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Analytics Engineer — Marslytics, vapi (Hiring Now)


Job description

We are seeking a skilled Analytics and Solutions Engineer to join our team.

This role will play a crucial part in helping organizations transform data into actionable business insights while also building lightweight internal applications that improve business processes and decision-making.

The ideal candidate is analytical, curious, and excited about solving business problems through data visualization, automation, and modern application development tools.


What you'll be doing:

• Design, develop, and maintain interactive dashboards, reports and KPIs using modern BI tools

• Build and optimize semantic data models for scalable reporting and analytics

• Write efficient SQL queries to extract, transform, and analyze large datasets

• Develop lightweight internal business applications using modern low-code and AI-assisted

development tools

• Work closely with business stakeholders to understand reporting needs and recommend

analytical solutions

• Perform data validation, troubleshooting, and ensure data accuracy across reports and

applications


Basic Qualifications:

• 3+ years of experience in Business Intelligence, Analytics Engineering, Data Analytics etc.

• B.Tech in Computer Science, Information Technology, Electronics, Data Science, or related

engineering discipline from a Tier-1 institute (IITs, NITs, BITS Pilani, IIITs, etc.)

• Strong proficiency in SQL, query optimization, and relational databases

• Hands-on experience with one or more BI platforms such as Power BI, Tableau, Looker, Sigma

Computing, or similar

• Experience with Python for data analysis, scripting, and automation

• Basic understanding of web application development concepts including front-end, back-end,

databases, authentication, and deployment

• Strong analytical thinking and problem-solving abilities

• Excellent communication and stakeholder management skills

• Ability to work independently in a fast-paced, client-facing environment

• Passion for learning emerging AI technologies and applying them to solve business problems

Preferred Qualifications:

• Experience building internal business tools, workflow automation platforms, or data-driven

applications using modern development frameworks, low-code platforms, or AI-assisted coding

tools

• Experience with version control (Git) and collaborative software development practices

• Familiarity with modern application frameworks such as React, Next.js, Streamlit, FastAPI, Flask,

or similar technologies

Required Skill Profession

Other General


  • Job Details

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Unlock Your Analytics Engineer Potential: Insight & Career Growth Guide


Real-time Analytics Engineer Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Analytics Engineer in vapi, India, highlighting market share and opportunities for professionals in Analytics Engineer roles.

54532 Jobs in India
54532
270 Jobs in Vapi
270
Download Analytics Engineer Jobs Trends in Vapi and India

Are You Looking for Analytics Engineer Job?

Great news! is currently hiring and seeking a Analytics Engineer to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Marslytics adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Analytics Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in vapi. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Analytics Engineer?

Key qualifications for Analytics Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Analytics Engineer?

To improve your chances of getting hired for Analytics Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Analytics Engineer Job Success

Marslytics interview tips for Analytics Engineer

Here are some tips to help you prepare for and ace your Analytics Engineer job interview:

Before the Interview:

Research: Learn about the Marslytics's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Analytics Engineer interview at Marslytics, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Marslytics's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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