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职位Avis Budget

Business Insights Analyst

Avis Budget

Business Insights Analyst

Avis Budget

Avis Budget House, HQ

·

On-site

·

Full-time

·

1mo ago

必备技能

Python

SQL

Tableau

Job Title: Business Insights Analyst

Location: Bracknell, Berkshire

Role Overview

This role focuses on leveraging Business Intelligence and analytical capabilities to improve visibility and data-driven decision-making across Fleet and Operations teams.

You will transform operational data into structured, actionable insights that enable performance improvement, cost optimization, and process efficiency. This is a business-facing role requiring strong analytical skills, operational understanding, and the ability to challenge assumptions through data.

What You'll Be Doing

  • Partner with operational stakeholders to understand performance challenges and identify improvement opportunities through data-driven insights.
  • Analyze operational KPIs to identify trends, risks, and efficiency opportunities.
  • Translate complex operational data into clear performance narratives and actionable recommendations.
  • Build, maintain, and continuously improve high-impact dashboards and reporting solutions using BI tools (Tableau, Power BI).
  • Perform deeper analytical assessments using statistical and programming tools (e.g., Python or R) when required to support performance optimization initiatives.
  • Support business discussions with structured, fact-based insights.
  • Define, monitor, and help standardize key operational metrics across EMEA markets.
  • Improve and automate recurring reporting processes to enhance scalability and reduce manual workload.
  • Contribute to data governance and ensure consistency & reliability of reporting outputs.

What You'll Bring

  • Bachelor’s or Master’s degree in Business Analytics, Data Science, Econometrics, Statistics, Engineering, or related field.
  • 2–3 years experience in analytics, business intelligence or similar roles.
  • Strong SQL skills and experience querying operational databases.
  • Advanced proficiency in BI tools (Tableau, Power BI).
  • Working knowledge of Python or R for data manipulation and analytical modeling.
  • Experience with data preparation tools (e.g., Tableau Prep, Alteryx, or similar) is a plus.
  • Experience applying data science techniques to solve operational performance challenges is preferred.
  • Experience working with performance KPIs and operational metrics.
  • Ability to translate business needs into structured analytical approaches.
  • Strong data storytelling and presentation skills.
  • Excellent communication and stakeholder management capabilities.
  • Ability to work effectively in a fast-paced, cross-functional environment.

What We Can Offer:

  • Generous Leave: 25 days holiday, plus bank holidays. Rising with length of service.
  • Employee Assistance Programme (EAP): Provided by Health Assured – 24/7 support for your mental health and wellbeing.
  • Employee Discounts: Discounts on car rental across Avis Budget Group (including Zipcar).
  • Pension Contribution: Company pension plan to help secure your future.
  • Friends and Family Discount: Special rates for your loved ones.
  • Onsite Amenities: Bracknell HQ offers free parking and access to a small onsite gym.

Bracknell

Bracknell Forest

United Kingdom

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关于Avis Budget

Avis Budget

Parent company.

10,001+

员工数

Parsippany

总部位置

$1.2B

企业估值

评价

3.6

10条评价

工作生活平衡

2.8

薪酬

3.7

企业文化

3.9

职业发展

2.6

管理层

2.2

62%

推荐给朋友

优点

Good benefits and competitive compensation

Supportive team and friendly coworkers

Training and development opportunities

缺点

Poor management communication and direction

Limited career advancement opportunities

High workload and overwhelming demands

薪资范围

646个数据点

Junior/L3

Mid/L4

Senior/L5

Director

Junior/L3 · Customer Subrogation Supervisor

1份报告

$85,208

年薪总额

基本工资

$74,006

股票

-

奖金

-

$85,208

$85,208

面试经验

2次面试

难度

3.0

/ 5

时长

14-28周

面试流程

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

Final Round Interview

5

Offer

常见问题

Behavioral/STAR

Past Experience

Culture Fit

Technical Knowledge