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Senior Business Insights Analyst
2 months ago
The Decision Analytics team is responsible for generating insights that address critical enterprise inquiries regarding budget allocations, strategic priorities, and significant operational decisions. Our analysts develop analytical frameworks by pinpointing the appropriate metrics that yield consistent and impactful insights, ultimately driving business performance. Proficient in advanced analytics and various analytical tools and programming languages such as GCP Big Query, Python, R, SQL, Jupyter Notebook, Adobe Analytics, and Tableau, our associates focus primarily on internal business intelligence. They possess the necessary domain knowledge to comprehend the business operations they analyze.
Key Responsibilities:
- 65% - Data Analysis - Evaluate extensive datasets and utilize analytical tools to generate new dashboards, reports, and fulfill additional ad-hoc requests, employing a diverse range of database applications and analytical languages including GCP BigQuery, SQL, SAS, R, Python, Jupyter Notebook, Adobe Analytics, and Tableau.
- 10% - Data Management - Collaborate with fellow analysts to identify new data sources; ensure data quality through cleansing, validation, and testing.
- 5% - Project Support - Assist end users, troubleshoot issues, and provide problem-solving support.
- 15% - Solution Development - Work with stakeholders, business partners, and technical teams to deliver high-quality analytical solutions.
- 5% - Technical Development - Enhance technical skills and subject matter expertise within the functional group, including system and procedural improvements.
- This position reports to the Manager.
- This role does not have any direct reports.
- No travel is required.
- Most of the time is spent in a seated position with frequent opportunities to move around. Occasionally, there may be a need to lift light items.
- Work is conducted in a comfortable indoor setting, with infrequent exposure to unpleasant conditions.
- Must be at least 18 years old.
- Must have legal authorization to work in the United States.
- Master's degree in a quantitative discipline (Statistics, Analytics, Computer Science, etc.) or equivalent professional experience.
- 6+ years of experience in data mining, statistical analysis, auditing, or forecasting.
- Proven expertise in data analysis and visualization.
- Ability to translate analytical findings into effective presentations.
- Experience using data analysis to uncover key insights that address business challenges.
- Proficiency in various database applications and analytical tools, including SQL, SAS, Tableau, R, Python, Teradata, Oracle, and similar technologies.
- Familiarity with Microsoft Excel and PowerPoint.
- Ability to manage requests and develop insights for online merchandising, marketing, and ELT teams.
- Experience in conducting deep statistical analyses for predictive insights.
- Capability to collaborate with teams to establish KPI frameworks.
- Proficiency in coding with Python, R, SQL, Jupyter Notebook, VertexAI, and AutoML.
- Ability to visualize data effectively using Tableau.
- Experience managing multiple projects in a dynamic environment.
- Strong critical thinking skills to evaluate alternative solutions and anticipate implications of new information.
- Excellent written and verbal communication skills, with a track record of simplifying complex results for diverse audiences.
- Strong interpersonal skills and the ability to work collaboratively in a team setting.
- Quick adaptability to new technologies, tools, and methodologies.
- A bachelor's degree or equivalent in a relevant field of study.
- A master's degree or equivalent in a relevant field of study.
- 5 years.
- 6 years.
- No prior leadership experience required.
- No certifications required.
- Action Oriented
- Collaborative
- Engagement Driven
- Effective Communication
- Customer Focused
- Results Driven
- Conflict Management