Data Analyst

About Looper Insights

Looper Insights is a fast growing B2B SaaS scale up in the Digital Merchandising Media & Entertainment Industry. Through its award winning ‘Vizibility’ Product, Looper Insights licenses 1st Party Application & Title Performance Data and Insights, to major D2C (Streamers and Broadcasters), Film/TV Studios, CTV Platforms and Regulators. Vizibility offers a near real‑time view and snapshot of how your app or title is performing at a given time, across any device, any network, any country and even vs your competitors. Looper Insights counts many of the World’s leading Global Streaming, Film/TV Studios and Broadcasters, as its customers. With a recent funding round completed, we are about to embark on an ambitious plan to rapidly scale the business in FY25. We are looking for bright, talented, passionate and ambitious people to come and join us in this exciting journey and be part of one of the most exciting scale ups in the world, that is disrupting the Industry.

We’re looking for a Data Analyst who can deliver insight packs and prepare analysis‑ready datasets all in an automated fashion. You’ll use Python and SQL to clean and model data, build Looker Studio dashboards, and stand up lightweight pipelines so reporting and data checks run reliably without manual effort. You communicate clearly, document thoroughly, collaborate well, and turn ambiguity into shipped outcomes.

What you’ll do

• Produce insight packs: dashboards, visuals, and concise narratives that answer business questions for internal stakeholders (and occasionally prospects/customers).
• Prepare analysis‑ready datasets: write SQL models/views and Python transforms to join, clean, and shape data.
• Build lightweight pipelines/automations so datasets and reports refresh on schedule.
• Implement automated validation to keep insights consistently accurate.
• Create and maintain Looker Studio dashboards; standardize KPI definitions and keep them documented.
• Collaborate with engineering to improve data clarity and resolve issues quickly.
• Work reproducibly with Git/version control and maintain clear documentation others can reuse.

What you’ll bring

• 2+ years in data analytics, using Python (pandas, NumPy) and SQL daily.
• Hands‑on Looker Studio (or similar BI) for dashboards and data storytelling.
• Experience automating data prep and reporting.
• Experience with cloud data environments (AWS helpful); exposure to ClickHouse or similar analytical DBs is a plus.
• Excellent communication and documentation skills; collaborative by default.
• A curious, proactive, make‑it‑happen attitude suited to a lean team.

What we offer

• Fully Remote working
• 27 days' holiday
• Flexible working environment - outcome over hours worked
• Training & development opportunities
• Employee assistance programme
• Access to UK working locations (via the Reef app or in Central London)

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