The data analyst uses data to solve problems and create opportunities for his business. The data analyst collects data from different sources, organizes and structures it and then analyzes it and derives useful information for the company’s activities. The work of the data analyst allows us to verify hypotheses and theories to gain a competitive advantage and, more generally, to make data-driven decisions. Let’s take a closer look at data analyst job description and responsibilities.
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Data Analyst Job Description
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Data Analyst Job
The Data Analyst handles database extractions. He analyzes them and takes care of their interpretation so that the company can make important business decisions and improvements. It is the one that will guide future actions to be carried out.
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What does a data analyst do?
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The Data Analyst is responsible for analyzing data from the company’s business. He collects and processes data in order to make relevant recommendations. His mission is to bring data to life by interpreting it.
He works on information collected through different channels that aim to facilitate decision-making by managers.
For this, the Data Analyst uses various tools and languages, including Excel, SAS, SQL, VBA, ACCESS or R.
His skills in statistical techniques and his mastery of numbers facilitates this task. He also understands and practices the different languages of SQL databases. Depending on the company he works, depending on the mission assigned, he can also use tools such as Hadoop or Spark to turn raw data into useful information. But it is usually the more technical Data Scientists who use them.
His role responds to the challenge of valuing the mass of data collected by companies. His interpersonal skills allow him to interact with trades as well as simplify technical issues. Thus, he is able to provide a coherent vision of his company’s activities.
Often, the Data Analyst works for a type of company from various sectors where data analysis creates added value (banking, insurance, e-commerce, automotive industry, etc.).
Given the significant increase in the number of data collected, the Data Analyst is likely to see his position evolve over the next few years. Too much data collected is awaiting analysis and therefore not put to good use. The Data Analyst’s mission is to remedy this situation, which is facing an increasingly large and varied data. Its role is to find new ways to deal with data with the support of new tools.
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Role of Data Analyst
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The data analyst works from a problem: he collaborates with managers of the various departments of the company (from marketing to logistics, from production to human resources, research and development to sales), with project managers and data scientists to identify problems that slow down activities and who can find a solution through statistical analysis of data.
Once the initial problem has been analyzed, the data analyst collects and analyzes the data.
If the data comes from a variety of sources, if their volume and speed are very high (according to the 3V theory), then we are talking about Big Data – and Big Data Analyst.
The sources from which the data to be developed can be very varied: management software, internal databases or provided by external sources, social media and web analytics, financial transactions, or environmental sensors. This is data of different natures (alphanumeric values, documents, photos, videos, audio, etc.) that must be processed and organized in a format that allows analysis and comparison.
When data is structured and made homogeneous, the data analyst verifies its quality, eliminates duplicates, identifies errors and data that are of no interest.
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Data Analyst Duties
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Collect and process statistical data to produce business reports and recommendations,
Manage analytics tools that allow internal decision-makers or customers to track the evolution of their sites or products,
Build and evolve Business Intelligence (BI) – Web Analytics reports to enable different teams to have a coherent view of product business results and their technical functioning,
Ensure that analysis reports from THE BI – Web Analytics are properly interpreted and disseminated.
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Data Analyst – Tasks and responsibilities
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Identify the objectives of data analysis with project managers and managers
Collect data from internal and external sources
Organizing and structuring data
Clean databases to eliminate unnecessary data
Identify and correct any errors in data collection and retention systems
Analyze data, identify patterns and trends
Create reports and documents based on the results of the analysis, and present them to officials
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Data Analyst – Key Skills
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Data clean-up often identifies potential problems in data collection, extraction and retention processes, which the data analyst reports to the relevant people, such as the database administrator. In some cases, the data analyst himself is responsible for the creation and retention of the company’s databases, so he can directly address debugging activities to improve data collection, management and retention procedures.
The data analyst then analyzes the data, using statistical techniques and instruments, and interprets them to identify trends and recognize recurring patterns that can provide answers to the initial questions.
He then presents the results of the analysis to company officials: the data analyst produces reports, documents, tables, diagrams and graphs to highlight the correlations and causes identified from the data, and to justify its conclusions. Data visualization techniques are very useful in making static data understandable to everyone, including non-specialists.
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Data Analyst Certification
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This profession requires a degree in the field of statistical studies. The Data Analyst can graduate with a Master’s degree in Statistics/Econometrics or a Master’s degree in Big Data, for example.
A business knowledge, especially in marketing and customer relations will be appreciated. After gaining significant experience, the Data Analyst may eventually evolve into a Data Scientist position.
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Data analyst tools
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Mastery of statistical and data mining techniques (SAS, SPSS, VBA, ACCESS) or SQL database languages (R) and Web Analytics tools,
Legal and regulatory knowledge of data management (use, time, lifespan, etc.),
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Qualities
Pursuasive,
Rigour
Agility
Analytical mind
Editorial fluency,
Excellent relationship management
Sense of organization.
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Where does a data analyst work?
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The data analyst is a highly sought-after professional in the most diverse sectors: IT and telephony, banking and insurance, e-commerce and retail, media and communication, transport and logistics, industry and public administration.
There are also consulting firms specializing in Business Intelligence and Digital Transformation, which offer interesting employment opportunities for data analysts.
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How do I become a data analyst? Training and requirements required
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The most suitable training to become a data analyst is a master’s degree in scientific subjects such as statistics, mathematics, computer science, computer engineering, data science, or economics, finance or business administration. Indeed, subjects such as statistics, probabilities and computer science are essential for the formation of a data analyst.
In addition to mastering data collection methods and statistical analysis techniques and instruments, a data analyst must also have in-depth skills in data management, data modelling, data mining and data enrichment, cluster analysis, text mining.
He must also know and program software such as SAS, which enables the access, management, memorizing and analysis of huge amounts of data efficiently, as well as the most common analytics and BI software.
In addition, a data analyst must be able to develop the results and illustrate them to managers and clients using graphs and presentations, using reporting tools and data visualization techniques.
Depending on the company and the sector in which the data analyst works, he or she may be asked to have specific knowledge, such as financial, administrative, accounting, or web marketing.
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Data analyst skills
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Advanced Skills in Statistics and Mathematics
Knowledge of programming languages (SQL, Python, R, VBA, etc.)
Knowledge of DBMS (DataBase Management Systems)
Knowledge of Business Intelligence Instruments
Data visualization skills
Analytical reasoning
Organizational and management capabilities
Ability in written and verbal communication
Be good with the details
Propensity to solve problems
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Data analyst – Career development
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Career Development – Data Analyst
There are different opportunities for professional growth for people who work as data analysts. From the function of junior data analyst, the experience gained allows access, after a few years, to senior positions, then to managerial functions, such as the Chief Data Analyst or the data scientist.
There are also different specialization opportunities in specific sectors: the market analyst, who helps companies plan sales and promotion strategies, the digital marketing analyst, an expert in data analysis for planning online marketing strategies, and the actuary, who develops the data using statistics and probability calculations to define forecasts and predictions in the insurance field, pension and finance.
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The main attractions of the data analyst profession
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Working as a data analyst is a suitable professional choice for people who denote a predilection for logical and analytical reasoning, have solid mathematical foundations and are also curious and creative when it comes to finding solutions to problems.
The “investigation” aspect is indeed a fundamental component of the work, which leads the data analyst to question the relationships that may exist between the data in order to derive useful information.
The data analyst profession allows you to find work in the most varied sectors, from health to industrial production, from consulting to retail, from tourism to real estate, according to its own inclinations.
In addition, a career as a data analyst is also promising given the large salaries it offers.
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Data analyst salary – Average salary is $75291 per year in US
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Data analyst jobs – Click here
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