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

Apply Now

Senior Data Analyst

www.findapprenticeship.service.gov.uk - Jobboard
West Midlands
3 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst | Up to £85,000 | 10% Bonus | London | Hybrid

Senior Data Analyst - SQL & Python

Senior Data Analyst – Fraud Analytics

Senior Data Analyst


Location and Working Hours

Hybrid, Birmingham (3 days per week in the office)


40 hours per week, Monday – Friday


Compensation and Benefits

Competitive salary plus Car allowance + Pension


About Us

BCA is the biggest name in Europe’s vehicle remarketing industry, backed by the Constellation Automotive Group, which includes brands like cinch and WeBuyAnyCar.com. We are experiencing rapid growth and are on a key digital transformation journey.


Constellation Automotive Group is the largest vertically integrated digital used car marketplace in Europe, offering competitive salaries, attractive benefits, support for career progression, and flexible remote working.


About BCA Logistics

BCA Logistics supports the broader Constellation group with logistics services, including delivering single moves and inspections for leasing and finance companies.


Role Overview

The BCA Logistics Senior Data Analyst is a key role within the Analysis & Insights team, working closely with other data analysts and directly with the BCAL business to provide operational efficiency, quality, and planning insights.


Key Responsibilities


  1. Provide stakeholders with reports and analysis to drive business performance and communicate findings with clear recommendations.
  2. Optimize all reporting, analysis, and dashboards for efficiency throughout the data flow.
  3. Engage with key stakeholders to understand business needs and identify how data can support improved performance.
  4. Support workload management between project work and ad hoc requests.
  5. Collaborate with the wider Analysis & Insights team and maintain documentation for reports.
  6. Stay updated with industry trends and pursue professional development.
  7. Participate in team discussions and business projects to share learnings.


Key Skills


  1. Ability to use data to identify business opportunities and impact revenue and profit.
  2. Strong analytical skills with storytelling ability and clear communication.
  3. Experience building relationships with stakeholders and understanding business needs.
  4. Autonomous and team-oriented mindset, capable of managing multiple priorities.
  5. Experience developing data analysis solutions from scratch.
  6. Proficiency in SQL, Python, Databricks, Power BI, DAX, and Power Platform.
  7. Excellent communication skills, confident presenting to senior management, including C-suite.


Desirable Skills


  1. Proven data analysis experience.
  2. Experience with DevOps.
  3. Degree in Computing, Mathematics, or Statistics.


Additional Information

We are proud to be Level 1 Disability Confident and committed to inclusive hiring practices.


Our policy is to employ the best qualified people and ensure equal opportunity for all employees.


#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.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.