Pocket FM is advertising a six-month Data Analytics internship on Internshala with work-from-home availability and a monthly stipend of ₹20,000–22,000. The application deadline shown on the listing is 26 September 2026. This is a useful opportunity for applicants interested in the connection between analytics, audience growth and an audio entertainment business, but it is not advertised as a completely beginner-level placement: the employer asks for six months of experience in Data Analytics, Business Analytics or Performance Analytics.
The role combines spreadsheet reporting, dashboard development and interpretation of marketing performance. Excel, Google Sheets and Looker Studio feature prominently in the responsibilities, while SQL appears in the required-skills section. Candidates should assess their ability to maintain accurate recurring reports and explain what the numbers mean, rather than treating the opening as a general software development internship.
Pocket FM internship: key details
- Role: Data Analytics intern.
- Employer: Pocket FM.
- Work arrangement: Work from home.
- Duration: Six months.
- Advertised stipend: ₹20,000–22,000 per month.
- Openings: One.
- Working week: Five days, as listed under perks.
- Application deadline: 26 September 2026.
- Starting availability: The listing specifies 27 August to 1 October 2026 and displays an immediate-start label.
- Additional perk: Certificate.
- Source: Employer advertisement on Internshala, checked on 24 September 2026.
What the analytics work involves
The intern will help build and improve trackers and dashboards that make performance understandable to business teams. The employer names views, revenue, installs, advertising spend and attribution indicators among the metrics to be monitored. The dashboards should be visually useful, but presentation alone is not the objective: accurate definitions, consistent reporting and a clear view of changes are central to the work described.
A second responsibility is to compare performance across platforms, campaigns and individual shows. This means examining where results differ and identifying patterns that may deserve further investigation. The listing expects the intern to help find performance gaps and potential improvements. It does not describe a machine-learning research placement or promise responsibility for training production AI models, so applicants should tailor their expectations toward business and performance analytics.
Funnel analysis is another important part of the role. The advertisement refers to views, clicks, installs, re-installs and marketing attribution. In practical terms, a funnel helps a team understand how activity progresses between stages and where conversions weaken. The employer also mentions CTR, CVR and CPI. Candidates should be comfortable discussing how marketing metrics are defined and why comparisons can be misleading when the underlying periods, audiences or denominators differ.
The intern will work with growth, content and monetization teams, supporting business reviews and ad hoc requests. Reporting structures are expected to become more centralized, automated and scalable. This adds an operational dimension: a useful report needs to be repeatable, easy for others to interpret and reliable when stakeholders request an update at short notice.
Eligibility and experience requirements
The most important eligibility point is the stated requirement for six months of relevant analytics experience. The source names Data Analytics, Business Analytics and Performance Analytics. It does not explain whether every type of academic project or informal experience will count, so applicants should describe their background honestly instead of assuming that completing a short course automatically satisfies this requirement.
Strong proficiency in Excel or Google Sheets and hands-on Looker Studio experience are specifically requested. The source also expects knowledge of data tracking, funnel conversions and marketing metrics, along with analytical thinking and clear communication. Managing requests from more than one stakeholder is mentioned. These requirements suggest that the employer values both technical execution and the ability to turn findings into understandable recommendations.
Applicants must be available for the remote arrangement and the complete six-month duration, with a starting date that fits the advertised window. The listing does not state a particular degree, graduation batch, minimum academic percentage or age ceiling. That absence should not be turned into a guarantee that every background will qualify; the employer still assesses relevant skills, availability and experience.
Stipend, working pattern and practical considerations
The advertised payment is ₹20,000–22,000 per month. No separate incentive component is described in the stipend section reviewed for this opening. The figure is the listing's advertised range, not a guaranteed offer to every applicant or a statement about the amount credited after any applicable deductions. Successful candidates should confirm the agreed amount and payment terms in their written offer.
The five-day working week is a listed perk, but exact daily hours, mandatory overlap times, equipment provision and internet reimbursement are not specified. Work from home should therefore not be interpreted as permission to work at any hour. Before accepting, candidates can ask how team availability, reviews and urgent requests are handled, particularly if they will also be managing classes or examinations.
A certificate is mentioned; a guaranteed permanent job, pre-placement offer or conversion salary is not. The page also does not publish a detailed interview sequence or a separate recruitment fee. Applicants should use the advertised application route and verify any later instructions against the employer's communication rather than paying an intermediary for a promised selection.
How to apply
- Open the exact Pocket FM Data Analytics listing linked below and recheck that applications are still being accepted.
- Read the experience and availability requirements before proceeding. Pay particular attention to the six-month commitment and the start window ending on 1 October.
- Prepare an accurate resume that identifies your analytics experience, reporting tools and relevant responsibilities. Use the actual dates and nature of your work.
- Select the listing's Apply now option. Internshala may require you to sign in or complete your candidate profile before continuing.
- Answer any application questions shown by the platform, review the information and submit before the displayed deadline.
- Retain your application confirmation and monitor the contact channels associated with your profile for further instructions.
View the Pocket FM internship and apply on Internshala.
The page gives a calendar deadline but does not display a precise closing time in the details reviewed. Do not assume an application submitted late at night will be accepted. Applying earlier also leaves time to resolve profile or document problems without relying on a last-minute submission.
Preparing a relevant application
The following preparation suggestions are editorial advice, not extra conditions imposed by Pocket FM. A concise example of a dashboard you built can help demonstrate the skills named in the advertisement. Explain the business question, the data checks you performed and the insight you communicated. Use public, synthetic or properly anonymized information; never share a previous employer's confidential reports or customer-level records to prove your experience.
It can also help to prepare one example of a reporting problem you resolved. For instance, explain how you reconciled inconsistent dates, avoided double-counting or documented a metric so that different teams used the same definition. Keep the explanation connected to your actual work. A clear account of a modest, real project is more credible than claiming responsibility for tools or results you cannot explain.
Finally, prepare questions about the reporting stack, access to data, review process and expected availability. These are useful discussion points because the advertisement describes the work but does not provide every operational detail. Check the live listing again before submitting: this Jobsii guide summarizes the employer's Internshala advertisement and does not replace its current terms or the eventual offer.
