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2 Days Ago
Manchester, Greater Manchester, England, GBR
1,600 Employees
Entry level
1,600 Employees
Entry level
Automotive
Join Auto Trader as a Senior Reward Advisor based in Manchester. Responsibilities include job evaluation, salary benchmarking, data analysis, managing employee share scheme, and supporting compensation strategies. Strong attention to detail, Willis Towers Watson methodology experience, and Microsoft Excel skills required. Salary range £40,000 - £55,000 per year with additional shares awarded annually. 29 days holiday and other benefits included.
2 Days Ago
Manchester, Greater Manchester, England, GBR
1,600 Employees
Entry level
1,600 Employees
Entry level
Automotive
The Senior Reward Analyst at Auto Trader will be responsible for job evaluation, salary benchmarking, data analysis, managing employee share scheme, and providing valuable insights to support compensation strategies. Strong attention to detail, job leveling experience, Excel skills, and excellent communication are essential for this role. The salary ranges from £40,000 to £55,000 per year with an additional 10% of salary awarded in shares annually.
2 Days Ago
Manchester, Greater Manchester, England, GBR
1,600 Employees
Entry level
1,600 Employees
Entry level
Automotive
As a Principal Data Analyst at Auto Trader, you will lead analytics initiatives, set the agenda for analytics, and shape teams to meet company objectives. Responsibilities include identifying future business needs, collaborating with senior leaders, and fostering a data-driven culture. Ideal candidates will have expertise in data analytics, statistics, machine learning, and project orchestration. Salary range: £60,000-£80,000 per year.
2 Days Ago
Manchester, Greater Manchester, England, GBR
1,600 Employees
Senior level
1,600 Employees
Senior level
Automotive
Seeking a Senior Data Scientist to drive Auto Trader's transformation into a data science-driven organization. Responsibilities include leading Data Science direction, developing ML-centric data products, collaborating with cross-functional teams, and fostering a culture of shared insights. Requires expertise in ML frameworks, algorithms, statistical methods, Python, and SQL.
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