#Data Analyst Market

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Data Analyst Salaries in 2023: A Comprehensive Guide

Data analyst play a pivotal role in organizations, translating raw data into actionable insights. In the ever-expanding realm of data analysis, professionals who wield the power of data to make informed business decisions are in high demand. As we step into 2023, let’s take a closer look at the salaries of data analysts and how they have evolved in recent years.

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High demand and high paying jobs.

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Correspondence analysis is a statistical technique used to analyze the associations between categorical variables in large datasets. It aims to uncover patterns and relationships between the categories of different variables by visualizing them in a low-dimensional space, typically a two-dimensional plot.

This method is particularly useful when dealing with categorical data, such as survey responses, where variables are not numerical but represent different categories or levels. Correspondence analysis transforms the categorical data into a graphical representation, allowing for easier interpretation of relationships between variables.

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10 Tech Jobs You Can Get Without a Degree (That Actually Pay Well)

Published By Prism HRC – Leading IT Recruitment Agency in Mumbai

Let’s get one thing straight: the idea that you need a degree to work in tech is outdated.

Sure, there are still companies stuck in the “must have BTech or nothing” mindset, but the smarter ones? They care about your skills, not your paperwork.

We work with tech recruiters every day, and trust us, if you can do the job well, nobody’s asking what your college attendance sheet looked like.

So, if you’re self-taught, bootcamp-trained, or just switching lanes, here are 10 legit tech jobs that don’t need a degree but absolutely pay like they do.

1. Web Developer (Frontend / Backend)

Build stuff people actually use websites, dashboards, internal tools, you name it. Most devs we see started with small projects, not classrooms.

Skills you’ll need: HTML, CSS, JavaScript, React, Node.js Salary Range: ₹4–18 LPA Reality check: If you have a decent GitHub and can explain your code, you’re already ahead of most applicants.

2. UI/UX Designer

Good design is invisible, but bad design gets people to uninstall your app in 10 seconds. UX folks make sure that doesn’t happen.

Skills: Figma, design thinking, user flows, wireframes Salary: ₹4–12 LPA Insider tip: Your portfolio is your resume here; don’t skip it.

3. Digital Marketing Specialist

No code. No problem. If you can sell products, grow audiences, or manage ads that convert, you’re already in demand.

Skills: SEO, paid ads, email funnels, analytics Salary: ₹3–10 LPA Bonus: Freelancers who know what they’re doing can scale up even faster than full-timers.

4. Tech Support Executive

If you've ever been the go-to “tech person” in your friend circle, this might be your entry point. It’s the frontline of IT.

Skills: OS basics, troubleshooting, soft skills Salary: ₹3–7 LPA Growth path: System admin → Cloud support → DevOps. It happens more often than you’d think.

5. Data Analyst

Think Excel meets storytelling. You’re not just reading spreadsheets; you’re explaining what they mean in plain English.

Skills: Excel, SQL, Tableau, Python (basic) Salary: ₹5–14 LPA Reality: You don’t need to be a math wizard, just data curious and consistent.

6. Cybersecurity Analyst

While companies go digital, someone needs to protect their digital doors. That’s  where you come in.

Skills: Network security, threat detection, firewalls Salary: ₹6–20 LPA Tip: Certifications matter here, but hands-on labs and projects carry weight too.

7. Cloud Support Engineer

The cloud isn’t just someone else’s computer; it’s a massive job market. You help keep those services alive and efficient.

Skills: AWS or Azure basics, Linux, networking Salary: ₹6–15 LPA Heads-up: Cloud certifications like AWS CCP are way cheaper than a college degree and more useful.

8. Graphic Designer/Motion Designer

Brands need to look good, and you make that happen. From logos to explainer videos, visual creatives are in constant demand.

Skills: Photoshop, Illustrator, After Effects Salary: ₹3–10 LPA Real talk: Your work should speak louder than your resume.

9. QA Tester / Automation Tester

Before an app or website goes live, someone needs to make sure it doesn’t crash and burn. That’s your job.

Skills: Manual testing, Selenium, test cases Salary: ₹4–12 LPA Note: Many QA testers get promoted into product, dev, or DevOps roles later.

10. Product Support/Customer Success

Not everyone in tech has to code. If you’re good with people and understand how software works, you can bridge the gap between users and devs.

Skills: Communication, product knowledge, CRM tools Salary: ₹3–9 LPA You’re perfect for this if you love helping people and you hate bad user experiences.

What’s the catch?

There isn’t one. But here's what does matter:

Your willingness to learn (and unlearn)

Real projects, even small ones

A portfolio, GitHub, or something that shows proof of work

The ability to talk about what you’ve done without sounding like ChatGPT

At Prism HRC, we’ve seen non-degree candidates land jobs at great companies simply because they knew their stuff. You don’t need a paper to prove you belong in tech. You just need skills, proof, and a bit of boldness.

- Based in Gorai-2, Borivali West, Mumbai - www.prismhrc.com - Instagram: @jobssimplified - LinkedIn: Prism HRC

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Best Data Analysis Courses Online [2025] | Learn, Practice & Get Placement

Surely, in this era where data is considered much more valuable than oil, data analytics must not be considered a hobby or niche skill; it must be considered a requisite for careers. Fresh graduates, current workers looking to upgrade, and even those wishing to pursue completely different careers may find that this comprehensive Master's in Data Analytics study-thorough training in the use of tools like Python, SQL, and Excel, providing them with greater visibility during applications in the competitive job market of 2025.

What is a Master’s in Data Analytics?

A Master's in Data Analytics is comprehensive training crafted for career advancement, with three primary goals for attaining expertise in:

·       Data wrangling and cleaning

·       Database querying and reporting

·       Data visualization and storytelling

·       Predictive analytics and basic machine learning

What Will You Learn? (Tools & Topics Breakdown)

1. Python for Data Analysis

·       Learn how to automate data collection, clean and preprocess datasets, and run basic statistical models.

·       Use libraries like Pandas, NumPy, Matplotlib, and Seaborn.

·       Build scripts to analyze large volumes of structured and unstructured data.

2. SQL for Data Querying

·       Master Structured Query Language (SQL) to access, manipulate, and retrieve data from relational databases.

·       Work with real-world databases like MySQL or PostgreSQL.

·       Learn advanced concepts like JOINS, Window Functions, Subqueries, and Data Aggregation.

 3. Advanced Excel for Data Crunching

·       Learn pivot tables, dashboards, VLOOKUP, INDEX-MATCH, macros, conditional formatting, and data validation.

·       Create visually appealing, dynamic dashboards for quick insights.

·       Use Excel as a lightweight BI tool.

 4. Power BI or Tableau for Data Visualization

·       Convert raw numbers into powerful visual insights using Power BI or Tableau.

·       Build interactive dashboards, KPIs, and geographical charts.

·       Use DAX and calculated fields to enhance your reports.

 5. Capstone Projects & Real-World Case Studies

·       Work on industry-focused projects: Sales forecasting, Customer segmentation, Financial analysis, etc.

·       Build your portfolio with 3-5 fully documented projects.

 6. Soft Skills + Career Readiness

Resume assistance and LinkedIn profile enhancement.

Mock interviews organized by domain experts.

Soft skills training for data-storied narrations and client presentations.

Any certification that counts toward your resume.

100% Placement Support: What Does That Mean?

Most premium online programs today come with dedicated placement support. This includes:

Resume Review & LinkedIn Optimization

Mock Interviews & Feedback

Job Referrals & Placement Drives

Career Counseling

Best Data Analytics Jobs in 2025 in Top Companies

These companies are always on the lookout for data-savvy professionals:

·       Google

·       Amazon

·       Flipkart

·       Deloitte

·       EY

·       Infosys

·       Accenture

·       Razorpay

·       Swiggy

·       HDFC, ICICI & other financial institutions and many more companies you can target

Why Choose Our Program in 2025?

Here's what sets our Master's in Data Analytics course apart:

Mentors with 8-15 years of industry experience

Project-based curriculum with real datasets

Certifications aligned with industry roles

Dedicated placement support until you're hired

Access from anywhere - Flexible for working professionals

Live doubt-solving, peer networking & community support

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Sintech E-Learning: Your Gateway to Digital Excellence

Sintech E-Learning is a premier online education platform designed to equip learners with in-demand skills in SEO, content marketing, web design, SMM, data analyst and more. With expert-led courses, hands-on training, and industry-recognized certifications, we help individuals and businesses stay ahead in the competitive digital landscape. Our courses offer flexible learning, real-world projects, and the latest industry insights to ensure success. Whether you're a beginner or a professional looking to upskill, Sintech E-Learning provides the tools and knowledge needed to excel.

Enroll today and take your digital career to new heights!

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Proven Ways how Digital Marketing can Boost your earnings?

Are you looking for ways how digital marketing can boost your earnings?

Whether you’re looking to start your own online business, freelance your skills, or land a high-paying marketing job, digital marketing offers abundant opportunities.

Let’s dive into 5 effective ways to monetize your digital marketing skills.

Content Writer

SEO Expert

Earn through Affiliate Marketing

Social Media Manager

E-commerce Specialist

One can start earning if he/she attains any of the above-mentioned skills. Digital Marketing skills are a composition of several different skill sets and all work all together to make one best. Digital Marketing skills are easy to learn with the right approach.

1. Work as a Content Writer/Copywriter

In the Digital world Content is known as the king out of all other sub parts of Digital Marketing. There is a bit of difference between working as a content writer and a copywriter.

A content writer is a person who is good with long from of writing like blogs, articles, press releases, etc. Basically, one who is good with explaining topics and attains deep knowledge of that product or service.

Whereas, the copywriter is a person who is good at writing short content in an attractive way that enhances sales. Writing ad copies is the best example to show what copyrights are needed for.

Most people hire a person who can do both hence enhancing your knowledge can help a student to start and boost earning content marketing skills.

2. Become an SEO Expert

After COVID-19, many businesses completely shifted their stores online. But, just shifting a business digitally one cannot come to experience their visibility. To gain this is important to fully optimize your website with the help of SEO.

SEO stands for Search Engine Optimization which helps a business to grow organically. This process is time-consuming as no monetary transaction is needed to complete this process, but this is the most reliable technique to make your website stand out from your competitors.

Initially, website SEOs were famous but with changes in time, even SEO has been divided into subgroups where a person can earn more if he/she attains complete knowledge of the process.

3. Earn through Affiliate Marketing

Affiliate Marketing is a way by which you can earn in the form of commissions by selling someone else’s product.

Chronology How Affiliate Marketing Works: –

Adding Affiliate links to your online platforms.

The customer will click on your affiliate link

The customer will visit the merchant site

The customer makes a purchase from the merchant

The affiliate tracking system records all those purchases.

The company validates the purchase as a valid sale.

The customer credited the transaction.

Finally, You will receive the commission.

Affiliate Marketing has a huge potential to boost earnings but you need to work continuously. Some individuals are earning six-figure incomes through affiliate programs.

4. Become a Social Media Manager

One of the most demanded ways to how Digital Marketing can boost your earnings. For every brand building a good social media presence has become an unsaid rule. This is very common that if you some product you go straight to their social media pages and look for their products and every information related to that particular brand.

According to Glassdoor, the average salary of a person is 30k. This is not bad at the start of the career and can increase as the person attains enough experience.

5. E-Commerce Specialist

As businesses are shifting to digital platforms, reaching their potential customers plays a crucial role.

A person attaining E-commerce skills is responsible for managing and executing all marketing strategies related to that product or service with the best sales.

Major responsibilities an E-Commerce Specialist needs to execute:

Analyzing On-Page elements that will enhance conversation rate/sales.

Managing and analyzing marketing campaigns

Website optimization and management

Optimizing the Product Store’s SEO

Planning Email Marketing Funnels

Planning of drop shipping, and cross-selling campaigns.

This is the most critical skill that requires skills like Communication, analytics, and critical thinking ability to make strategies based on the current reports.

Key Learnings

Digital Marketing will only grow in the future with more precise targeting information. There are plenty of ways Digital Marking offers to boost your earnings.

One can learn content writing, PPC management, Social media Marketing, email marketing, influencer marketing, etc. and boost their earnings.

“Discover proven digital marketing strategies to boost your earnings with insights from Digital CourseAI.”

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How To Become a Successful Freelance Developer & Other Tech

In this article, we are going through a detailed roadmap for tech professionals looking to transition into freelancing. We cover the essential steps to launch and maintain a successful freelance career in the technology sector. From identifying your niche and building a compelling portfolio to developing pricing strategies, acquiring clients, and managing your freelance business, this guide…

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How to Progress ahead with Mathematics?

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Data Science Job Market : Current Trends and Future Opportunities

The data science job market is thriving, driven by the explosive growth of data and the increasing reliance on data-driven decision-making across industries. As organizations continue to recognize the value of data, the demand for data scientists has surged, creating a wealth of opportunities for professionals in this field.

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data analysis course for beginners

Here are some recommended data analytics courses for beginners at VK Academy to learn foundational skills in 2024:

Introduction to Data Analysis: Provides a comprehensive introduction to data cleaning, manipulation, and visualization using tools like Excel, Python, or R.

SQL Fundamentals: Essential for querying databases and extracting insights, covering basic to intermediate SQL commands and database management.

Statistics for Data Science: Introduces fundamental statistical concepts and methods necessary for analyzing data and making data-driven decisions.

Data Visualization with Tableau: Focuses on creating interactive and insightful visualizations to effectively communicate data findings.

Python for Data Analysis: Teaches Python programming basics with a focus on data manipulation, analysis, and visualization libraries like Pandas and Matplotlib.

Machine Learning Basics: Provides an introduction to machine learning algorithms, their applications, and how to evaluate model performance.

Data Ethics and Privacy: Explores ethical considerations and regulatory aspects related to data handling, ensuring students understand responsible data practices.

Data Analytics Tools and Techniques: Covers a range of analytics tools and techniques such as regression analysis, clustering, and data mining, preparing students for diverse data analysis tasks.

These courses can be integrated into VK Academy's curriculum or offered as standalone workshops, providing students with practical skills and foundational knowledge in data analytics relevant for academic and future career pursuits in 2024 and beyond.

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2024 Trends in Mobile Artificial Intelligence Market

In 2024, the Mobile Artificial Intelligence market is poised for groundbreaking trends. Witness an era of AI-driven innovation, where mobile devices become intelligent companions. Expect advancements in Natural Language Processing (NLP), enabling more conversational and context-aware interactions. Edge AI will dominate, empowering devices to process data locally, enhancing speed and privacy. The integration of AI into mobile apps will revolutionize user experiences, offering personalized services and predictive functionalities. As the mobile AI landscape evolves, seamless integration with IoT and 5G technologies will unlock unprecedented possibilities, shaping a future where intelligence meets mobility.

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In-Demand Skills of Data Analyst and Salaries through Comprehensive Market Analysis.

Data Analytics Skills:-

Python in Data Analytics

One of the most common uses for Python is in its ability to create and manage data structures quickly — Pandas, for instance, offers a plethora of tools to manipulate, analyze, and even represent data structures and complex datasets.

This includes time series and more complex data structures such as merging, pivoting, and slicing tables to create new views and perspectives on existing sets.

SQL (Database)

Structured Query Language, commonly known as SQL, serves as the universal language for interacting with databases. Proficiency in SQL empowers individuals to efficiently update, organise, and retrieve data from relational databases, including the ability to modify data structures, known as schemas.

For aspiring data analysts, SQL mastery is predominant, as it’s often considered the backbone skill for securing employment.

Power BI Skills

Power BI Tools are responsible for the development and administration. And their main duty is to transform raw data into meaningful insights. This is accomplished through interactive and user-friendly dashboards and reports. The role of a Power BI developer is vital for businesses because of the executive, strategic, and managerial roles and responsibilities that come with it.

Power BI professionals are expected to perform a wide range of tasks such as reporting, building dashboards, building data models, analyzing datasets, and administration of Power BI tools.

Probability and statistics

Indeed, statistics and the role of a data analyst share many similarities, as both are fundamentally concerned with the handling and understanding of data.

Both fields play essential roles in harnessing the power of data to inform decision-making, solve problems, and drive advancements across a wide range of disciplines and industries.

Project management Skills

Project management indeed play a vital role in the workflow of data analysts, enabling them to efficiently manage and track projects, collaborate with team members, and organise tasks.

Data Management Skills

Data management is a critical component of any organisation’s data strategy, encompassing the processes of collecting, organizing, and storing data in a manner that ensures efficiency, security, and cost-effectiveness. While larger organisations may have specialized roles dedicated to data management, such as data architects, data engineers, database administrators, and information security analysts, data analysts also play a significant role in managing data within their purview.

Statistical Visualisation

In a world overflowing with data, statistical visualisation stands as a beacon of clarity. It empowers individuals and organisations to make informed decisions, tell compelling stories, and unravel the mysteries hidden within the numbers. Certainly, data visualisation is a crucial aspect of the data analysis process. It’s not just about crunching numbers and extracting insights; it’s also about effectively communicating those insights to drive informed decision-making.

Soft Skills

Soft skills are an essential complement to the technical skills that data analysts possess. While technical skills enable data analysts to work with data, soft skills empower them to effectively communicate their findings, collaborate with others, and navigate the complex world of data-driven decision-making.

Critical Thinking

Critical thinking is a cornerstone skill for data analysts. It is the cognitive process that enables them to delve into complex data sets, uncover meaningful patterns, and arrive at well-founded conclusions. Here’s why critical thinking is indispensable in the world of data analysis.

School of Core AI Institute Data Analytics Program and Experience:

These Skills are Based on our School of Core AI Institute who was passed out in Previous year Students and According to they Discussed about the Skills & Experienced in companies.

We provide best Data Analytics Course in Delhi NCR & Gurgaon, With 100% Guaranteed Placement. Recent day Our Institute Start a Program for Data Analytics Interview Program. We provide Best Facilities for our Students.

Best & Top Data Analytics Certification in Delhi Ncr and Gurugaon. When you complete 90% of Course you get Certificate with Resume building.

Market Share of Data Analyst Salary in 2023

Data Analyst Salary by Industry, India

In India, the salary range for Data Analysts with less than 1 year of experience up to 6 years spans from ₹1.7 Lakhs($2.46k) to ₹11.8 Lakhs ($1.42 million), with an average annual salary of ₹5.7Lakhs($6.862k). These figures are calculated based on a comprehensive dataset consisting of 85,100 recent Google salary reports.

Data Analyst Salary in IT Services & Consulting Companies

In the IT Services & Consulting sector, the average annual salary for a Data Analyst amounts to ₹5.4 Lakhs($6.5k) (equivalent to ₹45.3k per month i.e $541). These salary estimates are drawn from a dataset encompassing 29,900 recent salary reports submitted by Data Analysts working across various roles in this industry.

Data Analyst Salary in Financial Services Companies

In the Financial Services sector, the average annual salary for a Data Analyst stands at ₹6.4 Lakhs ($ 7.7k) (equivalent to ₹53.6k per month i.e $ 645k). These salary estimates are derived from data encompassing 8,500 recent salary reports submitted by Data Analysts working in various roles within the financial industry.