Sr Business Data Analyst

As a Senior Business Data Analyst for Data & Analytics, you will be accountable for the end-to-end design and delivery of complex data solutions ensuring their quality, reliability, and performance. This role requires strong collaboration cross-functionally with business stakeholders (Sales, Marketing, Relationship Management, Finance, Services, HR and Legal), Solution Managers, Data Scientists, Software Engineers and other team members to drive impactful results and accelerate our companys growth.

The right individual will put our customers first, be curious, open-minded, resourceful, collaborative, proactive, a critical analytical thinker, and be relentless in pursuit of desired outcomes.

Responsibilities:

Business Understanding: Deeply understand our business, systems, and data to develop solutions that solve complex business problems, meet stakeholder needs and accelerate their path to value.

Stakeholder Relationships and Management: Build strong relationships with internal stakeholders to understand their business objectives and pain points fostering collaborative partnerships across the business. Provide clear communication to team members and business stakeholders related to requirements, issues, and solution delivery. Own and lead UAT sessions as well as business demos of new features and stories.

Solution Development: Own the end-to-end technical design and development of scalable, reliable, and maintainable data & analytic solutions such as reports, metrics, scorecards, dashboards, KPIs, and self-service datasets that are widely adopted and drive action across the business.

User Story Development: Transform business requirements into detailed functional and technical requirements and document user stories following best practices. This includes writing clear acceptance criteria and definition of done for each story.

Agile Practices: Work collaboratively as part of a scrum team and use Agile methodology to build and deliver solutions, ensuring efficient and effective development cycles.

Collaboration: Collaborate with Business Stakeholders, Software Engineers, Data Scientists, Architects, Technical Project Managers, Enablement, and other Solution Engineers to execute various strategic programs.

Mentorship: Provide technical mentorship and guidance to junior business data analysts, fostering a culture of learning and growth mindset.

Documentation and Knowledge Sharing: Document features, enhancements, and fixes thoroughly, contributing to training materials and knowledge transfer across teams. Promote proper interpretation of data and analytics results to educate and support self-service business intelligence.

Quality Assurance and Testing: Build testable analytic solutions, define and execute test cases, provide solution demonstrations, and lead user testing sessions and black box testing, when applicable, that result in user acceptance.

Opportunity Identification: Identify new opportunities and communicate recommendations to improve feature adoption, increase revenue, decrease costs, and/or mitigate risks across the business.

Innovation: Be a thought leader and stay current with emerging technologies (ex. Generative AI) and industry trends, advocating for their adoption where appropriate to drive innovation and productivity enhancements within Digital and across the business.

Success Metrics: Create success metrics and establish measurement processes to track benefits on project work.

Basic Qualifications:

Experience: 5+ years of data analytics work experience.

Business Acumen: Strong business acumen with 3+ years of business experience in a large corporate environment.

Technical Skills: Advanced SQL skills with 3+ years of experience in SQL and Relational Database systems; ability to write queries against large data warehouses (such as Google BigQuery, Microsoft Azure, Oracle) and understand efficient aggregation and display principles.

BI Proficiency: Advanced proficiency with BI platforms (Power BI, Tableau, etc.) with 3+ years of report building and analysis.

Analytical Skills: Proven analytical and problem-solving skills; process-oriented and metrics-driven.

Data Visualization: Advanced knowledge of data visualization techniques.

Preferred Qualifications:

Business Analysis: Prior experience as a Business Analyst.

Cloud Technologies: Experience with Cloud technologies (Azure and Google Cloud).

Enterprise Applications: Understanding of various enterprise applications (e.g., ERP, CRM, HRIS) and the ability to leverage these systems effectively to deliver robust data solutions.

Data Product Development: Proven expertise in developing data products for cross-functional teams to self-serve insights.

Software Development: Familiarity with software development practices, including code reviews, testing, and DevOps.

Communication: Excellent verbal and written communication skills with the ability to interact professionally with a diverse group of executives, managers, and subject matter experts.

Teamwork: Works effectively within a team, under pressure and tight deadlines, while being well-organized.

Adaptability: Flexible and adaptive to change, open-minded, curious, resourceful, and has a positive attitude.