If you are a website or database developer (or an analyst with exceptional technical skills) with anywhere between 1 to 4 years of work experience (ideally in a digital agency environment) who would like to get into marketing analytics then you should apply. More experienced developers are welcome to apply as well.

+ Keen interest in all things web analytics and online optimisation
+ Basic understanding of marketing principles provides a head start
+ Entrepreneurial spirit, business or marketing degree would be good 

+ Strong JavaScript and SQL coding skills, PHP and HTML a bonus
+ Experience with other database related technologies another bonus 
+ Experience with Omniture and Google Analytics would be fantastic
+ Experience with Google Web Site Optimizer would also be useful
+ Basic understanding of HTTP and FTP protocols an absolute must
+ Flexibility, lateral thinking and attention to detail are crucial
+ Ability to respond to client deadlines when necessary
+ Basic Excel, Word and PowerPoint skills

+ Exposure to a growing list of interesting blue chip clients

+ Highly flexible working hours in a dynamic team environment
+ Young start-up with a "work hard, play hard" company attitude
+ Training on industry leading analytics and marketing platforms
+ Freedom to experiment with emerging technologies and new tools
+ Plenty of development and career opportunities in fast growing business
+ And of course you get a salary, maybe even a bonus plus other perks

If the above sounds interesting, please email us at jobs@datalicious.com so we can have a look at your resume and arrange a quick initial phone interview to ask you a few questions before we meet for a proper interview.

Amazon have turned on access to Dynamo, which runs much of the infrastructure behind Amazon Web Services and provided the inspiration for Cassandra. All your data is hosted on SSDs (Solid State Drives) which means it should be pretty damn fast.

In tech terms this is a tuneable-consistency and throughput key-value store. That means you can dial up or down the resources (and cost) depending on your performance and consistency (whether or not the very latest data is available in your query) needs.

This kind of thing is useful in applications where you've got unknown and changing volumes of data turning up that you want to mine in real time, that will eventually grow to enormous volumes that you still need to be able to store and mine quickly. Web analytics is a good example: you don't know how many people will be hitting your web site, so you start with the default "5 writes/second" but can dial it up and back when there's peaks of load. If you use something like NodeDB to do the data collection and inserting, any backlog of data writes will just queue up until it gets in if there's momentary peaks in demand.

Querying these key-value stores isn't as easy as with relational databases, which have had over 40 years of development and can be very flexibly queried. The advantage they hold over relational databases is that they scale linearly. If a query on 100 records takes a second, a query of 100000 records will also take a second provided you throw 1000x the hardware at the database server. Relational databases are very hard to scale this way once you grow past small clusters of machines. With relational database clusters, ensuring each replica of the data is consistent takes up ever-increasing fractions of the resources, meaning the scaling curve is anything but linear.

The full blog post from Amazon.

If you are an analytics professional with at least 2 years of work experience in data-intensive roles (preferably in a digital/direct markering environment) who would like to get into web analytics and data driven marketing then you should apply. More experienced analysts and marketers are welcome to apply as well.

+ Keen interest in all things web analytics and marketing optimization

+ Exposure to a growing list of interesting blue chip clients

+ Highly flexible working hours in a dynamic team environment

+ Young start-up with a "work hard, play hard" company attitude

+ Training on industry leading analytics and marketing platforms

+ Freedom to experiment with emerging technologies and new tools

+ Plenty of development and career opportunities in fast growing business

+ And of course you get a salary, maybe even a bonus plus other perks

If the above sounds interesting, please email us at jobs@datalicious.com so we can have a look at your resume and arrange a quick initial phone interview to ask you a few questions before we meet for a proper interview.

If you're in account management (preferably with a digital agency background) who is keen to enter the world of data and analytics, don't miss this opportunity! We are looking for a highly organised Account Director (with the view of becoming the Client Services Director) with proven success in client servicing and project management.

The account manager will primarily be responsible for managing client relationships through effective communications and account/project management. This will include writing proposals and recommendations as well as project management and reporting. Apart from building great client relationships and delivering quality work, there will also be an expectation to deliver on sales targets.

What you should bring to the table
+ Passion for web analytics and all things digital
+ Positive and results-driven approach at all times 

+ Challenger spirit to deliver to client expectations
+ 5-7 years experience in digital agency environment
+ Strong communications skills, both written and verbal
+ Strong planning, organisation and time management skills

+ Proven ability to manage multiple tasks and projects
+ Ability to build relationship with diverse groups and personalities
+ Advanced Microsoft Word, Excel & Powerpoint a must have

In case you missed it, Datalicious created an interactive web-based data visualisation for The Age newspaper to showcase their data on the liveability of Melbourne suburbs. The Age pulled together scores via a survey for each suburb across a range of metrics such as Low Crime, Eating Out, Low Traffic, and Open Space.

The interactive web application was built using Tableau Public and allows you to adjust how important each metric is for you so that an overall score is calculated for each suburb. Have a play and see how the map colours for each suburb change according to your preferences. The top five suburbs are automatically displayed in a list above the map. South Yarra comes out on top if all metrics are considered equal and you have lots of money. The data visualisation also allows you to filter suburbs by median house price.

A few other key insights:

Would love to do the same for Sydney!