analytics and observability tools, including product analytics , replay vision , AI observability , and error tracking PostHog MCP for users and their agents to query and act on their product and business data Data warehouse so users can query product and customer data together using custom SQL insights. We are: Product-led . More than 500K organizations have installed PostHog, mostly driven by word-of-mouth. We have intensely strong product-market fit. Default alive . Revenue is growing incredibly quickly, and we're very efficient. We raise money to push ambition and grow faster, not to keep the lights on. Well-funded. We've raised more than $180m from some of the world's top investors. We're set up for a long, ambitious journey. We're focused on building an awesome product for end users, hiring exceptional teammates, shipping fast, and being as weird as possible . Things we care about Transparency: Everyone can read about our roadmap, how we pay (or even let go of) people, our strategy, and how we work, in our public company handbook . Internally, we share revenue, notes and slides from board meetings, and fundraising plans, so everyone has the context they need to make good decisions. Autonomy: We don’t tell anyone what to do. Everyone chooses what to work on next based on what's going to have the biggest impact on our customers, and what they find interesting and motivating to work on. Engineers lead product teams and make product decisions . Teams are flexible and easy to change when needed. Shipping fast: Why not now? We want to build a lot of products; we can't do that shipping at a normal pace. We've built the company around small teams – autonomous, highly-efficient gro

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. About the Role In this role, you will build and maintain Workday reporting solutions and partner with cross-functional teams to deliver scalable, high-impact reporting that supports business decision-making. You will serve as a subject matter expert in Workday reporting, data governance, and workforce analytics. This role drives the design, development, and enhancement of advanced reporting solutions and dashboards that enable strategic HR decisio

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

About PostHog PostHog is your product’s context layer. It ingests and stores your analytics, errors, replays, and business data so you and your agents can query and act on it. We launched out of Y Combinator's W20 cohort . We've since shipped more than a dozen products, including: A suite of analytics and observability tools, including product analytics , replay vision , AI observability , and error tracking PostHog MCP for users and their agents to query and act on their product and business data Data warehouse so users can query product and customer data together using custom SQL insights. We are: Product-led . More than 500K organizations have installed PostHog, mostly driven by word-of-mouth. We have intensely strong product-market fit. Default alive . Revenue is growing incredibly quickly, and we're very efficient. We raise money to push ambition and grow faster, not to keep the lights on. Well-funded. We've raised more than $180m from some of the world's top investors. We're set up for a long, ambitious journey. We're focused on building an awesome product for end users, hiring exceptional teammates, shipping fast, and being as weird as possible . Things we care about Transparency: Everyone can read about our roadmap, how we pay (or even let go of) people, our strategy, and how we work, in our public company handbook . Internally, we share revenue, notes and slides from board meetings, and fundraising plans, so everyone has the context they need to make good decisions. Autonomy: We don’t tell anyone what to do. Everyone chooses what to work on next based on what's going to have the biggest impact on our customers, and what they find interesting and motivating to work on. Engineers lead product teams and make product decisions . Teams are flexible and easy to change when needed. Shipping fast: Why not now? We want to build a lot of products; we can't do that shipping at a normal pace. We've built the company around small teams – autonomous, highly-efficient gro

About PostHog PostHog is your product’s context layer. It ingests and stores your analytics, errors, replays, and business data so you and your agents can query and act on it. We launched out of Y Combinator's W20 cohort . We've since shipped more than a dozen products, including: A suite of analytics and observability tools, including product analytics , replay vision , AI observability , and error tracking PostHog MCP for users and their agents to query and act on their product and business data Data warehouse so users can query product and customer data together using custom SQL insights. We are: Product-led . More than 500K organizations have installed PostHog, mostly driven by word-of-mouth. We have intensely strong product-market fit. Default alive . Revenue is growing incredibly quickly, and we're very efficient. We raise money to push ambition and grow faster, not to keep the lights on. Well-funded. We've raised more than $180m from some of the world's top investors. We're set up for a long, ambitious journey. We're focused on building an awesome product for end users, hiring exceptional teammates, shipping fast, and being as weird as possible . Things we care about Transparency: Everyone can read about our roadmap, how we pay (or even let go of) people, our strategy, and how we work, in our public company handbook . Internally, we share revenue, notes and slides from board meetings, and fundraising plans, so everyone has the context they need to make good decisions. Autonomy: We don’t tell anyone what to do. Everyone chooses what to work on next based on what's going to have the biggest impact on our customers, and what they find interesting and motivating to work on. Engineers lead product teams and make product decisions . Teams are flexible and easy to change when needed. Shipping fast: Why not now? We want to build a lot of products; we can't do that shipping at a normal pace. We've built the company around small teams – autonomous, highly-efficient gro

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. We are the Data team within Plaid’s Fraud organization. We build the machine learning systems that power Plaid’s fraud detection products, leveraging Plaid’s network data to help identify and prevent fraud before it happens. Our team owns the end-to-end ML lifecycle, from feature pipelines and model training to production serving and monitoring, ensuring our systems are reliable, scalable, and built to support hundreds of customers and data partners. As a Data Scientist on the Fraud Data team, you will analyze customer and network traffic to understand how Plaid Protect performs across a range of use cases and customer segments. You’ll build dashboards and metrics that provide a clear, shared view of product performance, run backtests to evaluate performance and identify high-impact rules and model strategies, and generate insights that support customer growth and expansion. You’ll also design scalable data models and schemas to enable reliable analysis and reporting, while partnering closely with Product and Engineering to design and analyze experiments for new customer-facing features. Responsibilities: Work at the intersection of product analytics, machine learning, and fraud a

SLSQ427R383 Databricks operates at the leading edge of the unified data, analytics and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first‑mover advantage in today’s ultra‑competitive landscape. As we continue our rapid expansion across Central Europe, we are looking for a creative, execution‑oriented Named Core Account Executive to join the team in Germany and maximise the phenomenal market opportunity that exists for Databricks within the Retail vertical. Reporting to our Senior Director of Enterprise Sales, you will focus on building relationships and closing new business opportunities within two of Germany’s largest Retail companies. Leveraging your consultative sales experience in the Retail vertical, you will help shape the data and AI strategy, identify and progress high-value opportunities, and deliver tangible business outcomes. The impact you will have: p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> You will take ownership of your accounts, define a clear strategy, and relentlessly drive it to exceed revenue and consumption goals. p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> You will turn that strategy into action, executing with urgency and discipline to consistently overachieve your targets. p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> You will build boardroom‑level relationships, becoming the trusted advisor on all things data and AI for senior stakeholders up to and including C‑level. p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> You will uncover and shape new business, expanding use cases and driving deeper platform consumption across your account. p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> You will orchestrate the full Databricks ecosystem, mobilising internal teams to maximise impact and customer value. p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> You will demonstrate compelling value in every engagement, leading confident, insight‑led negotiations that take opportunities all the way to close. What we look for A proven record