Boost your data team's potential

Data scientists collect, analyze, and interpret enormous data sets using their analytical, statistical, and programming talents. They then use this data to create data-driven solutions to complex business problems. ​

Data scientists are skilled in various technical areas, including statistics and machine learning, coding languages, databases, machine learning, and reporting systems. They display the results clearly and interestingly after interpreting the data. The goal is to assist the company in analyzing patterns to make better decisions. 

A business intelligence (BI) developer makes strategic and financial market intelligence to help people make strategic decisions by making reporting systems. A BI developer is in charge of creating, deploying, and maintaining BI tools and interfaces. ​

The BI Developer uses and keeps up with warehouse data to solve problems in the workplace. They’re also in charge of translating very technical words and complicated information into simple language that the rest of the organization can understand.

Database Administrators are specialists that ensure that all databases, including those containing financial or customer data, adhere to the most recent data loss prevention policies and procedures.​

Database Administrators are accountable for the management and upkeep of an organization’s databases. Their responsibilities include verifying compliance with a data management policy and the proper operation of these vital pieces of technology. 

Data Quality Analysts keep an eye on the quality of the data that organizations use to make smart decisions. They look at complicated data to improve the efficiency and quality of the data being collected, solve problems with data quality, and work with database developers to make systems and databases better. ​

The data entry QA specialist assists in the development of data entry processes, controls, and analysis tools to ensure consistent quality across the data entering the process. You must assess and adjust QA controls and methods over time in response to changing technology, workplace evolution, or customer requests. 

A Data Engineer is a data specialist who builds systems that collect, handle, and convert raw data into meaningful information for business analysts. ​

They develop and maintain the infrastructure for analytics. In addition, they develop data processes. A data engineer employs data to assist a machine in doing its tasks. It also assists in gathering and collecting replies, as well as storing and processing them. 

An ETL developer is responsible of maintaining data storage systems in order to secure the organization’s data and files for the sake of daily operations efficiency. ETL developers test the system several times to confirm its accuracy, make coding changes, and troubleshoot for defects and inconsistencies. ​

They collaborate closely with other development teams to create storage features that optimize solutions. To create an accurate and functional database, an ETL developer must have broad understanding of the technology industry as well as a good command of computer languages. 

A Data Architect assesses the company’s data requirements and employs coding expertise to maintain secure databases. They then gather and organize the obtained data. A Data Architect uses their knowledge of analytics and numerous programming languages to analyze data and create conclusions based on their findings.​

In addition, utilizing approaches derived from mathematical and statistical theory, they provide findings to management, which are subsequently used to enhance various company projects. A Data Architect can examine a set of data, look for trends, and use the knowledge to keep their employer’s business competitive. 

A Data Operations Manager designs data-centric solutions to satisfy the requirements of a business or research group. Their responsibilities consist of designing systems, methods, and policies for data management in a company, aiding coworkers with data-related activities, and networking with clients. 

The data analyst is responsible for transforming raw data into valuable insights. Following the data analysis process, they will use the data and the insights it gives to solve specific problems or answer specific questions.​

 They take these insights and communicate them with key stakeholders and decision-makers, who may take appropriate action or plan for the future. At the same time, data analysts may be in charge of managing the whole process of gathering and storing data and establishing data quality requirements. 

The Data team lead analyst performs a variety of duties, such as collaborating with a team of data practitioners,  to facilitate innovation and expedite the deployment of best practices and technology in the big data environment of a business.​

They are responsible for overseeing the data science team, planning projects, and developing analytics models using massive volumes of data from many sources and formats.