Business Analytics & Data Manager Job at Quintet Private Bank (Luxembourg)

Manager Data Science, Business Analytics & Insights

Technology impacts everything we do. Pfizer’s digital and ‘data first’ strategy ...

Location

Japan , Tokyo

Salary:

Not provided

Pfizer

Expiration Date

Until further notice

Requirements

BA/BS with at least 4 years of experience or MBA/MS with at least 2 years of experience or PhD/JD with any years of experience or associate's degree with at least 8 years of experience or high School Diploma (or Equivalent) with at least 10 years of relevant experience
Experience with infrastructure as code, automation scripts, run book workflows, frameworks
Demonstrated the successful adaptation of data quality standards in a previous work experience
Hands on experience working with DevOps tools
Experience working with machine learning products and services from leading public providers
Experience working with compliance domains
Ability to architect and design data models and solutions
Innovative with changing business requirements
Excellent verbal and written communication skills

Job Responsibility

Lead or co-lead moderately complex projects, effectively managing time and resources
Apply skills and discipline knowledge to contribute to departmental work
Resolve moderately complex problems independently, developing new options guided by policies in non-standard situations
Work independently on assignments, seeking guidance on unusual or complex problems
Review your own work and mentor others by reviewing their work
Utilize judgment and experience to potentially become a resource for others
Manage technology deliverables through planning, estimation, coordination, and execution
Collaborate with enabling functions to enhance regional Business Intelligence (BI) capabilities
Engage with business, Digital stakeholders, and partners/vendors to capture and translate key requirements into projects aligned with Pfizer's standards
Maintain strong customer engagement with key stakeholders and support teams in leveraging the knowledge graph for various tasks, while defining data quality rules and improving taxonomy change management processes

Fulltime

Data Analytics and Business Process Improvement Manager

Based in Singapore, the Data Analytics and Business Process Improvement Manager ...

Location

Singapore , Singapore

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Analytical & Process Improvement Expertise: Proven experience in data analytics and business process improvement, including mapping complex workflows, analyzing data to pinpoint inefficiencies, and identifying high-impact opportunities for efficiency gains and automation
Automation & AI Proficiency: Hands-on proficiency with modern technologies (advanced analytics tools, AI/ML solutions, and process automation platforms) to design and implement improvements and develop insightful data visualizations/dashboard reports for decision support
Collaborative Influence: Excellent collaboration and stakeholder management skills with a track record of working effectively across global product teams, technology groups, and support functions (e.g. Legal, Compliance) to drive initiatives and build consensus without direct managerial authority
Communication & Problem-Solving: Strong ability to engage with end-users (e.g. through process shadowing) to understand business needs, translate complex data findings into clear, actionable recommendations, and communicate process improvement plans to both technical and non-technical audiences
Governance & Risk Mindset: Demonstrated commitment to governance, risk management, and compliance – ensuring all proposed solutions and process changes strictly follow internal policies, control standards, and external regulatory requirements

Job Responsibility

Drive data-driven process optimization and automation across the organization
Analyze current data infrastructure and user workflows, shadow users to understand pain points, and implement modern solutions—ranging from advanced data analytics and AI tools to agentic (autonomous) automation—to streamline key processes and enhance management decision-making
Collaborate with global product owners and cross-functional teams (Technology, Legal, Compliance, etc.)
Identify, collect, extract data from various sources
Perform data cleaning, wrangling, and transformation
Develop and maintain efficient data pipelines
Design and conduct statistical and machine learning models
Develop and implement predictive models
Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science

Fulltime

Data Analytics & Digital Business / Data Modelling

Proclinical is seeking a motivated individual for a Data Analytics & Digital Bus...

Location

Germany , Munich

Salary:

Not provided

Proclinical

Expiration Date

Until further notice

Requirements

Strong skills in requirements engineering and documentation, particularly with tools like Jira
Ability to analyze data and translate findings into actionable improvement proposals
Experience in planning and coordinating UAT activities, including defect tracking and resolution
Knowledge of governance frameworks and process implementation for lifecycle management
Proficiency in workshop facilitation and design thinking methodologies
Familiarity with digital experience monitoring and AI-driven feedback systems
Excellent organizational and communication skills

Job Responsibility

Gather and document technical requirements for an employee experience reporting dashboard using Jira
Analyze qualitative and quantitative data to propose structured improvements for employee experiences
Develop mechanisms to track business impact and outcomes for the program
Plan and coordinate User Acceptance Testing (UAT), including creating test scripts and tracking technical defects
Document UAT results and verify defect resolutions before stakeholder approval
Implement governance standards for journey documentation storage and lifecycle management
Facilitate design thinking sessions and enablement workshops for journey teams, including preparation of materials and documentation of outcomes
Monitor digital experiences as a service, defining technical and analytical requirements from internal stakeholders

New

Manager, Data Analytics and Administration

The Business Administration team administers reinsurance business by reviewing a...

Location

Hong Kong , Hong Kong

Salary:

Not provided

Reinsurance Group of America

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Business Administration, Business Analysis, Information Systems, Insurance, or a related discipline
Minimum 8 years of experience in the life insurance or reinsurance industry, with a solid understanding of insurance data, policy/treaty administration, and operational processes
Proven experience in driving process improvement, automation, or digital transformation initiatives
Strong analytical and problem-solving skills, with the ability to identify operational inefficiencies and implement technology-enabled solutions
Advanced proficiency in Microsoft Excel (including PivotTables and Power Query) and data tools such as SQL and Alteryx
Hands-on experience with automation tools such as Python, VBA, Power BI, Power Automate, and Alteryx
ability to evaluate and adopt emerging technologies, including AI solutions
Strong understanding of operational controls and the ability to review and challenge business processes rather than perform routine processing activities
Self-motivated, innovative, and passionate about leveraging technology to improve operational efficiency and scalability
Proficiency in English and Cantonese is required

Job Responsibility

Lead continuous improvement initiatives to simplify, standardize, and optimize end-to-end business administration processes
Identify operational inefficiencies, control gaps, and manual activities, and develop scalable solutions to improve productivity and service quality
Drive automation and digital transformation initiatives by leveraging technologies such as workflow tools, reporting platforms, AI solutions, low-code applications, and data management tools
Partner with business and technology teams to define requirements, evaluate solutions, and implement system enhancements
Challenge existing operating models and introduce best practices to improve operational effectiveness and reduce operational risk
Develop and maintain management reporting, dashboards, and operational metrics to support data-driven decision-making
Lead operational readiness and change management activities related to new systems, automation initiatives, and process changes
Collaborate with regional and local stakeholders on strategic projects, technology initiatives, and process standardization efforts
Provide oversight and review of insurance and reinsurance administration activities performed by the team
Review and approve critical outputs, including statement processing, data validation results, reconciliations, and account settlements

Fulltime

Data & Analytics Manager

A large, complex organisation operating in a highly regulated environment is see...

Location

United Kingdom , London

Salary:

80000.00 - 90000.00 GBP / Year

Arthur Recruitment

Expiration Date

Until further notice

Requirements

Strong background in modern, cloud-based data and analytics environments
Experience designing or overseeing enterprise data platforms and analytical solutions
Good understanding of contemporary data architectures (e.g. warehouse, lakehouse, layered models)
Comfortable working alongside and challenging third-party delivery teams
Proven ability to operate as a senior technical voice without direct management responsibility
Confident communicator, able to engage credibly with both technical teams and senior business stakeholders

Job Responsibility

Act as a technical design authority across enterprise data and analytics solutions
Oversee and challenge delivery from external partners and consultancies
Translate business requirements into well-structured analytical and reporting solutions
Ensure strong design principles across data models and analytical layers, data pipelines and transformation processes, reporting and insight delivery
Promote best practices in data architecture, governance, and development standards
Bridge the gap between technical teams and senior business stakeholders
Support and evolve cloud-native data platforms and warehouse / lakehouse approaches
Contribute to strategic initiatives focused on improving data-driven decision-making

What we offer

bonus

Fulltime

Data Analytics Manager - Everyday Banking

We are seeking an experienced and strategic Analytics Manager to lead the Everyd...

Location

Spain , Barcelona

Salary:

Not provided

N26

Expiration Date

Until further notice

Requirements

5+ years of experience as an individual contributor in analytics or a related field
1+ year of experience managing people, leading a team of 3-4 data analysts
Proven track record of driving business impact through data
Deep expertise in causal inference & impact measurement (uplift modeling, quasi-experiments, counterfactuals)
Strong track record designing and scaling A/B, multivariate, and observational analyses
Ability to structure ambiguous business problems into rigorous analytical frameworks
High proficiency in SQL and Python/R
Experience leveraging LLMs and conversational interfaces for self-serve analytics
Communicates complex insights clearly using modern BI tools (Tableau, Looker, Metabase, Superset)
Confident communicator with fluency in English

Job Responsibility

Help set the right goals: define and align domain-level KPIs and OKRs
Inform product roadmap: drive analytics roadmap, proactively identify opportunities, risks, trends
Be a strategic partner: act as trusted advisor to senior stakeholders
Handle stakeholders: own relationships with senior stakeholders across Product, Marketing, Tech and Leadership
Evaluate initiatives: oversee experimentation and measurement strategy
Contribute to self-serve data platform: drive development of scalable analytics foundations
Provide monitoring tools: ensure team delivers high-quality dashboards and monitoring systems
Improve data literacy of organisation: scale data literacy across the organization
Be part of our data-community: lead collaboration across analytics teams
Guide teams in discovering new product opportunities

What we offer

Competitive personal development budget
Work from home budget
Discounts to fitness & wellness memberships
Language apps
Public transportation
Premium subscription on personal N26 bank account
Subscriptions for friends and family members
Relocation package with visa support

Fulltime

Senior Manager, Data & Analytics

We are seeking a strategic and technically strong Senior Manager, Data & Analyti...

Location

United States , Cedar Knolls

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

5+ years of experience in data analytics, preferably within agency, marketing, growth, or customer-focused environments
Bachelor's degree in Data Analytics, Business Intelligence, Data Governance, or a related field
advanced degree preferred
Proven experience integrating data from multiple sources into unified analytical models
Strong background in statistics, econometrics, applied mathematics, or related quantitative disciplines
Experience developing scoring systems, attribution models, segmentation frameworks, and other advanced analytical solutions tied to business outcomes
Ability to communicate complex analytical findings to executive and non-technical audiences
Experience balancing hands-on analytics with leadership responsibilities
prior people management experience preferred
Strong proficiency with Microsoft SQL, Power BI, Excel, and related analytics and reporting tools

Job Responsibility

Enterprise Data Strategy & Integration: Design and manage a unified data ecosystem integrating sales, marketing, CRM, web analytics, and operational data
Develop scalable data models and frameworks that provide full-funnel visibility from acquisition through retention and revenue
Establish governance, validation, and data quality standards to ensure accuracy and consistency
Advanced Analytics & Decision Science: Develop scoring models, segmentation frameworks, and prioritization methodologies to identify growth opportunities
Conduct statistical analysis, correlation studies, predictive modeling, and causal inference to uncover performance drivers
Build attribution models to measure marketing and sales effectiveness
Translate analytical findings into actionable business recommendations and strategic decision frameworks
Performance Optimization & Measurement: Create measurement frameworks spanning awareness, engagement, conversion, retention, and customer lifetime value
Identify opportunities and friction points throughout the customer journey
Define, monitor, and optimize KPIs aligned with business growth objectives

What we offer

medical benefits
vision benefits
dental benefits
life insurance
disability insurance
401(k) plan

Fulltime

Data & Analytics Manager

Your Next Opportunity Campbell Property Group (CPG), one of Australia’s leading...

Location

Australia , Norwest

Salary:

Not provided

DOMAINE HOMES

Expiration Date

Until further notice

Requirements

Demonstrated experience leading a data and analytics function or team (construction or property industry highly desirable)
5–10 years’ experience across data management, business intelligence, analytics and data engineering
Proven delivery of analytics, data platform and/or AI initiatives that produced measurable business value
Experience establishing data governance, quality and ethical-use practices
Experience as a hands-on technical leader and people manager (player-coach)
Strong knowledge of data management, governance and master data management practices
Business intelligence, analytics and data visualisation methods and tools (e.g. Power BI)
Data engineering, pipelines/ETL, data modelling and warehousing concepts
Cloud data platform strategy and delivery (e.g. Azure or AWS) spanning data storage, pipelines, analytics and AI services
Microsoft SQL Server is a core requirement

Job Responsibility

Leading CPG’s data and analytics function, turning data into reliable, governed and accessible information that enables better decisions across the Group
Accountable for data management and governance, business intelligence, advanced analytics, data engineering, and the responsible use of artificial intelligence
Owns the design, deployment and management of AI agents and automation across CPG business processes, and the data foundations that make them possible
As a hands-on player-coach leading a small but growing team, sets direction and contributes directly to delivery by building data models, pipelines, analytics and AI solutions alongside the team while developing their capability
Partners closely with the CIO, Solution Architect, application and infrastructure teams, and business leaders to ensure data is treated as a strategic asset and that analytics and AI deliver measurable business value

What we offer

Secure undercover parking
A welcome gift when you start – to make you feel at home
Competitive pay and flexible work options
A focus on your health and wellbeing – with multiple gym and health insurance discounts
Great retail deals – including travel, groceries, and more
Big savings on home builds, trades, suppliers and utilities
Ongoing learning through the CPG Academy, with mentoring and unlimited training
Opportunities to give back through our charity partners
Generous leave – including parental, volunteer, reservist and emergency services leave
Free wellbeing support for you and your family, including EAP and health coaching

Fulltime

Select Country

Business Analytics & Data Manager

Job Description

Job Responsibility

Requirements

Nice to have

Looking for more opportunities?