The Database Analyst will maintain data storage; assess database design; and gather, organize, and interpret statistical information based on the data in the database.
Database systems that store information in very particular ways are the domain of a database analyst.
A database analyst is a member of the traditional corporate IT teams that manage data assets through extremely focused investigation and operations.
Data modeller is another name for a database analyst.
Oversees attempts to create and modify databases.
Creates and uses accurate, effective, and secure databases.
Keeps up-to-date and accurate understanding of data management and storage best practises.
Ensures that databases are created with the least amount of expense while still meeting criteria and requirements.
Assures that database projects are finished on schedule and under budget.
Creates and keeps up with standards and documentation.
Helps Senior Database Analyst by locating and fixing issues connected to the operation of the database management system software or tools for production and/or applications development.
Collects, arranges, and evaluates statistical data from the database to produce reports for higher management and respond to their inquiries.
Does further relevant tasks as required.
Prolonged periods sitting at a desk and working on a computer.
Excellent communication and presentation skills
Ability for critical thinking
Creativity
Having a systematic and logical approach to problem-solving
Team working skills
Excellent communication skills both in writing and speaking.
Competent with the Microsoft Office Suite or comparable programmes.
Excellent attention to detail and organization.
Knowledge of the programming languages used in databases.
Having knowledge of database architecture.
Strong mathematical abilities to assist with data collection, measurement, organisation, and analysis Programming skills in languages including SQL, Oracle, R, MATLAB, and Python
Technical expertise in database design and development, data models, data mining techniques, and segmentation.
Knowledge with databases, programming (Javascript, XML, or ETL frameworks), and reporting packages like Business Objects
Ability to analyze data sets using statistical software such as Excel, SPSS, and SAS.
A master of data processing frameworks like Hadoop and Apache Spark
Having experience with data visualisation programmes like Tableau and Qlik
Understanding of creating and using the most precise methods to solve problems on datasets
Amazon, Netflix, Google, Intuit, Facebook, Apple, CISCO Systems. Smaller companies include Focus KPI, Affinity Solutions, Norgate Technology, Financial giants like Paypal and Barclays, etc.
yes
Anand S.
The data analytics industry is projected to create over 11 million jobs by 2026 and increase investments in AI and machine learning by 33.49% in 2022 alone.
The aCAP test, which covers all seven domains of the analytics process (Business Problem Framing, Analytics Problem Framing, Data, Methodology Selection, Model Building, Deployment, and Lifecycle Management), must be passed before one may proceed.
SRM University Chennai
VIT Vellore
Jamia Hamdard, New Delhi
JNU Delhi
MIT-WPU Pune
Peace University
Many platforms like Coursera, linkdin, udemy, etc offer online certification courses in this field.