As humans we all process information through filters and one of those filters is your current job title / background!
Though your job title may work well for you right now, the moment you try and take on a different role, job title / background / responsibility, you end up running into a brick wall! … it is like people fold their hands and adopt a challenging, prove-it-to-me attitude!
So, in today’s post, I will answer a question submitted by (Jan) who has worked 15+ years for one of the largest IT Corporations “but still feels boxed-in / walled-in” by his current job title!
Are you matching your strengths to your opportunities or are you just being ideological … interested only in following your own ideas even when they won’t get you any results?
Here is a situation that illustrates the challenges of being ideological versus being results oriented. It is a situation that illustrates the challenges of learning an enterprise software like Oracle compared to a poor man’s database like Microsoft Access.
Are you wondering about who this situation involves? You are safe my friend because today, I will mainly be talking about me 🙂
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.
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…
Are there any required skills for entry-level data analyst job postings knowing that hiring managers are quite creative with their help wanted ads?
Keeping in mind that there is no “one size fits all” job requirement for data analysts or any information technology (IT) job, here are some of the more common skill requirements:
Number crunching, analytical or numerical skills & background
Reporting experience using Excel, Microsoft Access, Crystal Reports / Business Objects, SQL Server Reporting Services or any Graphing tool
Relational Database Design & Development with tools like MySQL, SQL Server, Microsoft Access or Oracle
A passion, interest, aptitude or background in number crunching or analytics
Many data analysts started out using Microsoft Access because it is a popular and versatile data analysis tool.
Microsoft Access provides a one-stop relational database, sql querying and reporting environment and it also provides data analysts with the ability to build a powerful graphical user interface (UI) for collecting data.
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:
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.
According to projections by IDC (a well-known research firm), the amount of computing, web and digital data will increase fivefold by 2012 as a result of an upsurge in sensor signals, surveillance tapes, social network chatter, public records and more.
The increases in availability and storage of corporate transactional data within the last decade has left companies scrambling for data analysts trained in interpreting or making inferences based on data.
With the help of data analysts, companies can improve the speed and quality of their business decisions, manage risks better, predict the likelihood of favorable or unfavorable outcomes or provide their management team with improved predictive business intelligence.
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.