Analytics

OVERVIEW

Rather than simply answering questions about what, how, when, and where things have happened, today’s business analysts are able to push the use of data further. They can find out why things are happening and what will happen if identified trends continue, and they are able to model how an organization can use this information to optimize outcomes. The demand for managers with these skills is strong and continues to increase. Salaries in these disciplines are and will likely remain competitive along with all other concentrations in management. Read this article for more of an overview.

Alumni Contacts

Talking to people who work in marketing is one of the best ways to a) learn about the field and b) make connections that can help you get hired. 

Here are a few people you can contact. BC login required. 

You can pursue careers in...

Most Common Entry Level jobs 

Data Analyst: Data analysts are responsible for collecting, analyzing, and interpreting data to help businesses make better decisions. They use statistical methods and tools to identify trends, patterns, and insights from data.


Business Analyst: Business analysts help companies improve their processes, products, and services by analyzing data and identifying areas for improvement. They also work with stakeholders to develop and implement solutions.


Market Research Analyst: Market research analysts help companies understand their target audience by analyzing data on consumer behavior, preferences, and trends. They use this information to help businesses develop marketing strategies and make informed decisions.


Financial Analyst: Financial analysts help companies make investment decisions by analyzing financial data and market trends. They also prepare reports and presentations to communicate their findings to stakeholders.


Operations Analyst: Operations analysts help businesses optimize their processes and improve efficiency. They analyze data on supply chain management, logistics, and production to identify areas for improvement.

What are some skills and characteristics  for  Data Analysts?


Skills:

Analytical skills: Analytics graduates possess strong analytical skills to gather, interpret, and evaluate complex data to drive business decisions.

Data visualization: They should be skilled in presenting data in a visually appealing and easy-to-understand manner using tools like Tableau or Power BI.

Programming: Proficiency in programming languages like Python, R, or SQL is necessary to manipulate data and build predictive models.

Communication: Strong verbal and written communication skills are essential to effectively communicate insights and recommendations to stakeholders.

Values:

Accuracy: Accuracy and precision are essential for analytics graduates in their work as data errors can lead to flawed analysis and decision-making.

Objectivity: They should be able to maintain objectivity and avoid personal biases when analyzing data.

Integrity: Honesty and integrity are important values as they handle confidential data.

Motivators:

Intellectual curiosity: Analytics graduates are motivated by the opportunity to learn and discover new insights from data.

Impact: They want their work to have a positive impact on businesses and society.

Creativity: They enjoy finding innovative solutions to problems through data analysis and visualization.

Personality Traits:

Detail-oriented: Analytics graduates are meticulous in their work, ensuring accuracy and precision in their analysis.

Critical thinking: They have strong critical thinking skills to evaluate and interpret data in a meaningful way.

Logical: They possess a logical mindset, which allows them to analyze complex data and identify patterns and trends.

Persistent: They have the persistence to tackle complex problems, and are not discouraged by challenges.

Overall, analytics graduates possess a unique combination of technical skills, personal values, motivators, and personality traits that make them well-suited for careers in data analysis and business analytics.

BY INDUSTRY

Data is driving almost every industry these days. Explore a few options below. 

Financial Services

Data Analytics in the Financial Services Industry

Bringing traditional, professional, and leading-edge data and analytics capabilities to structure, solve, and manage critical issues.

Consulting

R, LaTeX, SQL; these are more than random assortments of letters. They are just a few of the programs data analytics consultants use to turn mountains of numbers into useful intelligence.

Marketing

(A FEW) CAREER OPTIONS


Interviewing for Data Analytics

Learn from a Senior Program Manager at LinkedIn, Sergio Patterson, on what you can do to make your tech interview stand out in a sea of highly qualified applicants.

Interview questions you should know for Data Analytics