Business Analyst II
- Recruiter
- Amazon.
- Location
- Barcelona, Spain
- Salary
- Competitive salary
- Posted
- 17 May 2021
- Closes
- 15 Jun 2021
- Ref
- 1523146
- Job role
- Business analyst, CFO
- Sector
- Digital, Retail and FMCG
Description:
The goal of Amazon Logistics is to build a world class last mile operation. Amazon aims to exceed the expectations of our customers by ensuring that their orders are delivered quickly, accurately, and in the most cost effective way possible.
The Capacity Planning Team provides AMZL with cost-optimal and flexible capacity solutions for in-station operations, year-round and enabling the business to scale for seasonal peak demand increases. This role is based out of the Barcelona corporate office (BCN10). The ideal candidate is passionate about leveraging data to deliver actionable insights that impact daily business, has a strong delivery record and experienced in driving execution in a cross-functional environment, backed by analysis and data. They thrive in a fast-paced environment, relish working with large amounts of data, and enjoys the challenge of solving highly complex, and sometimes ambiguous problems.
As a Planning Analyst in the Capacity Planning Team, you will be working on the weekly cadence for the generation of labor plans for AMZL delivery stations to make sure the organization is well prepared for the future. You will analyze execution gaps to improve future plans. You will work cross-functionally and build key relationships to ensure that decisions are made and action. Which enables the AMZL operations to run as effectively as possible. You will challenge the unknown and strive for continuous improvement in key areas of our business.
A successful candidate enjoys problem solving, is comfortable accessing and working with big data from multiple sources, and is enthusiastic about partnering with other teams across the business to deliver results. You should have an internal drive to challenge the status quo, excellent analytical skills, as well as excellent written and verbal communication skills. You should be a self-starter, comfortable with ambiguity, naturally curious, and be involved in the details.
In this position, you will take ownership of labor planning as soon as you start, you'll exercise sound judgement, making sure plans are realistic and achievable. And it'll be worth it; the impact you could have, within one of the world's biggest, most innovative companies, won't go unnoticed. At Amazon, we trust the people we hire and provide plenty of support to help to set you up for success . Our culture is very learn-by-doing oriented; you will take control of your career.
Basic Qualifications:
Basic Qualifications
. 5+ years of experience in analytics / Supply Chain Logistics Background
• Bachelor's level degree, numerate subjects, and / or Master's degree
• Strong data manipulation background and works with numbers on a daily basis and Experience with analyzing big data sets
• Demonstrated ability to handle multiple competing priorities with a proven track record for delivering results on large and cross functional.
• Experience of Excel and data-driven decision making skills
• Entrepreneurial mindset, with the tenacity to develop ideas independently to take ownership.
Preferred Qualifications:
• Degree in Engineering, Operations, or related technical field
• Formal project management training such as PRINCE2 or PMP
• Experience of working in a virtual team.
• Ability to influence leaders at all levels
Recent experience in project management, handling multiple priorities, and working with varied stakeholders.
Entrepreneurial mindset, with the tenacity to develop ideas independently to take ownership.
Results-oriented , makes things happen, ability to move fast, innovate and simplify
Demonstrated ability to work in cross functional teams and drive results.
Detail orientated and excellent documentation skills.
Strong communications and facilitation skill.
.Can deal with ambiguity and adapt changes quickly; demonstrate strong driving force.
Strengths in problem solving, issue-resolution, ability to work in a deadline-driven environment, attention to detail, and ability to multitask.
The goal of Amazon Logistics is to build a world class last mile operation. Amazon aims to exceed the expectations of our customers by ensuring that their orders are delivered quickly, accurately, and in the most cost effective way possible.
The Capacity Planning Team provides AMZL with cost-optimal and flexible capacity solutions for in-station operations, year-round and enabling the business to scale for seasonal peak demand increases. This role is based out of the Barcelona corporate office (BCN10). The ideal candidate is passionate about leveraging data to deliver actionable insights that impact daily business, has a strong delivery record and experienced in driving execution in a cross-functional environment, backed by analysis and data. They thrive in a fast-paced environment, relish working with large amounts of data, and enjoys the challenge of solving highly complex, and sometimes ambiguous problems.
As a Planning Analyst in the Capacity Planning Team, you will be working on the weekly cadence for the generation of labor plans for AMZL delivery stations to make sure the organization is well prepared for the future. You will analyze execution gaps to improve future plans. You will work cross-functionally and build key relationships to ensure that decisions are made and action. Which enables the AMZL operations to run as effectively as possible. You will challenge the unknown and strive for continuous improvement in key areas of our business.
A successful candidate enjoys problem solving, is comfortable accessing and working with big data from multiple sources, and is enthusiastic about partnering with other teams across the business to deliver results. You should have an internal drive to challenge the status quo, excellent analytical skills, as well as excellent written and verbal communication skills. You should be a self-starter, comfortable with ambiguity, naturally curious, and be involved in the details.
In this position, you will take ownership of labor planning as soon as you start, you'll exercise sound judgement, making sure plans are realistic and achievable. And it'll be worth it; the impact you could have, within one of the world's biggest, most innovative companies, won't go unnoticed. At Amazon, we trust the people we hire and provide plenty of support to help to set you up for success . Our culture is very learn-by-doing oriented; you will take control of your career.
Basic Qualifications:
Basic Qualifications
. 5+ years of experience in analytics / Supply Chain Logistics Background
• Bachelor's level degree, numerate subjects, and / or Master's degree
• Strong data manipulation background and works with numbers on a daily basis and Experience with analyzing big data sets
• Demonstrated ability to handle multiple competing priorities with a proven track record for delivering results on large and cross functional.
• Experience of Excel and data-driven decision making skills
• Entrepreneurial mindset, with the tenacity to develop ideas independently to take ownership.
Preferred Qualifications:
• Degree in Engineering, Operations, or related technical field
• Formal project management training such as PRINCE2 or PMP
• Experience of working in a virtual team.
• Ability to influence leaders at all levels
Recent experience in project management, handling multiple priorities, and working with varied stakeholders.
Entrepreneurial mindset, with the tenacity to develop ideas independently to take ownership.
Results-oriented , makes things happen, ability to move fast, innovate and simplify
Demonstrated ability to work in cross functional teams and drive results.
Detail orientated and excellent documentation skills.
Strong communications and facilitation skill.
.Can deal with ambiguity and adapt changes quickly; demonstrate strong driving force.
Strengths in problem solving, issue-resolution, ability to work in a deadline-driven environment, attention to detail, and ability to multitask.