Data Analysts

Hire Data Analysts

Businesses across all sectors are increasingly using data to make critical business choices, such as which new products to create, which new markets to join, which new investments to make, and which new (or current) clientele to target. They also utilize data to identify inefficiencies and other problems that need to be addressed inside the organization.

In these companies, the data analyst’s role is to provide a numerical value to these key business operations so that performance can be assessed and compared across time. However, a data analyst’s work entails more than simply crunching numbers: they must also understand how to utilize data to assist a company make better choices.

What are the duties of a Data Analyst?

There’s no doubting that companies are going digital and that there’s plenty of space for growth. And what is driving this growth? Without a doubt, its data is now considered as the new oil. In recent years, big data has benefited organizations in making better-informed choices and creating best-in-class goods and services. Consider the following statistics to determine how serious organizations are about big data analytics: The global big data analytics industry, which was worth USD 37.34 billion in 2018, is expected to grow at a 12.3% CAGR (from 2019 to 2027) to reach USD 105.08 billion. It’s simple to understand how big data analytics will flourish in the future with such large values.

Data scientists and data engineers are now among the most in-demand job specialities in the world. Data analytics employment are available in every area, including banking and insurance, retail, healthcare, information technology, and telecommunications. According to polls, by 2020, there will be over 2.7 million data-related job vacancies in the United States alone. Furthermore, by 2021, roughly 70% of corporate executives in the United States will have recruited data specialists. Clearly, more people are enrolling in data analytics careers to better their abilities and take advantage of work opportunities.

What are the tasks and functions of a Data Analyst?

The work of a data analyst is acquiring and accumulating data, organizing it, and applying it to form valuable conclusions. “Data analysts’ tasks vary depending on the kind of data they’re working with (sales, social media, inventory, etc.) as well as the specific client project,” says Stephanie Pham, analyst at Porter Novelli. Data analysts work in almost every business, from healthcare providers to retail establishments to fast-food restaurants. Employers that wish to understand more about their customers or end-users may profit from the insights provided by data analysts. Analysts may take part at all stages of the analysis. If you work as a data analyst remote, you may be needed to educate people how to use your data gathering system. You might be engaged in anything from establishing an analytics system to providing insights based on the data you gather. The answer to the question “What does a data analyst do?” will vary based on the kind of company and the extent to which data-driven decision-making approaches are used. However, the following are the general responsibilities of a data analyst:

  • Creating and maintaining data systems and databases, as well as fixing coding mistakes and other data-related problems.
  • Data is mined from primary and secondary sources before being rearranged into a format that people and robots can interpret.
  • Analyzing data sets using statistical approaches, with an emphasis on trends and patterns that might be beneficial for diagnostic and predictive analytics.
  • demonstrating the significance of their position in the context of local, national, and worldwide developments affecting their organization and industry.
  • Creating executive reports that effectively explain trends, patterns, and predictions by using relevant data.
  • Identifying and advocating system updates, as well as designing data governance rules in partnership with programmers, engineers, and organizational leaders.
  • Creating appropriate documentation that allows stakeholders to understand the data analysis process and, if required, recreate or repeat the analysis.

What are the steps to become a Data Analyst?

Data analytics employment may be found in a range of businesses, and there are various methods to get into this in-demand profession. Here are some steps to getting a job as a data analyst, whether you’re just starting out or changing fields. If you want to work in this in-demand field, here’s how to get started.

  • If you’re new to data analysis, you should start with the fundamentals. Understanding data analytics thoroughly can help you determine whether this is the correct job for you while also equipping you with marketable skills.
  • Obtaining a remote data analytics job often needs a set of specific technological skills. These are some of the skills you’ll most likely need to be employed, whether you’re pursuing a degree, a professional certificate, or self-study. Examine various job advertisements for jobs you want to apply for, and focus your research on the programming languages or visualization tools that are required.
  • Working with data in real-world scenarios is the most effective way to learn how to extract value from it. Seek for degree programs or courses that include real-world projects and data sets. You may also develop your own projects using a variety of publicly accessible public data sets.
  • As you explore with data sets on the internet or complete hands-on projects in your classroom, save your finest work for your portfolio. A portfolio demonstrates your talents to recruiting supervisors. A strong portfolio might assist you in landing your ideal job.
  • It’s easy to get wrapped up in the details of data study, but don’t lose sight of your communication abilities. Presenting your results to decision-makers and other corporate stakeholders is a crucial aspect of working as a data analyst. If you can tell a narrative with facts, you can help your business make data-driven choices.
  • After you’ve gotten some experience working with data and presenting your results, it’s time to polish your résumé and begin looking for entry-level data analyst employment. Don’t be afraid to apply for jobs for which you may not be fully qualified. Your skills, portfolio, and enthusiasm for a job may be more significant than ticking off every bullet point on the criteria list.
  • Consider how you want to advance in a data analyst position and what additional qualifications you’ll need along the way. Certifications such as the Certified Analytics Professional or the Cloudera Certified Associate Data Analyst may help you qualify for higher-paying positions.

Data Analyst skills are required

The first step is to gain the fundamental abilities that will enable you to get a high-paying Data analyst job. Let’s go through what you should be aware of.

  1. Database applications

    Microsoft Excel and SQL should be included in the arsenal of each data analyst. While Excel is widely used in many sectors, SQL can handle bigger data volumes and is generally regarded as a prerequisite for data analysis.
  2. Computer programming languages

    If you master a statistical programming language such as Python or R, you will be able to handle enormous amounts of data and solve complicated equations. Despite the fact that Python and R are among the most popular, it’s a good idea to review numerous job descriptions for a position you’re interested in to determine which language will be most beneficial in your company.
  3. Visualization of data

    To be successful as a data analyst, you must be able to convey your results in a clear and appealing way. Knowing how to present data in charts and graphs will help you guarantee that your coworkers, bosses, and stakeholders understand what you’re doing. Tableau, Jupyter Notebook, and Excel are some of the applications used to make visuals.
  4. Statistics and mathematics

    Understanding the principles of what data tools do can considerably help you in your job. A strong grasp of statistics and arithmetic can help you choose which tools to use to solve a specific issue, spot weaknesses in your data, and interpret the findings.
  5. Problem-solving abilities

    A data analyst position requires a deep understanding of the situation at hand as well as the inquiry being posed. They should also be able to recognize patterns or trends that may lead to a narrative. If you have critical thinking abilities, you will be able to concentrate on the right sorts of data, find the most revealing ways of analysis, and identify flaws in your work.
  6. Communication

    The ability to convey your ideas to others will be important to your success as a data analyst. To interact with coworkers and other stakeholders, data analysts must have great written and spoken communication skills.
  7. Industry expertise

    Knowing anything about your profession, whether it’s healthcare, business, finance, or something else, can provide you an advantage at work and in job applications. If you want to break into a certain field, spend some time keeping up with industry news or reading a book on the topic. This might assist you in becoming better acquainted with the industry’s primary challenges and trends.

How can I find remote Data Analyst jobs?

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Works provides the best remote Data Analyst jobs that can help you achieve your Data Analyst career objectives. Working with cutting-edge technology to solve complex technical and commercial challenges can help you expand rapidly. Join a network of the world’s best developers to get a full-time, long-term remote Data Analyst job with higher pay and professional advancement.

Job Description

Responsibilities at work

  • Analyze and extract data using contemporary methods to find growth prospects.
  • Define, create, and sustain effective data cleaning and processing methods.
  • Examine and repair damaged data.
  • Create databases, undertake data collecting, and build scripts to keep data evaluation procedures flexible and scalable.
  • Work with management and technical teams to establish key metrics and KPIs and to understand their analytical requirements.
  • Provide actionable information to various stakeholders to assist them in making educated choices.
  • Analyze quantitative data, prepare reports, and present conclusions.
  • To address complex issues, create, deploy, and manage cutting-edge data analysis systems.
  • Determine and implement data gathering and integration logic to guarantee the systems’ best performance and scalability.

Requirements

  • Bachelor’s/Master’s/MA or Ph.D. in Business, Math, Economics, Finance, Statistics, Science, or Engineering is required.
  • 3+ years of professional experience as a Data Analyst or Business Analyst is required (rare exceptions for highly skilled candidates)
  • Knowledge of data mining, data models, segmentation methods, and database architecture creation is required.
  • Ability to organize, analyze, and extract data in accordance with company needs.
  • Knowledge of data querying languages (such as SQL) or statistical/mathematical tools (e.g. R, SAS, MATLAB)
  • Experience in applied statistics or experimentation (i.e. A/B testing) in an industrial context.
  • Programming language and framework experience, such as Python, JavaScript, XML, and ETL.
  • English fluency is required for collaboration with engineering management.
  • Work full-time (40 hours a week) with a 4-hour time difference with US time zones.

Preferred skills

  • Strong analytical abilities, including the ability to gather, organize, evaluate, and distribute large volumes of information while paying close attention to detail and accuracy.
  • Technical writing proficiency in relevant fields such as reports, enquiries, and presentations.
  • Excellent interpersonal and collaborative skills.