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Compensation Analyst

Remote: 
Hybrid
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 
Mexico City (MX)

Offer summary

Qualifications:

Experience with analytical data analysis tools, Knowledge of reward systems, Experience with cyclical reward processes, Educated to degree level.

Key responsabilities:

  • Support total reward initiatives across the business
  • Validate and reconcile compensation data for accuracy
  • Analyze data to identify trends and improvements
  • Prepare reports to aid decision-making
  • Ensure compliance with regulatory requirements
AstraZeneca logo
AstraZeneca Pharmaceuticals XLarge http://www.astrazeneca.com/
10001 Employees
See more AstraZeneca offers

Job description

Supports with total reward insight and guidance to the business, working as part of a team to provide support across different initiatives and specific areas of specialty. Works closely with colleagues across the business to provide support for reward solutions which assist business delivery. Work can include validating compensation data and reconciling audit reports. There is also an element of delivery for all annual reward activities. Supports ongoing implementation and embedding of all global reward programmes (both cyclical and change) as well as the provision of total reward education across the business units.

Accountabilities

- Participates as a project team member to deliver projects or reward sub-processes
- Provides day-to-day support on routine reward queries, or more complex enquiries within a single field of expertise, understands and resolves queries
- Validate and reconcile compensation and benefits data to ensure accuracy and completeness
- Identify and address discrepancies or anomalies in the data and collaborate with relevant collaborators to rectify issues
- Analyze compensation and benefits data to identify trends, patterns, and potential areas for improvement
- Prepare and present clear, concise reports and insights to support decision-making by HR and business leaders
- Ensure that all compensation and benefits data adhere to relevant regulatory requirements and internal policies
- Audit as relevant areas to ensure governance has been applied
- Contribute to the continuous improvement of data validation processes and systems to enhance efficiency and accuracy

Essential Skills/Experience

- Experience of Analytical Data analysis tools
- Reward knowledge
- Experience of supporting cyclical reward processes

Desirable Skills/Experience

- Educated to Degree Level

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

Fuel a growth mindset through diversity

We are driven by learning. There's no room for egos here: we're an open-minded team, willing to share and willing to listen. We thrive on working seamlessly and inclusively across our different functions. It's the diversity of perspectives and opportunities that fuels our passion for lifelong learning.

Ready to make a difference? Apply now!

Date Posted

05-Nov-2024

Closing Date

24-Nov-2024

AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Pharmaceuticals
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Report Writing
  • Problem Solving
  • Collaboration

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