Senior Business Data Analyst

Job Summary:

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

US CST Time Zone

Responsibilities:

• 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

Experience:

• 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 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