Are you a fresher looking to start your career in Data Analytics, Data Engineering, and Artificial Intelligence (AI)? ๐๐ค
Celebal Technologies is hiring Data Analyst freshers from the 2026 batch! This opportunity is suitable for candidates who enjoy working with data, solving analytical problems, building dashboards, and exploring modern technologies such as Python, SQL, cloud platforms, and Generative AI.
If you have a strong foundation in SQL and Python, understand data warehousing concepts, and are eager to learn emerging technologies, this opportunity could be worth exploring.
๐ข Eligible 2026 graduates, don’t miss this opportunity to begin your career in the data and AI domain!
๐ Position Details
๐ข Company: Celebal Technologies
๐ผ Position: Data Analyst โ Fresher
๐ Job ID: Not Mentioned
๐ Location: Not Mentioned
๐จโ๐ป Experience Required: Freshers
๐ Qualification: B.Tech / M.Tech / MCA
๐
Passing Year: 2026
๐ Academic Criteria: Minimum 60% throughout the academic career
๐ Eligibility: No active backlogs
๐ข Employment Type: Not Mentioned
๐ฐ Salary: Not Mentioned
๐ฉ Apply Via: harshit.soni@celebaltech.com
๐ ๏ธ Skills Required
Candidates should focus on building a strong foundation in the following areas.
โ Must-Have Technical Skills
- SQL: Joins, aggregations, window functions, and Common Table Expressions (CTEs)
- Python programming
- Data modeling and data warehousing concepts
- ETL/ELT fundamentals
- Data visualization and dashboard design
๐ Good-to-Have Skills
Business Intelligence & Reporting
- Power BI, Tableau, or Qlik
- KPIs and reporting
- Analytical storytelling
- Basic DAX and Power Query
Data Engineering
- Data pipelines and data ingestion
- PySpark and Apache Spark
- CSV, JSON, and Parquet data formats
- Lakehouse and Medallion Architecture
- Databricks and cloud platforms
Artificial Intelligence & Generative AI
- Large Language Models (LLMs)
- Embeddings and vector databases
- Retrieval-Augmented Generation (RAG)
- Prompt engineering
- Responsible AI
- AI agents, tool calling, agent memory, and human-in-the-loop concepts
Additional Skills
- Git and version control
- Analytical thinking and problem-solving
- Communication and presentation skills
- Curiosity, adaptability, and willingness to learn new technologies
Note: SQL, Python, data modeling, data warehousing, ETL/ELT, and data visualization are listed as must-have skills. The remaining technical skills are good to have.
๐ Position Overview
The Data Analyst Fresher opportunity at Celebal Technologies is aimed at candidates interested in working with data-driven technologies and developing their skills in analytics, data engineering, and AI.
Candidates should understand how to query data using SQL, manipulate data with Python, and work with foundational data processing concepts. Knowledge of data visualization can also help candidates understand datasets and communicate insights through dashboards and reports.
Beyond traditional analytics, the job description highlights modern data engineering and AI concepts. Familiarity with tools such as Power BI, Tableau, Databricks, and PySpark may be useful, while understanding Generative AI concepts can provide additional technical exposure.
Fresh graduates should focus on demonstrating their fundamentals through academic projects, personal projects, internships, or practical exercises.
๐ฏ Key Responsibilities
The original job post does not provide an official list of responsibilities. Based on the advertised skills, the following are potential responsibilities associated with a Data Analyst role, not confirmed duties for this specific opening.
- ๐น Write SQL queries to retrieve, filter, join, and analyze datasets.
- ๐น Use Python to clean, transform, and process data.
- ๐น Apply data modeling and data warehousing concepts.
- ๐น Understand ETL/ELT workflows and data integration fundamentals.
- ๐น Develop dashboards and visual reports using relevant BI tools.
- ๐น Analyze data to identify patterns, trends, and useful insights.
- ๐น Work with structured data formats such as CSV, JSON, and Parquet where applicable.
- ๐น Learn data pipeline concepts and modern data engineering tools.
- ๐น Explore AI and Generative AI concepts relevant to data-driven applications.
- ๐น Communicate analytical findings clearly through reports and presentations.
๐ข About Celebal Technologies
Celebal Technologies is a technology company associated with data, analytics, cloud, and AI-related solutions. This hiring announcement highlights Data Analytics, Data Engineering, Business Intelligence, and Generative AI as relevant areas for the advertised opportunity.
For company details, current projects, and additional career information, candidates should refer to the company’s official website and verified career channels.
๐ฑ Why This Role Is Worth Exploring for Freshers
If you are graduating in 2026 and want to enter the data technology field, this opening may be relevant to your career goals.
๐ Opportunity to pursue a career in Data Analytics
๐ Apply SQL and Python knowledge in a professional role
๐ Strengthen data modeling and data warehousing fundamentals
๐ Explore dashboarding and Business Intelligence tools
๐ Build familiarity with ETL/ELT processes
๐ Learn about data engineering technologies such as Spark and Databricks
๐ Develop an understanding of Generative AI concepts
๐ Improve analytical thinking and problem-solving skills
๐ Build communication and presentation skills
๐ Create a foundation for future opportunities in analytics, data engineering, or AI
These are potential learning and career-development benefits, not guaranteed company-provided benefits.
๐ฐ Salary Range
๐ต Salary: Not Mentioned
The provided job announcement does not specify a salary package. Candidates should confirm the compensation details during the recruitment process.
๐งช Expected Interview Rounds
The exact interview process for this opening has not been provided. Depending on the company’s recruitment process, candidates may encounter some of the following rounds:
1๏ธโฃ Resume Shortlisting: Academic eligibility, relevant skills, projects, and qualifications may be reviewed.
2๏ธโฃ SQL Assessment: Practice joins, aggregations, subqueries, window functions, and CTEs.
3๏ธโฃ Python Assessment: Revise programming fundamentals, data structures, functions, and basic data manipulation.
4๏ธโฃ Technical Interview: Prepare data modeling, data warehousing, ETL/ELT, and data visualization concepts.
5๏ธโฃ Project Discussion: Be prepared to explain your academic or personal projects, including the tools used and your contribution.
6๏ธโฃ HR Discussion: Prepare to discuss your career goals, communication skills, availability, and other relevant details.
These are general preparation suggestions, not confirmed Celebal Technologies interview rounds.
๐ Preparation Tips for Data Analyst Freshers
Here are practical areas to focus on before applying and preparing for interviews.
- Master SQL fundamentals: Practice joins, GROUP BY, HAVING, subqueries, CTEs, and window functions.
- Practice Python: Revise lists, dictionaries, loops, functions, exception handling, and file operations.
- Learn data manipulation: Practice cleaning and analyzing datasets using Python libraries such as Pandas.
- Understand ETL/ELT: Learn the difference between extracting, transforming, and loading data.
- Revise data warehousing: Understand fact tables, dimension tables, schemas, and data modeling basics.
- Build a dashboard: Create a sample Power BI or Tableau dashboard using a public dataset.
- Learn basic data visualization: Choose appropriate charts and explain the insights they communicate.
- Explore data engineering concepts: Understand data pipelines, Spark, and common data formats.
- Review AI fundamentals: Learn basic concepts such as LLMs, embeddings, RAG, and prompt engineering.
- Prepare project explanations: Clearly describe the problem, dataset, tools, approach, and results.
- Practice communication: Explain technical findings in simple language.
- Verify eligibility: Ensure you meet the 2026 passing-year, qualification, percentage, and backlog criteria before applying.
๐ Resume Tips for Data Analyst Freshers
A focused resume can help recruiters quickly identify your relevant skills.
โ
Mention your B.Tech, M.Tech, or MCA qualification and 2026 passing year.
โ
Clearly highlight your SQL and Python skills.
โ
Include data modeling, data warehousing, and ETL/ELT knowledge.
โ
Mention Power BI, Tableau, or Qlik if you have practical experience.
โ
Add academic or personal data analytics projects.
โ
Explain the dataset, tools, approach, and outcome of each project.
โ
Include relevant certifications, if available.
โ
Mention Git or version control experience where applicable.
โ
List Spark, Databricks, or AI skills only if you can explain the fundamentals.
โ
Keep the resume concise, readable, and free of grammatical errors.
โ
Save your updated resume as a PDF before emailing it.
Project idea: Build a sales analytics dashboard using SQL, Python, and Power BI. This can help demonstrate several of the must-have skills in one project.
โ Frequently Asked Questions (FAQs)
Q1. Is Celebal Technologies hiring freshers for Data Analyst roles?
The provided announcement advertises a Data Analyst opportunity for freshers.
Q2. Which graduating batch is eligible?
Candidates passing out in 2026 are specified in the announcement.
Q3. What qualifications are accepted?
B.Tech, M.Tech, and MCA are listed.
Q4. What is the minimum academic percentage?
Candidates must have at least 60% throughout their academic career, according to the provided announcement.
Q5. Are active backlogs allowed?
No. The announcement specifies that candidates must have no active backlogs.
Q6. Which skills are mandatory?
SQL, Python programming, data modeling, data warehousing, ETL/ELT fundamentals, and data visualization/dashboard design.
Q7. Are Power BI and Tableau mandatory?
They are listed under good-to-have Business Intelligence skills, rather than the must-have list.
Q8. Is knowledge of Generative AI required?
AI and Generative AI concepts are listed as good-to-have skills.
Q9. What is the salary package?
The salary is not mentioned in the supplied announcement.
Q10. Where is the job located?
The location is not mentioned in the supplied announcement.
Q11. How can candidates apply?
Email your updated resume to harshit.soni@celebaltech.com.
Q12. What is the job ID?
The job ID is not mentioned.
๐ Why Consider This Opportunity?
โจ A fresher-level opportunity in the data technology domain
โจ A chance to apply SQL and Python fundamentals
โจ Exposure to skills relevant to Data Analytics and Business Intelligence
โจ An opportunity to demonstrate analytical thinking
โจ Relevance to candidates interested in data engineering
โจ An introduction to modern AI and Generative AI concepts
โจ A chance to showcase academic and personal projects
โจ An opportunity to begin building a career in data-driven technology
The points above describe the relevance of the role based on the supplied announcement; they are not promises of specific projects, training, benefits, or career progression.
๐ฉ How to Apply
๐ง Email Your Resume: harshit.soni@celebaltech.com
๐ Suggested Email Subject: Application for Data Analyst โ Fresher | 2026 Batch
๐ Include in Your Email:
- Updated resume
- Position applying for: Data Analyst โ Fresher
- Qualification and passing year
- Current location
- Contact number
Before applying, confirm that you meet the academic eligibility criteria and review any additional instructions from the recruiter.
๐ข Know someone from the 2026 batch who is looking for a Data Analyst opportunity? Share this post with your friends, classmates, and college groups. It could help someone take the first step toward a career in data and AI!
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