Data Analytics and Data Science

Data analytics and data science is a rapidly growing field that is essential for any business. Data is the lifeblood of any organisation, informing everything from long-term strategy to everyday tasks. Today’s businesses require powerful data analytics in order to stay competitive.

Using Data Science

By using data science techniques, you can identify trends and patterns in your data that you would otherwise not be able to see.

The data science field is constantly growing and evolving, and our team stays ahead of the curve to find the best Data candidates. From BI dashboards to python to Apache Spark, we’re not afraid to talk technical with our clients and candidates to best understand their needs and goals.

Our sole focus on technology recruitment at RemoteTechPeople means we have a deep understanding of what clients needs and how the skills and experiences of candidates translate into well-suited opportunities.

We work with businesses from Start-ups to enterprises to hire across all seniority levels in roles.

Data Analytics, Data Science, and Machine Learning Jobs

✅ Database Administrator
✅ BI Developer/Analyst
✅ BI Lead/Manager
✅ Data Analyst
✅ Data Architect
✅ Data Engineer
✅ Data Modeller
✅ Data Scientist
✅ Data Warehouse Lead
✅ Head of Data
✅ Lead Data Scientist
✅ Machine Learning Engineer
✅ Engineering Manager – Machine Learning

Need help with which role should be your next hire, or how you can grow into a niche in Data Analytics and Data Science yourself? Talk to our team today, we’d be happy to help you find the right fit.

Ready to Grow The Team & Meet the Challenges this year? If you are an EMPLOYER or a MANAGER that is thinking about or in a process of building your Remote Tech Team, then we have good news for you.📢 Our sister company NewyTechPeople have a technology-specific salary guide to provide guidance on salary ranges.

Click here to download the Tech Salary Guide 2023.

What do Data Analyst Do?

As a tech recruiter, it’s important to have a thorough understanding of the role and responsibilities of a data analyst, as these professionals play a critical role in helping organisations make informed decisions that affect the direction and results of their projects.

Let’s take a closer look at what data analysts do and the skills and qualifications needed for this role.

What is the Data Analyst’s Job and Role?

At its core, a data analyst’s job is to collect, clean, and analyse large sets of data.

This can include data from various sources such as surveys, customer transactions, and website analytics. The goal of this analysis is to uncover insights and trends that can be used to inform business decisions and improve performance.

The Data Analyst’s Techniques

To accomplish this, data analysts use a variety of statistical and programming techniques. For example, they may use SQL to extract data from databases, Python or R to clean and manipulate data, and Excel or Tableau to create data visualisations. Data analysts also use machine learning algorithms to analyze the data, identify patterns, and make predictions.

Responsibilities of a Data Analyst

One of the most important responsibilities of a data analyst is to communicate their findings to stakeholders. This may involve creating reports, dashboards, or other visualisations that make the data easy to understand.

Data analysts may also present their findings in meetings, workshops, or other forums to help others understand the data and how it can be used.

In addition to technical skills, data analysts should also possess strong problem-solving abilities, as they are often tasked with identifying patterns and trends in large and complex data sets. Data Analysts should also have excellent communication skills, as they will need to present their findings to non-technical stakeholders.

In terms of qualifications, a bachelor’s degree in a field such as mathematics, statistics, or computer science is often required for a data analyst role. Some companies may also require a master’s degree or relevant work experience. Many Data Analysts also have certifications in data analytics and visualisation tools like Tableau and Power BI.

Data Analysts play a critical role in helping organisations make informed decisions by collecting, cleaning, and analysing large sets of data. They use a variety of statistical and programming techniques to uncover insights and trends, and then use this information to inform business decisions.

In Australia, to be successful in this role, data analysts should have strong technical skills, problem-solving abilities, and excellent communication skills. A bachelor’s degree in a relevant field is often required, along with relevant work experience or certification.

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