Where Big Data Jobs Will Be In 2015

Demand for Computer Systems Analysts with big data expertise increased 89.9% in the last twelve months and 85.40% for Computer and Information Research Scientists.

Demand for Python programming expertise increased 96.9% in big-data related positions in the last twelve months.

These and other key insights are from a recent analysis completed of big data hiring trends using WANTED Analytics, the leading provider of data analytics on the workplace.  For purposes of this analysis, the term “big data” is comprised of the four skill sets of data analysis, data acquisition, data mining and data structures. The WANTED Analytics taxonomy references these skill sets when queries are made on the term “big data”.

The company currently maintains a database of more than one billion unique job listings and is collecting hiring trend data from more than 150 countries. WANTED Analytics has never been a client, they provided complimentary access based on my requesting a trial account. Many Forbes readers are interested in staying current on big data hiring trends, which led me to complete this analysis.

Key Take-aways include the following:

• Demand for big data expertise across a range of occupations saw significant growth over the last twelve months. There was a 123.60% jump in demand for Information Technology Project Managers with big data expertise, and an 89.8% increase for Computer Systems Analysts. The following table provides an overview of the distribution of open positions by occupation and the percentage growth in job demand over time.

• The five leading industries with the most job openings requiring big data expertise include Professional, Scientific and Technical Services (27.14%), Information Technologies (18.89%), Manufacturing (12.35%), Retail Trade (9.62%) and Sustainability, Waste Management & Remediation Services (8.20%). The following graphic shows the distribution of open positions between September 1, 2014 to today, December 29, 2014:

• The Hiring Scale is 76 for jobs that require big data skills with 12 candidates per job opening as of December 29, 2014.  The higher the Hiring Scale score, the more difficult it is for employers to find the right applicants for open positions. Nationally an average job posting for an IT professional with cloud computing expertise is open just 47 days.

• The median salary for professionals with big data expertise is $103,000 a year. Sample jobs in this category include Big Data Solution Architect, Linux Systems and Big Data Engineer, Big Data Platform Engineer, Lead Software Engineer, Big Data (Java, Hadoop, SQL) and others.  The distribution of median salaries across all industries shown below:

• San Jose – Sunnyvale – Santa Clara, CA, San Francisco – Oakland – Fremont, CA, and Washington – Arlington – Alexandria, DC are the top three U.S. employment markets for big data related jobs as of today.  Mapping the distribution of job volume, salary range, candidate supply, posting period and hiring scale by Metropolitan Statistical Area (MSA) or states and counties is supported by WANTED Analytics and shown in the following graphic. A summary of the top twenty employment markets is also shown following the map:

• Cisco (NASDAQ:CSCO), IBM (NYSE: IBM) and Oracle (NYSE:ORCL) have the most open big data-related positions today. Cisco, its supplier, partner and support ecosystem companies have 3,613 related big data positions available.  The following table shows the top ten big data employers today, the distribution of jobs, and the number of new jobs added over the last year.

• Python programming (96.90%), Linux expertise (76.60%) and Structured Query Language (SQL) (76%) are the three most in-demand skills in positions that mention big data as a requirement.  The following table provides an overview of the top 10 most in-demand skills:

Courtesy – Louis Columbus

Data Science – What’s Hot and What’s NOT

With data collection happening at every possible step of the consumer funnel and now beyond it, we have access to unprecedented data of consumer that we never had. The challenge emerges when the data is there but we don’t have intention or resource(s) or science to decipher what secret(s) it unveiling . CrowdFlower believe 2015 will be a big year in data science. In simple words - Its not about what company’s have, its now about what they can do with it.

The further argue that the role of the data scientist is also going to go through an evolution where we a Chief Data Scientists will supersede Chief Information Officers when it comes to making key IT and big data related purchasing decisions in the coming year. Overall, companies are going to be paying critical attention to data science and the impact this space will have on organizations of all sizes and focus.

CrowdFlower 2015 Hot & Not List includes:

• Rich Data vs. Big Data: In 2015, companies will rely on rich data–the volumes of data that have actual relevance–instead of big data, to drive growth.

• Data of Everything vs. Internet of Things: Our fascination with the Internet of Things isn’t going away but the aggregated data generated from connected devices will add a new layer of value to IoT.

• Chief Data Scientists (CDS) vs. Chief Information Officers (CIO): In the past, CIOs were the keepers of all things IT but in 2015, Chief Data Scientists will hold the purse strings when it comes to key IT buying decisions that leverage company data.

This is how your Marketing Technology Lanscape looks like in 2015…And YES, its confusing….

Technology has and will keep on playing a critical role in your marketing strategy....and its criticality will go two notches up in near future with the emergence of connected homes and "Connected Beings".   The below Marketing Technology Landscape, a long-running graphical view of the Martech space by Scott Brinker of ChiefMartec. This does highlight the complexity that Martech space has in offering but provides a view for a marketer to chart an optimize path/elements to consider for an effective marketing success.

If you finding it confusing, don't worry...its is confusing…..Confusion or delusion is due to the fact that it not only reflects the change in landscape due to ever increasing categories but also a rise of companies from 1,000 last year to nearly 2,000 this year.

 

You can also click on the links below for additional size or PDF version:

• Marketing Technology Landscape — Hi-Res PNG (2800x2100px, 6.5MB)
• Marketing Technology Landscape — Hi-Res PDF (22.5MB)

Further (recommended) read by Scott Brinker on the above chart is available HERE

Meet Mike – Your Customer in 2015

Meet Mike. Mike is your customer in 2015

He is connected and one who checks his smartphone throughout the day, every day, Religiously .

Mike doesn’t pay much attention to your ads but he always has a an opinion on your company, and will happily post his thoughts on social media. He likes to  consult reviews and pay close attention to what his friends think when making a purchase.

And most importantly, Mike is loyal….even in the products he use for his daily rituals. He’s a big fan of your brand, and wants to keep buying your stuff. But if you make a major mistake or lose his trust, Mike will move somewhere else. You know: to your biggest competitor. And in all of this, he wants your product quick…no delays or waiting period…please…To enable it he is willing to go to your store to pick it…