Career Growth In Data Analytics


Breaking Into The Field

Data Analytics Career, Jobs, and Salary | Data Analyst Job, Salary | Simplilearn

If you want to break into the field of data science, there are a number of ways you can prepare yourself to take on these challenging yet exciting roles. Perhaps most importantly, you will need to impress future employers by demonstrating your expertise and previous work experience. One such way you can build those skills and experience is to pursue an advanced degree program in your area of interest.

Northeastern University, for example, offers masters degree programs in both data science and data analytics which are designed to develop the skills that employers are seeking. Both programs also provide students with the opportunity to participate in co-ops and experiential learning experiences, allowing them to build hands-on experience prior to graduating. Once you have considered factors like your personal background, interests, and career aspirations, you will be able to determine which degree program is right for you and take the next step towards achieving your goals.

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A Promising Career Path

The outlook for health care data analysts is bright. As the BLS notes, health care is a rapidly growing field in the United States, with the nations aging population requiring increased medical care and assistance. Data analysis is also growing quickly, with many potential job opportunities in various industries.

Continuous learning is essential, since technology will continually affect how you do your job no matter the industry.

Find your path

Industries Hiring Data Analytics Professionals

The opportunities available to data analytics graduates span a broad variety of industries. As the demand for an online presence and the ability to conduct business efficiently online reaches multiple sectors, there is a corresponding rise in job growth for skilled data analysts who can address these new challenges.

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Securing A Position In The Industry

To be considered for an entry-level data analyst position, you must have prior experience in the field. This includes skills in statistical techniques, data wrangling, cleaning, and visualization. Web mining, knowledge of SPSS& Weka, and basic programming skills are fundamental requirements to obtain a position.

What Is A Data Analyst

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A data analyst takes data and uses it to help companies make better business decisions. A data analyst acquires information about specific topics and then interprets, analyzes, and presents findings in comprehensive reports. Many different types of businesses use data analysts to help collect and analyze data. As experts, data analysts are often called on to use their skills and tools to provide competitive analysts and identify trends within industries.

A data analyst is similar to a data scientist but theyre not precisely the same job, but are often not responsible for creating the algorithms used for data discovery and acquisition. Rather than creating their own data projects, data analysts often find themselves tackling specific business tasks using existing tools, systems, and data sets. Both careers share a common goal: to discover how to use information to answer questions and solve problems for the benefit of their business/industry.

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Fine Tune Your Technical Skills

Becoming a senior data analyst requires expertise in several different areasa process that often takes many years. Experts recommend that young analysts cement their knowledge of the basics in core areas like statistics, data manipulation and machine learning. Its also important that you improve your programming skills in multiple languages, such as SAS, R and Python. Some of the areas that youll need to be familiar with to become a senior data analyst include:

  • MapReduce and Hadoop
  • SQL databases and querying languages
  • Business Intelligence platforms

In addition to your technical skills, you ll need good problem-solving skills because a large part of data analysis involves figuring how to deal with missing data elements or reformatting data sets. Youll also need to be highly organized and be extremely detail oriented.

What Are The Major Industries In Chicago

One of the main reasons for the development of Chicago in several industries is its central location. Major industries in Chicago include technology, the food industry, business, and professional services, among others. With the increase in tech companies settling in the city, there is a high demand for professionals with Data Analyst training in Chicago.

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Employment Outlook For Data Analytics Professionals

The demand for data analysts and other professionals in the data science industry is expected to keep growing in 2021 and beyond.

  • The U.S. Bureau of Labor Statistics projects that employment of data scientist and mathematical science occupations will grow 31% through most of this decade, making it number 11 on their list of the 20 fastest-growing occupations.
  • A report by the World Economic Forum listed data analyst as one of the top positions that companies will be hiring for in this decade.
  • In January 2021, named data science specialists as 1 of 15 in-demand positions.
  • According to the BLS, employment of operations research analystsa position closely related to data analyticsis expected to grow 25% through most of this decade, which is much faster than average.

I Knowledge Of Programming Languages

Data analysis career growth | Beyond entry-level!

If you wish to build a career in data analytics or data science, you must possess proficient knowledge of programming languages. Python and R are two prevalent languages in the field of data science and analytics. Both languages offer data collection and processing frameworks that allow you to work efficiently with data sets. A career in data analytics is easier if you are proficient in either of the two languages.

Projects using Python/R for Data Analysts

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Skills Required For An Hr Data Analyst Career Path

  • A bachelor’s degree in business, human resources, industrial/organizational psychology, statistics, or similar field, AND 3+ years of experience in business analytics, human resources, or other business-related roles OR a master’s degree in business, human resources, industrial/organizational psychology, statistics, or a related field AND 2+ years of experience in business analytic roles OR 5+ years of experience in business analytics, human resources, or other business-related functions.

  • 3+ years of practical knowledge with BI tools .

  • 3+ years of HR-related work experience.

Types Of Data Analysts

As advancing technology has rapidly expanded the types and amount of information we can collect, knowing how to gather, sort, and analyze data has become a crucial part of almost any industry. Youâll find data analysts in the criminal justice, fashion, food, technology, business, environment, and public sectorsâamong many others.

People who perform data analysis might have other titles such as:

  • Medical and health care analyst

  • Intelligence analyst

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Where Could A Career In Data Analytics Take You A Guide To Data Analytics Jobs

What are some common data analytics jobs? Where could a career in data take you? Find out in this guide.

Data analyst is one of the most in-demand job titles, and youll find that skilled data professionals can work in almost any industry, across a wide range of organizations. As such, becoming a qualified data analyst will open the door to a highly varied and rewarding career path.

To give you a glimpse of what the future might hold once youve added data analytics to your skillset, weve compiled a list of some of the most sought-after roles within the field. Well explain what each role entails and consider how many years of experience youll need to apply for such positionsallowing you to gauge how quickly you can progress in the industry. Well also take a look at the kind of salary you can expect with each role.

So: Where data analytics jobs and job titles are out there? Lets find out.

Typical Data Analyst Career Path

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You must be wondering- Who are data analysts? What do they do?

A data analyst gathers, organizes, and analyzes data statistically. Using precise calculations and suitable algorithms, they support business decisions and enable organizations to generate higher revenues. A career in data analytics is an excellent option if you like using data to resolve complex problems and have strong critical reasoning skills.

So, do you think you are convinced to build a successful career in data analytics? If yes, its time for you to check out what a typical data analytics career path looks like. Let us dive right into it!

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Six Sigma Data Analytics Certification

SSGI or Six Sigma Global Institute provides an online data analytics training and certification program. It can be taken by both students and professionals, or employees seeking to expand their skill set in data analysis. Designed as a self-paced course, students have access to the materials for life after a one-time payment of $199 that covers both the training, examination and final certification.

Skills Required For A Data Analytics Manager

  • A postgraduate degree in data and technology management or relevant professional experience.

  • Five to ten years of experience in the finance industry with data management and business intelligence.

  • Thorough knowledge of analytics and BI tools, including SQL, Alteryx, Power BI, and Excel.

  • Solid understanding of advanced analytics and statistics, as well as predictive modeling.

  • Efficient analytical skills include identifying, gathering, organizing, analyzing, and interpreting trends or patterns in large, complicated data sets.

  • Excellent project management and leadership skills.

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Key Responsibilities Of A Marketing Data Analyst Career Path

  • Provide data and customer insights to the marketing team.

  • Provide the marketing staff insights to help them understand and achieve their quarterly strategic objectives.

  • Analyze how marketing efforts affect consumer success and future behavior.

  • Accountable for all aspects of business analytics activity, including data quality, analysis, visualization, and presentation of outcomes and deliverables.

  • Assessing usage metrics and establishing business reasons for trends and patterns in customer lifecycle behavior.

  • Gather, examine, and understand transactional and advertising campaign performance data.

  • Create data models and analytical tools for ongoing market analysis, benchmarking, audience segmentation, and trend analysis.

  • Design, execute, and analyze A/B testing to improve the effectiveness of marketing efforts.

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Do Data Analysts Need To Code

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There is no requirement for advanced coding skills when it comes to data analysts. Instead, they just need to focus on having more experience using different analytics tools and software and a proper understanding of data visualization software and data management programs. If you are not very much proficient in coding, you can still find a decent job as a data analyst in any company.

Learning proper programming and coding comes under the job role of a data scientist. However, it is usual to find a data analyst with proper command over R, SQL, and Python. But, it is not mandatory to possess coding skills as data analysts work with data and prepare actionable insights from it without any coding.

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What’s The Job Outlook For A Data Analyst

A skilled data analyst can have a very successful and diverse career path. Small and big companies need data analysts to improve their business functions, provide clarity to business queries and work on various data projects. Data analysts are also required in hospitals to focus on patient analytics to monitor patient health.

Data Scientists Salary Range In India

The average data scientists salary is 698,413. An entry-level data scientist can earn around 500,000 per annum with less than one year of experience. Early level data scientists with 1 to 4 years experience get around 610,811 per annum.

A mid-level data scientist with 5 to 9 years experience earns 1,004,082 per annum in India. As your experience and skills grow, your earnings rise dramatically as senior-level data scientists around more than 1,700,000 a year in India!

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Advantages Of Data Analytics Career

With the growing need for Data Analysts, there are several advantages to establishing a career in data in 2022, including:

The growth of data, and how it is created, processed, and archived, has radically changed the way organizations make choices. Transitioning into a profession in data analytics gives a myriad of intriguing routes, especially as the number of employment prospects grows. So, sign up for this course now!

Check out our blog to get more career-building tips and ideas on various job sectors in the USA.

Customer Needs And Marketing

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Consumers are demanding in the 21st century.

Salesforce, a web-based platform that businesses use to manage leads and customers, surveyed consumers and found that 76% of consumers expect companies to understand their needs and expectations. Other findings from the Salesforce survey:

  • Customers say they want to be treated like people, not numbers
  • Customers say if you understand how customers use products and services, youll win their business
  • Customers are 2.1 times more likely to view personalized offers as important versus unimportant

The message is clear: Customers expect you to know who they are, what they want, and when they need it. Companies have an enormous amount of data readily available to meet those demands.

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Is It Worth Learning Data Analytics

If you are related to the tech world, there is no way you do not understand the importance of the word data. The world is nothing without data and hence we need someone who can play with it and get something useful out of it. This is where a data analyst comes into the picture.Data analytics is hands down among the top trending fields and is high-paying as well. An average data analyst earns up to $72,250 per year which is pretty amazing. So, we can deduce that learning data analytics is totally worth it as it is in demand and pays you well too.

Become A Data Analyst

Speak to a Learning Advisor to learn more about how our bootcamps and courses can help you become a Data Analyst.

Yes, data analytics is a very good career. Simply put, there has never been a better time to be a data professional. About 2.5 quintillion bytes of data are created every dayand that pace is only quickening. That explosion of data is driving the industry that leverages it as organizations data collection grows in scope and sophistication, its inevitable that theyll want to make use of that data, and Data Analysts are at the forefront of this trend.

Fittingly, high demand for Data Analysts correlates to an increase in salarymany Data Analysts salaries sit quite comfortably above the $70,000 line, even in junior positions, with senior and highly specialized positions typically reaching over $100,000.

Besides the high demand and commensurate salary, Data Analysts have the opportunity to work collaboratively and contribute to the decision-making process at the highest level, which can also translate into an opportunity to move into more managerial positions. Many Data Analysts also enjoy an ability to travel and work remotely or relocate easily, even internationally. Whether the nature of the work itself is a good fit depends entirely on the individual, but the salary, perks, and job security are considerable.

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Career In Data Analytics: What Does A Data Analyst Do

A data analyst gathers, processes, and analyzes the large volume of data from various sources to find meaningful patterns and insights, identify relevant questions, make predictions, and convert information into solutions to help the organization in the decision-making process. In laymans language, data analysts convert raw data into meaningful information so that they can be consumed by organizations to grow their business. They prepare visual representation of their findings to make it easy for others to understand.

A day-to-day data analyst role may differ based on the industry or domain that they are working in. In some organizations, analysts are also responsible for designing dashboards, maintaining databases and systems for various departments throughout an organization. A data analyst may also work with key stakeholders, top management, or other teams within the company. These include IT, finance, and database infrastructure to determine business goals and provide findings to achieve their goals.

Developing A Data Analyst Portfolio

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Becoming a data analyst or any professional today requires you to be able to showcase your past work. So even though you are just starting in the field, you are still expected to showcase some projects you have successfully completed. This is quite understandable as it helps to instill confidence in you as a prospective employee. How can a novice without job experience create an enticing and inspiring professional portfolio?

One good way is by working on projects dedicatedly. By projects I mean jobs for friends and family that may be willing to try you out for a little token. It also includes projects, codes, and tests written at the end of online courses and competitions from data analysis communities. All these can be put together in a well-arranged and organized folder using any cloud storage platform that you can easily share with prospective employees. Some platforms you can try out include GitHub, Topcoder, and Kaggle.

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How To Learn Data Analytics

Data Analytics is one of the major areas to explore in this digitalized world. To learn data analytics, you need to have an in-depth understanding of SQL, Python or R programming, data visualization techniques, statistics, regression, and more. While you can get started on your own, it is recommended to enroll in a University partnered Data Analytics Bootcamp to learn data analytics from Purdue faculty. Youll get up-to-date knowledge of the field and know about the strategies and best practices that are actually followed by companies.

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