📋 Job Details at a Glance 📍 Location Hyderabad, Telangana, India 🏢 Company Planful 👥 Experience 2+ years 🎓 Qualification Bachelor's degree in Computer Science, Information Technology, Data Analytics, Statistics, Business Administration, or a related field 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹8.0 – ₹14.0 LPA 🏢 Industry Technology 🛠 Key Skills SQL Power BI Tableau Looker Pendo Amplitude Mixpanel Google Analytics Product Operations Analyst at Planful — Full Details & How to Apply Planful is seeking a Product Operations Analyst in Hyderabad, Telangana, India , where you can leverage your SQL and analytics skills to optimize product strategies and user behavior insights. This role is pivotal in enhancing product operations, making it a key opportunity for those looking to establish a career in the technology sector. The demand for data-driven decision-making in technology is surging, making this role crucial for enhancing product operations at Planful . As a leader in financial planning and analytics software, Planful is at the forefront of a growing industry that increasingly relies on data insights to drive business strategies and improve user engagement. Founded in 2013 , Planful has grown to over 300 employees and specializes in financial planning and analytics software, positioning itself as a leader in the SaaS industry. The company fosters a culture of innovation and collaboration, making it an attractive employer for aspiring analysts looking to contribute to impactful projects. We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor's degree in Computer Science, Information Technology, Data Analytics, Statistics, Business Administration, or a related field to apply. Candidates should have 2+ years experience in relevant roles, with a competitive salary range of ₹8.0 – ₹14.0 LPA . In this role, you will gain exposure to advanced analytics tools like Power BI , Tableau , Looker , Pendo , Amplitude , Mixpanel , and Google Analytics . This experience will not only enhance your skill set but also open doors to senior analyst or product management roles within 2-3 years , making it a strategic career move. 📊 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 Product Operations Analyst at Planful is to leverage data analytics to enhance product performance and inform strategic decisions that drive user engagement. Analyze product performance metrics using SQL to derive actionable insights that inform product strategy and enhance user experience. Build and maintain interactive dashboards in Power BI to visualize key performance indicators for stakeholders, ensuring data accessibility. Collaborate with product management and engineering teams to align on user behavior analytics and feature enhancements, utilizing Tableau for effective communication. Monitor user engagement metrics through Google Analytics to identify trends and areas for improvement, driving data-informed decisions. Take ownership of data quality initiatives, ensuring accuracy and reliability in reporting and analytics using Amplitude . Document findings and communicate insights effectively to cross-functional teams, enhancing collaboration and decision-making. Engage with clients to troubleshoot issues and gather feedback, utilizing Pendo to enhance the overall user experience. This role fosters an ownership culture, allowing you to make a direct impact on product strategy and user satisfaction through data-driven insights. Required Skills & Technical Competencies The ideal candidate for the Product Operations Analyst role will possess a robust skill profile that includes both technical and soft skills essential for data analysis and collaboration. Technical Skills SQL — advanced — essential for querying databases and analyzing product data to derive insights. Power BI — advanced — used for creating dashboards that visualize data insights crucial for reporting to management. Tableau — intermediate — enables effective communication of complex data through visualizations. Pendo — intermediate — enhances ability to track user behavior and product performance. Amplitude — intermediate — utilized for monitoring user engagement metrics and identifying trends. Mixpanel — intermediate — aids in analyzing user interactions and product usage patterns. Google Analytics — advanced — critical for monitoring user engagement and deriving actionable insights. Soft Skills & Professional Competencies Strong communication skills are vital for articulating insights and collaborating with diverse teams effectively. Analytical thinking is essential for interpreting complex data trends and making data-informed decisions. Problem-solving abilities are necessary for troubleshooting client issues and enhancing user experience. Attention to detail ensures accuracy and reliability in reporting and analytics initiatives. Good to Have (Bonus Skills) Experience with GenAI tools for workflow automation can streamline processes and improve efficiency in operations. Knowledge of statistical analysis methods can enhance your ability to interpret data trends effectively. Familiarity with Agile methodologies can improve collaboration and project management within teams. When showcasing these skills in your resume or interview, emphasize specific examples of how you have utilized these tools and methodologies in past projects. Eligibility Criteria This role is designed for candidates with a strong analytical foundation and relevant experience in data analytics within a SaaS environment. A Bachelor's degree in Computer Science , Information Technology , Data Analytics , Statistics , or Business Administration is required. Eligible batches include 2023 , 2024 , 2025 , and 2026 , allowing fresh graduates to apply. At least 2 years of experience in a SaaS-based product or business analyst role, focusing on data analytics. A minimum academic performance of 60% or equivalent CGPA is preferred to ensure a strong academic background. Having a portfolio or GitHub showcasing relevant projects or internships can provide a competitive edge in the application process. Documentation & Portfolio Requirements Submit your resume in PDF format, including a summary of relevant projects, internships, and specific tools used in your previous roles. Pro tip: Highlight specific metrics or outcomes achieved through your analytical work to demonstrate your impact in previous roles. Salary for Product Operations Analyst at Planful 💰 Compensation ₹8.0 – ₹14.0 LPA The advertised compensation for the Product Operations Analyst role at Planful is ₹8.0 – ₹14.0 LPA . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Selection Process at Planful The selection process for the Product Operations Analyst role is designed to assess both technical skills and cultural fit, ensuring candidates align with the company's values and operational needs. 1 Online Assessment — 60 minutes, focusing on SQL and data analytics proficiency. 2 Technical Interview — in-depth discussion on SQL , data visualization, and product analytics applications. 3 Behavioral Interview — assessing cultural fit and problem-solving skills through situational questions. 4 HR Interview — discussing salary expectations and company culture, with an offer timeline of 1-2 weeks . Topic-wise Preparation Guide Round 1: Online Assessment SQL queries — essential for data manipulation and analysis — W3Schools Data visualization principles — understanding how to present data effectively — GeeksForGeeks Basic statistics — foundational knowledge for interpreting data trends — Khan Academy Business analysis concepts — key frameworks and methodologies used in product operations — Coursera Round 2: Technical Interview Advanced SQL techniques — focusing on joins, subqueries, and performance optimization — LeetCode Power BI dashboard creation — practical skills for visualizing data insights — Udemy Product analytics tools — in-depth knowledge of Pendo , Amplitude , and Mixpanel — YouTube Data interpretation — analyzing metrics to derive actionable insights — HackerRank Collaboration techniques — effective communication strategies for cross-functional teams — MindTools Round 3: Behavioral Interview Behavioral questions using the STAR method — focusing on teamwork and problem-solving. Conflict resolution scenarios — demonstrating your approach to handling challenges. Technical deep-dive on SQL and data visualization — showcasing your expertise in these areas. Timeline & Expectations The entire selection process typically spans 2-4 weeks from application to offer. Prepare thoroughly for each round, focusing on both technical skills and cultural fit to align with Planful 's values. Expected Interview Questions for Product Operations Analyst at Planful The following questions are tailored to assess your expertise in the role's specific tech stack and operational requirements. Technical Questions How do you optimize SQL queries for performance? Explain how you would create a dashboard in Power BI to track user engagement. What metrics would you consider essential for analyzing product performance? Describe your experience with Amplitude and how you used it in previous projects. How do you ensure data accuracy in your reports? Can you explain a complex data analysis project you worked on? Behavioral Questions Describe a time when you had to work with a difficult team member. How do you prioritize tasks when managing multiple projects? Give an example of a time you used data to influence a decision. How do you handle tight deadlines in your work? Role-Specific Questions What strategies would you use to improve user engagement metrics? How do you approach cross-functional collaboration in product operations? What do you believe is the most important aspect of product analytics? Structure your answers using the STAR method to clearly articulate your experiences and problem-solving skills. Resume Tailoring & ATS Keywords for Product Operations Analyst Optimizing your resume for ATS is crucial to ensure it passes initial screenings and highlights your relevant skills. ATS Keywords to Include Product Operations Analyst SQL Power BI Tableau Data Analytics User Behavior SaaS Business Analyst Amplitude Mixpanel Google Analytics Dashboard Creation Resume Tips for This Role Highlight your technical skills in SQL and data visualization prominently. Emphasize any relevant internships or projects that demonstrate your analytical capabilities. Include a link to your portfolio or GitHub showcasing your work with data analytics tools. Optimize your resume for ATS by using keywords from the job description. Avoid including unrelated work experience that does not pertain to the role. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Do not include generic skills or experiences that do not directly relate to the Product Operations Analyst role. About Planful Founded in 2013 , Planful is headquartered in San Mateo, California , and has established a significant presence in Hyderabad, Telangana, India . With a workforce that continues to grow, the company focuses on delivering innovative financial planning solutions to clients across various industries, enhancing its global footprint. Planful specializes in a cloud-based financial planning and analytics platform that streamlines budgeting and forecasting processes. Its flagship products include Planful Financial Planning and Planful Analytics , which empower organizations to make data-driven decisions and improve financial performance. The company culture at Planful is recognized for its supportive work environment, earning a commendable 4.5-star rating on Glassdoor . Employee development programs and mentorship initiatives are integral to its ethos, fostering a culture of continuous learning and collaboration among team members. Recently, Planful secured $75 million in funding to enhance its product offerings and expand its market reach. This financial backing signifies the company's strong growth potential and commitment to innovation in the financial technology sector. For freshers in technology, Planful serves as a robust career launchpad. The opportunity to work with cutting-edge technologies and gain hands-on experience in financial analytics positions employees for significant professional growth and advancement within the industry. Why Join Planful as Product Operations Analyst? Joining Planful as a Product Operations Analyst offers a unique chance to develop critical skills in financial technology while working with advanced tools and a supportive team. Hands-on Experience — Gain practical experience with SQL and data visualization tools like Tableau , essential for effective data analysis in the tech industry. Exposure to Analytics Tools — Work with product analytics tools such as Amplitude and Mixpanel , enhancing your analytical capabilities and marketability in the job market. Career Growth Opportunities — Potential transitions to roles like Product Manager or Senior Data Analyst within 1-2 years, paving the way for career advancement. Collaborative Work Culture — Engage in a culture that emphasizes knowledge sharing and mentorship, fostering professional relationships and personal development. Vibrant Lifestyle — Located in Hyderabad , enjoy access to tech hubs and a hybrid work model that offers flexibility and work-life balance. According to NexisGrow.com, the role of Product Operations Analyst at Planful provides a solid foundation for a successful career in technology, combining hands-on experience with opportunities for growth and development. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Product Operations Analyst at Planful? Eligibility Tap to expand + Answer Candidates with Bachelor's degree in Computer Science, Information Technology, Data Analytics, Statistics, Business Administration, or a related field and 2+ 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: SQL, Power BI, Tableau, Looker, Pendo. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹8.0 – ₹14.0 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Planful? 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, Tableau, Looker, Pendo. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Product Operations Analyst interview? Preparation Tap to expand + Answer (1) Core concepts of SQL, Power BI, Tableau, Looker, Pendo, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Planful research, (5) Clear communication. ? What is the work culture like at Planful? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. 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