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Data Analytics 2026

Is Data Analytics Still a Good Career in the GenAI Era? | Pune Job Market

Yes, it is, despite the growing influence of GenAI in data analytics. But contrary to what most think, GenAI doesn’t threaten a data analyst’s career. The real threat or gap is not knowing how to use it. 

That’s because GenAI is changing how data analytics is performed. It can generate SQL queries, summarize datasets, create charts, and explain trends in natural language. So, while doing all of this, it is creating demand for professionals who can combine data skills with AI capabilities.

As for Pune, this change is pretty evident from the shift in hiring trends that have lately happened across the city’s various employers.

Companies don’t look for data analysts with conventional skill sets anymore. They need those who can work with AI and deliver value. 

So, if you are planning to join the data analytics domain and looking for a data analyst course in Pune, here’s a blog that explores the relationship between data analytics and GenAI in Pune’s job market.

How Generative AI is Transforming Data Analytics Roles

Traditional analysts spend hours or days preparing data, writing queries, building dashboards, and generating recurring reports. But GenAI expedites these activities, freeing data analysts and saving time.

For example, Microsoft’s Copilot in Power BI can assist with data analysis and DAX generation, whereas Google’s Looker offers conversational analytics to ask questions about data in natural language.

Thus, an analyst can ask about the increase in customer churn in Q2 2025. So, instead of manually exploring dashboards, AI analytics systems identify patterns and generate an initial analysis.

Now, you may question an analyst’s relevance here. The answer is that validating AI-based output is necessary. As AI becomes more prevalent, analysts will no longer spend time performing the sticky part. They will formulate questions, validate data, interpret business, generate insights, and support decision-making.

Is Generative AI Replacing Traditional Data Analytics Jobs?

No. GenAI automates several tasks mentioned above. But companies will still need certified data analysts who’ve attended data analytics classes in Pune to understand data quality, business context, statistical reasoning, KPIs, and the limitations of AI-generated analysis. So, while AI and big data skills grow rapidly, inherent human capabilities such as analytical thinking, creative thinking, and decision-making will continue to stay relevant.

Data Analytics Skills to Pair with Generative AI in 2026

While undergoing data analyst training in Pune, pair data analytics skills with GenAI to make learning more relevant and practically useful. These skills include but aren’t limited to:

  • SQL and relational databases
  • Excel and advanced data manipulation
  • Power BI or Tableau
  • Statistics and exploratory data analysis
  • Data cleaning and preparation
  • KPI and business-metric interpretation
  • Data storytelling and visualization
  • Basic Python for analytics
  • Prompt engineering for analytical tasks
  • GenAI-assisted SQL and code generation
  • AI-powered dashboard analysis
  • Data validation and responsible AI practices

Pursuing a data analytics and Generative AI course in Pune can help you develop the skills companies in Pune and elsewhere look for. 

What are the Best Generative AI Tools for Data Analysts?

It depends on the analytics workflow you are dealing with. For instance, Microsoft Power BI Copilot can support analytical tasks and DAX generation. On the other hand, Gemini-powered Looker Conversational Analytics enables users to query data in natural language and generate charts or tables based on questions. Thus, while knowing a tool, you must know when to use AI, what to ask, and how to validate or verify the answer.

How AI-Powered Dashboards are Changing Data Analytics

Dashboards are changing. They are becoming more interactive. So, instead of simply viewing predefined KPIs, you can ask questions in natural language and investigate the underlying information.

Now, how does this impact an analyst’s role? Instead of spending the entire day producing routine reports, analysts can spend time determining which KPIs matter, the reasons for a metric change, finding out if the AI-generated insight is statistically meaningful, understanding the business action to follow, and figuring out if the available data adequately supports the conclusion.

How to Combine Data Analytics and Generative AI Skills?

Data analytics plus AI course roadmap for beginners in Pune can look like:

  • Step 1: Learn Excel, SQL, and database basics.
  • Step 2: Master statistics, data cleaning, and exploratory analysis.
  • Step 3: Learn Power BI or Tableau and create portfolio dashboards.
  • Step 4: Add Python for data analysis.
  • Step 5: Learn GenAI basics, prompting, and AI-assisted analytics.
  • Step 6: Practice using AI for SQL, DAX, documentation, data interpretation, and dashboard exploration.
  • Step 7: Complete projects where you compare AI-generated insights with your own analysis.

What Skills do Employers Want: Data Analytics or AI, or Both?

Both. A company might not want an analyst who knows every AI framework. What matters more is the ability to take on a business problem, access the right data, analyze it, use AI smartly, validate the output, and provide a recommendation. Therefore, while choosing data analytics courses in Pune, check whether the course covers AI-based subjects, including GenAI.

What is the Future Scope of Data Analytics with Generative AI?

Companies are hiring analysts who can work with different forms of AI. AI reduces repetitive work. Data analysts provide context, judgment, and accountability. So, the future belongs to those who can combine both and deliver the speed and value companies demand. For Pune-based learners and professionals, this means targeting roles such as AI-Enabled Data Analyst, Business Analyst, BI Analyst, Analytics Consultant and, with additional technical development, AI/ML-oriented analytics roles.

Final Thoughts

In today’s AI-dominated business environment, data analytics can stay relevant when analysts combine AI and human capabilities to work faster, present the right picture, provide accurate recommendations, and support the right decision-making.

However, this is possible only when you enroll in AI-inclusive data analysis courses in Pune and Generative AI classes in Pune. So, if you want to do what’s right and relevant, join Ethans Tech. 

At Ethans, you don’t just enroll in a course, learn concepts, get a signed certificate, and leave. Instead, it is a place where you shape your career with a structured roadmap, practical exposure, capstone projects, and 100% placement assistance.

Whether a finance enterprise in Magarpatta or an IT giant in Hinjawadi, companies everywhere are looking for AI-driven data analysts. So, join Ethans Tech to become the data analyst companies are searching for. Call us at +91 95133 92223 to explore more about our courses, batches, and fees.

Frequently Asked Questions

Is generative AI knowledge required for analytics interviews in 2026?

It may not be required for every role, but familiarity with AI-assisted analytics can help you stand out. Core SQL, problem-solving, statistics, and BI will continue to remain relevant. 

Can a data analyst learn generative AI without coding experience?

Yes. Basic GenAI usage does not require advanced programming. But SQL, Python, and analytics fundamentals simplify using AI and verifying its output.

Which Generative AI certification suits data analytics professionals?

A universally applicable certification does not exist. Hence, choose a certification based on the analytics platform and AI ecosystem you intend to use. More importantly, combine certification with demonstrable projects so that employers can quickly assess your value as a candidate.

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