What Does a Data Analyst Do?
About the role
What does a data analyst do?
As a data analyst, someone typically handles data coming from or going into a data warehouse or business intelligence system. They compile the reports, verify the quality (integrity), and use the data to assist executive- and senior-level staff to make informed company decisions. The work can also include information visualization, statistics, and/or database application design, depending on the needs of the organization.
Examples of data warehouses (possibly) include Salesforce, SQL Server 2008, Oracle 11i, and mySQL. These relational database management systems (RDMS) are custom-built specifically for organizations. The logic and programming for even a small database requires expert knowledge, and large ones can require many months and extensive planning. Data analysts often have some formal background in database logic, relational algebra/calculus, and programming, and assist the database developer in constructing a solid schema for the relational database.
When it comes to data, a huge part of the data analyst’s job includes programming in the computer language known as Structured Query Language (SQL). Each database system has its own varient or flavor of SQL, but there are basic rules with SQL that apply across the board. Many newer technologies include Hadoop, data warehousing, and Big Data analysis, which are at the cutting-edge of the data-science world in 2011.
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There are some evolutionary changes in data science – for instance, data mining has become a standard strategy for uncovering patterns. Data mining is heavily reliant on algorithms and statistical methods, which are used by applications such as RapidMiner, Weka, and/or R (the mathematics program), in order to discover knowledge.
In order to be a data analyst, it is almost always mandatory to have at least some college background. It is a rigorous field, much as any computer science-based occupation. Solid knowledge of current data techniques is vital, and being willing to continually upgrade and train for new skills and developments is also imperative. Having a background in mathemathics, computer science/information systems, statistics, finance, or economics will be a benefit; graduate school is also an option, and can assist with advancement.
Related articles
Too many cooks spoil the data warehouse broth (go.theregister.com) Tech job-seekers: Hadoop skills are in high demand (infoworld.com) Big Data Analytics: Trends to Watch For in 2012 (allthingsd.com)
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Not the right fit? Search for What Does a Data Analyst Do? jobs in Heart's Content, Newfoundland and Labrador, Canada
About Vellum Information
Vellum Information is a research and development platform focused around information visualization, web and data mining and analysis, healthcare and global health technology and data utilization.
We have a firm foot in open-source technology and public datasets, and believe that the best solutions are found in the root. It is our job to unearth these depths and make your answers accessible.
Computer science is really an art. They do not teach that in school, but the truth of it is that computers have a common language, and there are infinite dialects of it spoken around the world.
Current projects include:
Heath information technology and public health matters (and how the two meet).
Information visualization and beautiful data. This is a mantra for 2011: Make it simple, make it beautiful. Data can and should be straighforward and appealing. The era of static tables and charts is past.
Database development, web and application deployment and design - expert system design, case-based reasoning systems, knowledge management, and AI applications.
A keen interest in the Cloud and how it can be utilized to deploy an application across endless instances, which ties firmly into the rest of our projects.
Data/web mining and analysis, text mining, and content analysis. Semantic content and ontology creation.
Publishing several reports, as well as working on some academic presentations and publications. Look for us on Amazon and Google Books.
Similar Jobs
What Does a Data Analyst Do?
About the role
What does a data analyst do?
As a data analyst, someone typically handles data coming from or going into a data warehouse or business intelligence system. They compile the reports, verify the quality (integrity), and use the data to assist executive- and senior-level staff to make informed company decisions. The work can also include information visualization, statistics, and/or database application design, depending on the needs of the organization.
Examples of data warehouses (possibly) include Salesforce, SQL Server 2008, Oracle 11i, and mySQL. These relational database management systems (RDMS) are custom-built specifically for organizations. The logic and programming for even a small database requires expert knowledge, and large ones can require many months and extensive planning. Data analysts often have some formal background in database logic, relational algebra/calculus, and programming, and assist the database developer in constructing a solid schema for the relational database.
When it comes to data, a huge part of the data analyst’s job includes programming in the computer language known as Structured Query Language (SQL). Each database system has its own varient or flavor of SQL, but there are basic rules with SQL that apply across the board. Many newer technologies include Hadoop, data warehousing, and Big Data analysis, which are at the cutting-edge of the data-science world in 2011.
Advertisement
There are some evolutionary changes in data science – for instance, data mining has become a standard strategy for uncovering patterns. Data mining is heavily reliant on algorithms and statistical methods, which are used by applications such as RapidMiner, Weka, and/or R (the mathematics program), in order to discover knowledge.
In order to be a data analyst, it is almost always mandatory to have at least some college background. It is a rigorous field, much as any computer science-based occupation. Solid knowledge of current data techniques is vital, and being willing to continually upgrade and train for new skills and developments is also imperative. Having a background in mathemathics, computer science/information systems, statistics, finance, or economics will be a benefit; graduate school is also an option, and can assist with advancement.
Related articles
Too many cooks spoil the data warehouse broth (go.theregister.com) Tech job-seekers: Hadoop skills are in high demand (infoworld.com) Big Data Analytics: Trends to Watch For in 2012 (allthingsd.com)
Advertisement
Share on X (Opens in new window) X Share on LinkedIn (Opens in new window) LinkedIn Share on Facebook (Opens in new window) Facebook Email a link to a friend (Opens in new window) Email Print (Opens in new window) Print Share on Reddit (Opens in new window) Reddit Share on Tumblr (Opens in new window) Tumblr
Like Loading...
Related
Not the right fit? Search for What Does a Data Analyst Do? jobs in Heart's Content, Newfoundland and Labrador, Canada
About Vellum Information
Vellum Information is a research and development platform focused around information visualization, web and data mining and analysis, healthcare and global health technology and data utilization.
We have a firm foot in open-source technology and public datasets, and believe that the best solutions are found in the root. It is our job to unearth these depths and make your answers accessible.
Computer science is really an art. They do not teach that in school, but the truth of it is that computers have a common language, and there are infinite dialects of it spoken around the world.
Current projects include:
Heath information technology and public health matters (and how the two meet).
Information visualization and beautiful data. This is a mantra for 2011: Make it simple, make it beautiful. Data can and should be straighforward and appealing. The era of static tables and charts is past.
Database development, web and application deployment and design - expert system design, case-based reasoning systems, knowledge management, and AI applications.
A keen interest in the Cloud and how it can be utilized to deploy an application across endless instances, which ties firmly into the rest of our projects.
Data/web mining and analysis, text mining, and content analysis. Semantic content and ontology creation.
Publishing several reports, as well as working on some academic presentations and publications. Look for us on Amazon and Google Books.