6 Technical Positions You Must Hire for at Your Data Analytics Firm

In today’s data-driven business landscape, data analytics firms play a crucial role in helping companies make informed, data-driven decisions. As the demand for data analytics services continues to grow, these firms must hire the right talent if they want to stay on top of their competition. 

In this article, we’ll discuss six technical positions you must hire if you’re running a data analytics firm.

#1 Data Scientist

A data scientist is responsible for analyzing complex data sets to extract different insights and trends to help businesses make informed decisions and understand market trends. 

When you’re hiring a data scientist, look for candidates with a strong background in statistics, mathematics, and programming. They should also be skilled with data analysis tools and programming languages such as Python, R, and SQL. 

Consider working with a top talent management company if you can’t find new employees for this position yourself. Look for an experienced talent management company like NAM that offers both people management and career opportunities. NAM has worked with top clients, including JetBlue, Linde, Cognizant, Tech Mahindra, and so on.

Talent management companies will take your job description, team’s objectives, expectations, and required skill sets and find the right matches for you. 

From that list, you can then opt for high performers who demonstrate strong leadership and interpersonal skills and have all the necessary qualities to become your team members.

#2 Data Analyst

A data analyst is usually tasked with collecting, processing, and performing statistical analyses on large data sets. They work with data visualization tools as well to present their findings in an easy-to-understand format. Data analysts also collaborate with other teams so that they can identify data-driven solutions to business problems.

When hiring for a data analyst role, look for candidates with a strong background in statistics, mathematics, and data analysis. They should have experience with data analysis tools such as Excel, Tableau, and SQL. A data analyst should also have excellent communication and collaboration skills so that it’s easy for them to maintain an inter-departmental connection. 

#3 Machine Learning Engineer

A machine learning engineer is responsible for developing and implementing machine learning models and techniques to efficiently solve complex business problems. They work alongside data scientists and develop predictive models and algorithms used for analyzing large data sets and making accurate predictions. 

Machine learning engineers also work on developing automated systems for businesses that can improve their efficiency and reduce errors.

When hiring a machine learning engineer, look for individuals with a strong background in computer science, mathematics, and programming. They should have experience with machine learning frameworks such as TensorFlow, PyTorch, and sci-kit-learn. At the same time, it might be a good idea to consider someone who is familiar with auto-ML. 

#4 Data Engineer

A data engineer is responsible for designing, building, and maintaining the infrastructure that supports data analytics operations. They work on developing pipelines that are used to extract, transform, and load data from various sources. Data engineers also work on developing data warehouses and data lakes that can store and manage large data sets.

Look for data engineers with a strong background in computer science, database design, and data warehousing. Experience with big data technologies such as Hadoop, Spark, and Kafka is a must as well, especially if you’re hiring for a senior position.  

#5 Database Administrator

A database administrator is there to ensure the smooth operation of databases used by data analytics teams. They work on designing and implementing databases, optimizing database performance, as well as ensuring data security. These administrators are also responsible for developing backup and recovery plans to ensure data availability in the event of a system failure.

Database administrators should have a solid understanding of database design and administration. They must also be experienced with database management systems such as Oracle, SQL Server, and MySQL. 

#6 Business Intelligence Analyst

Business intelligence analysts are tasked with analyzing business data to help companies make data-driven decisions. They work on developing dashboards and reports that can provide insights into key performance indicators (KPIs) and other business metrics. They will use the business data to send reports to your business clients regarding their weekly, monthly, or yearly performance. 

If you’re hiring a business intelligence analyst, look for someone who knows the ins and outs of data analysis, business analytics, and data visualization. They should also have experience with tools such as Microsoft Power BI, which can be used to efficiently produce business intelligence reports.

These are all the technical roles you must hire for your data analytics firm. With these professionals working beside you, your firm can always guarantee efficient data-driven solutions and reports for your clientele. 

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