Entry level data analyst jobs description and career

Entry level

The Entry level Data Analyst jobs uses data to solve problems and create opportunities for their company.

As a Data Analyst, one collects data from various sources, organizes and structures them to analyze them, and obtains valuable information. The data analyst’s work makes it possible to verify hypotheses and theories to get a competitive advantage and, more generally, to make data-driven decisions.

Let’s see what  Entry level Data Analyst jobs in more detail:

The Data Analyst (sometimes translated as ‘ data analyst ‘) works from a problem: he collaborates with the managers of the various company departments (from Marketing to Logistics, from Production to Human Resources, from Research & Development to the Sales department ), with Project Managers and Data Scientists to identify problems that slow down the business and that can find a solution through statistical data analysis.

Once the starting problem has been defined, the Data Analyst takes care of the collection and analysis of the data.

Suppose data is collected from a variety of sources, in volumes and at a very high rate (according to the 3V theory ). In that case, we are talking about Big Data – and Big Data Analyst.

In fact, the sources from which the data to be processed come can be very varied, for example, management software , internal databases or provided by external sources, social media and web analytics , financial transactions, or even environmental sensors . Therefore, they are data with different structures (alphanumeric values, documents, photos, videos, audio …), which need to be processed and organized in a format that allows them to be analyzed and compared.

Once the data is structured and homogeneous, the Data Analyst checks it to verify its quality, eliminate duplicates, identify errors and irrelevant data.

Entry level data analyst jobs description and career

Often the cleaning of data allows to highlight any problems in the processes of collecting, extracting, and storing data , which in the  Entry level Data Analyst jobs reports to whoever is responsible, for example, the Database Administrator . In some cases, the Data Analyst himself is responsible for creating and maintaining the company databases and can therefore also directly deal with the related debugging activities to improve the procedures for collecting, managing, and storing data.

The Data Analyst then analyzes the data , using statistical techniques and tools , and interprets them to identify trends and recognize recurring patterns that can provide answers to the starting questions.

He then presents the results of the analysis to the company managers: the Data Analyst produces reports , documents , tables , diagrams, and graphs to highlight correlations and causalities revealed by the data and justify the conclusions drawn. Data visualization techniques are in fact very useful for making statistical results understandable even for non-experts .

Where does a Entry level data analyst work?

The  Entry level Data Analyst is a professional much sought after by companies , even in very different sectors: IT and telephony, banking and insurance , e-commerce , retail and large- scale distribution , media and communication, transport and logistics , industry and public administration .

There are also consulting firms specializing in Business Intelligence and Digital Transformation that offer interesting employment opportunities for Data Analysts.

Duties in  Entry level Data Analyst Jobs

What Does a Data Analyst Do? Here are his duties:

  • Identify the goals of data analysis with executives and PMs
  • Collect data from internal and external sources
  • Organize and structure the data
  • Clean up the databases to discard irrelevant data
  • Detect and correct any errors in data collection and storage systems
  • Analyze data and identify patterns and trends
  • Create reports and documents with the results of the analyzes to be presented to managers

How to become a data analyst? Training and Requirements

To become a Data Analyst , the most suitable training is a degree in scientific subjects such as Statistics , Mathematics, Computer Science, Computer Engineering, data science, economics, finance, or business administration. In fact, subjects such as statistics , probability, and IT are essential in the training of a Data Analyst .

In addition to mastering methods for data collection and statistical analysis techniques and tools, a Data Analyst must have advanced skills in data management , data modeling , data mining and data enrichment , cluster analysis , text mining .

It must also know and program software such as SAS , which allows access, manage, store, and analyze huge amounts of data efficiently, and the most common analytics and BI software .

Furthermore, a Data Analyst must be able to process the results and illustrate them to managers and customers with graphs and presentations, using reporting tools and data visualization techniques .

Depending on the company and the sector in which a Data Analyst finds employment, specific knowledge may be required, such as a financial, administrative-accounting or web marketing type .

Skills for Entry level Data Analyst Jobs

The core skills for Entry level Data Analyst Jobs:

  • Advanced skills in statistics and mathematics
  • Knowledge of programming languages ​​(SQL, Python, R, VBA …)
  • Knowledge of DBMS ( DataBase Management Systems )
  • Knowledge of Business Intelligence tools
  • Data visualization skills
  • Analytical thinking
  • Organizational and management skills
  • Written and verbal communication skills
  • Attention to details
  • Problem solving propensity

 Entry level Data Analyst Jobs Opportunities 

There are several outlets and opportunities for professional growth for those who work as a Data Analyst. Starting from the position of Junior Entry level , thanks to the experience acquired, it is possible after a few years to cover senior roles and then access managerial functions, for example as Chief Data Analyst or Data Scientist .

There are also different possibilities of specialization in specific sectors: some examples are the market analyst , who helps companies plan sales and commercial promotion strategies, the digital marketing analyst , expert in data analysis for planning of online marketing strategies , and the actuary , which processes data using statistics and the calculation of probabilities to make forecasts and forecasts in the insurance, pension and financial fields.

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Good Reasons to Work As a Data Analyst

Working as a Entry level is the right professional choice for those who have a clear predisposition Entry level towards logical and analytical reasoning , have a solid mathematical basis and are at the same time curious and creative in finding solutions to problems .

The ‘ investigative ‘ aspect is a fundamental component of the work, which pushes the Data Analyst to question the possible relationships between the data to obtain useful information.

The Data Analyst profession allows you to find employment in various sectors , from healthcare to industrial production, consultancy to retail , tourism to real estate, depending on your personal interests.

Furthermore, a career as a Data Analyst is certainly promising even for the high salaries it offers.


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