This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Accelerator Program - Data Analyst based in India.
This early-career opportunity offers hands-on experience analyzing data within a rapidly evolving digital and technology environment.
You will monitor key business metrics, maintain dashboards, and investigate anomalies to help teams make informed decisions.
The role focuses heavily on understanding user behavior, content performance, engagement, conversion, and retention.
You will apply analytical techniques such as segmentation, funnel analysis, retention analysis, and A/B test evaluation to identify actionable insights.
You will collaborate with product and operations teams, supporting strategic initiatives and helping evaluate their business impact.
The position also provides opportunities to strengthen your SQL, Excel, visualization, and analytical problem-solving skills through real-world projects.
It is designed for motivated early-career talent who want to develop professionally while gaining exposure to data-driven product and community ecosystems.
Accountabilities:
- Monitor daily business data and assist with maintaining reports and dashboards covering user activity, content publishing, views, engagement, retention, and other key performance indicators.
- Identify unusual data patterns or performance changes and participate in root-cause analysis to help business teams understand underlying drivers.
- Analyze user journeys across browsing, liking, commenting, following, and content creation, using segmentation, funnel analysis, and retention analysis to identify opportunities for improving user experience and conversion.
- Evaluate the performance of different content formats, topics, and creators, providing analytical support for content operations, creator incentive initiatives, and community campaigns.
- Prepare data and analyze performance for product features, operational campaigns, and A/B tests, summarizing findings and contributing data-driven recommendations for improvement.
- Extract and analyze data based on product and operations requirements, ensuring insights are relevant to business objectives.
- Support event-tracking validation, metric definitions, documentation, and data quality checks to maintain accurate and reliable reporting.
- Communicate analytical findings clearly and collaborate with cross-functional stakeholders to support effective execution and continuous improvement.
Requirements:
- Currently enrolled in a master’s degree program or above, preferably in Statistics, Mathematics, Computer Science, Economics, or a related quantitative discipline.
- Strong SQL skills, including experience with multi-table joins, grouping, aggregation, and common data analysis queries.
- Strong Excel capabilities for data preparation, analysis, and reporting.
- Foundational knowledge of statistics and familiarity with analytical approaches such as funnel analysis and retention analysis.
- Ability to translate data into clear, evidence-based insights and investigate the business factors behind changes in key metrics.
- Strong interest in content-driven community products, user behavior, content distribution, and creator ecosystems.
- Detail-oriented approach with a strong commitment to data accuracy and quality.
- Strong communication, learning, analytical, and execution skills, with the ability to work effectively in a collaborative environment.
- Experience with Python, R, or BI tools for data analysis and visualization is preferred.
- Previous experience through a data analytics internship, academic coursework, personal project, or competition is an advantage, particularly where you can clearly explain your analytical methodology and individual contributions.
- Experience with content creation, community operations, or campus media management is a plus.
- Availability to work at least four days per week for a minimum of six consecutive months is preferred.
Benefits:
- 3–6 month accelerator internship designed to provide early-career talent with practical experience in the digital assets and technology space.
- Opportunities for professional networking and development, helping build transferable skills and expand your professional network.
- Exposure to real-world data analysis across user behavior, content ecosystems, product features, campaigns, and experimentation.
- Collaboration with experienced professionals in a global, user-focused environment with a relatively flat structure.
- Opportunities to work on fast-paced projects with autonomy while developing analytical and professional capabilities.
- Competitive salary and company benefits.
- Work-from-home arrangement, with the specific setup potentially varying according to the nature of the business team.
- Opportunities for continuous learning and career development.
- Inclusive and equal-opportunity working environment.
- Employment or engagement terms are subject to the applicable contract and local laws.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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