#entry level jobs for data analyst

[deus-ex-mona]

it’s ✨okay✨, right~?

[sixstringphonic]

“A recent Goldman Sachs study found that generative AI tools could, in fact, impact 300 million full-time jobs worldwide, which could lead to a ‘significant disruption’ in the job market.”

“Insider talked to experts and conducted research to compile a list of jobs that are at highest-risk for replacement by AI.”

Tech jobs (Coders, computer programmers, software engineers, data analysts)

Media jobs (advertising, content creation, technical writing, journalism)

Legal industry jobs (paralegals, legal assistants)

Market research analysts

Teachers

Finance jobs (Financial analysts, personal financial advisors)

Traders (stock markets)

Graphic designers

Accountants

Customer service agents

"’We have to think about these things as productivity enhancing tools, as opposed to complete replacements,’ Anu Madgavkar, a partner at the McKinsey Global Institute, said.”

What will be eliminated from all of these industries is the ENTRY LEVEL JOB.  You know, the jobs where newcomers gain valuable real-world experience and build their resumes?  The jobs where you’re supposed to get your 1-2 years of experience before moving up to the big leagues (which remain inaccessible to applicants without the necessary experience, which they can no longer get, because so-called “low level” tasks will be completed by AI).

There’s more...

Wendy’s to test AI chatbot that takes your drive-thru order

“Wendy’s is not entirely a pioneer in this arena. Last year, McDonald’s opened a fully automated restaurant in Fort Worth, Texas, and deployed more AI-operated drive-thrus around the country.”

BT to cut 55,000 jobs with up to a fifth replaced by AI

“Chief executive Philip Jansen said ‘generative AI’ tools such as ChatGPT - which can write essays, scripts, poems, and solve computer coding in a human-like way - ‘gives us confidence we can go even further’.”

Why promoting AI is actually hurting accounting

“Accounting firms have bought into the AI hype and slowed their investment in personnel, believing they can rely more on machines and less on people.“

Will AI Replace Software Engineers?

“The truth is that AI is unlikely to replace high-value software engineers who build complex and innovative software. However, it could replace some low-value developers who build simple and repetitive software.”

[safdarrizvi]

Accenture hiring engineering and non-engineering graduates with 0-23 months of work experience

Use the link below and apply. Please let me know if anyone facing issue:

[aionlinemoney]

India’s Tech Sector to Create 1.2 Lakh AI Job Vacancies in Two Years

India’s technology sector is set to experience a hiring boom with job vacancies for artificial intelligence (AI) roles projected to reach 1.2 lakh over the next two years. As the demand for AI latest technology increases across industries, companies are rapidly adopting advanced tools to stay competitive. These new roles will span across tech services, Global Capability Centres (GCCs), pure-play AI and analytics firms, startups, and product companies.

Following a slowdown in tech hiring, the focus is shifting toward the development of AI. Market analysts estimate that Indian companies are moving beyond Proof of Concept (PoC) and deploying large-scale AI systems, generating high demand for roles such as AI researchers, product managers, and data application specialists. “We foresee about 120,000 to 150,000 AI-related job vacancies emerging as Indian IT services ramp up AI applications,” noted Gaurav Vasu, CEO of UnearthInsight.

India currently has 4 lakh AI professionals, but the gap between demand and supply is widening, with job requirements expected to reach 6 lakh soon. By 2026, experts predict the number of AI specialists required will hit 1 million, reflecting the deep integration of AI latest technology into industries like healthcare, e-commerce, and manufacturing.

The transition to AI-driven operations is also altering the nature of job vacancies. Unlike traditional software engineering roles, artificial intelligence positions focus on advanced algorithms, automation, and machine learning. Companies are recruiting experts in fields like deep learning, robotics, and natural language processing to meet the growing demand for innovative AI solutions. The development of AI has led to the rise of specialised roles such as Machine Learning Engineers, Data Scientists, and Prompt Engineers.

Krishna Vij, Vice President of TeamLease Digital, remarked that new AI roles are evolving across industries as AI latest technology becomes an essential tool for product development, operations, and consulting. “We expect close to 120,000 new job vacancies in AI across different sectors like finance, healthcare, and autonomous systems,” he said.

AI professionals also enjoy higher compensation compared to their traditional tech counterparts. Around 80% of AI-related job vacancies offer premium salaries, with packages 40%-80% higher due to the limited pool of trained talent. “The low availability of experienced AI professionals ensures that artificial intelligence roles will command attractive pay for the next 2-3 years,” noted Krishna Gautam, Business Head of Xpheno.

Candidates aiming for AI roles need to master key competencies. Proficiency in programming languages like Python, R, Java, or C++ is essential, along with knowledge of AI latest technology such as large language models (LLMs). Expertise in statistics, machine learning algorithms, and cloud computing platforms adds value to applicants. As companies adopt AI latest technology across domains, candidates with critical thinking and  AI adaptability will stay ahead so it is important to learn and stay updated with AI informative blogs & news.

Although companies are prioritising experienced professionals for mid-to-senior roles, entry-level job vacancies are also rising, driven by the increased use of AI in enterprises. Bootcamps, certifications, and academic programs are helping freshers gain the skills required for artificial intelligence roles. As AI development progresses, entry-level roles are expected to expand in the near future. AI is reshaping the industries providing automation & the techniques to save time , to increase work efficiency. 

India’s tech sector is entering a transformative phase, with a surge in job vacancies linked to AI latest technology adoption. The next two years will witness fierce competition for AI talent, reshaping hiring trends across industries and unlocking new growth opportunities in artificial intelligence. Both startups and established companies are racing to secure talent, fostering a dynamic landscape where artificial intelligence expertise will be help in innovation and growth. AI will help organizations and businesses to actively participate in new trends.

#aionlinemoney.com

[mvishnukumar]

Is it possible to transition to a data scientist from a non-tech background at the age of 28?

Hi,

You can certainly shift to become a data scientist from a nontechnical background at 28. As a matter of fact, very many do. Most data scientists have actually shifted to this field from different academic and professional backgrounds, with some of them having changed careers even in their midlife years. 

Build a Strong Foundation:

Devour some of the core knowledge about statistics, programming, and data analysis. Online classes, bootcamps—those are good and many, many convenient resources. Give it a whirl with Coursera and Lejhro for specific courses related to data science, machine learning and programming languages like Python and R.

A data scientist needs to be proficient in at least one or two programming languages. Python is the most used language for data science, for it is simple, and it has many libraries. R is another language that might come in handy for a data scientist, mostly in cases connected with statistical analysis. The study of manipulation libraries for study data and visualization tools includes Pandas for Python and Matplotlib and Seaborn for data, respectively.

Develop Analytical Skills:

The field of data science includes much analytics and statistics. Probability, hypothesis testing, regression analysis would be essential. These skills will help you derive meaningful information out of the data and also allow you to use statistical methods for real-world problems.

Practical experience is very important in the field of data science. In order to gain experience, one might work on personal projects or contribute to open-source projects in the same field. For instance, data analysis on publicly available datasets, machine learning, and creating models to solve particular problems, all these steps help to make the field more aware of skills with one's profile.

Though formal education in data science is by no means a requirement, earning a degree or certification in the discipline you are considering gives you great credibility. Many reputed universities and institutions offer courses on data science, machine learning, and analytics.

Connect with professionals in the same field: try to be part of communities around data science and attend events as well. You would be able to find these opportunities through networking and mentoring on platforms like LinkedIn, Kaggle, and local meetups. This will keep you abreast of the latest developments in this exciting area of research and help you land job opportunities while getting support.

Look out for entry-level job opportunities or internships in the field of data science; this, in effect, would be a great way to exercise your acquired experience so far. Such positions will easily expose one to a real-world problem related to data and allow seizing the occasion to develop practical skills. These might be entry-level positions, such as data analysts or junior data scientists, to begin with.

Stay Current with Industry Trends: Data science keeps on evolving with new techniques, tools, and technologies. Keep up to date with the latest trends and developments in the industry by reading blogs and research papers online and through courses.

Conclusion: 

It is definitely possible to move into a data scientist role if one belongs to a non-tech profile and is eyeing this target at the age of 28. Proper approach in building the base of strong, relevant skills, gaining practical experience, and networking with industry professionals helps a lot in being successful in the transition. This is because data science as a field is more about skills and the ability to solve problems, which opens its doors to people from different backgrounds.

[skytechacademy]

Can you explain the differences between A+, Network+, and Security+ certifications from CompTIA? Which certification is considered more valuable and why?

Certainly! CompTIA offers several certifications that are widely recognized in the IT industry. A+, Network+, and Security+ are three of the most popular certifications, each focusing on different areas of IT. Here's a breakdown of each:

A+ Certification:

Focus: This certification is geared towards entry-level IT professionals and covers foundational skills in IT hardware, software, networking, and troubleshooting.

Topics: A+ covers areas such as PC hardware, operating systems (Windows, Linux, macOS), networking, mobile devices, security, and troubleshooting.

Job Roles: A+ certification holders often work in roles such as technical support specialists, help desk technicians, and field service technicians.

Value: A+ is valuable for individuals starting their IT careers as it provides a solid foundation of IT knowledge and skills. It's often a prerequisite for more advanced certifications.

Network+ Certification:

Focus: Network+ focuses specifically on networking concepts and skills required for IT professionals working with networks, both wired and wireless.

Topics: Network+ covers areas such as network technologies, installation and configuration, media and topologies, management, security, and troubleshooting.

Job Roles: Network+ certification holders typically work in roles such as network administrators, network technicians, and systems engineers.

Value: Network+ is valuable for individuals seeking to specialize in networking. It provides a comprehensive understanding of networking fundamentals and is recognized by employers as validation of networking knowledge and skills.

Security+ Certification:

Focus: Security+ is focused on cybersecurity concepts and skills, covering best practices in securing networks, systems, and applications.

Topics: Security+ covers areas such as network security, compliance and operational security, threats and vulnerabilities, application, data, and host security, access control, identity management, and cryptography.

Job Roles: Security+ certification holders often work in roles such as security analysts, security specialists, security administrators, and network security engineers.

Value: Security+ is highly valuable in today's cybersecurity landscape. It demonstrates proficiency in cybersecurity principles and practices and is often required or recommended for cybersecurity-related roles.

In terms of which certification is considered more valuable, it largely depends on your career goals and the specific job role you're targeting. However, comptia Security+ certification is often regarded as more valuable in terms of salary and job prospects due to the increasing demand for cybersecurity professionals and the critical importance of cybersecurity in modern IT environments. That said, all three certifications have their own merit and can be valuable depending on your career path and interests.

[optjobsinusas-blog]

For freshers and entry-level data analyst positions, employers typically sought candidates with strong analytical. And problem-solving abilities, along with relevant educational background or certifications in data-related fields.

[walkawaytall]

Can you talk more about your job? What did you do? How did you end up in that career and industry?

So, I'm not going to disclose my exact industry, but it honestly doesn't really matter because I'm a data analyst, and data professionals are necessary in just about any industry you can think of. I kind of backward engineered my way into this career. Like, I got laid off two jobs in a row back when I was working as an executive assistant (EA is truthfully not a great fit for me -- I always thrived with any special project I was handed, but the day-to-day stuff is a drag. That being said, I wasn't fired; it really was two layoffs in a row. I remember thinking no one would believe me :D), and a family member worked for a company that I knew was just a really good company to work for. I applied for an entry-level tech position there and didn't get it, but one of the managers who interviewed me remembered me when she was looking for some contractors to do data clean-up work for a project. I came in as a contractor, worked my ass off to learn about the company's data and sort of became an unofficial team lead for the group of contractors I was working with. I also learned some skills like how to write SQL that came in handy when a permanent position opened up with the company, and I was able to come in as an actual employee. I've continued to learn and grow my skillset, but my job years later actually also centers on data quality -- though I do less cleaning up and more building auditing tools, finding data issues that need to be fixed, etc.

(Just a note: "data analyst" can involve a wide range of responsibilities and skills. I've done a lot of data quality work in part because I genuinely like it, but a lot of my colleagues are doing more work with statistics and analyzing trends in the work my company does, etc.)

[vivekavicky12]

Charting Your Course: A Roadmap to a Successful Data Science Career

Embarking on a career in data science is a thrilling journey marked by continuous learning, skill development, and real-world applications. Whether you're a beginner or looking to specialize, understanding the types of data science courses available is crucial. Choosing the best Data Science Institute can further accelerate your journey into this thriving industry. This comprehensive guide outlines the typical path a data scientist takes, from educational foundations to leadership roles, providing insights for aspiring professionals.

1. Educational Foundation:

A strong educational background forms the bedrock of a data scientist's career. Degrees in statistics, mathematics, or computer science, whether at the bachelor's, master's, or Ph.D. level, set the stage for a deep understanding of data principles.

2. Specialized Training:

The journey intensifies with specialized training. Online courses, bootcamps, and workshops offer hands-on experience in programming languages (Python, R), data manipulation, statistical analysis, machine learning, and data visualization.

3. Building a Skill Set:

Versatility defines a data scientist's skill set. Proficiency in programming languages, expertise in data manipulation libraries, knowledge of machine learning algorithms, and familiarity with data visualization tools contribute to a well-rounded skill set.

4. Gaining Practical Experience:

Transitioning theory into practice is paramount. Engaging in real-world projects or internships provides the practical experience necessary to apply skills in a professional setting and develop problem-solving capabilities.

5. Developing a Portfolio:

A robust portfolio becomes a calling card. Showcasing completed projects, data analyses, and machine learning models offers tangible proof of skills and accomplishments, enhancing prospects during job applications and interviews.

6. Networking and Community Engagement:

Data science thrives on community collaboration. Networking through events, conferences, and online forums fosters connections, provides learning opportunities, and opens doors to career advancement.

7. Job Entry and Specialization:

Entry-level positions like data analyst or junior data scientist serve as entry points. With experience, professionals may specialize in areas such as machine learning, data engineering, or natural language processing based on their interests.

8. Continuous Learning:

Data science is synonymous with constant evolution. A commitment to continuous learning ensures professionals stay abreast of industry trends, new technologies, and emerging methodologies, contributing to ongoing success.

9. Leadership and Advanced Roles:

Seasoned data scientists may progress into leadership roles, such as data science manager or director. Specialization in niche areas or transitions to roles like Chief Data Officer represent the pinnacle of a data scientist's career journey.

The journey of a data scientist is a dynamic expedition that demands a commitment to education, hands-on experience, and continuous growth. As technology evolves, so does the role of a data scientist. Adapting to change, staying connected with the community, and embracing lifelong learning are the keys to unlocking the vast potential within the realm of data science. Whether you're starting your journey or looking to ascend to leadership roles, the path is rich with opportunities for those willing to explore and innovate. Choosing the best Data Science courses in Chennai is a crucial step in acquiring the necessary expertise for a successful career in the evolving landscape of data science.

[itsolutionsworld]

Data Analyst Entry Level Jobs in USA

To begin your career in the right direction in an industry you must look for an entry level data analyst jobs. Data analysts work in a wide range of fields and industries. Data analysts are increasingly valuable in many other sectors as well as businesses and organisations. They take messy data and make it neat and organised. Then, they use computer tools to find interesting things in the data, like trends and patterns. They work with experienced analysts to learn and help the company make smart decisions using data. 

[blogchaindeveloper]

How To Become Cybersecurity Expert: Scope, Skills, and Salary

In today's digitally interconnected world, it is of utmost importance to secure your company from online threats. Cybersecurity experts play a crucial role in achieving this goal. Their primary responsibility is to proactively identify and prevent potential attacks. They conduct scans and analyze network data to detect any weaknesses and dangers in networks, data centres, and software systems. Additionally, they ensure that hardware and software are always kept up-to-date.

In this article, we'll explore what a cybersecurity professional does, the skills they need, the career growth possibilities, and the typical salary. You can enhance your knowledge in this field by taking a cybersecurity certification online course to learn about modern information and system protection technologies.

What Does a Cybersecurity Specialist Do?

A cyber security specialist is essentially a guardian of computer networks and systems. Their primary mission is to shield these digital domains from a multitude of cyber threats while ensuring the confidentiality, integrity, and availability of critical data. Here are some key responsibilities of a cyber security specialist:

Identifying Vulnerabilities: Their first task is to hunt down and fix security weaknesses in networks, data centres, and software systems. Think of them as the digital detectives who uncover potential entry points for cybercriminals.

Implementing Security Controls: Cyber security specialists employ a variety of security measures such as firewalls, encryption, and multi-factor authentication to fortify digital assets against potential attacks. These measures act as digital barriers, thwarting unauthorized access.

Monitoring Activity: They keep a vigilant eye on network and system activity, looking for any signs of intrusion or suspicious behaviour. This proactive approach enables them to respond swiftly to potential threats.

Responding to Incidents: In the event of a cyberattack, cyber security specialists jump into action. They react swiftly, notifying law enforcement, restoring backups, and communicating with the affected parties through public statements.

Keeping Up with Trends: The ever-evolving nature of cyber threats means that cyber security specialists must stay updated on the latest trends and technologies in the field. Being one step ahead is essential in this game. 

Depending on their specialization and level of expertise, cyber security specialists may have different job titles, including:

Cybersecurity Analyst: Responsible for planning, implementing, and monitoring security strategies within an organization.

Cybersecurity Engineer: Designing and building systems to safeguard digital information.

Cybersecurity Architect: Developing and overseeing an organization's entire cyber security strategy.

Cybersecurity Manager: Formulating and implementing security policies while managing security teams.

Penetration Tester: Simulating cyberattacks to identify security weaknesses and providing recommendations.

Chief Information Security Officer: Leading an organization's cybersecurity efforts and collaborating with other executives.

Information Security Crime Investigator: Reviewing evidence to determine if cybercrimes have occurred and assisting law enforcement in apprehending suspects.

Cybersecurity Consultant: Advising organizations on how to identify and mitigate network risks.

Cybersecurity Specialist Skills

Cybersecurity specialist requirements include a blend of technical and soft skills. Here's a breakdown:

Technical Skills:

Network Security: The ability to protect networks from unauthorized access, misuse, or disruption is a foundational skill.

Cryptography: Understanding mathematical techniques to encrypt and decrypt data is essential for securing sensitive information.

Risk Management: Assessing and mitigating potential threats to an organization's information systems is crucial to avoid vulnerabilities.

Cybersecurity Tools and Technologies: Proficiency in using various software and hardware tools for tasks like scanning, testing, and auditing is vital.

Soft Skills:

Communication Skills: Effectively conveying security concepts and findings to both technical and non-technical audiences is essential for collaboration and understanding.

Problem-Solving Skills: The ability to analyze complex situations and find effective solutions is key to navigating the ever-changing cyber landscape.

Critical Thinking Skills: Evaluating information objectively and logically helps make informed decisions in high-pressure situations.

Strategic Thinking Skills: Planning and anticipating future scenarios enable proactive security measures.

How to Become a Cybersecurity Specialist?

Entering the field of cyber security can be achieved through various avenues. Here are some common paths:

Formal Education: Enroll in college or university programs that offer degrees or diplomas in cyber security or related fields. This provides a solid academic foundation.

Self-Study and Certification: Study independently using online resources and obtain relevant certifications to showcase your knowledge and skills. This self-driven approach allows flexibility.

Volunteering and Training: Seek opportunities to volunteer or join organizations offering cybersecurity training programs or internships. Practical experience is invaluable.

Entrepreneurship: Consider starting your own cybersecurity business or joining a team of experts. This path offers autonomy and the chance to work on diverse projects.

What Certifications are Needed for Cybersecurity?

Cyber security certifications are vital for validating your expertise and commitment to the field. They also provide a structured path for acquiring the necessary skills and knowledge. Here are some common certifications:

Certified Cybersecurity Expert™: Ideal for entry-level professionals, this certification covers the fundamentals of cyber security, including network security, threat management, and cryptography.

Certified Information Security Executive™: Designed for experienced professionals, it delves into advanced aspects like security architecture, risk management, and governance.

Certified White Hat Hacker™: Specializing in offensive security, this certification covers ethical hacking techniques, including penetration testing, vulnerability assessment, and malware analysis.

Salary Expectations for Cybersecurity Specialists

The salary of a cyber security specialist can vary based on factors such as location, experience, education, and certifications. However, the average salary in the United States is approximately $117,419 per year. Experienced professionals can command even higher earnings, while those with advanced degrees or certifications enjoy enhanced job prospects.

In conclusion, cyber security is a dynamic and rewarding field that offers a wide array of career opportunities. By understanding the role, acquiring the necessary skills and certifications, and exploring salary prospects, you can embark on a fulfilling journey to become a cybersecurity specialist. Online cyber security certification courses are readily available to help you gain knowledge and skills in modern information and system protection technologies. With dedication and the right tools, you can help safeguard the digital world from cyber threats and play a crucial role in our increasingly digital lives.

If you're interested in pursuing cyber security or blockchain security certifications with a focus on emerging technologies like blockchain, consider exploring the offerings provided by the Blockchain Council. The Blockchain Council is a respected consortium of subject matter experts and enthusiasts dedicated to advancing blockchain research and development, exploring use cases and products, and disseminating knowledge for a better world.

[jobaaj]

A career in management consulting can be both challenging and rewarding, as it involves helping organizations solve complex problems and improve their overall performance. Management consultants work with a wide range of clients, from large corporations to small businesses, non-profit organizations, and government agencies. If you're considering a career in management consulting, here are some key aspects to consider:

Roles and Responsibilities: Management consultants are hired to provide objective advice and expertise in various areas of business. Their responsibilities can include analyzing data, conducting research, developing strategies, implementing changes, and advising clients on organizational improvements. Consultants may specialize in different industries or functional areas such as strategy, operations, finance, human resources, IT, or marketing.

Qualifications and Skills: A strong educational background is often required for entry into management consulting. Most firms prefer candidates with at least a bachelor's degree, and many consultants hold advanced degrees (e.g., MBA, MSc, or Ph.D.). In addition to formal education, consultants need excellent analytical, problem-solving, and communication skills. They should be able to work well in teams and be adaptable to various working environments.

Industry Knowledge: Management consultants often need to understand specific industries and sectors they work in. Gaining expertise in a particular field can help you stand out and be more effective in your consulting engagements.

Consulting Firms: There are several well-known management consulting firms with global reach, such as McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Deloitte, PwC, EY, and others. These firms offer diverse opportunities for consultants to work on a wide range of projects and industries.

Travel and Work-Life Balance: Management consulting often involves travel, especially for client engagements. Depending on the firm and project, consultants may spend a significant amount of time on the road or at client sites. This can impact work-life balance, so it's essential to consider how much travel you are comfortable with.

Career Progression: A career in management consulting can offer a well-defined progression path. Consultants typically start as analysts or associates and can advance to senior consultant, manager, and ultimately, partner or director level. Alternatively, some consultants may choose to transition into industry roles after gaining experience.

Impact and Learning Opportunities: Management consultants have the opportunity to work on high-impact projects that can shape the future of organizations. The job also provides continuous learning opportunities as consultants tackle diverse challenges across various industries.

Demand and Job Market: The demand for management consultants can fluctuate based on the economic climate and the specific needs of industries. Consulting firms may go through periods of expansion or contraction, affecting job availability.

Entrepreneurial Opportunities: Experienced consultants may choose to start their consulting firms or join boutique consulting companies to focus on specific niches or industries.

Overall, a career in management consulting can be intellectually stimulating and provide exposure to various business environments. It's essential to research different firms, understand their areas of expertise, and network with professionals in the industry to make an informed decision about pursuing this career path.

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[optjobsinusas-blog]

Apart from being good at the technical requirements of Data Analyst jobs of data handling, data management, and data analysis. They must be good at communication, problem-solving, and critical decision-making, and they must have good financial knowledge. They process the data and visualize the data using statistical and mathematical approaches. visit at - https://www.optnation.com/blog/your-guide-to-becoming-a-data-analyst/