Data Analyst

You’re a startup owner needing a couple (or a team!) of data analysts who will help your startup to remain afloat, stay competitive, and reach the MVP stage faster? Our job description template will help you start composing a job description — the essential element of every hiring for jobs in data analytics. Here, entrepreneurs should describe their company, provide a concise job brief, and devote some time and place to elaborate on the responsibilities and requirements every candidate should consider before embarking on the way to cherished positions. Last but not least, it’s your chance to sparkle with information on bonuses, perks, and benefits your company provides to newcomers. 

Here’s an example of a data analyst job description structure:

• Company description
• Job brief
• Responsibilities
• Skills and requirements
• Bonuses and benefits
• Frequently asked questions.

The basic aim of a data analyst is to get value from data by locating relevant information and facilitating data-driven corporate decision-making. 

A data analyst is a frequent liaison between corporate stakeholders and the data, therefore, data analysts must be excellent communicators possessing great analytical skills.

Data analysts and data scientists have a lot in common regarding duties. However, the main goal of data scientists is to develop and improve data-driven products and procedures. Data analysts concentrate on developing commercial insights.

The duties of a data analyst include selecting important issues to investigate, acquiring information from diverse sources, and cleaning and preparing data for analysis.

Company description 

Write a brief and catchy fragment about your company. Don’t forget to mention what you are doing, your aims for the upcoming year, and your benefits compared to other similar companies in the industry. As a rule, that’s the starting point of all job descriptions, and it should be intriguing and promising enough for candidates to go on reading. 

Example:

We are a cybersecurity company providing customers with threat intelligence and underground data analytics. We build modern, distributed, and intuitive products that process vast amounts of data to provide valuable intelligence. Some of our clients are federal agencies and government organizations. 

Data analyst job brief

Add an in-depth description of the project, and point out the problem domain, data sources, and types of data (structured/unstructured) for analysis. Specify the deliverables (report, dashboard, presentation, etc.) you need.

Example:

We seek a senior engineer to join our team and help build the next generation of cybersecurity products. As a senior engineer, you will have the opportunity to work with a talented team of engineers, data scientists, and analysts to design and build software that impacts our customers’ security.

Data analyst responsibilities

In this section, you should enumerate the responsibilities of data analysts in your company — so that the candidate can compare their actual job experiences and find out if their previous work experience suffices.

Below is the approximate list of data analyst responsibilities.

Example:

• Creating, updating, and deleting master data;
• User roles hierarchy organization;
• QA of imported data, collaborating with QA specialists;
• Working with confidential information and data sets according to guidelines;
• Handling reports and analysis;
• Managing and designing the reporting environment, including data sources, security, and metadata;
• Identifying and revising reporting requirements;
• Estimation of tests and applying new or updated software.

Data analyst skills and job requirements

Write about the skills for data analysts and the knowledge base required for data analysts wishing to collaborate with your company. Make sure to include everything crucial: let the candidates assess themselves before the interview. Some will surely rethink their strategies or abstain from the interview altogether (thus relieving the stress on your HR department). 

Example:

• BS or MS in Computer Science;
• 2+ years of experience in data analysis or some related field;
• Risk assessment skills;
• Dexterity in software analysis, ability to offer better solutions and software options;
• Ability to express technical requirements in laymen’s terms;
• High proficiency in database methodology and data analysis;
• Hands-on experience in handling relational databases and large data sets;
• High-level soft skills (time management, remote work experience, English proficiency, inter-department communication).

Benefits and perks for a data analyst

That’s probably the nicest part of every job description. Does your company have any benefits for newcomers and old employees? Are they considerable enough? Describe them, let the candidates know what they can get!
A couple of advice:
– Don’t mention benefits if they are too insignificant (sounds laughable);

• Mention perks that are related to the company’s field of activity;
• Don’t lie (the truth will always come out). 

Example:

Our company provides all employees with the following benefits:

• Yearly traveling, self-education, and health bonus;
• Monthly home office bonus;
• Paid days off (28 per year);
• 7 days of paid sick leave per year;
• Educational courses and activities.

Need more info? Here's a FAQ!

• How much do data analysts make?

  The salary for a data analyst can vary depending on factors such as location, experience, and industry. According to Glassdoor, the average salary for a data analyst in the United States is around $68,000 annually. However, salaries can range from around $50,000 to over $100,000.

• What do data analysts do?

  Data analysts collect, process, and perform statistical analysis on data to extract useful information and insights. They use various tools, such as spreadsheet software, programming languages, and databases, to organize, manipulate, and visualize data. They also use statistical techniques, such as hypothesis testing, to identify patterns and trends in the data. The insights they gain are then used to support decision-making, solve business problems, and identify organizational improvement opportunities. They may work in various industries, such as finance, healthcare, marketing, or technology, and may be responsible for reporting their findings to decision-makers and stakeholders.
  

• What tools do data analysts use?

  Data analysts use various tools to collect, process, and analyze data. Some of the most common tools include:
  – Spreadsheet software: Data analysts often use spreadsheet software, such as Microsoft Excel or Google Sheets, to organize and manipulate data.
  – Programming languages: Data analysts use programming languages such as Python, R, SQL, SAS, and Scala to extract data from databases, clean and process data, and perform statistical analysis.
  – Data visualization tools: Data analysts use data visualization tools, such as Tableau, Power BI, and Looker, to present data in an easy-to-understand format, such as charts, graphs, and maps.
  – Data storage and management tools: Data analysts may use tools such as SQL, Hadoop, and NoSQL databases to store and manage large amounts of data.
  – Project management and collaboration tools: Data analysts may use JIRA, Trello, and Asana tools to collaborate with other team members and manage project tasks and timelines.
  – Cloud-based platforms: Data analysts may use cloud-based platforms like AWS, Google Cloud, and Azure to access, store and process data

• What should be included in a data analyst job description? 

  – Job title and brief: This should include the specific title of the position and a brief summary of the role and responsibilities.
  – Responsibilities: This section should outline the specific tasks and responsibilities of the data analyst, such as collecting and analyzing data, identifying patterns and trends, and making recommendations based on insights gained.
  – Required qualifications: This section should list the education, experience, and skills required for the job, such as a degree in a relevant field, experience with specific programming languages or tools, and knowledge of statistical analysis techniques.
  – Desired qualifications: This section should list any qualifications that are not required but are preferred, such as experience in a specific industry or an advanced degree.
  – Benefits: This section should list any benefits offered to the employee, such as health insurance, 401k, vacation time, etc.
  – Company information: This section should provide an overview of the company and its culture, mission, and goals.
  Contact information: This section should include the name and contact information of the hiring manager or HR representative.

• Who does a data analyst report to? 

  – A manager or director of data analytics: They may oversee the data analytics team and ensure that it meets the organization’s data needs.
  – A business analyst or business intelligence manager: These may work with the data analyst to identify business needs and ensure that the data is used to support decision-making and improve business performance.
  A chief data officer (CDO) or chief analytics officer (CAO): responsible for an organization’s data strategy, governance, and technology.
  A department head or manager: In smaller organizations, data analysts may report to the head of a specific department, such as finance or marketing, who may use data to inform decisions within their department.

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