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Back Office jobs in United States

Data Analyst (Chinese Speaking) Corporate Hammersmith

Eeze Entertainment Malta Limited

Greater London
Hybrid
GBP 80,000 - 100,000
7 days ago
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Senior Test Engineer

AJ Bell plc

Manchester
Hybrid
GBP 45,000 - 60,000
2 days ago
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Client Solutions Specialist

AnaVation LLC

Cambridge
On-site
GBP 35,000 - 50,000
9 days ago

SAP Solution Architect

KPMG International Limited

Belfast
Hybrid
GBP 70,000 - 90,000
3 days ago
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SAP Data & Analytics Architect

KPMG International Limited

Belfast
Hybrid
GBP 70,000 - 90,000
3 days ago
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SAP Implementation Lead

KPMG International Limited

Belfast
Hybrid
GBP 80,000 - 120,000
4 days ago
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Alpha Environment and Data Strategy Manager, Vice President

isepglobal

Greater London
On-site
GBP 90,000 - 120,000
9 days ago

Core Engineer - DeFi - London (F/M/D)

Dubizzle Limited

Greater London
On-site
GBP 70,000 - 90,000
9 days ago
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Trading Controls Optimisation Office Manager

Lloyds Bank plc

City of Edinburgh
Hybrid
GBP 93,000 - 104,000
9 days ago

Site Methods Engineer - Steel Structures

Thomas & Adamson

Tees Valley
On-site
GBP 100,000 - 125,000
9 days ago

Security Concierge

Foot Anstey LLP

Bristol
On-site
GBP 24,000 - 30,000
Yesterday
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Financial Planning Administrator – Wealth Management, Cheam, Surrey, 32,000 – 40,000 (DOE) Fi[...]

Notjustlabcoats

Brighton
Hybrid
GBP 32,000 - 40,000
Yesterday
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Systems Engineer – Servers and Infrastructure

Idox Group

United Kingdom
On-site
GBP 40,000 - 60,000
Yesterday
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Administrator - Scheduling Team

Transformationunitgm

Clay Cross CP
On-site
GBP 40,000 - 60,000
Yesterday
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Material Management Analyst

Medtronic plc

Watford
On-site
GBP 35,000 - 54,000
2 days ago
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Business Readiness Specialist

Diligenta Limited

Stirling
On-site
GBP 80,000 - 100,000
Yesterday
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HR Advisor

Genuit Group

Caerphilly
On-site
GBP 30,000 - 40,000
Yesterday
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HR Advisor

Polypipe Group

Caerphilly
On-site
GBP 30,000 - 40,000
Yesterday
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Lux Front Desk Security Concierge

Foot Anstey LLP

Bristol
On-site
GBP 24,000 - 30,000
Yesterday
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Head of Product – Back Office Operations

InvestEngine Limited

City of London
Remote
GBP 80,000 - 110,000
29 days ago

Contact Centre Sales Advisor - Cardiff

In Cork

Cardiff
Hybrid
GBP 25,000
5 days ago
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Senior Audit Manager - Markets

Lloyds Bank plc

Bristol
Hybrid
GBP 90,000 - 132,000
4 days ago
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D365 Finance & Operations Architect

Warner Bros Games

Leavesden
Hybrid
GBP 80,000 - 120,000
4 days ago
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Principal Substation Primary Design Engineer

Advance Training & Recruitment Services

Glasgow
Hybrid
GBP 70,000 - 90,000
4 days ago
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Customer Service Planner (Operations - Customer/Administration)

Morgan Sindall Property Services Limited

Greater London
On-site
GBP 24,000 - 29,000
4 days ago
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Data Analyst (Chinese Speaking) Corporate · Hammersmith ·
Eeze Entertainment Malta Limited
Greater London
Hybrid
GBP 80,000 - 100,000
Full time
7 days ago
Be an early applicant

Job summary

A dynamic entertainment company in the UK is seeking a motivated Data Analyst to enhance data-driven decision-making. In this role, you will collaborate with Product, Back office, and Operations teams to create data logic and operational dashboards while evaluating key performance metrics. Candidates should have over two years of experience in data analytics, strong SQL and Python skills, and the ability to communicate insights clearly. The position offers a competitive salary and inclusive work environment.

Benefits

26 days paid holiday
Competitive salary
Risk benefits (pension, Life Assurance)
Team Building activities

Qualifications

  • 2+ years of experience in a data analytics or business intelligence role.
  • Ability to clearly communicate insights and recommendations to stakeholders.
  • Comfortable working in a fast-paced and dynamic environment.

Responsibilities

  • Partner with product managers and teams to design data logic.
  • Build and maintain dashboards and operational monitoring reports.
  • Conduct product and operational analysis to identify inefficiencies.

Skills

SQL
Python
Tableau
Analytical skills
Communication skills
Problem-solving skills
Job description
Role Overview:

We are looking for a highly motivated Data Analyst to join our growing team in the UK. In this role, you will work closely with our Product, Back office and Operations teams to translate business and risk requirements into data logic, design operational dashboards, monitor key risk/operations metrics, and support the development of internal tools that power our back office.

Strong communication skills are essential, as you will be expected to work closely with stakeholders across various functions and explain findings to non-technical audiences.

Key Responsibilities:
  • Partner with product managers, platform engineers, and operations teams to design and implement data logic for back-office and risk-control workflows.
  • Build and maintain internal dashboards, operational monitoring, and risk-related KPI reports.
  • Conduct deep-dive product and operational analysis to identify anomalies, inefficiencies, and optimisation opportunities.
  • Support requirement scoping for new back-office features (e.g., monitoring logic, risk rules), and turn them into clear data specifications.
  • Ensure data accuracy and consistency by collaborating with engineers on data tracking, table design, and logic validation.
  • Provide ad-hoc insights to support decision-making across product and risk teams.
Qualifications & Skills:
  • 2+ years of experience in a data analytics or business intelligence role.
  • Proficient in SQL, Python (especially for data analysis), and Tableau (or other BI tools).
  • Strong analytical and problem-solving skills with a keen eye for detail.
  • Experience working closely with Product, Engineering, or Operations teams.
  • Ability to clearly communicate insights and recommendations to stakeholders with diverse backgrounds.
  • Comfortable working in a fast-paced and dynamic environment.
  • Mandarin proficiency is preferred.
Preferred Qualifications:
  • Experience with risk analytics, operational workflows, BI systems.
  • Familiarity with quantitative methods (funnel conversion, cohort analysis).
  • Solid foundation in statistics and data interpretation.
  • Experience working on mobile app or web product analytics.
  • Familiarity with modern big data frameworks (e.g., Spark, Hive, Presto, or similar) is a plus.
We Offer:
  • Experience a dynamic and team-oriented work environment.
  • Opportunities for personal growth and learning.
  • An open, inclusive and supportive team where you will be valued, and your suggestions will be welcome.
  • 26 days paid holiday per year, in addition to local public holidays.
  • Competitive salary.
  • Risk Benefits such as pension, Life Assurance (4x annual salary), Private Medical Insurance.
  • Team Building activities.
  • Local discounts and more...!
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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