Graduate Data Analyst Jobs to Try in 2023!
Graduate data analyst jobs are some of the most exciting and rewarding career paths available today, and they’re sure to be in higher demand in 2023. A data analyst is someone who uses big data to help organizations make informed decisions and improve business strategy. Data analysts are essential in the securities, finance, health care, retail, and technology industries, making them invaluable to any organization. They have the skills to identify patterns, conduct research, compile results, and come up with creative solutions to complicated problems. For this reason, data analysts are in demand, and the prospects for anyone looking to start a career in data analysis are very promising.
In this article, we will discuss 8 different graduate data analyst jobs that are sure to provide lucrative employment opportunities in 2023. We review the job expectancies, expected salary and a list of required skills for each position.
Data Analysts Jobs to try:
A data scientist is a professional who is tasked with the development and deployment of models to answer and support business questions. Their role may involve a combination of mathematics, data mining, programming and statistics to uncover insights, while using data analysis to help improve strategies and products. Data scientists build and deploy analytical models, evaluate their performance, and suggest ways to improve them. Required skills include: coding, predictive analysis, big data analysis and interpretation, regression analysis, data mining, semantics and knowledge engineering.
Business Intelligence Analyst:
A Business Intelligence Analyst works directly with internal and external stakeholders to provide data-driven insights used to make informed decisions in an organization. They typically assess the business’ current performance, identify any areas for improvement, and predict the future trends for the business. To do this, the Business Intelligence Analyst synthesizes data from various databases and sources, conducts research, and develops reports and presentations. Required skills for this position include: SQL and data querying, programming languages such as Python and R, data visualisation, software system administration, and data presentation.
Machine Learning Engineer:
Machine Learning Engineers use technical and scientific methods to solve real-world problems. They play an important role in the development of automated systems and other AI-driven products that are used to assist with decision-making, analysis, and prediction. The job of a Machine Learning Engineer involves designing algorithms, implementing them into existing systems, and testing their performance. Required skills for this position include: machine learning, data engineering, distributed computing, programming languages such as Python and C++, natural language processing, and data visualization.
Data Architects create data architectures to make it possible for businesses to store and analyze data. They are responsible for designing, monitoring and maintaining data models, architecture, and databases. To do this, the Data Architect must be familiar with database development and administration, data architecture, data warehousing, and big data analytics. The role also requires problem-solving and communication skills, as they are responsible for explaining the technical aspects of the architecture to the other members of the team. Required skills for this position include: database architecture, data modelling and ETL, data warehousing and big data analytics, software engineering, and problem-solving.
Data Warehouse Developer:
A Data Warehouse Developer is responsible for designing, developing, and maintaining data warehouses and related systems. They design and implement data models, create ETL and BI processes, and provide support for new data sources. The role also requires an understanding of data warehouses, data mining, and data analysis tools. To do this, the Data Warehouse Developer must possess strong technical skills as well as knowledge of programming language, database and data analysis concepts. Required skills for this role include: database design and administration, ETL, BI and data warehousing, software engineering, and problem-solving.
Database Analysts extract and analyse data from databases to provide business with insights and recommendations. They must have experience in data modelling, data extraction and manipulation, database administration, and query writing. Database Analysts are responsible for ensuring the accuracy, integrity, and reliability of data and for providing recommendations for improving data systems. Required skills for this role include: database design and administration, data modelling and ETL, query writing, and software engineering.
Data Visualization Analyst:
Data Visualization Analysts are responsible for the design and development of advanced data visualisations. This graduate data analyst jobs role involves analysing data, and transforming it into interactive visualisations that effectively communicate information. They must be able to identify patterns and trends, create strategies, and craft stories. Required skills for this role include: data visualisation and storytelling, data analysis, coding, and software engineering.
Business Analysts are responsible for understanding the data, the market trends, the customer base and the industry to come up with actionable insights on how a business can gain a competitive edge. They use data analysis to identify opportunities and develop strategies and plans to ensure a business’s success. Required skills for this role include: data analysis, stakeholder management, data visualisation, software engineering, and problem-solving.
Data Modelers design data structures and analyse data to ensure these structures are in line with the data rules and standards. They are responsible for defining data requirements, developing data models and mapping tools, and performing data integrations. Required skills for this position include: data modelling, data mapping, database development, programming languages, data quality and governance, and problem-solving.
As you can see, there are plenty of opportunities available for those looking to pursue a career as a graduate data analyst in 2023. Data analysts are essential in almost any industry, and their skill set is in high demand. With the right skills and education, there is a great potential to make a successful career in data analysis.