Jobs

Interviews
Tools

Upskill and Grow with AI

Mock Interview Practice interviews in realistic simulations

Coding Practice Improve your coding skills with challenges

Certification Earn certifications to validate your skills

AI Learning Get trained with AI expert sessions

Career Path AI insights for smarter career decisions

AI Job Match Score AI-Powered Job Match Against Your Resume and Optimize Your Resume

Career Tools and Resources

Resume Builder Build Professional Resume with Ease

ATS Friendliness Check Check Resume Friendliness for Applicant Tracking Systems

Auto Apply Apply to hundreds of jobs on any platform effortlessly

Co-Pilot (Chrome Extension) Your AI Assistant for Seamless Browsing Efficiency

Interview Questions Streamline interviews with ready-to-use questions

Salaries Discover market-driven salary insights across skillsets and geographies

Companies Explore leading companies actively hiring talent
For Employers

Home

Jobs

Home
>
Jobs in Mumbai
>
Talentica
>
Data Analyst

Job Expired: This job listing has expired.

Data Analyst

Talentica

5 - 9 years

12 - 13 Lacs

Mumbai

Posted:3 months ago| Platform:

AI Match Score

Apply

Skills Required

Computer science Performance tuning Automation Analytical Data quality Oracle Troubleshooting Information technology Analytics Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Develop, optimize, and maintain SQL queries for Tableau data sources, ensuring efficient and accurate data delivery.

Write and optimize complex queries for Oracle and BigQuery databases to support business reporting needs.

Work with MongoDB , querying semi-structured data for analytics and reporting purposes.

Collaborate with BI developers and analysts to enhance data processing efficiency and report accuracy.

Develop, maintain and enhance existing ETL/ELT pipelines, ensuring data is ingested, transformed, and delivered efficiently.

Collaborate with cross-functional teams to identify and implement improvements in data workflows

Provide support for troubleshooting and resolving data issues as they arise.

Participate in early development efforts related to Lakehouse architecture initiatives

Assist in preparing existing data workflows for integration with modern cloud-based data platforms.

Stay informed about emerging data technologies and contribute to modernization strategies.

Perform thorough data validation and reconciliation to ensure consistency across different data sources.

Identify and resolve discrepancies by working closely with data analysts and business stakeholders.

Support data quality assurance processes, implementing best practices to improve reliability.

To be successful in this role, you should have:

Qualification: BE/BTech in Computer Science, Data Engineering, or a related field from a top institute (like IIT, NIT, BITS, etc.).

Experience: 5+ years of experience working with SQL and managing data pipelines.

Tech skills:

Advanced SQL skills for query performance tuning and optimization.

Knowledge of ETL/ELT processes and experience optimizing data transformations.

Experience working with relational ( Oracle, BigQuery ) and NoSQL ( MongoDB ) databases.

Experience with Python or scripting for automation

Familiarity with cloud platforms such as AWS, GCP, and Azure.

Bonus points for hands-on experience with BI tools like Tableau!

Soft skills:

You should also have strong analytical problem-solving abilities, excellent communication skills, and the ability to juggle multiple tasks independently in a fast-paced environment.

More Jobs at Talentica

QA Python + ETL

Bengaluru

4 - 6 yrs

INR 19 - 25 Lacs

QA Automation ( Java Selenium )

Mumbai

4 - 6 yrs

INR 20 - 27 Lacs

QA Automation ( Python )

Mumbai

4 - 6 yrs

INR 20 - 27 Lacs

QA Automation ( JS

Mumbai

4 - 6 yrs

INR 20 - 27 Lacs

Dot NET C# Developer

Mumbai

6.0 - 8.0 yrs

INR 20 - 27 Lacs

Mock Interview

Practice Video Interview with JobPe AI

Start Computer Science Interview Now

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.