How to Get a Job in Web Data Analytics?

Web Analyst Jobs
Do You Want A Web Analytics Job?

With the ever-increasing focus on setting up an online presence or the increasing competitiveness of online businesses, there is a need for web data analysts who can help web-based business succeed or thrive online.

A web data analyst researches the activities of users as they interact with a website, identifies the measures critical to the survival of the web business and recommends actions in the form of web analytics reports for web managers, online marketing teams or business owners.

A Day In The Life Of A Data Analyst

Data Analysis: Profiting From Numbers
Data Analysis: Profiting From Numbers

Data Analysts have the opportunity to work in several different domains or sectors, for example as banking data analysts, retail data analysts, telecommunications data analysts and as marketing data analysts.

The marketing data analyst role is one of the more common ones and a marketing analyst may be found analyzing databases of prospects, leads and customers for the marketing department.

In this post, we will take a peak into the day of a marketing data analyst…

How To Write Complicated Or Complex SQL Queries

Master Complex SQL Queries
Master Complex SQL Queries

Many database professionals have a hard time writing complex, complicated or advanced SQL queries for the following reasons.

In a healthcare database project that I consulted on, I had to write fairly complicated and efficient SQL queries for physicians at several practices because of their specialized reporting requirements.

The real problem was not the complexity of the physicians database but it’s poor suitability to the physicians reporting needs.

Based on experience gathered from consulting on several database or data analysis projects, I have observed that writing complex or complicated SQL queries, may prove challenging because of the following:

Why Data Analysts Use Microsoft Excel?

The Data Analysts Career Path
The Data Analysts Career Path

Microsoft Excel is commonly used for data analysis because it’s part of the popular Microsoft Office Suite and it even comes pre-installed on some computers!

Unlike statistical analysis packages like, SAS and SPSS, Excel is relatively inexpensive and widely accessible to small businesses and mid-sized businesses in a variety of industries including healthcare, finance, sales and marketing etc.

Microsoft Excel is used in organizing and analyzing data, performing complex calculations as well as creating graphical displays.

Microsoft Excel’s user-friendly interface makes data entry convenient and it also comes loaded with a wide array of mathematical, statistical, financial functions and a Data Analysis ToolPak.

How Do I Transition Microsoft Access or Excel Data Analyst Skills?

The Data Analysts Career Path
The Data Analysts Career Path

This question was posted by a Microsoft Office Data Analyst who wants to know “How to Upgrade Microsoft Access or Excel Data Analysis skills!

If you need help with a Question or Challenge, be sure to ask it as a comment on this page and I will answer it fully just as I am answering this questions now!

The Challenge Facing A Microsoft Access or Excel Office Data Analyst

My toughest challenge I face today with my career is I am itching for a move within the company I work for.

How To Become A Data Analyst

How To Become A Data Analyst
How To Become A Data Analyst

The data analyst career is one of the popular Information Technology (IT) career tracks available today.

The term data analyst is loosely associated with business data analysts, systems analysts, database analysts, reporting specialists, data researchers, statistical data analysts or marketing data analysts!

However, in this article, I will explain who a data analyst really is and provide a career roadmap or plan for becoming a data analyst.

Who Is A Data Analyst?

The term data analyst refers to someone who works with data or makes sense of the information buried in raw data or draws inferences and conclusions from it.