Database Analyst

Job Description

Data Analysts are required in several job sectors like health care, banking, and government. Developing and maintaining databases, data systems, reorganizing data in a readable format. Performing analysis to assess quality and meaning of data. Filter Data by reviewing reports and performance indicators to identify and correct code problems.

According to Glassdoor, the estimated total pay for a Data Analyst is $76,676 per year in the United States area, with an average salary of $62,340 per year. Financial and technology companies tend to offer higher wages than average. The cross-market average data analyst salary is approximately $73,528. Data analysts usually move on to higher positions such as senior data analysts, data scientists, data analysis managers, business analysts, etc. Higher responsibilities also involve a significant pay rise. It is estimated that the average annual salary of data scientists starts at about $95,000, while that of analytical managers starts at about $106,000.

Data analysts examine information using data analysis tools and help their teams develop insights and business strategies. You will need skills in math, statistics, communications, and working with tools designed to do data analytics and data visualization. Explore this high-demand career.

  • Using data to find answers to your questions means figuring out what to ask in the first place, which can often be quite tricky. To succeed as an analyst, you have to think like an analyst. It is the role of a data analyst to uncover and synthesize connections that are not always so clear.
  • R and Python - Anything Excel can do, R or Python can do better and 10 times faster. Like SQL, R and Python can handle what Excel can not. They are powerful statistical programming languages used to perform advanced analyses and predictive analytics on big data sets. And they are both industry standard. To truly work as a data analyst, you will need to go beyond SQL and master at least one of these languages.
  • Data analysis tools such as Excel, SQL, SAP and Oracle, SAS, Power BI and Tableau.
  • Web analytics techniques and tools such as Google Analytics. Strong mathematical skills to help collect, measure, organize and analyze data
  • Experience in handling reporting packages like Business Objects, programming (Javascript, XML, or ETL frameworks), databases

The following are examples of responsibilities data analyst may need to assume:

  • Use statistics and specialized software to describe and identify data trends to help organizations achieve their business goals.
  • Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
  • Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
  • Data reliability is ensured.
  • Gain business insights by interpreting the numbers.
  • Create charts, visuals, reports, present data in clear visual formats such as infographics Preparing reports for the management stating trends, patterns, and predictions using relevant data.
  • Using automated tools to extract data from primary and secondary sources.
  • Removing corrupted data and fixing coding errors and related problems.
  • Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
  • Clean/gather data for analysis.
  • Find out what information customers need, to make good business decisions