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Analytics Engineer — Marslytics, vapi (Hiring Now)
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
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Unlock Your Analytics Engineer Potential: Insight & Career Growth Guide
Real-time Analytics Engineer Jobs Trends in vapi, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Analytics Engineer in vapi, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 72084 jobs in India and 361 jobs in vapi. This comprehensive analysis highlights market share and opportunities for professionals in Analytics Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Marslytics 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: Analytics Engineer Jobs vapi.
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:The average salary range for a Analytics Engineer Jobs India 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.
Key qualifications for Analytics Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Analytics Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring 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.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview: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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