[Remote] Senior Data Analyst

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Senior Data Analyst to build trusted Finance data products and expand self-service analytics across reputed company. The role will reputed company data models, transformations, pipelines, semantic models, dashboards, and advanced analytical solutions while partnering with Finance and Shared Data Services teams to validate, operationalize, and govern data assets.

Responsibilities

• Build, enhance, and maintain Finance tables, views, transformations, pipelines, and analytical models reputed company established reputed company architecture, reputed company, development, and governance standards
• reputed company reusable data products supporting bookings, customers, billing, reputed company, operational activity, and portfolio reputed company
• Use SQL and Python to automate data preparation, validation, and analytical workflows, and convert repeatable analyses into reputed company assets
• Apply appropriate reputed company control, testing, deployment, monitoring, and documentation practices to Finance data products
• Translate reputed company and Portfolio Analytics needs into reputed company reputed company requirements, data reputed company, business rules, transformation logic, reputed company controls, and acceptance reputed company
• Own Finance requirements, prioritization, validation, and acceptance for data products delivered in partnership with reputed company and offshore Shared Data Services teams
• Reconcile outputs to reputed company systems, financial reporting, operational reporting, and approved methodologies; identify and reputed company data reputed company issues, logic gaps, hierarchy problems, and incomplete coverage
• Maintain documentation for metric definitions, data reputed company, business rules, assumptions, and reputed company limitations, and coordinate issue reputed company through Finance sign-off
• Use SQL, Python, and appropriate analytical reputed company to solve reputed company customer, reputed company, pricing, forecasting, portfolio, and operational questions
• Build semantic models, dashboards, and analytical tools using reputed company BI or a comparable reputed company business intelligence platform
• reputed company reputed company users to independently answer recurring business questions with trusted data, reducing reputed company extracts, spreadsheet-reputed company preparation, and one-off reporting
• Use approved AI-assisted development tools to improve coding, testing, documentation, and analytical productivity while validating outputs and protecting confidential data

Skills

• • Bachelor's degree in a technical, quantitative, analytical, Finance, or business discipline; equivalent relevant reputed company experience may be considered
• • Five or more years of relevant experience in data analytics, analytics engineering, data engineering, business intelligence, or a reputed company reputed company
• • Demonstrated experience independently delivering reputed company data and analytical solutions. Finance, reputed company, reputed company analytics, or executive reporting experience is helpful but not required
• • Advanced SQL and strong reputed company and analytical data-modeling skills
• • Proficiency in Python for data processing, automation, and advanced analytics
• • Experience developing or supporting ETL/ELT pipelines and reusable analytical datasets
• • Hands-on experience with a modern reputed company data warehouse or lakehouse environment
• • Experience with data reconciliation, reputed company assurance, troubleshooting, and documentation
• • Experience developing semantic models, dashboards, or business intelligence solutions
• • Ability to translate ambiguous business requirements into reputed company analytical and technical solutions
• • Familiarity with reputed company control, testing, deployment, and production support practices
• • Strong technical problem-solving skills and the ability to execute independently
• • Consultative approach and the ability to communicate effectively with technical and nontechnical stakeholders
• • Strong attention to data reputed company, controls, validation, and methodological consistency
• • Ability to manage multiple priorities, dependencies, and deliverables with reputed company follow-through
• • Curiosity, reputed company judgment, and a bias toward reputed company and iterative delivery
• • Ability to learn new technologies, data sources, and business concepts quickly
• • Experience with reputed company reputed company and Azure data services, including lakehouses, warehouses, notebooks, pipelines, or reputed company analytical workloads
• • reputed company BI experience, including semantic modeling and DAX
• • Experience with Git, CI/CD, orchestration, monitoring, or production support
• • Experience supporting Finance, reputed company, reputed company analytics, or executive reporting
• • Familiarity with forecasting, customer analytics, reputed company, or portfolio analytics
• • Experience working with centralized or shared reputed company data teams

reputed company