📋 Job Details at a Glance 📍 Location Hyderabad, India 🏢 Company DAZN 👥 Experience 0-2 years 🎓 Qualification Any Graduate 📅 Eligible Batch 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary ₹8–₹15 LPA 🏢 Industry Technology 🛠 Key Skills SQL Power BI Desktop Google Analytics Python DAX Snowflake dbt Airflow Analytics Engineer at DAZN — Full Details & How to Apply DAZN is seeking an Analytics Engineer in Hyderabad, India , to leverage data insights for enhancing user experience. With a salary range of ₹8–₹15 LPA , this role is ideal for fresh graduates eager to kickstart their careers in technology. The demand for Analytics Engineer jobs is surging as companies increasingly rely on data-driven decisions. In the technology sector, the ability to analyze and interpret data is crucial for driving business strategies, making this role at DAZN particularly significant as the company continues to expand its global footprint. DAZN , founded in 2016 , has rapidly grown to serve millions of sports fans globally, emphasizing its commitment to innovation in the streaming industry. This growth not only highlights DAZN's market position but also reflects its dedication to fostering a culture of data-driven decision-making, making it an ideal employer for aspiring analytics professionals. We encourage 2022, 2023, 2024, 2025 graduates with a background as Any Graduate and 0-2 years experience to apply. This role offers a competitive salary of ₹8–₹15 LPA , making it an attractive entry point into the tech industry. As an Analytics Engineer , you will gain hands-on experience with cutting-edge tools like SQL , Power BI Desktop , Google Analytics , Python , DAX , Snowflake , dbt , and Airflow . This exposure not only enhances your technical skills but also opens doors to advanced career opportunities in data analytics and business intelligence. 📊 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 Analytics Engineer at DAZN plays a crucial role in transforming data into actionable insights, directly influencing strategic decisions through data analysis and visualization. Analyze large datasets using SQL to identify patterns and generate business insights that drive strategic initiatives. Develop and maintain efficient SQL queries and data pipelines, ensuring seamless data flow for comprehensive reporting. Collaborate with product and marketing teams to conduct funnel analysis, enhancing user engagement metrics through data-driven strategies. Build and enhance interactive dashboards using Power BI Desktop , providing stakeholders with real-time insights into key performance indicators. Validate data accuracy and integrity across systems, ensuring reliable reporting and informed decision-making. Document dashboards, data sources, and analytical processes to maintain transparency and facilitate knowledge sharing among teams. Support ad-hoc data requests from stakeholders, delivering actionable recommendations based on thorough data analysis. This role fosters an ownership culture, allowing you to make a direct impact on the organization through your analytical contributions. Required Skills & Technical Competencies The ideal candidate for the Analytics Engineer position should possess a robust skill set in data analysis and visualization tools. Technical Skills SQL — intermediate — essential for querying databases and performing data analysis to derive insights. Power BI Desktop — intermediate — used for creating interactive dashboards that visualize data insights for stakeholders. Google Analytics — entry — applied to track user behavior and engagement metrics, crucial for business reporting. Python — entry — utilized for data manipulation and analysis, enhancing the efficiency of data processing tasks. DAX — entry — important for creating custom calculations in Power BI , enabling deeper insights into data trends. Snowflake — entry — leveraged for data storage and management, ensuring efficient data retrieval for analysis. dbt — entry — used for transforming data within the warehouse, ensuring data quality and consistency. Airflow — entry — applied for orchestrating complex data workflows, ensuring timely data processing. 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 recent graduates eager to start their careers in analytics, regardless of their academic background. Any graduate is eligible, allowing diverse academic backgrounds to apply. Batches from 2022 to 2025 are encouraged to apply, providing fresh graduates with a direct entry into the tech industry. No prior experience is required, making this role accessible for freshers eager to start their careers. A minimum academic performance of 60% is preferred, ensuring candidates have a solid foundational knowledge. Having a portfolio or GitHub showcasing relevant projects can provide a competitive advantage in the selection process. Documentation & Portfolio Requirements Submit your resume in a clear format, including your educational background, relevant skills, and any projects or experiences that highlight your analytical capabilities. Pro tip: Highlight any specific projects or analyses you've completed using SQL or Power BI in your application to stand out. Salary for Analytics Engineer at DAZN 💰 Compensation ₹8–₹15 LPA The advertised compensation for the Analytics Engineer role at DAZN is ₹8–₹15 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 Analytics Engineer Upskilling with the right resources significantly enhances your chances of selection for the Analytics Engineer role, equipping you with essential skills and knowledge. Recommended Courses & Resources SQL — Mastering SQL is crucial for data manipulation and analysis in this role. Power BI Desktop — Essential for creating impactful data visualizations and dashboards. Google Analytics — Important for understanding web data and user behavior analysis. Python — A versatile tool for data analysis and automation tasks. KodNest — Provides practical coding experience relevant to analytics projects. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor your resume — Highlight relevant skills for the Analytics Engineer role. ❌ Neglecting practical experience — Showcase your experience with SQL and Power BI. ❌ Overloading with jargon — Use clear language to demonstrate practical application. ❌ Submitting a generic cover letter — Tailor your cover letter to stand out. ❌ Ignoring data accuracy — Ensure all application materials are accurate and error-free. ❌ Not preparing for technical questions — Practice common interview questions related to data analysis tools. Before You Apply — Checklist ✅ Research DAZN 's recent projects and initiatives to tailor your application effectively. ✅ Update your resume to reflect relevant skills and experiences aligned with the job description. ✅ Prepare a cover letter that specifically addresses why you are a good fit for the Analytics Engineer role. ✅ Gather any supporting documents, such as transcripts or project portfolios, to enhance your application. ✅ Ensure your LinkedIn profile is up-to-date and reflects your skills and experiences. ✅ Practice common interview questions related to data analysis and the tools mentioned in the job description. ✅ Follow up on your application status after submission to express continued interest. ✅ Network with current or former DAZN employees to gain insights into the company culture and expectations. Resume Tailoring & ATS Keywords for Analytics Engineer Optimizing your resume for ATS is crucial for ensuring your application gets noticed for the Analytics Engineer role. ATS Keywords to Include Analytics Engineer SQL Power BI Google Analytics Python DAX Snowflake dbt Airflow data analysis dashboard development data validation Resume Tips for This Role Highlight your experience with SQL and data analysis projects to align with the role's core responsibilities. Emphasize teamwork and collaboration experiences, particularly in tech or analytics environments. Include any relevant projects or internships in your portfolio that demonstrate your analytical skills. Optimize your resume for ATS by incorporating keywords from the job description, such as 'data pipelines' and 'business intelligence'. Avoid including unrelated work experiences that do not showcase your analytical capabilities. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including generic skills that do not directly relate to the Analytics Engineer role. How to Apply for Analytics Engineer at DAZN Apply Now — DAZN Visit the DAZN careers page and locate the Analytics Engineer job posting. Prepare your resume, ensuring it highlights relevant skills and experiences for the role. Fill out the application form accurately, providing all requested information. After submission, expect a confirmation email and keep an eye on your inbox for updates. You can track your application status through the DAZN careers portal. Applications reviewed on a rolling basis — early submission recommended. Apply Now — DAZN NexisGrow.com does not charge any fees for job applications. DAZN DAZN was founded in 2016 and has rapidly expanded its operations to cover over 200 countries . With its headquarters in London, UK , the company has established itself as a leading sports streaming service globally. By leveraging advanced technology, DAZN has transformed how sports fans access live and on-demand content. The core offerings of DAZN include its innovative sports streaming platform, which features live and on-demand content across various sports such as boxing and soccer . The platform utilizes cutting-edge technology to deliver high-quality streaming experiences, ensuring that fans can enjoy their favorite sports anytime, anywhere. DAZN has received positive feedback on platforms like Glassdoor, boasting a 4.0 rating that highlights its inclusive culture and commitment to employee development. The company actively promotes professional growth through various training programs and initiatives, fostering a supportive environment for all employees. Recently, DAZN secured significant funding to enhance its technology infrastructure, indicating strong growth and a focus on improving user experience. This investment will allow the company to expand its offerings and further innovate its streaming services, solidifying its position in the competitive sports streaming market. For freshers in technology, DAZN presents a unique career launchpad. The company’s emphasis on innovation and technology provides an ideal environment for developing skills in analytics and engineering. With opportunities to work on advanced projects and collaborate with industry experts, new employees can gain invaluable experience that is highly sought after in the tech landscape. Company Details Industry Technology Location Hyderabad, India Connect With Us Careers Apply Now Website 🔗 careers.dazn.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Analytics Engineer at DAZN? Eligibility Tap to expand + Answer Candidates with Any Graduate and 0-2 years experience are eligible. Eligible batches: 2022, 2023, 2024, 2025. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: SQL, Power BI Desktop, Google Analytics, Python, DAX. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹8–₹15 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at DAZN? 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: SQL, Power BI Desktop, Google Analytics, Python, DAX. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Analytics Engineer interview? Preparation Tap to expand + Answer (1) Core concepts of SQL, Power BI Desktop, Google Analytics, Python, DAX, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) DAZN research, (5) Clear communication. ? What is the work culture like at DAZN? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Hyderabad Browse all Tech jobs More jobs at DAZN Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com