Back in the dark ages before everyone decided data needed to be democratized, business intelligence meant wrestling with Excel and praying your SQL was up to snuff. Then came Looker, promising a semantic layer that would finally bridge the gap between analysts and, well, everyone else. The idea was elegantly simple: define your data relationships once and let the tool handle the rest. Quite clever, really, though one does wonder if the promise of a single source of truth ever truly materializes in any organization.
In practice, Looker’s modeling language, LookML, requires a dedicated skillset—it's not exactly point-and-click. Think of it as a beautifully crafted system that demands a devoted priesthood. While Tableau and Power BI offer broader accessibility, Looker excels in data governance and consistent metrics, especially for larger enterprises. Now under Google Cloud’s wing, it’s a solid choice for organizations willing to invest in the learning curve and maintain a robust data modeling practice – though plenty still find themselves yearning for the simplicity of a well-placed pivot table.
Binance advertises a senior analytics engineering role that blends leadership with hands-on data work across BI, market intelligence, and product growth. The responsibilities read like a data-ops...
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Binance advertises a senior analytics engineering role that blends leadership with hands-on data work across BI, market intelligence, and product growth. The responsibilities read like a data-ops scavenger hunt: mentor analysts, design dashboards, run A/B tests, fuse insights across Product, Marketing, Finance, and Big Data, and push advanced analytics into forecasting and optimization. The tech stack is conventional but demanding: SQL, Python or R, and visualization tools such as Tableau, Power BI, or Looker, plus familiarity with blockchain analytics and crypto market data platforms. The requirements demand 10+ years with at least 2 in leadership, crypto or fintech pedigree, and strong communication. What stands out is scale and governance risk—data quality, privacy, and regulatory scrutiny in a fast-moving crypto unicorn. The role promises impact if you can navigate the crypto volatility, hype, and flat structure with autonomy.
Data Analyst - Business Intelligence, Regional Logistics
@ shopee
SG | 2025-12-27
Shopee’s BI Data Analyst posting reads like a hybrid: deep analytics plus data engineering chores, spanning from dashboards to building pipelines for logistics across multiple markets. The role...
read more »
Data Analyst - Business Intelligence, Regional Logistics
shopee
(SG) FULL TIME | JOB LISTED
Shopee’s BI Data Analyst posting reads like a hybrid: deep analytics plus data engineering chores, spanning from dashboards to building pipelines for logistics across multiple markets. The role promises cross-functional bite with Data Science/Engineering and Product, consistent with a data platform that must scale. Core tech stack expectations land on SQL and Python, with big-data tools such as Hadoop, Hive SQL, and Spark, plus ETL, Tableau and Looker for visual storytelling. The tension is real: you’re asked to translate qualitative and quantitative signals into actionable plans, while explaining technical concepts to non-tech stakeholders. It’s a decent all-rounder grind in a growing ecommerce operation; the risk is scope creep and ambiguity around success metrics and career ladders. Salary isn’t disclosed, which is a yellow flag in a market that still cares about pay transparency. Opportunities exist for hands-on impact in logistics optimization and cross-market scale.
The BigQuery Cost Optimization Guide is a valuable resource that offers a deep dive into understanding and managing the complexities of BigQuery costs. It provides practical guidelines and strategies to help you optimize both storage and compute expenses, ensuring you get the most value out of...
Data Analyst - Business Intelligence, Marketplace Operations
@ shopee
SG | 2025-12-27
Shopee’s Regional Marketplace BI role asks a hands-on analyst to stitch SQL and Python into dashboards, data pipelines, and playbooks across multiple markets. You’ll chop large datasets, run ETL,...
read more »
Data Analyst - Business Intelligence, Marketplace Operations
shopee
(SG) FULL TIME | JOB LISTED
Shopee’s Regional Marketplace BI role asks a hands-on analyst to stitch SQL and Python into dashboards, data pipelines, and playbooks across multiple markets. You’ll chop large datasets, run ETL, and ship metrics that drive decisions from fraud to operations, while coordinating with product, data science, and regional teams. The tech footprint is solid but not glamorous: Hadoop/Hive, Spark, Tableau or Looker, and room to apply Generative AI for automation and insights. The challenge is real: balancing fast, operational reporting with robust data models, communicating nuanced findings to non‑technical stakeholders, and keeping up with cross‑market governance. Opportunities hinge on influencing policy and process at scale, plus hands-on exposure to AI-enabled analytics. In a crowded BI market, the role stands out if you value practical impact over buzz and prefer breadth to depth.
Crypto-native Senior Product Analyst role promises seat at the decision table for trading products, with KPI ownership across funnels, liquidity, and growth. You will partner with PMs, engineers,...
read more »
Crypto-native Senior Product Analyst role promises seat at the decision table for trading products, with KPI ownership across funnels, liquidity, and growth. You will partner with PMs, engineers, and designers to surface actionable insights, design experiments, and translate macro crypto shifts into product moves. The tech kit is unsurprising but solid: Python, SQL, and visualization tools (Tableau, Databricks, Looker, Mixpanel) plus a maturity in A/B testing and experimentation frameworks. The focus on market liquidity: depth, spreads, execution quality, and market-making behavior is rare in non-specialist roles and worth the price of admission for someone who likes data as a lever, not a feel-good chart. The caveats lurk: no salary figure, crypto volatility and data quality concerns, and the pressure to own the cross-functional narrative. If you want measurable impact in liquidity-enabled products, this stands out in a crowded market.
Junior Data Analyst - Business Intelligence, Regional Operations
@ shopee
SG | 2025-12-26
Shopee's Regional Operations role promises hands-on BI work across big data, building dashboards and pipelines to measure day-to-day efficiency and strategic impact. The job requires SQL and...
read more »
Junior Data Analyst - Business Intelligence, Regional Operations
shopee
(SG) FULL TIME | JOB LISTED
Shopee's Regional Operations role promises hands-on BI work across big data, building dashboards and pipelines to measure day-to-day efficiency and strategic impact. The job requires SQL and Python, plus familiarity with Hadoop, Hive, Spark, ETL tools, and visualization platforms like Tableau or Looker. It asks for 0-3 years and a business analytics or STEM degree, which is typical, but the real work is data infrastructure alongside reporting, converting qualitative and quantitative inputs into scalable playbooks. The environment is cross-market and cross-functional, so stakeholder management and translating tech concepts into actionable plans matter as much as modelling. The risks include a heavy emphasis on data engineering tasks under a BI banner, potential tooling churn, and the need to navigate regional data governance. Opportunities lie in end-to-end ownership of metrics and practical impact on operations, not just dashboards.
Binance advertises a senior analytics engineering role that blends leadership with hands-on data work across BI, market intelligence, and product growth. The responsibilities read like a data-ops scavenger hunt: mentor analysts, design dashboards, run A/B tests, fuse insights across Product, Marketing, Finance, and Big Data, and push advanced analytics into forecasting and optimization. The tech stack is conventional but demanding: SQL, Python or R, and visualization tools such as Tableau, Power BI, or Looker, plus familiarity with blockchain analytics and crypto market data platforms. The requirements demand 10+ years with at least 2 in leadership, crypto or fintech pedigree, and strong communication. What stands out is scale and governance risk—data quality, privacy, and regulatory scrutiny in a fast-moving crypto unicorn. The role promises impact if you can navigate the crypto volatility, hype, and flat structure with autonomy.
Data Analyst - Business Intelligence, Regional Logistics
shopee
(SG) FULL TIME | JOB LISTED
Shopee’s BI Data Analyst posting reads like a hybrid: deep analytics plus data engineering chores, spanning from dashboards to building pipelines for logistics across multiple markets. The role promises cross-functional bite with Data Science/Engineering and Product, consistent with a data platform that must scale. Core tech stack expectations land on SQL and Python, with big-data tools such as Hadoop, Hive SQL, and Spark, plus ETL, Tableau and Looker for visual storytelling. The tension is real: you’re asked to translate qualitative and quantitative signals into actionable plans, while explaining technical concepts to non-tech stakeholders. It’s a decent all-rounder grind in a growing ecommerce operation; the risk is scope creep and ambiguity around success metrics and career ladders. Salary isn’t disclosed, which is a yellow flag in a market that still cares about pay transparency. Opportunities exist for hands-on impact in logistics optimization and cross-market scale.
Data Analyst - Business Intelligence, Marketplace Operations
shopee
(SG) FULL TIME | JOB LISTED
Shopee’s Regional Marketplace BI role asks a hands-on analyst to stitch SQL and Python into dashboards, data pipelines, and playbooks across multiple markets. You’ll chop large datasets, run ETL, and ship metrics that drive decisions from fraud to operations, while coordinating with product, data science, and regional teams. The tech footprint is solid but not glamorous: Hadoop/Hive, Spark, Tableau or Looker, and room to apply Generative AI for automation and insights. The challenge is real: balancing fast, operational reporting with robust data models, communicating nuanced findings to non‑technical stakeholders, and keeping up with cross‑market governance. Opportunities hinge on influencing policy and process at scale, plus hands-on exposure to AI-enabled analytics. In a crowded BI market, the role stands out if you value practical impact over buzz and prefer breadth to depth.
Crypto-native Senior Product Analyst role promises seat at the decision table for trading products, with KPI ownership across funnels, liquidity, and growth. You will partner with PMs, engineers, and designers to surface actionable insights, design experiments, and translate macro crypto shifts into product moves. The tech kit is unsurprising but solid: Python, SQL, and visualization tools (Tableau, Databricks, Looker, Mixpanel) plus a maturity in A/B testing and experimentation frameworks. The focus on market liquidity: depth, spreads, execution quality, and market-making behavior is rare in non-specialist roles and worth the price of admission for someone who likes data as a lever, not a feel-good chart. The caveats lurk: no salary figure, crypto volatility and data quality concerns, and the pressure to own the cross-functional narrative. If you want measurable impact in liquidity-enabled products, this stands out in a crowded market.
Junior Data Analyst - Business Intelligence, Regional Operations
shopee
(SG) FULL TIME | JOB LISTED
Shopee's Regional Operations role promises hands-on BI work across big data, building dashboards and pipelines to measure day-to-day efficiency and strategic impact. The job requires SQL and Python, plus familiarity with Hadoop, Hive, Spark, ETL tools, and visualization platforms like Tableau or Looker. It asks for 0-3 years and a business analytics or STEM degree, which is typical, but the real work is data infrastructure alongside reporting, converting qualitative and quantitative inputs into scalable playbooks. The environment is cross-market and cross-functional, so stakeholder management and translating tech concepts into actionable plans matter as much as modelling. The risks include a heavy emphasis on data engineering tasks under a BI banner, potential tooling churn, and the need to navigate regional data governance. Opportunities lie in end-to-end ownership of metrics and practical impact on operations, not just dashboards.
