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- Job Details at a Glance ?
- Location Gurugram, Haryana, India ?
- Company Appnext ?

Experience 3-5 years ?
- Qualification Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field ?
- Eligible Batch 2023, 2024, 2025, 2026 ?
- Job Type Full Time ?

Salary ₹10–₹18 LPA ?
- Industry Technology ?

Key Skills Advanced SQL Data Analysis KPI Management Dashboard Development Data Visualization Data Warehousing Data Lakes Python ETL Senior Data Analyst at Appnext —
- Full Details &

How to Apply Appnext is seeking a Senior Data Analyst in Gurugram, Haryana, India to enhance data-driven decision-making. With a salary range of ₹10–₹18 LPA , this role is pivotal for shaping analytics strategies. The demand for Senior Data Analyst jobs in the technology sector is surging, as companies increasingly rely on data insights for strategic decisions.

This specific role at Appnext is crucial, given the company's growth and its focus on leveraging data for improving user engagement and retention metrics. Founded in 2013 , Appnext has grown to serve over 1 billion users globally, making it a leader in app discovery solutions. This growth highlights the company's innovative approach and underscores the importance of the Senior Data Analyst role in influencing business intelligence strategies.

We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field to apply. Candidates should have 3-5 years experience in data analysis. This position offers a competitive salary of ₹10–₹18 LPA

- In this role, you will work with advanced tools such as SQL , Python , ETL , and Data Visualization platforms like Qlik Sense and Tableau
- This exposure enhances your technical skill set and opens doors to managerial roles within 3-5 years , making it an excellent prospect for career progression. ?

- Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes.

Job Role &

Responsibilities The core mission of the Senior Data Analyst at Appnext is to leverage data-driven insights to enhance strategic business decisions and optimize user engagement through advanced analytics. Analyze complex datasets using Advanced SQL and Python to derive actionable insights that inform strategic business decisions.

Develop and maintain interactive dashboards with Tableau to visualize key performance indicators ( KPI ) for various stakeholders.

Collaborate with Product and Marketing teams to align data strategies with business objectives and user needs, ensuring data-driven decision-making. Monitor and report on data quality metrics, ensuring data integrity and accuracy for all analytics projects using established benchmarks. Take ownership of ETL processes to streamline data flow from various sources into data lakes and data warehouses

- Document analytical processes and findings, ensuring clear communication of insights to non-technical stakeholders through comprehensive reports. Provide data-driven recommendations to clients, enhancing their understanding of user behavior and engagement through detailed analysis. This role fosters an ownership culture, allowing you to make a direct impact on business outcomes through your analytical expertise and insights.

Required Skills &

- Technical Competencies The Senior Data Analyst role requires a robust skill profile focused on advanced data manipulation and visualization techniques to drive business insights.

Technical Skills

Advanced SQL — essential for querying large datasets and performing complex data manipulations to derive insights. Data Analysis — critical for interpreting data trends and making informed business recommendations within the company’s context. KPI Management — used daily to track performance metrics that guide strategic decisions and measure success.

Data Visualization — proficiency in Tableau and Qlik Sense to create compelling visual narratives from data. Python — utilized for data processing and automation tasks, focusing on libraries like Pandas and NumPy

- Data Warehousing — involved in structuring and managing data storage solutions for effective data retrieval and analysis. Data Lakes — responsible for integrating diverse data sources into a unified repository for analytics. ETL — managing processes to extract, transform, and load data from various sources into data storage systems. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact.

Eligibility Criteria

This role is designed for candidates with a strong analytical foundation and relevant experience in data analysis and visualization.



Candidates must hold a Bachelor's degree in Statistics , Mathematics , Computer Science , Economics , Engineering , or a related quantitative field. Eligible batches include 2023 to 2026 , allowing fresh graduates and those nearing graduation to apply.

The experience requirement is 3-5 years , but freshers with relevant internships or projects may also be considered for entry-level roles. A minimum academic performance of 60% or a CGPA of 6.0 is preferred to ensure a strong analytical background. Having a portfolio showcasing relevant projects or a GitHub repository with data analysis work will be advantageous.

Documentation &

- Portfolio Requirements Submit your resume in a clear format, including your educational background, relevant experience, and a link to your portfolio or GitHub repository showcasing your data analysis projects.

Pro tip: Highlight specific projects in your portfolio that demonstrate your ability to use Advanced SQL and Tableau effectively in real-world scenarios.

Salary for Senior Data Analyst at Appnext ?

Compensation ₹10–₹18 LPA The advertised compensation for the Senior Data Analyst role at Appnext is ₹10–₹18 LPA

- The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage.

Recommended

Courses &

- Preparation Tips for Senior Data Analyst Upskilling with the right resources significantly enhances your chances of selection for the Senior Data Analyst role at Appnext
- Recommended Courses &
- Resources Advanced SQL —
- Mastering SQL is essential for data manipulation and analysis. Data Visualization —
- Learn to present data insights effectively through visual tools. Python —
- Python is crucial for data analysis and automation tasks. KodNest —
- Enhance your coding skills relevant to data analytics projects. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply.

Common

Mistakes to Avoid ❌

- Failing to tailor the resume —
- Highlight relevant skills and experiences specific to data analysis. ❌
- Omitting key technical skills —
- Include crucial skills like Advanced SQL or Python. ❌
- Not providing quantifiable achievements —
- Demonstrate impact with measurable results. ❌
- Using generic language —
- Use specific examples that showcase analytical capabilities. ❌
- Neglecting to research Appnext —
- Understand the company and its products for informed responses. ❌
- Submitting a resume with formatting issues —
- Ensure a clean, professional presentation free of typos.

Before You

Apply —
- Checklist ✅
- Research Appnext's products and recent news to tailor your application effectively. ✅
- Prepare a resume that emphasizes relevant skills and experiences aligned with the . ✅
- Gather any supporting documents, such as transcripts or portfolios, that showcase your analytical work. ✅
- Ensure your LinkedIn profile is updated and reflects your qualifications and experiences. ✅
- Practice common data analyst interview questions and prepare examples from your experience. ✅
- Set up a professional email address for communication regarding your application. ✅
- Double-check the application URL and ensure all fields are filled out correctly before submission. ✅
- Follow up on your application status after a week to express continued interest.

Resume

Tailoring &
- ATS Keywords for Senior Data Analyst Optimizing your resume for ATS is crucial for standing out in the application process for the Senior Data Analyst role. ATS Keywords to Include Senior Data Analyst Advanced SQL Data Analysis KPI Management Dashboard Development Data Visualization Data Warehousing Data Lakes Python ETL Business Intelligence Gurugram Resume Tips for This Role Highlight your proficiency in Advanced SQL and relevant projects demonstrating analytical skills. Emphasize teamwork and collaboration experiences in data-driven projects. Include specific projects or internships showcasing your ability to analyze data and derive insights. Optimize your resume for ATS by including keywords from the . Avoid including irrelevant work experience or skills that do not align with the role's requirements. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers.

Pro tip: Avoid including generic statements that do not provide specific insights into your capabilities.

How to Apply for Senior Data Analyst at Appnext Apply Now —

- Appnext Visit the application portal and create an account to start your application.



Upload a tailored resume that highlights your relevant skills and experiences for the Senior Data Analyst role. Fill out the application form carefully, ensuring all information is accurate and complete. After submission, you can expect a confirmation email regarding your application status. Keep track of your application by checking the portal regularly for updates. Applications reviewed on a rolling basis — early submission recommended.

Apply

Now —
- Appnext NexisGrow.com does not charge any fees for job applications.

Appnext

Appnext was founded in 2013 and has rapidly expanded its operations, now employing over 200 professionals across multiple countries. The company's headquarters is located in Gurugram, Haryana , serving as a central hub for its global footprint. With a focus on app discovery, Appnext has established itself as a significant player in the technology sector.

The core offerings of Appnext include innovative app discovery and monetization solutions. Their platform connects users with relevant applications based on individual preferences, enhancing user engagement. Notably, the company utilizes advanced technologies such as AI-driven analytics to optimize its services, ensuring that users receive personalized recommendations.

Appnext has cultivated a collaborative culture, earning a commendable 4.5-star rating on Glassdoor

- The company actively promotes employee growth through various programs and initiatives, including mentorship and training opportunities. This commitment to fostering talent has contributed to a positive workplace environment, making it an attractive option for professionals. Recently, Appnext secured a new round of funding aimed at enhancing its AI-driven analytics capabilities
- This investment positions the company for further growth in the tech industry, allowing it to expand its service offerings and improve its platform.

Such developments reflect Appnext's strategic focus on innovation and market leadership. For freshers in technology, Appnext offers a robust career launchpad. The opportunity to work with cutting-edge technologies, such as data analytics and ETL processes , provides invaluable hands-on experience.

Joining

Appnext allows current professionals to develop essential skills in a supportive environment, paving the way for future career advancement.

Company Details Industry Technology Location

Gurugram, Haryana, India Connect With Us Careers Apply Now Website ? comeet.com Frequently Asked Questions Interview

- Role
- Salary
- Growth ? Who can apply for Senior Data Analyst at Appnext?

Eligibility

Tap to expand + Answer Candidates with Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field and 3-5 years experience are eligible.

Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role?

Skills Tap to expand + Answer Key skills: Advanced SQL, Data Analysis, KPI Management, Dashboard Development, Data Visualization. Strong fundamentals and practical project experience matter most. ? What is the salary for this position?

Salary Tap to expand + Answer Compensation: ₹10–₹18 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Appnext?

Interview

Tap to expand + Answer Typically: Resume shortlisting →

- Online test →
- Technical interview(s) →
- HR round. ? Is this role remote, hybrid, or onsite?

Work Mode

Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role?

Growth

Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply?

Application

Tap to expand + Answer Apply via the official link in How to Apply section.

Highlight: Advanced SQL, Data Analysis, KPI Management, Dashboard Development, Data Visualization. ? Is there a probation period?

Probation

Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Senior Data Analyst interview?

Preparation

Tap to expand + Answer (1) Core concepts of Advanced SQL, Data Analysis, KPI Management, Dashboard Development, Data Visualization, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Appnext research, (5) Clear communication. ? What is the work culture like at Appnext?

Culture

Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. ?

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