Careers
BUSINESS
Intelligence
in
Alex, Bingjing, Louisa & Tony
Learning
objectives
Overview of the landscape of roles within the field of Business Intelligence
Distinction between different roles with respect to their focus on Description, Diagnosis, Prediction, and Prescription
Tools and skill-sets that might be required to qualify for these roles
Trends and growth opportunities associated with each role
Top Industries hiring
big Data expertise
1. Professional, Scientific & Technical Services
2. Information Management
3. Manufacturing
4. Retail Trade
5. Waste Management
Landscape:
6. Finance & Insurance
27%
19%
12%
10%
8%
8%
Wanted Analytics via Forbes, 2014
BI Team Manager
BI Consultant
Visual Analytics Specialist
Data Scientist
OR Scientist
description
diagnosis
Prediction
Prescription
Roles
BI TeAM CONSULTANT
Role Description:
Provide clients with services and advisory based on industry best practices and domain experience in order to conduct assessments, develop strategies, and implement solutions related to:
Enterprise Information/Data Management Architecture
Enterprise Data Warehouses and Datamarts
Analytics and reporting solutions
BI TeAM CONSULTANT
Skillsets:
Deep experience in a particular software package, domain/industry, and/or methodology
Example Toolsets:
- Large firms: Commercial analytics platforms, e.g. SAS, Oracle BI, IBM, Teradata, Tableau, etc.
- Small firms: Open source software, e.g. R Studio, Hadoop, Weka, GAMS, Jaspersoft, etc.
Strong communication and change management skills
Skillsets exceeding or matching those expected of your level in the client organization
BI TeAM CONSULTANT
Trends & Growth Potential:
Very hot market right now with companies trying to quickly hop onto the "Big Data Bandwagon".
Other companies with more analytics maturity are electing to build their own self-sufficient analytics teams without outside help.
BI Team Manager
Role Description:
Provide for...
Team Leadership
Communications
Quality Assurance
Management Needs
Project Management
BI Team Manager
Role Description:
Ensure efforts remain aligned
with stakeholder interest and/or business objective.
BI Team Manager
Support team to develop consulting, domain, and analytical experience.
Role Description:
BI Team Manager
Promote a data-driven culture within leadership circles and across the organization.
Role Description:
BI Team Manager
Skillsets:
- Ability to lead high-performing individuals and leverage their skills effectively
- Strong communication skills; fluency in both business-speak and tech-speak
- Agile project management experience
- Analytical background complemented with business & leadership experience
Example Toolsets:
- Typical tools used by managers in IT settings
- In smaller teams, may need some experience with the tools used by the team
Trends & Growth Potential:
There is a high demand for people with balanced technical and business skillsets to fill this role
VISUAL ANALYTICS SPECIALIST
interactive & innovative complex data visualizations
Create
Role Description:
Build
analytics ecosystems to help make better business decisions, faster
Distribute
dashboards and data visualization projects that provide insight to drive business decisions
Skillsets:
Excellent communication skills and strong teamwork skills
Example Toolsets:
- Typical tools for accessing and handling data, e.g. Tableau Desktop, Qlik (formerly Qlikview), Jaspersoft or dashboard modules within an ERP
VISUAL ANALYTICS SPECIALIST
Business Intelligence experience and Tableau Desktop experience
Capable of presenting numerical findings in a visual format easily understood by business
VISUAL ANALYTICS SPECIALIST
Trends & Growth Potential:
Huge growth in Big Data, both structured and unstructured, drives the great need of this role
Business Leaders need the insights presented in simple visual formats that aid and speed decision making
DATA SCIENTIST
Role Description:
Data Scientist
Data Analyst
DATA SCIENTIST
Role Description:
Clean, organize, structure data, create data models, analyze for trends
Data Mining
Innovation
Predictive Modeling
Develop predictive models for to maximize efficiency
Make recommendations to improve ROI and come up with innovative ideas
DATA SCIENTIST
- Advanced degree in Computer Science, Statistics, Applied Math, or Engineering
- Experience/expertise with some of the following analytical methodologies: Statistical Analysis, Machine Learning, Data Mining, Big Data Analytics, etc.
Skillsets:
Example Toolsets:
- Proficiency with some of the following analytical tools, e.g. Python, SAS, R, SPSS Tableau, Spotfire, D3, SQL, Scala, Java. etc.
Able to work in dynamic team environment & manage communication with multiple stakeholders
DATA SCIENTIST
Trends & Growth Potential:
The global management firm McKinsey & Company recently reported that by 2018 there will be a shortage of 140,000 to 190,000 data scientists. This represents a 50 to 60% talent gap to meet projected demands.
"Sexiest job of the 21st century"
"Data scientist today are akin to Wall Street "Quants" of the 1980s and 1990s."
- Harvard Business Review
OR SCIENTIST
Role Description:
- Identify and define business problems, such as those in:
production
logistics
sales
- Examine data to figure out what is relevant to the problem
DISCOVER
OR SCIENTIST
Role Description:
- Use mathematical modelling, simulation, and mathematical optimization to analyze information and develop practical solutions to business problems
RESEARCH
Optimize assembly line performance
Minimize inventory level
Maximize profit
OR SCIENTIST
Role Description:
- Advise managers and other decision makers on the impacts of various courses of action to take in order to address a problem
REcommend
- Write memos, reports, and other documents, outlining their findings and recommendations for clients, managers, executives, and other officials
Skillsets:
OR SCIENTIST
Communication skills
Critical-thinking skills
Communicate technical information to people who do not have a technical background.
Figure out what information is relevant to work; evaluate the costs and benefits of alternative solutions before making a recommendation.
Ingenuity
Think creatively to solve problems.
Diagnose problems on the basis of information given to them by others; analyze relevant information to solve the problems.
Problem-solving skills
Use models and methods rooted in statistics, calculus, linear algebra, and other advanced mathematical disciplines.
Math skills
Report findings & recommendations.
Writing skills
Interpersonal skills
Team player.
Example Toolsets:
Simulation softwares, and Optimization softwares, e.g. R, GAMs, LINDO, Simio, Excel, etc.
OR SCIENTIST
Trends & Growth Potential:
About 73,200 jobs in NA in 2012; Demand Should continue to grow
- US Bureau of Labour Statistics
Employment is projected to "grow by 27% from 2012 to 2022", "much faster than the average of all occupations
- US Bureau of Labour Statistics
Blurred Roles?
description
diagnosis
Prediction
Prescription
description
diagnosis
Prediction
Prescription
Blurred Roles?
Team Selection
VS.
VS.
INDUSTRY TREND
"BIG DATA"!
$300 Billion
potential annual value to US healthcare
$600 Billion
potential annual consumer surplus from using personal location data globally
60%
potential increase in retailers' operating margins
14,000-19,000
more deep analytical talents needed
1.5 Million
more data-savy managers need to take full advantage of big data in the US
McKinsey Global Institution, 2011
Questions?
Careers In BI
By tony g
Careers In BI
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