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WHY ANALYTICS?

THE WORLD
Data is everywhere, but without analytics it’s just numbers and noise; the analysts’ role is to
translate raw information into insights and outcomes

Reasons to work in Data Analytics:
✔ High average salary and job satisfaction
✔ Strong and growing demand for talent
✔ Highly versatile and transferrable skills
✔ Wide range of roles and specialties
✔ Unique blend of creative + analytical thinking
✔ Opportunity to make a real impact, at any level
 
DATA ANALYST JOB INSIGHTS


Data is playing an increasingly central and critical role in the business world; as companies seek to make better data-driven decisions, demand for analytics talent is on the rise


Avg. Analyst Salary
Based on data from indeed.com



US Job Openings
Based on data from LinkedIn (June 2021)




Avg. Job Satisfaction
Based on data from payscale.com
 
FLAVORS OF ANALYTICS



THIS IS


Many types of roles fall under the larger analytics umbrella, but they are all about using data to make smart decisions.
The differences come down to the types of problems you are trying to solve, and the types of tools you are using to solve them.










 
SOURCE: Learn.co
 

*Copyright Maven Analytics, LLC
 
BI + DATA SCIENCE

VS



 
•	Typically focused on Descriptive Analytics: What happened, why did it happen, how can we learn from it?
 
•	Typically focused on Predictive & Prescriptive Analytics:
What will happen in the future, how can we prepare for it?
 


 
•	Often deals with specific, known questions: Why are sales
declining? Which products drive the highest ROI?

•	Emphasis on self-service database, analytics &
visualization tools (Excel, SQL, Power BI, Tableau, etc.)

•	Designed to deal with static, structured data sources
(tabular datasets & pre-planned relational models)

•	GOAL: identify patterns & trends to turn data into insight

•	Deliverables tend to be visuals, reports & dashboards
 
•	Often deals with unknowns: Which employees are likely to churn?
Which product will a customer purchase next?

•	Emphasis on statistics & programming tools designed for flexibility and agility (R, Python, open-source libraries, etc.)

•	Can be used to deal with high-velocity, structured or
unstructured data (text, audio, images, IoT signals, etc.)

•	GOAL: test hypotheses through experimentation & iteration

•	Deliverables tend to be algorithms & statistical models
 
FINDING YOUR PATH






 
A Business Intelligence or Data Analyst
role may be a good fit if you:
•	Love analyzing data for insights and convincing stakeholders to act
•	Enjoy solving a wide variety of business cases and open-ended tasks
•	Want to build a deep skillset, from data engineering to analysis and visualization
 
A Data Engineer or Database Admin (DBA)
role may be a good fit if you:
•	Enjoy building data infrastructure and engineering database systems
•	Prefer concrete technical tasks over open- ended business cases
•	Would rather build and design databases than perform visual or exploratory analysis
 


 	 

 
A Data Visualization Specialist role may be a good fit if you:
•	Love designing visuals to tell stories and
bring data to life
•	Want to flex both your creative and critical thinking skills
•	Prefer working with prepared data and under specific project guidelines
 
A Data Science or Machine Learning role may be a good fit if you:
•	Love to program and write code
•	Enjoy math and statistics
•	Can distill complex topics and communicate them clearly
•	Prefer one-off projects over dashboard design or performance reporting
 
THE ANALYTICS TRIFECTA



When we think about what separates a good analyst from a great one, the following three attributes come to mind:

1.	Strategic thinking
2.	Technical proficiency
3.	Communication skills

We call this the “Analytics Trifecta”, because it represents the three core skills which can help you produce exceptional results at every stage of the workflow.
 
THE ANALYTICS TRIFECTA








The ability to think strategically is critical, especially during the early stages of the analytics workflow.

Strategic thinking is about understanding business goals or pain points, identifying key factors for success or failure, and designing clear, tactical analyses and measurement plans to drive desired outcomes.

 
THE ANALYTICS TRIFECTA








Simply put, technical proficiency is the ability to execute, whether that’s writing code, building ETL pipelines, or designing data visualizations or dashboards.

Strong, well-rounded technical skills allow you to contribute to a broader range of analytics projects, work efficiently, and clearly showcase (and show off!) your skills.

 
THE ANALYTICS TRIFECTA








Analysts essentially act as the translators between raw data and end users, so your ability to communicate clearly is essential to your success.

This includes all forms of outbound communication (written, visual, verbal, non- verbal) as well as the ability to listen and interpret feedback effectively.

 
KEY  TAKEAWAYS


Demand for analytics talent is strong, and on the rise
•	Data is playing an increasingly critical role in business, and analysts are the ones who give it meaning

Data Analytics skills are powerful and versatile
•	Analysis and visualization skills can immediately add value to virtually any company working with data

All analytics roles are ultimately about making smart, data-driven decisions
•	There are many specialties or “flavors” of analytics, but they share many of the same core skills

Strategic, technical, and communication skills are equally important
•	Aim to build a “trifecta” of skills: strategic thinking, technical proficiency, and clear communication
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