Future Jobs: Data Detective

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Future Jobs: Data Detective
Data Detective 


POSITION SUMMARY Enjoy CSI? Hawaii Five-O? Sherlock? Get a kick out of running down leads, ruling out suspects and solving whodunits? Then we have the job for you! We’re looking to hire creative, talented individuals who can help us investigate the mysteries in our big data. What is our data telling us? What secrets does it contain? Every day we uncover new clues concerning the future of our work. Come join the growing team that asks the tough questions and comes up with the “big answers.” 


OVERALL REQUIREMENTS The Data Detective Department (D3) sits within our Data Science Unit as part of the Group CIO Office. As a member of D3, you will work with individuals and teams across our organization to generate meaningful business answers and recommendations from the investigation of data generated by Internet of Things end points, devices, sensors, biometric monitors, traditional computing infrastructure, next-gen fog, mesh, edge, neural capabilities, etc. Currently, much of the data we collect in these areas goes unexamined. The successful candidate(s) will “go where the data is” and pursue what the data is saying. Candidates should be curious, relentless, resilient and diplomatic but never take no for an answer. Although you will be expected to use the latest tools of the big data trade, you do not need to be a data scientist to thrive in this role. D3 employees need to be equally comfortable with being “in the weeds” and with seeing and explaining the big picture. 

The successful candidate(s) will “go where the data is” and pursue what the data is saying. Candidates should be curious, relentless, resilient and diplomatic but never take no for an answer

SPECIFIC RESPONSIBILITIES 

  • ❙ Embed in departments and teams: Work alongside colleagues in different parts of the business to help them solve their problems. Much of this can be done virtually but will often require physical co-location with local teams. 

  • Examine data: Identify and examine existing data sets generated from multiple sources (e.g., office environmental sensors, finance function spreadsheets, etc.).

  • ❙ Find new sources of data: Uncover data sources that are not yet being leveraged (e.g., car parking data, office supplies replenishment rates, etc.). ❙ Ask questions of data: Examine data to surface existing answers and generate new questions. 

  • ❙ Ask questions of people: Work with staff members to find and generate new questions and new answers that are currently unknown (e.g., “In an ideal world, what would you like to know?” “What new information would help you do your job better?”). ❙ Work data sources: Use each new source of data to generate the next source of data.

  • ❙ Triangulate different data sources: Mix, compare/contrast and analyze data sets from multiple data sources. Pursue cross-departmental, company-wide investigations and solutions. 

  • ❙ Write reports and present findings: Create written reports of investigations and recommendations, and develop effective presentations of the findings.


Keep abreast of general developments in data science: Understand the range of technical tools available to support the D3 team’s work. ❙ Understand the competitive environment: Develop an awareness of competitive trends, such as what competitors are doing in the D3 arena. 


SKILLS & QUALIFICATIONS The ideal candidate will come from the following areas and backgrounds: 

  • ❙ Experience in law enforcement, ideally investigative work. 

  • ❙ Legal background, either as a trained attorney, lawyer, barrister or paralegal. 

  • ❙ Training or academic qualifications in data science and data science technologies. (Please note this is not mandatory but welcome.) 

  • ❙ Knowledge/expertise in “civilian” data science reporting tools (e.g., Tableau, Domo, etc.).