From my own experience: Business analyst: mostly focused on requirements gathering and being the middle man between business and dev/IT teams Business intelligence analyst: basically, 3 groups: Infrastructure. Concerned with ETL/ELT-ing data, helping extend or build data models, keep servers up and running, keep the DWH and all the chores around it; basically, a sophisticated high-tech janitor Analytics. They analyze data and are in charge of keeping, extending and building from scratch dashboards; their breakfast is KPIs and explaining to business people what the numbers mean in retrospective; definitely know about the infra side but are more consumers than "suppliers" of the data Mix of both. Basically, they are doing most of the things or participate actively in one or two activities of keeping data and doing stuff with it. Data analyst: pretty much (in my experience, YMMV) a BI analyst with more knowledge of modeling / stats; depending on the "age" of the org, if the org is relatively new to the analytics arena, they'll likely be doing both coding and analysis while if the org is more developed, likely more time spending on modeling Titles vary a lot across companies but that'd be the fundamental role of each in my experience. To some degree, each of them knows the trade of the other(s) but it's what they do most of the time that changes things. Answer from highAsFuckOnAssCrack on reddit.com