Data Analyst & Insights Specialist (Data Analytics Media Tech)
Description
About company
Plum Research (an Ampere Analysis company) is a data and analytics company specialising in audience measurement for the global entertainment industry. Headquartered in Poland and operating worldwide, Plum Research provides detailed insights into viewership behaviour across streaming platforms, TV networks, and film studios. With proprietary data collection technology and advanced analytical tools, Plum helps media clients make smarter content, licensing, and marketing decisions.
About the role
As a Data Analyst at Plum Research, you’ll work with large-scale audience data to understand how people watch and engage with content across global streaming platforms. You’ll work extensively in SQL, with Python for deeper analysis, data processing and automation. A big part of the role is turning ambiguous questions into clear analytical problems, investigating the data, and working out what the results actually mean. You’ll also communicate your findings to clients and internal teams, from answering ad-hoc questions to presenting analysis and explaining the story behind the numbers.
Your responsibilities
Analyse complex datasets using Python and SQL to uncover key insights about audience behaviour
Turn ambiguous or loosely defined questions into clear analytical problems and practical solutions
Support ongoing data quality initiatives, ensuring our data outputs are gold standard
Prepare and present compelling data summaries and visualisations for internal and client stakeholders
Communicate analytical findings clearly, both in writing and in conversation
Support client teams by responding to analytical questions and delivering fast, reliable solutions
Collaborate with cross-functional teams to refine products and improve research accuracy
Who we are looking for (must-have)
Python programming for data transformation, modelling, and analysis
Strong analytical and problem-solving skills, with the ability to investigate unexpected results and identify the underlying cause
SQL for querying, transforming, and integrating large datasets
Solid understanding of statistical concepts and data interpretation
Strong attention to detail and high standards for data integrity
Excellent communication skills – especially in explaining analytical findings
1-2 years of previous experience in a data analyst role
Nice to have
Familiarity with the TV, streaming, or film industry
Experience with BI tools or visualisation platforms (e.g., Looker, Tableau, Power BI)
Knowledge of surveys, panel data or audience measurement systems
What we offer
Salary based on experience and role scope
A collaborative, innovation-driven culture
Work at the cutting edge of media measurement, shaping how the biggest players in global media understand their audiences
Red Sky leads the recruitment process. The cooperation concerns Plum Research.
Recruitment process
Interview with HR (video meeting, 30 min)
Analytical task, async (approx. 1 hour of work, to be returned within 4 working days)
Interview with the hiring manager (video call, 60 min), including a short 5-10 min presentation
Final meeting with the CEO (video call, if needed)
Offer & starting the cooperation
Skills
As published by recruitee · 11 questions · 5 written answers
Basics
Full name, Email, CV, Cover letter, Phone
Short answers (1)
- What are your financial expectations (PLN net B2B monthly) or the equivalent under an employment contract (PLN gross)?
Pick from a list (5)
- The role is fully remote at first, with a planned Szczecin office in the next 1-2 years and a long-term hybrid model (3 days in the office, 2 days remote). Are you open to concider relocating and working in this model long term? optional
- Do you speak English fluently (C1)?
- Do you have legal permission to work in the EU?
- I consent to verification of my employment history with previous employers. optional
- I consent to the processing of my personal data in future recruitment processes optional
Written answers (5)
- Which streaming platforms do you use regularly, and what is one thing about how they work (recommendations, catalogue, pricing model, anything) that you've noticed from an analytical point of view? Please answer in 3-4 sentences.
- Which metrics would you use to describe audience engagement with a series on a streaming platform (for example, a new season launch)? Name 2-3 and briefly justify your choice.
- Tell us about any experience you have working with survey, panel or audience measurement data. If you haven’t worked with this type of data before, that’s absolutely fine.
- What challenges would you expect to encounter when working with this type of data, and how might you approach them?
- When are you able to start cooperation with us?