Senior Business Data Analyst

Role Description

Client is looking for Senior Business Analyst to support Data Democratization initiatives, and this is a remote position working with US CST Hours.

• Work with business stakeholders to elicit, analyze, and document data, reporting, and analytics requirements across multiple business domains.
• Analyze existing reports, dashboards, and datasets to identify gaps, redundancies, data quality issues, and opportunities for standardization or decommissioning.
• Translate business requirements into well-defined user stories and acceptance criteria in Azure DevOps.
• Partner closely with Data Engineers and Data Analysts to ensure business requirements are correctly implemented in data pipelines, semantic models, and reporting layers.
• Support data validation and reconciliation activities by reviewing source-to-target mappings and business rules.
• Coordinate and support User Acceptance Testing (UAT), ensuring stakeholder validation and approval prior to production deployment.
• Document business definitions, KPIs, and data logic used in downstream reporting and analytics solutions.
• Participate in Agile ceremonies including backlog refinement, sprint planning, reviews, and retrospectives.
• As part of the Data Products team, help deliver accurate, complete, and timely data products that meet business needs.
• Support initiatives related to Data Democratization, including self-service analytics enablement and data literacy efforts.
• Deliver on predefined individual and team goals with a focus on quality and stakeholder satisfaction.

Qualifications

• 5+ years' experience working in enterprise data, reporting, analytics, or business analyst roles.
• Experience in Data Analysis for Data & Reporting products.
• Strong hands-on data analysis skills using Python, SQL, Databricks, and Power BI.
• Strong quantitative, analytical, and interpretive skills.
• Experience with Oracle, Salesforce data schemas; ability to map data flows from source systems to Databricks.
• Practical experience working in Agile/Scrum environments.
• Ability to multi-task and work in a team environment, while following a flexible schedule to meet deadlines.
• Able to present clearly and persuasively, listen and solicit clarification, and respond articulately to questions.
• Follows policies and procedures and supports the organization's goals and values.
• Can coordinate multiple parallel initiatives, communicate changes and progress, and complete deliverables on time and within budget.
• Ability to interpret a variety of instructions furnished in mathematical, written, oral, diagram, or schedule form.
• Working knowledge of Databricks/Snowflake administration/architecture and capabilities.
• Ability to query and display large datasets while maximizing the performance of the workbook.
• Ability to interpret technical or dashboard structure and translate complex business requirements to technical specifications.
• Work with business stakeholders to create valuable reports and dashboards that provide insight, improve/automate processes, or add value to the team.
• High-level competency in Excel (Vlookup, pivot tables, etc.).
• Understanding of advanced calculations and statistical functions.
• A solid understanding of SQL, relational database management systems, data modeling, and normalization.
• Strong communication skills and attention to detail and accuracy.
• Prior experience in Data Engineering and/or Data Science.
• Familiarity or experience with Atlan and/or Sigma Computing tools is a plus.