Working as a Data Analyst

Are you drawn to a varied and constantly changing STEM career? Jump into the role of a Data Analyst. In this field, diverse specializations and data-driven projects await you. Dive deep into data interpretation and analytics as a Data Analyst, transforming raw numbers into actionable insights. Whether you’re passionate about data visualization, statistical analysis, or the myriad tools and platforms, you’ll carve out your unique space. By pursuing a career in data analysis, you’ll be at the forefront of data-driven decision making, improving business strategies and outcomes. If you thrive on analyzing patterns and dream of shaping business futures with data insights, data analysis beckons you as the perfect career.

Check out our knowledgebase for more information. Are you looking for your dream job in STEM? Look here.

What does a Data Analyst do?
A Data Analyst interprets complex datasets to help businesses make informed decisions. By collecting, processing, and analyzing data, they identify trends, patterns, and correlations that might otherwise go unnoticed, translating raw numbers into actionable insights.
Working as a Data Analyst -
A day in the life of a Data Analyst

Methodical and dynamic

A day in the life of a Data Analyst is both methodical and dynamic. Typically, they kick off their day by meticulously reviewing various data streams, vigilantly ensuring the integrity and functionality of all data sources to prevent any disruptions or inaccuracies. Once satisfied with the data flow, they may find themselves participating in multiple meetings, both to gain a comprehensive understanding of the department's objectives and to share their valuable insights. During these sessions, they collaborate with cross-functional teams, discuss hypotheses, and present their latest findings supported by concrete data.


A significant portion of their workday is dedicated to the hands-on aspect of their role. This involves rigorously cleaning data to remove any inconsistencies or anomalies, which might skew results. Following this, they engage in in-depth analyses, applying statistical methods to uncover hidden patterns or trends. To make their findings more accessible to stakeholders, they often employ visual tools, creating compelling charts, graphs, or infographics that succinctly convey complex data stories. Finally, they consolidate their insights and observations into detailed reports, ensuring that stakeholders have a clear roadmap to make data-informed decisions.
What tools does a Data Analyst use?

Microsoft Excel

A Data Analyst is equipped with a suite of specialized tools that enable them to efficiently dissect, interpret, and present data. Central to their toolkit is spreadsheet software, with Microsoft Excel being a prime example, which allows for straightforward data manipulation, computation, and preliminary visualization. It's a versatile platform where raw data can be organized, filtered, and interpreted at a fundamental level.

Statistical software

On a more advanced scale, statistical software such as SPSS or R becomes invaluable. These platforms cater to a deeper, more intricate analysis, enabling analysts to run complex statistical tests, predictive modeling, and more. Such software not only processes data but also aids in drawing meaningful inferences from vast datasets.

Data visualisation

To convey their findings in a compelling manner, Data Analysts often turn to data visualization tools. One standout in this category is Tableau, which transforms multifaceted data patterns into clear, engaging, and interactive visual narratives, making complex insights more digestible for stakeholders.

Database management

Moreover, as the world of data grows ever more complex, having a handle on database management becomes crucial. This is where proficiency in SQL (Structured Query Language) comes into play. SQL allows analysts to retrieve, manipulate, and manage data stored in relational databases efficiently.

Programming skills

Additionally, programming skills, especially in languages like Python, elevate a Data Analyst's capabilities. Python, with its rich library ecosystem, offers tools for everything from data cleaning and analysis to machine learning, making it an indispensable resource for any analyst aiming to deliver comprehensive and cutting-edge data solutions.
Working as a Data Analyst 2 -
What is the salary of a Data Analyst?
Salaries vary based on location, experience, and industry. As of the last update, entry-level positions might start around $50,000 annually, with experienced analysts earning upwards of $100,000 or more, especially in high-demand industries.
Career path and growth opportunities
Starting as a junior analyst, one can progress to a senior data analyst role, then potentially move into specialized roles like Data Scientist or Data Engineer. There are also opportunities to shift into managerial roles, overseeing teams or even entire data departments.
Working as a Data Analyst 3 -
Education and certification
While many Data Analysts have degrees in fields like Statistics, Mathematics, or Computer Science, others come from diverse educational backgrounds. Several certifications can boost an analyst's credibility, such as the Certified Data Professional (CDP) or those offered by Microsoft and SAS.
Networking and industry organizations
Joining groups like the Data Science Association or the International Institute for Analytics can be beneficial. Networking events, webinars, and conferences offer opportunities to learn about the latest tools, trends, and best practices.
Working as a Data Analyst 4 -
Impact and societal relevance
In our data-driven world, Data Analysts play a pivotal role in shaping business strategies, influencing policy decisions, and even driving social change. Their insights can lead to more efficient operations, improved user experiences, and innovative solutions to pressing societal problems.
Working as a Data Analyst 5 -
How to become a Data Analyst
Begin by building a strong foundation in mathematics and statistics. Familiarize yourself with relevant software and tools, and consider pursuing a degree or certification in a related field. Internships or entry-level roles can provide practical experience, and continually updating your skills is crucial in this ever-evolving field.
Working as a Data Analyst 6 -
Current job openings for Data Analysts
Check out the job listings on Vorsers for current opportunities.