Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Lead Operator and Data Analyst Assistant

ZipRecruiter
London
5 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Analyst

Lead Data Analyst

Lead Data Scientist

Lead Data Scientist

Senior Data Scientist

Senior Data Scientist

Job Description

Lead Operator- London - Earn up to £16/h - Apply Now!

At Job&Talent, we are seeking an experienced and dynamic Lead Operator to manage a diverse team of 6 drivers and 7 decay hunters/investigators/cyclists. In this role, you will be responsible for ensuring efficient team performance, coordinating shift schedules, and ensuring uptime targets are consistently met. You will also have a strategic focus on understanding the market impact of tasks and driving operational excellence across the team.

Shift Patterns:

Tuesday to Saturday - 8am-5pm

Pay Rates:

£16/h

As a Lead Operator, you will need to have:

  1. Proven experience in operations management, preferably in a similar leadership role.
  2. Strong leadership skills with experience managing teams and driving performance.
  3. Ability to develop and manage shift schedules while ensuring operational needs are met.
  4. Strong problem-solving and decision-making abilities.
  5. Understanding of market dynamics and how operational tasks impact broader business goals.
  6. Excellent communication skills and the ability to work effectively with cross-functional teams.
  7. A flexible, adaptable approach to working hours and tasks.
  8. Ability to handle high-pressure situations and meet operational targets.

Role of a Lead Operator and Data Analyst Assistant:

  1. Team Management:Supervise, lead, and support a team of 6 drivers and 7 decay hunters/investigators, ensuring tasks are executed efficiently and safely.
  2. Shift Planning:Develop and manage shift schedules, ensuring optimal coverage and resource allocation while providing flexibility to accommodate team needs.
  3. Performance Management:Monitor individual and team performance, providing feedback, guidance, and support to meet operational goals. Conduct performance reviews and facilitate training and development to improve skills and productivity.
  4. Uptime Management:Ensure uptime targets are met consistently, working closely with the team to resolve any issues that may cause delays or disruptions.
  5. Market Impact Analysis:Understand the impact of team tasks on the broader market, ensuring operations align with business objectives and market demands.
  6. Problem-Solving:Proactively address and resolve operational challenges, making adjustments as needed to maintain smooth operations.
  7. Collaboration:Work closely with other departments and stakeholders to ensure the smooth flow of operations and communicate any potential disruptions or improvements.
  8. Reporting:Regularly report team performance, uptime, and market impact to upper management, highlighting any key issues or opportunities for improvement.

Benefits of working with us as a Lead Operator and Data Analyst Assistant:

  1. Opportunity to contribute to a startup's growth.
  2. Work alongside a vibrant and motivated team.
  3. 40 hours per week with potential for overtime paid at regular rates.
  4. 28 days of holidays.
  5. Opportunities for professional development and advancement.
  6. Weekly compensation.
  7. Pension Scheme.

Location:London

Duration:Ongoing

This is an amazing opportunity if you are looking for Lead Operator jobs in London. Sign your contract with Job&Talent for some great working benefits and professional stability.

If you are interested in the above role please click apply and one of our team members will get in touch with you shortly! If you are looking to contact our onsite team, please visit the site locator on our website. Job&Talent do NOT charge any fees for our services. Job&Talent acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers.

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.