365 posts · 161 companies · read 2026-10-05

Data

The words data posts use far more than other fields’ posts, and what they ask you to prove. Pick a specialty and level to see posts like the ones you’re applying to.

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The words this field uses

Share is how many of these posts use the word. A word only counts when its posts use it far more than other fields’ posts do, and when at least 5 companies use it. Only use a word where your real experience backs it up. This shows how your field describes the work; it is not a list of claims to add.

365 posts

  1. sql

    “Intermediate to Expert level SQL skills.” Allwebleads, Business Intelligence Analyst

  2. python

    “Basic Python for analysis (not required)” Goody, Data Analyst

  3. analytics

    “Team Leadership & Analytics Engineering:” Successacademycharterschool, Leader of Analytics Engineering

  4. models

    “Prove the model on their hardest problems.” Prior-labs, Applied Scientist, Data Science

  5. analysis

    “Basic Python for analysis (not required)” Goody, Data Analyst

  6. modeling

    “Customer Behavior & Propensity Modeling:” Hims-and-hers, Staff Data Scientist

  7. science

    “Bachelor's degree in science or engineering” Woven-by-toyota, Senior Data Scientist, Perception

  8. datasets

    “Exposure to financial datasets is a plus” Arcanaanalytics, Data Analyst

  9. insights

    “Proficiency in SQL for deriving insights” Aircall, Data Scientist

  10. data quality

    “Familiarity with DBT or data quality frameworks.” Ruby-labs, Billing Data Analyst

  11. analytical

    “Analytical Support and Proactive Insights:” Sourcingcour, Senior Data Scientist - Customer Experience

  12. source

    “Upstream sources change shape without telling us.” Coinhako, Data Engineer (Data Platform)

  13. dashboards

    “Experience building dashboards in Tableau” Airtm, AI Data Scientist

  14. data pipelines

    “Build data pipelines with Databricks Unity Catalog.” Shyftlabs, Data Engineer -Databricks

  15. dbt

    “Experience with Spark, PySpark, SQL and dbt” Andurilindustries, Senior Data Engineer

  16. bi

    “Experience in Power BI or similar software.” Veezu, Data Analyst

  17. aws

    “Experience working with the AWS platform.” Acommerce, Data Engineering Manager (Billing Development)

  18. statistical

    “Statistical analysis of complex datasets.” Known, Data Scientist, Media Consultant

  19. data models

    “Design and build robust data models in SQL.” Ruby-labs, Senior Data Analyst

  20. data platforms

    “Data Platform Architecture & Modernization” Avidxchangeinc, Principal Data Engineer

  21. snowflake

    “experience with Snowflake and Python or R,” Xebiacee, Senior Analytics Engineer/Digital Insights Analyst

  22. machine learning

    “Design data annotation rules for machine learning” Woven-by-toyota, Senior Data Engineering Manager, AD/ADAS

  23. transformation

    “Build and maintain transformation layers.” Triumph-arcade, Senior Data Engineer

  24. airflow

    “Basic Airflow familiarity is nice to have” Ruby-labs, Data Engineer (Marketing Systems)

  25. statistics

    “Statistics background / Predictive analytics.” Allwebleads, Business Intelligence Analyst

  26. data driven

    “Knowledgeable about data-driven marketing” Known, Director, Data & Media Science

  27. tableau

    “Experience building dashboards in Tableau” Airtm, AI Data Scientist

  28. actionable

    “The ability to structure challenges and develop actionable solutions.” Gratia, Business Analyst

  29. warehouse

    “Experience operating large data warehouses” Amazon, Data Engineer, Amazon Ads

  30. computer science

    “Bachelor’s degree in computer science or related field” Reply, Data Engineer

  31. data modeling

    “understanding of data modeling concepts,” Xebiacee, Data Analyst

  32. non technical

    “Communicate effectively with non-technical stakeholders.” Sourcingcour, Senior Data Scientist - Customer Experience

  33. analyses

    “You will author and maintain these SOPs and analyses.” Amazon, Analytics Manager, Product BI

  34. query

    “A slow query is a customer-facing incident.” Vibe, Data Engineer, Measurement & Reporting

  35. visualization

    “Familiarity with data visualization tools” Metropolis, Data Scientist

  36. findings

    “communicating findings clearly to business stakeholders.” Xebiacee, Senior Analytics Engineer/Digital Insights Analyst

  37. quantitative

    “Master’s or PhD in a quantitative field.” Prior-labs, Applied Scientist, Data Science

  38. governance

    “Data Governance, Quality, and Reliability” Thebaltimorebanner, Senior Data Engineer

  39. databricks

    “Experience working on Databricks platform.” Beghouconsulting, Associate Manager - Data Engineer

  40. bigquery

    “Hands-on experience with Google BigQuery” Xebiacee, Data Quality Analyst / Data Tester (Bulgaria/Romania)

What posts ask you to prove

The map of what data posts ask you to prove is still being built. Until then, the words above are what these posts lean on.

Found the words this field's 365 posts use far more than 6229 posts from 9 other fields do, counting each word once per post and only when at least 5 companies use it.