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

Apply Now

Program manager - Data Analyst

N Consulting Ltd
england, england, united kingdom
6 months ago
Applications closed

Related Jobs

View all jobs

Engineering Program Manager, Machine Learning

Project Manager - Data Analyst

Principal Data Scientist - Industry Solutions Engineering

Senior Strategic Analytics and Data Science Manager

Data Engineer - Manager

Data Engineering Manager

Role : Project Manager with Data Analyst

Location : Northampton

Work Mode : Hybrid (twice in a week from office)

 

Job Description:

 
We are seeking a Project Manager with hands-on Data Analysis experience to lead and deliver data-driven projects. This role requires a unique blend of project management expertise and technical proficiency in data analytics. You will work closely with cross-functional teams to deliver actionable insights, ensuring projects meet business objectives and timelines.

 

Key Responsibilities:

 

Project Management:

 

Plan, execute, and monitor data analytics projects from inception to completion.

Define project scope, objectives, timelines, deliverables, and resource requirements.

Collaborate with stakeholders to gather requirements, align expectations, and ensure successful project delivery.

Manage project risks, issues, and dependencies while ensuring quality and adherence to deadlines.

Document project progress, deliver regular status reports, and facilitate communication across teams.

Data Analytics:

Perform hands-on data extraction, transformation, and analysis using SQL, Python, Excel, or other analytics tools.

Interpret complex data sets to identify trends, patterns, and actionable insights.

Design and maintain dashboards and reports using BI tools (e.g., Power BI, Tableau, or similar).

Validate data quality, accuracy, and integrity throughout the analysis process.

Support decision-making by providing analytical insights and data-driven recommendations.

 

Required Skills & Qualifications:

 

Project Management:

Proven experience (3+ years) managing data analytics or data-related projects.

Strong understanding of project management methodologies (Agile, Scrum, Waterfall).

Experience in stakeholder management and leading cross-functional teams.

Data Analytics:

Hands-on experience with SQL, Python, or other data analysis languages.

Proficiency in data visualization tools (Power BI, Tableau, or similar).

Strong analytical and problem-solving skills with the ability to translate business needs into technical requirements.

General:

Excellent communication and interpersonal skills.

Ability to manage multiple projects simultaneously and prioritize effectively.

Bachelor's degree in Data Science, Computer Science, Business, or a related field (or equivalent experience).

PMP, PRINCE2, or Agile certifications (preferred but not required).

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.

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

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.