Data Analyst

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🕒 3 days ago

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LiveLike

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2015

⚽ Sports

💳 Fintech

🛍️ eCommerce

Sports • Fintech • eCommerce

LiveLike is an audience engagement platform that transforms digital users into engaged fans through customized, interactive experiences. It offers gamified solutions, loyalty programs, and analytics tools designed to enhance viewer engagement in various sectors, including sports, fintech, and entertainment. By integrating interactive features and community elements, LiveLike helps brands maximize user value and create revenue opportunities through engaging digital content.

📋 Description

• Build and maintain client-facing dashboards and data views in response to stakeholder requests, translating business questions into clear visual outputs. • Write and optimise SQL queries to extract, transform, and analyse data from LiveLike's Redshift and PostgreSQL environments. • Collaborate with senior engineers on data architecture decisions — contributing to pipeline design, schema thinking, and data model improvements. • Own and deliver weekly and monthly client reports, covering widget performance, user engagement, and gamification outcomes across the LiveLike product suite. • Proactively surface new insights from data — identifying trends, anomalies, and opportunities that go beyond standard reporting requests. • Develop a deep understanding of the LiveLike data system — platform events, user journeys, gamification logic — and use that knowledge to suggest improvements to how we measure and report. • Partner with internal stakeholders (PMs, CSMs, engineers) and client teams to gather requirements, align on metric definitions, and ensure deliverables meet expectations.

🎯 Requirements

• Proficiency in SQL — comfortable writing queries from scratch including joins, aggregations, subqueries, and window functions. • 0–3 years of experience in data analytics, business intelligence, or a related field. • Fresher and intern applications are welcome. • Logical, structured mindset — ability to break down ambiguous business questions into data-driven answers. • Strong attention to detail and comfort working with large, complex datasets. • Clear communication skills — able to present findings to both technical and non-technical stakeholders.

🏖️ Benefits

• Professional development opportunities