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​The top data analytics skills professionals need in 2024

  • Publish Date: Posted about 2 months ago
  • Author:by Tom Cook

Data analytics, as we know, is a rapidly evolving landscape and that’s why it’s vital that professionals in this sphere keep abreast of the latest trend to future proof their career. In 2024, the demand for people specialising in data analytics looks set to increase and, with that, comes the need for a skills upgrade.

Whether you're a budding data analyst or a seasoned management information professional, here are the top data analytics skills to get to grips with to make sure your expertise remains as relevant as ever in 2024 and beyond.

Getting to grips with AI and machine learning

Understanding and implementing advanced machine learning and AI models are key skills in today's data analytics realm. Familiarity with algorithms, deep learning, natural language processing and computer vision is imperative when it comes to deriving meaningful insights and making data-driven decisions.

Understanding big data focused technology

Expert knowledge and proficiency in handling and analysing large volumes of data is highly desirable in this industry. Skills in tools like Apache’s Hadoop and Spark - alongside other big data technologies - are essential to process and extract valuable insights from massive datasets efficiently.

Harnessing data visualisation

The ability to present data in a compelling and insightful manner is crucial within a data analytics career. Mastering data visualisation tools like Tableau, Power BI, or D3.js, coupled with the knack for storytelling through data, is vital for effective communication and decision making.

Taking an interest in data governance and ethics

As data privacy and security concerns grow around AI and cybersecurity, understanding data governance frameworks and ethical considerations is key. This includes compliance with regulations like GDPR, the Data Protection Act 2018 and knowledge of best practices for data handling and protection.

Knack for programming languages

Proficiency in established programming languages such as Python, R and SQL remains fundamental. These languages are the backbone of data analytics and, to this day, are extensively used for data manipulation, analysis and model development.

Acquiring domain expertise

Gaining deep knowledge and understanding of this niche industry is becoming increasingly important. Domain expertise allows professionals to tailor analytics solutions that align with the sector's largely unique challenges and requirements.

Background in mathematics and statistical analysis

A strong foundation in statistics and maths is critical for undertaking accurate data analysis and model building. Understanding statistical techniques and their applications helps in making data-driven decisions with confidence.

Confidence with cloud computing

Proficiency in cloud platforms like AWS, Microsoft Azure or Google Cloud is highly beneficial to a career in data analytics. This is because cloud computing provides scalability, accessibility and facilitates real-time data processing.

Close collaboration and communication

Effective collaboration and communication skills are essential to conveying complex findings and solutions to non-technical colleagues and stakeholders. Bridging the gap between data science and commercial acumen is vital for implementing projects and understanding the value they bring.

Ability to problem solve and undertake critical thinking

The ability to approach problems analytically and think critically is a cornerstone of becoming a successful data analyst. Being able to dissect intricate issues and develop innovative solutions will set exceptional data professionals apart for the rest of the crowd.

What’s clear is that data analytics is moving quickly, meaning that the professionals who inhabit this world need to be responsive and adept at upskilling. Mastering these essential data analytics skills for 2024 will help to future proof a career in data analytics and position people as a valuable asset in the inevitably data-driven economy of the future. This is why it’s vital to stay committed to continuous learning and embrace the challenges and opportunities that come within the vibrant field of data analytics.

Looking to advance you data / analytics career or add to your team? Get in touch today to have a chat with our Data & Analytics expert, Tom.