Data Analytics and Business Process Improvement Manager Job at Barclays (Singapore)

Executive Director, Quality Data Analytics and Process Management

In this vital role as the Executive Director, R&D Quality Data Analytics & Proce...

Location

United States , Thousand Oaks

Salary:

241843.70 - 327200.30 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Doctorate degree and 6 years of pharmaceutical/biotech quality systems, clinical quality, R&D operations, analytics, or process management
Master's degree and 10 years of pharmaceutical/biotech quality systems, clinical quality, R&D operations, analytics, or process management
Bachelor's degree and 12 years of pharmaceutical/biotech quality systems, clinical quality, R&D operations, analytics, or process management
6 years of managerial experience directly leading people in a multi-tiered organization and/or leadership experience leading teams, projects, programs or directing the allocation of resources

Job Responsibility

Develop and execute a multi-year strategy for process management, data analytics, document management, and risk management aligned to R&D Quality priorities
Serve as a strategic advisor to the Head of R&D Quality on process performance, clinical quality trends, operational risk, and digital opportunities
Build a high-performing organization focused on innovation, simplification, and measurable business impact
Act as business process owner for core R&D Quality processes such as deviations/nonconformances, CAPA, change control, training (metrics) and risk management
Support the R&D business process owners to develop global standards, process controls, KPIs, roles/responsibilities, and governance for assigned processes
Ensure simplification, standardization, and modernization of document structures and approval workflows in partnership with Global Quality
Ensure processes are compliant with applicable GxP regulations and integrated across functional boundaries
Lead periodic process reviews, health checks, and continuous improvement initiatives related to these processes
Establish a modern analytics strategy for R&D Quality using dashboards, predictive indicators, trend analysis, and self-service reporting tools
Develop executive dashboards for quality performance, compliance health, process efficiency, inspection readiness, and risk visibility

What we offer

Comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans and bi-annual company-wide shutdowns
Flexible work models where possible

Fulltime

Business Analytics & Data Manager

Are you passionate about transforming data into actionable insights that solve b...

Location

Luxembourg , Luxembourg

Salary:

Not provided

Quintet Private Bank

Expiration Date

Until further notice

Requirements

Further professional Education (Masters / Professional qualification)
More than 5 years experience in a similar role
Strong understanding of data modeling, metadata management, and data integration.
Hands-on experience with data platforms such as Snowflake, AWS, Microsoft Azure, Databricks, or Dataiku
Strong knowledge of with data technologies like SQL, ETL tools, Apache Spark, and modern API frameworks.
Experience integrating analytics tools into business workflows and supporting AI/ML initiatives
Proven track record of supporting data-driven transformations in complex environments
Fluent in English

Job Responsibility

Contribute to the development of a data & Analytics strategy that aligns with business goals, emphasizing the creation of value through data-driven insights
Develop a deep understanding of the business, its processes, and its data needs to ensure analytics solutions align with organizational goals.
Collaborate closely with business stakeholders to translate their requirements into actionable insights, balancing BAU demands with strategic initiatives.
Communicate insights and recommendations in a clear and actionable manner, bridging the gap between technical teams and business users
Collaborate with business units to identify data needs and deliver actionable insights.
Implement analytics solutions to improve business performance and operational efficiency
Ensure business teams have access to accurate, high-quality data for decision-making.
Monitor and improve data integrity across systems and processes
Collaborate with IT and data engineering teams to develop scalable, secure, and interoperable data platforms and pipelines, while implementing best practices for data modeling, metadata management, and integration to ensure consistency and usability across structured, unstructured, and real-time data sources.
Collaborate on cloud-native solutions, leveraging platforms like Snowflake, Databricks, Dataiku, or Microsoft Fabric to ensure future-ready data capabilities.

Business Analyst - Data and Analytics

Join iamproperty and play a key role in shaping the future of data and analytics...

Location

United Kingdom , Newcastle upon Tyne

Salary:

Not provided

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Experience working as a Business Analyst, Product Owner, Delivery Co-ordinator, Analytics Delivery professional or in a similar role within a data or analytics environment
Proven experience gathering, documenting and refining business and reporting requirements for technical teams
Experience managing backlogs, stakeholder requests and prioritisation processes within Agile or iterative delivery environments
Strong stakeholder management and communication skills, with the ability to engage technical and non-technical audiences
Experience facilitating workshops, discovery sessions and requirements gathering activities
Strong organisational and prioritisation skills, with the ability to manage multiple initiatives and changing priorities
Ability to translate business problems into structured requirements and actionable delivery plans
Experience coordinating cross-functional projects involving multiple stakeholders and teams
A collaborative approach and the ability to work effectively in evolving and fast-paced environments
Experience supporting reporting, analytics, digital transformation or data-led business initiatives

Job Responsibility

Building strong relationships with stakeholders to understand business priorities, challenges and reporting requirements
Leading workshops and discovery sessions to gather, refine and document business and analytics requirements
Translating business needs into clear user stories, functional requirements and prioritised backlog items
Managing the intake, triage and prioritisation of analytics and data platform requests
Maintaining delivery roadmaps and structured backlogs aligned to business priorities and team capacity
Coordinating delivery activities across multiple business and technical teams to ensure successful outcomes
Supporting the migration from legacy reporting tools to modern analytics platforms, including Looker
Driving adoption of data products and self-service analytics capabilities across the organisation
Identifying opportunities to improve reporting processes, operational efficiency and analytics delivery practices
Supporting data governance, reporting standardisation and wider data maturity initiatives

What we offer

Enhanced flexibility and working from anywhere
Birthday off
Annual wellbeing allowance
Discounts portal
Private Counselling with a weekly confidential helpline
Simplyhealth private healthcare plan
£150 Wellbeing Allowance per year
Working elsewhere policy (4 weeks per year)
Buy and sell annual leave scheme (upto 3 days per year)

Manager, Cybersecurity - Process and Analytics

This role is critical for protecting the organization’s digital assets and infra...

Location

United States , Overland Park; Frisco

Salary:

126800.00 - 228700.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree plus 3 years of related work experience OR advanced degree with 1 year of related work experience OR combination of education and experience deemed equivalent
4-7 years implementing and managing cybersecurity operations, SOC processes, and automation capabilities in a corporate environment
3-7 years leading a team of cybersecurity professionals in a SOC or security operations environment
4-7 years developing security analytics frameworks, dashboards, and SIEM/SOAR integrations to support data-driven security operations
At least 18 years of age
Legally authorized to work in the United States

Job Responsibility

Develops and implements cybersecurity operational processes and strategies, with a specific focus on building and standardizing processes that enable threat response teams to detect, investigate, and remediate incidents effectively
Leads a team of cybersecurity professionals in enabling SOC capabilities, monitoring security operations, and enhancing detection and response protocols
Drives SOC automation and AI integration initiatives to improve detection efficacy, response workflows, and operational efficiency across the security organization
Builds and maintains security analytics frameworks and reporting capabilities to enable data-driven decision-making, threat visibility, and SOC performance measurement
Leads and manages strategic cybersecurity projects, driving timelines, multi-functional collaborator alignment, and measurable security outcomes
Participates in the on-call incident response rotation, providing leadership, coordination, and escalation support during cybersecurity incidents outside of normal business hours
Also responsible for other duties/projects as assigned by business management as needed

What we offer

Annual stock grant
employee stock purchase plan
401(k)
free money coaches
medical insurance
dental insurance
vision insurance
flexible spending account
paid time off
paid holidays

Fulltime

Data Scientist, Business Analytics and Industrial Engineering

Software Resources has an immediate, contract job opportunity for a Data Scienti...

Location

United States , Orlando

Salary:

Not provided

Software Resources

Expiration Date

Until further notice

Requirements

Must have proficiency with data mining, mathematics, machine learning, and statistical analysis
Must have experience and proficiency using machine learning platforms (e.g., AzureML), process automation platforms (e.g., MS Power Automate, etc.), application development platform (e.g., Power Apps, etc.), data querying and scripting/programming tools (e.g., SQL, Python, etc.), business intelligence/data visualization software tools (e.g., Power BI, Tableau, etc.), and statistical modeling software applications (e.g., R, etc.)
Proven strong PC skills including spreadsheets, databases, and presentation graphics software
Demonstrated leadership ability and/or previous managerial experience
Strong coaching/mentoring skills and Leadership experience in continuous improvement
Strong critical thinking and creative problem solving skills
Demonstrated superior conceptual thinking skills and the ability to work through complex problems
Capable of communicating and expressing ideas clearly and concisely, in both written and oral formats
Strong communication skills with the ability to convey complex findings to both technical and non-technical stakeholders
Ability to work collaboratively in a team environment, work in a fast-paced environment and under changing conditions

Job Responsibility

Formulate and apply advanced analytical approaches, such as causal and time series forecasting modeling, econometric methods, machine learning modeling, mathematical optimization, for complex analyses, predictions and problem-solving
Perform data and error analysis to improve models
Assist in collecting, cleaning, and organizing data
Analyze large structured and unstructured datasets to identify trends, patterns, and insights
Identify causes of variability, test new features, and integrate into code
Use business intelligence tools to create and maintain clear and compelling reporting and visualizations to communicate complex findings to technical and non-technical stakeholders
Explore new, state-of-the-art analytical tools, methodologies, and technology that can be leveraged by our team
Lead and manage interns, co-ops, Analysts, Engineers and/or Associate Data Scientists
Develop analytical and predictive models and solutions for any and all operating divisions within Destinations & Experiences (UDX) to support key decisions

What we offer

Medical, dental, and vision coverage
401(k) with company match
Short-term disability
Life insurance with AD&D

Fulltime

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

Business Intelligence and Data Management Manager

The Business Intelligence and Data Management Manager is responsible for develop...

Location

Canada , Richmond Hill

Salary:

77000.00 - 116500.00 CAD / Year

BMW

Expiration Date

Until further notice

Requirements

Computer or Data Science, Statistical Analysis, Math, IT
5+ years of data analytics work experience (monitoring, managing, manipulating, and drawing insights from data)
1-3 years of people management experience
Financial Services/Banking/Insurance or auto industry experience is strongly preferred
Skilled in relational databasing - expert SQL programming skills
Python/R an asset but not required
Expert user of data visualization software (Tableau)
Advanced computer skills in all Microsoft Office applications
Well-developed communication, collaboration, interpersonal and leadership skills with an ability to build and maintain effective relationships
Experienced managing, coaching, developing direct reports

Job Responsibility

Data Strategy: Responsible for the development and delivery of a Business Intelligence (BI) Strategy to enable efficient, accurate, and flexible reporting and analysis
Data Strategy: Build and maintain a local centre of competence with regards to a standardized business intelligence and data management process, including training and coaching on BI techniques and tools
Data Governance: Drive the local Data Governance framework with a focus on organizational access, proper data usage and approval documentation
alignment with other local and regional standards
Data Governance: Responsible for defining and developing guidelines for Data Management and Governance in the business context (roles, standards, etc.) considering the requirements regarding information security and data protection and the overarching DTO-guidelines towards the Data Transformation Office
Data Management: Responsible, as owner of a business object, for the data quality, provision, linking and availability of data in the technical context towards the Data Transformation Office
Data Management: Responsible for identifying, prioritizing, and realizing potentials from the data in the technical context towards the Data Transformation Office
AI Strategy: Develop and oversee the organization's AI strategy, establish governance frameworks, and ensure the responsible deployment of AI models in alignment with business objectives
Process Innovation: Drive innovation by bringing best practices for AI, automation and data analytics, bring external ideas into the company, driving the departments
AI Implementation: Collaborate with cross-functional teams to identify opportunities for AI-driven insights and automation and ensure the responsible deployment of AI models, including monitoring for bias, fairness, and transparency

What we offer

An award-winning culture
Cutting edge innovation and creativity
Incredible BMW, MINI and Motorrad employee vehicle/motorcycle programs
Flexible working models
Highly competitive compensation
Performance incentives programs
First-rate health and wellness benefits
Education reimbursement
World-class office space
Fresh & nutritious meals in our amazing fully staffed, and subsidized, onsite cafeteria

Fulltime

Manager of Business Development and Operational Analytics

As a core member of PM Hotel Group’s Business Development team, the Manager | Fe...

Location

United States , Chevy Chase Village

Salary:

90000.00 - 125000.00 USD / Year

PM Hotel Group

Expiration Date

Until further notice

Requirements

Bachelor’s degree required with a degree in Finance, Hospitality Management, Business Analytics, or a related field strongly preferred
3 to 6 years of progressive experience in hotel feasibility, finance, or revenue/operations strategy with a solid understanding of hotel operations and performance metrics
Demonstrated experience working directly with senior executives, ownership groups, and brand partners within the hospitality industry
Proven ability to analyze and interpret data to drive operational and financial improvement across multiple properties
Proficiency in Power BI strongly preferred (data modeling, DAX, Power Query, dashboard design)
Strong financial modeling and underwriting skills, with the ability to connect market, operational, and financial insights
Exceptional communication and presentation skills, capable of translating complex analyses into clear, actionable recommendations for non-technical audiences
Strong leadership and team management abilities, with experience mentoring analysts and fostering cross-departmental collaboration
Highly organized, detail-oriented, and able to manage multiple priorities in a fast-paced, deadline-driven environment
Job requires working nights and weekends when necessary

Job Responsibility

Lead market research, feasibility, and underwriting efforts for third-party management opportunities
Develop institutional-grade deliverables, including management proposals, pro formas, strategic memoranda, and presentations
Maintain the development pipeline, collaborate on deal strategy, participate in weekly pipeline discussions, and guide analysts
Synthesize competitive data, macroeconomic trends, and transaction activity into actionable insights
Support relationship development with brokers, owners, lenders, and brand representatives
Build and maintain Power BI dashboards that integrate PMS, POS, STR, HotStats, labor, and internal benchmarks
Design data models and visualization tools that assess RevPAR, ADR, occupancy, GOP, staffing productivity, guest satisfaction, profitability, and other core KPIs
Partner with Operations, Revenue Management, and Finance teams to identify performance opportunities
Integrate operational intelligence into underwriting practices to improve forecast accuracy, deal selectivity, and risk assessment metrics
Lead ad-hoc analytical projects requiring cross-departmental collaboration

Fulltime

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Data Analytics and Business Process Improvement Manager

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