BI Analyst with our direct client in San Francisco CA. Hybrid role

Infobahn Softworld

Full-time - Mid Level

Professional, Scientific, and Technical Services

About the position

The Business Intelligence Analyst will join the Digital Experience Analytics team, focusing on providing actionable insights to enhance the digital customer experience. This role involves deep-dive analysis of customer support content effectiveness and collaboration with Product Managers to refine success measures, ultimately fostering a data-driven culture within the organization.

Responsibilities

• Perform deep dive analyses to understand trends, anomalies, and insights that will highlight customer pain points and help drive operational improvements.
• Analyze and measure the effectiveness of customer support content on the website and AI-driven chat-bot.
• Translate business objectives into functional data requirements and balance them with technical feasibility.
• Craft data stories through presentations, written summaries, and data visualizations that accurately outline problem statements and provide actionable and unbiased intelligence and recommendations.
• Communicate findings from initiatives with clarity and accountability to the broader organization/stakeholders.
• Proactively manage and set stakeholder expectations on project roadmaps, resourcing, timelines, and deliverables.
• Clearly document provenance of data, ETL logic, and code used to develop models.
• Proactively identify areas in which analytics efforts can answer business questions, drive operational improvements, and business value.
• Spearhead the development of insight-driven tools & dashboards and provide ongoing support regarding functionality and data-integrity.

Requirements

• Bachelor's degree in a quantitative field (e.g. Economics, Statistics, Mathematics, Analytics or related).
• 3+ years in a business analytics role.
• Advanced knowledge of SQL or other programming languages.
• Experience with PowerBI and Snowflake.
• Advanced experience with Microsoft Excel (pivot tables, advanced modeling, creating visualizations).
• Experience with web analytics tools such as Adobe Analytics.

Nice-to-haves

• Experience with setting up automated reporting pipeline and ETL process.
• Experience working cross-functionally with UX/UI designers, researchers, or product managers and consolidating qualitative and quantitative insights.
• Passionate and data-curious with ability to identify pain points and tell cohesive data stories to identify pain points and recommend improvements.
• Eagerness to take on new challenges, learn new skills, and think creatively.
• Strong problem-solving skills and sharp business judgment.
• Detail-oriented, ensuring data accuracy and consistency.
• Exceptional communication skills, attentive listener, and highly collaborative.