Tag Archives: Job Creation
The drive to achieve competitive advantage with Big Data is creating a lot of interesting opportunities for managers and professionals working in the data analytics space. In some cases, new job categories not imaginable just a few years back are being created, and are in demand. “Data scientist” is only one of these descriptions, and there are jobs that don’t require Ph.Ds in statistics. Sometimes, it just takes a little creative thinking to move one’s career in a new and different direction.
In a recent Forbes post, J. Maureen Henderson, head of a market research firm, discussed the ways emerging Big Data expertise is being leveraged for business problems. One University of Tennessee student, for example, is pursuing a post-graduate degree in Big Data analytics to “tell stories from data,” noting that in a previous job, she saw that “there were plenty of talented ‘data’ people and plenty of the talented ‘business’ people; however, the people who could do both were extraordinarily valuable to the firm and to my team’s ability to solve problems. That really got my wheels turning, and I started thinking about what other problems I might be able to solve if I knew more about analytics.”
In the process of exploring the avenues by which big data will deliver value to businesses, some interesting new job titles and descriptions are emerging across the industry. The new generation of jobs being spurred by Big Data are often a blend of stats-savvy and business-savvy skillsets and activities.
Here is a sampling of a few of these blended positions that have recently appeared at online recruiting sites:
Industry analytics manager (pharmaceutical): “Collaborate with cross-functional partners in industry analytics, market analysis and strategy, the managed care contracting organization and brand marketing teams to consult with and deliver deep insights and actionable strategic and tactical recommendations on access and reimbursement drivers of the business. Demonstrate ability to break complex problems down into distinct parts, simplify complexity, and manage uncertainty.”
Data scientist/machine learning expert (online consumer site): “Data science team is looking for a data scientist to work on machine learning, data mining and information retrieval problems. Perform complex analysis on very large data sets using data mining, machine learning and graph analysis algorithms. Build complex predictive models that scale to petabytes of data. Define metrics, understand A/B testing and statistical measurement of model quality. Work closely with product, engineering, and marketing teams to identify, collect and analyze data to answer critical product questions.”
Data anthropologist (marketing firm): “Leverage huge data set and powerful analytical tools to give the public more insight into the digital world. Keep up-to-the-minute with current events and understand the online ecosystem—publishers, consumers, advertisers, analysts, bloggers, vendors, journalists and others who make the internet buzz. Craft stories to create buzz, backed by our data, and share them as tweets or blog posts or press releases or white papers or whatever best suits the material.”
Data scientist/data lover (scholarship fund): “Define and implement the social media measurement strategies and business intelligence analytics that align with marketing and business objectives; perform qualitative, statistical and quantitative analysis; producing meaningful marketing KPI dashboards and delivering routine and ad hoc, cross-channel performance reports with actionable insight. The candidate should be able to identify correlations in cause and effect of email and online/MR and social media integrated campaigns resulting in increased individual donations and stakeholder engagement.”
Systems engineer – big data (game publisher): “Players continue to rack up billions of hours of play — all of it logged, all of the logs frankly rather useless until our lab-coated Big Data scientists work their black magics, transmogrifying unwieldy petabytes through the careful application of open-source and proprietary technologies and bucketloads of intellectual elbow grease. As Systems Engineer – Big Data you’ll provide ongoing support for data warehouse and data services infrastructure and systems, ensuring Big Data van keeps rolling, come hell, high water or technical difficulties. Your exceptional communication skills will help you as you smooth the transition from raw data to actionable insight about the players.”
Data visualization engineer, streaming platforms (streaming video provider): “Own and build new, high-impact visualizations in our insight tools to make data both understandable and actionable. Develop rich interactive graphics, data visualizations of large amount of structured data, preferably in-browser. To deliver operational insights quickly and effectively, we need an excellent suite of interactive tools and dynamic dashboards. Our goal is to raise our operational insight capabilities to a whole new level of excellence that enables us to continuously improve our product while ensuring a flawless experience for our customers.”