Senior Data Analyst

This role will primarily focus on data management and strategic business activit...

Location

United States , New York

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Proficiency in Planning, Research, Review, and Project Management
Experience in Consulting and Data Analysis
Strong knowledge of SQL and familiarity with other data management systems
Excellent communication skills to liaise with stakeholders
Knowledge of Best Practices in the field of Data Analysis
Proven track record of Process Improvement
A degree in Computer Sciences or a related field is preferred
Experience with JIRA and Confluence
Ability to prepare Business Requirement Documents
Creativity in solving complex data problems

Job Responsibility

Conduct comprehensive data analysis for both projects and ongoing data quality initiatives
Create datasets from a diverse range of sources to enhance data management initiatives and processes
Execute data mining on extensive datasets to augment data management quality improvement initiatives
Consult with business stakeholders to document business requirements in order to cater to client needs
Develop and recommend business solutions through thorough research and data analysis
Utilize creativity and process improvement skills to improve existing processes and create new ones in accordance with data governance best practices
Present reports comprising analysis and interpretation for business review and planning
Implement Data Management lifecycle toolsets
Work with various project management methodologies including Scrum, Kanban, Waterfall, SAFe
Use project management organizational or visualization tools such as Jira, Confluence, Microsoft Project, Asana, Monday.com, Trello, SmartSheet, Wrike, or Rally

What we offer

Medical, vision, dental, and life and disability insurance
Eligibility to enroll in company 401(k) plan

Fulltime

Senior Data Analyst

Senior Data Analyst – Front Office – Trading. Orbis are partnering with a global...

Location

United Kingdom , London

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

6+ years’ experience in Data Operations, Data Engineering, or similar, ideally in with a Data Provider or Trading firm
Excellent Python skills (Pandas, NumPy), SQL
Excellent ETL experience managing the full end-to-end process from Data Ingestion through to Data Publishing and maintenance of data pipelines

Job Responsibility

Design, build, and optimise data pipelines and market data platforms in Python for scalable, high-performance analytics
Manage end-to-end data ingestion (ETL), transformation, and quality control, ensuring data accuracy and reliability
Collaborate with traders, quants, and data scientists to translate commercial needs into robust technical data solutions
Oversee operational stability — developing monitoring tools, automations, and runbooks to ensure resilient data operations

Senior HR Data Analyst

The Senior HR Data Analyst serves as the cornerstone of data integrity and manag...

Location

India , Hyderabad

Salary:

Not provided

ADB Safegate

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Human Resources, Data Science, Information Technology, or a related field
a Master’s degree is a plus
Proven experience (minimum of 5 years) in data analysis, specifically within an HR context, demonstrating a deep understanding of HR processes and data systems
Advanced proficiency in data analytics tools (e.g., PowerBI, etc.) and HR Information Systems (HRIS) software. SuccessFactors experience is an advantage
Strong excel knowledge
Strong knowledge of data governance practices, data quality management, and data protection laws and regulations
Exceptional analytical and problem-solving skills, with the ability to translate complex data into actionable insights
Excellent communication and interpersonal skills, capable of working collaboratively across departments and presenting data in a clear, understandable manner

Job Responsibility

Strategic HR Data Management: Manage the implementation of process/system improvement plans, including testing phases, governance and documentation
STIP (Short Term Incentive Plan):Support monthly calculations for STIP accruals. Validate final calculations with the senior leadership team (SLT) and the Excom, ensure transparency and understanding through detailed presentations. Produce letters
Merit Administration: Design and provide user-friendly calculation templates, consolidate complex data from multiple regions for Excom approval, overseeing the smooth running of merit assessment. Letter Production
SuccessFactors and System Management: Act as a principal user and manager of SuccessFactors (including interactions with other systems like Concur). Oversee mass uploads, system maintenance tasks, ensure LinkedIn Learning and ServiceNow are operational and up to date
Data Reporting and Analysis: Strategically report and analyze data from SuccessFactors. This includes but is not limited to headcount, budget, merit, organizational design changes, and performance management
HR Scorecard Reporting: Lead in the production of regular HR Scorecard reporting, developing HR KPIs that provide strategic insights for business decision making
Performance Management: Oversee reporting on performance status, launch forms, and reminders. Use data insights to guide performance management strategies
HR Audits Support: Conduct and support HR audits via comprehensive data reporting whilst maintaining rigor in data management protocols
Exchange Rate Currency: Manage monthly updates of exchange rates applicable to global operations
Budget Ownership: In partnership with leadership, lead the budgeting exercise

What we offer

A dynamic and challenging environment that encourages growth and learning
Opportunities for professional development and career advancement in an internationally operating company
A collaborative culture that values innovation, integrity, and inclusivity
Attractive compensation and comprehensive employee benefits

Liquidity Data Management Senior Analyst

The Liquidity Data Management Senior Analyst supports implementation of data gov...

Location

Philippines , Taguig City

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

5+ years of relevant experience in banking or financial services
Demonstrable experience in data governance, operational risk and controls
Basic understanding of data governance principles, data quality management, and data lineage
Excellent communication, collaboration, and problem-solving skills
Familiarity with data management tools (e.g. Collibra) and technologies
Knowledge of relevant regulations and industry standards (e.g., BCBS 239)
Familiarity with SQL, data analysis tools (e.g., Python, R) and data visualization tools (e.g., Tableau, Power BI)
Highly proactive and results-oriented with a strong bias for action and innovation
Curiosity to learn new data management concepts, technologies, and methodologies
Demonstrated commitment to operational excellence and process improvement

Job Responsibility

Help create and maintain an enterprise data catalogue with required metadata, data domain mapping, and lineage
Support Data Manager in documenting and fulfilling Data Consumer requirements for accuracy, completeness, and timeliness of critical data elements
Support execution of data quality and governance activities including resolution of Data Exceptions and remediation of Data Concerns
Support Data Manager and Technology Owner in designing controls to mitigate key data-related risks
Ensure data management activities comply with Enterprise Risk Management Framework and Operational Risk Management Policy
Assist in production of metrics and key performance indicators for Liquidity Data Domain

What we offer

Access to telehealth options, health advocates, confidential counseling
Expanded Paid Parental Leave Policy
Resources to manage financial well-being and plan for future
Access to learning and development resources
Generous paid time off packages
Resources and tools to volunteer in communities

Fulltime

Senior Business and Data Analyst

Join HSBC's Group AI function to support the development of Generative AI produc...

Location

Poland

Salary:

Not provided

HSBC

Expiration Date

February 25, 2026

Requirements

Strategic thinker with exceptional attention to detail
Strong problem-solving skills to provide data-driven output
Ability to navigate and interpret intricate datasets
Demonstrable expertise in utilising Excel and other data analysis tools
Experience in report generation and creation of presentations from complex technical data
Comprehensive understanding of AI technologies and their practical applications within business environments
High ethical standards and awareness of ethical considerations of Generative AI implementation
Strong organisational skills to manage AI events and engagements
Exceptional interpersonal and communication skills
Proactive attitude, self-motivated, goal-oriented

Job Responsibility

Data Analysis for AI Insights: Gather information from various sources and provide analysis to derive insights regarding AI utilisation and its contribution to business value
MI Report Development and Maintenance: Develop and sustain detailed reports to effectively monitor AI performance and ensure responsible AI
Trend Identification and Strategic Support: Identify trends and patterns within data to support informed strategic decision-making processes
Collaboration with AI Engineers: Collaborate with AI engineers to develop requirements for new AI features
Presentation and Communication: Create compelling presentations and communications that communicate data about AI performance and adoption
Continuous Learning and Innovation: Stay informed about the latest developments in AI and other emerging technology advancements relevant to the financial services sector

What we offer

Annual performance-based bonus
Additional bonuses for recognition awards
Multisport card
Private medical care
Life insurance
One-time reimbursement of home office set-up (up to 800 PLN)
Corporate parties & events
CSR initiatives
Nursery discounts
Financial support with trainings and education

Fulltime

Senior Business Data Analyst

This role is within enterprise data office and product solution team; focused on...

Location

Canada , Mississauga

Salary:

111600.00 - 161600.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

6+ years of combined experience in banking and financial services industry, information technology and/or data controls and governance
Preferably Engineering Graduate with Post Graduation in Finance
Extensive experience in the capital markets business and processes
Deep understanding of Derivative products (i.e., Equities, FX, IRS, Commodities etc.)
Strong Data analysis skills using Excel, SQL, Python, Pyspark etc.
Experience with data management processes and tools and applications, including process mapping and lineage toolsets
Actively managed various aspects of data initiatives including analysis, planning, execution, and day-to-day production management
Strong knowledge of structured/unstructured databases, data modeling, data management, rapid / iterative development methodologies and data governance tools
Strong understanding of data governance issues, policies, regulatory requirements, and industry information affecting the business environment
Demonstrated stakeholder management skills

Job Responsibility

Engage with Markets, Risk, Finance, Tech, Client org, and Data Engineering Teams to gather requirements, understand application processing, identify gaps and design systematic solution for business needs
Understand Derivatives data flows within CITI for Equities, FX, IRS, Fixed Income, Commodities etc.
Data analysis for derivatives products across systems for target state adoption and resolution of data gaps/issues
Lead assessment of end-to-end data flows for all data elements used in Regulatory Reports
Document current and target states data mapping and produce gap assessment
Coordinate with the business for identifying critical data elements, defining standards and quality expectations, and prioritize remediation of data issues
Identify appropriate strategic source for critical data elements
Design and Implement data governance controls including data quality rules and data reconciliation
Design systematic solution for elimination of manual processes/adjustments and remediation of tactical solutions
Prepare detailed requirement specifications containing calculations, data transformations and aggregation logic

Fulltime