Data Analyst
Product Pulse · London, England, United Kingdom
- Hybrid
- Full-time
- $95,000 / year
- London, England, United Kingdom
Job highlights
- Analyze data and deliver automated insight packs.
- Prepare and shape data using Python and SQL.
- Build automated data pipelines and reporting.
- Create and maintain Looker Studio dashboards.
- Collaborate with engineering for data improvements.
About the role
About Product Pulse
Product Pulse is a fast-growing B2B SaaS scale-up in the Digital Merchandising, Media & Entertainment Industry. Through its award-winning ‘Vizibility’ Product, Product Pulse 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. Product Pulse 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)
- Data Analysis
- Python
- SQL
- Looker Studio
- Data Modeling
- Automation
- Data Pipelines
- Data Visualization
- Cloud Data Environments
- Communication
Skills & topics
- Data Analyst
- Python
- SQL
- Looker Studio
- Data Analysis
- Business Intelligence
- Data Modeling
- Automation
- SaaS
- B2B
How to get hired
- Tailor your resume: Highlight your Python, SQL, and Looker Studio experience, emphasizing automation and data storytelling skills.
- Showcase your impact: Quantify your achievements in data analysis and reporting in previous roles.
- Prepare for technical questions: Be ready to discuss SQL queries, Python data manipulation (pandas, NumPy), and BI tool usage.
- Demonstrate collaboration: Highlight your ability to work with engineering and stakeholders to resolve data issues and improve clarity.
- Emphasize your attitude: Convey your curious, proactive, and make-it-happen approach in interviews.
Technical preparation
Practice SQL for data modeling and transformation.,Build sample dashboards with Looker Studio.,Automate a small data processing task.,Review Git and version control best practices.
Behavioral questions
Describe a time you turned ambiguity into an outcome.,How do you ensure data accuracy and reliability?,Share an example of collaborating with engineers.,How do you approach documenting your work?
Frequently asked questions
- What are the key technical skills required for the Data Analyst role at Product Pulse?
- The Data Analyst role at Product Pulse requires strong proficiency in Python (including libraries like pandas and NumPy) and SQL for data manipulation and analysis. Experience with Looker Studio (or similar BI tools) for dashboard creation and data storytelling is essential. Familiarity with automating data preparation and reporting processes, along with experience in cloud data environments like AWS, is highly beneficial.
- How important is automation experience for the Data Analyst position at Product Pulse?
- Automation experience is crucial for this Data Analyst role at Product Pulse. You will be expected to build lightweight pipelines and automations to ensure datasets and reports refresh on schedule, and to implement automated validation for accuracy. Demonstrating your ability to automate data preparation and reporting is a key requirement.
- What kind of data analysis and reporting tasks can I expect as a Data Analyst at Product Pulse?
- As a Data Analyst at Product Pulse, you will produce insight packs, including dashboards and visuals, to answer business questions. You will also prepare analysis-ready datasets by writing SQL models and Python transforms for data cleaning and shaping. Maintaining Looker Studio dashboards and standardizing KPI definitions will also be part of your responsibilities.
- Does Product Pulse offer remote work for its Data Analyst positions?
- Yes, Product Pulse offers a fully remote working arrangement for its Data Analyst position. This allows for a flexible working environment, focusing on outcomes rather than strict hours worked, and provides opportunities for training and development.
- What is the company culture like at Product Pulse for a Data Analyst?
- Product Pulse fosters a collaborative and proactive culture. They look for bright, talented, passionate, and ambitious individuals to join their exciting journey. The company emphasizes clear communication, thorough documentation, and a 'make-it-happen' attitude, particularly suited for a lean team environment.
- What kind of career growth opportunities are available for a Data Analyst at Product Pulse?
- Product Pulse is a fast-growing scale-up with ambitious plans for business expansion. They offer training and development opportunities, supporting your professional growth as you contribute to their disruptive presence in the industry. Joining now means being part of a rapidly scaling company with significant potential.