Data Analyst, Product Solutions and Ops

TikTok
London, United Kingdom
3 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required
Spotlight

Senior ML Compiler Engineer

Fractile Bristol, United Kingdom

Data Scientist

Guidant Global London, United Kingdom
£600 – £850 pd On-site Clearance Required

Machine Learning Engineer

PhysicsX North Tyneside, NE29 8EP, United Kingdom
On-site Clearance Required

Associate

Faculty AI London, United Kingdom
Hybrid

Engineering Manager

Quantexa London, United Kingdom
Hybrid

Senior Solutions Architect - Lakewatch

Databricks London, United Kingdom

ML Research Engineer, London

Isomorphic Labs London, United Kingdom
On-site
Posted
11 Feb 2026 (3 months ago)

Responsibilities
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.

TikTok's Product Solutions & Operations (PSO) team aims to help businesses and brands address their marketing goals through product solutions and also reflecting key insights back to the product teams for product iteration. This role will partner closely with the EUI Strategy and Operations lead to ensure that all projects are completed on time and to the highest standard. This highly organized and efficient professional must be flexible and able to wear multiple hats while working closely with our cross-functional teams and prioritizing the needs of the team.

Key Responsibilities

  1. Responsible for business analysis of TikTok monetization products. Evaluate business health, identify potential risks and major business opportunities from a regional perspective, using statistical analysis, quantitative attribution and other methods.
  2. Participate in business goal setting, key direction decision-making and improve internal management efficiency by integrating various data and information based on comprehensive business logic across products, multiple platforms and multiple business forms.
  3. Design comprehensive metrics framework and execute cadence programs to track milestones, metrics, and goals for key product solutions.
  4. Provide thought leadership on product data requirements and help capture the right level of data early on to drive product adoption.
  5. Collaborate with PM, PMM, sales, strategy team and other roles to deliver business and product analysis with clear conclusions and implementation plans, provide decision-making references for leaders and achieve data-driven business growth.
  6. Provide high-information-density business data insights for leaders and analytical support for day-to-day product-related operational questions.


Qualifications
Minimum Qualifications:

  1. 5+ Years industry experience (preferably in ad tech, agencies, digital marketing) and advanced degree in quantitative discipline (e.g., Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics) or equivalent practical experience.
  2. Fluency in SQL/Hive, R/Python; experience in using data visualization products; knowledge of quantitative attribution methods.
  3. Strong curiosity; sensitive to data; good at extracting insights from data.


Preferred Qualifications:

  1. Commerce industry expertise.
  2. Experience in cross-team cooperation; quickly adapting to complex environments.


TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Entertainment Providers


#J-18808-Ljbffr

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.