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Data Insights Analyst Job Opening In India, India – Now Hiring Classplus


Job description

About us:
We are a revolutionary B2B Ed-Tech startup based out of Noida, India.

We help educators and content creators embark on their digital teaching journeys by providing them with a platform that empowers them to seamlessly transition online, offering live classes, storage solutions, transaction features, content monetization, and much more – all in one super app.
We recognized the potential of educators and content creators, not just across India's tier 1 and tier 2 cities, but beyond, and became their secret “weapon of mass instruction”.

What sets us apart?

We thrived in the post-pandemic era.

Today, we support a whopping

1 lakh+ educators and content creators

from over

3,000 towns and cities

.

We have educators from test prep categories to new-age content creators teaching

personal finance, cooking, digital marketing, organic farming, and many more,

breaking barriers and reaching students globally using their own branded apps.

Their growth has been meteoric, with some of them seeing revenue growth of more than

10X

of what they did pre-Classplus.
We’re

Series-D

funded and have marquee investors including Alpha Wave, Tiger Global, Sequoia Capital's Surge, Times Internet, Blume Ventures, and GSV Ventures put their faith in us.
Do you want to work with people who are creative, fun, and dynamic?

Do you have what it takes to help us take this rocketship even higher?

Find out below!

Role Overview

As a

Product Analyst

at Classplus, you will play a pivotal role in transforming data into actionable insights.

You will work closely with cross-functional teams to understand their data needs, create comprehensive dashboards and reports, and automate processes to enhance efficiency.

Your expertise in SQL, MongoDB, and Python will be crucial in driving data-driven decision-making across the organization.

What will you do?

Dashboard and Report Creation:
Design

and develop insightful dashboards and reports using SQL and MongoDB.
Monitor

and maintain data quality to ensure accurate reporting.
Translate

complex data sets into clear and actionable insights for stakeholders.

Inter-team Collaboration:
Collaborate

with various teams (Product, Marketing, Sales, etc.) to gather and understand data requirements.
Provide

data support for strategic planning, product development, and other key initiatives.
Conduct

regular meetings to discuss data findings and recommend actionable steps.

Automation Setup:
Develop

and implement automation scripts using Python to streamline data collection, processing, and reporting.
Maintain

and improve existing data pipelines and automation processes.
Ensure

scalability and reliability of automation solutions to support the growing data needs of the organization.

You should apply, if you

Are a Seasoned Veteran:

Bachelor’s degree in Computer Science, Statistics, Economics, or a related field and proven experience (2+ years) as a Product Analyst, Business Analyst, or similar role.
Know your toys:

Proficiency in SQL and experience with MongoDB as well as strong programming skills in Python.
Bring that ‘X-tra’ factor:

Excellent analytical and problem-solving skills.
Are a real charmer:

Strong communication skills with the ability to present complex data insights to non-technical stakeholders.
Can fluidly adjust anywhere:

Ability to work independently and as part of a team in a fast-paced environment.

Hands-on experience with data visualization tools (e.G., Tableau, Power BI) is a plus.

Being a Part of the Clan!

At Classplus, you’re not an “employee” but a part of our “Clan”.

So, you can forget about being bound by the clock as long as you’re crushing it workwise.

Add to that some passionate people working with and around you, and what you get is

the perfect work vibe you’ve been looking for!
It doesn’t matter how long your journey has been or your position in the hierarchy

(we don’t do Sirs and Ma’ams)

;
you’ll be heard, appreciated, and rewarded.

One can say, we have a special place in our hearts for the

Doers

! ❤
Are you a go-getter with the chops to nail what you do?

Then this is the place for you.

Required Skill Profession

Mathematical Science Occupations


  • Job Details

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Are You Looking for Data Insights Analyst Job?

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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 Classplus 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 Data Insights Analyst Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in India. 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 Data Insights Analyst?

Key qualifications for Data Insights Analyst typically include Mathematical Science Occupations 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.

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To improve your chances of getting hired for Data Insights Analyst, 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 Data Insights Analyst Job Success

Classplus interview tips for Data Insights Analyst

Here are some tips to help you prepare for and ace your Data Insights Analyst job interview:

Before the Interview:

Research: Learn about the Classplus'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 Data Insights Analyst interview at Classplus, 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 Classplus'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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