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Senior Analyst – Statistics
General Mills. Create impactful analytics and visualization deliverables .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing AI/ML solutions within Business Intelligence, utilizing advanced data visualization tools and cloud platforms to deliver impactful analytics and insights. Strong ability to collaborate with cross-functional teams while independently managing complex projects and ensuring data quality and governance.
Highest-signal resume keywords
AI/ML Solution DevelopmentData Visualization ToolsSQL/BigQuery ExpertiseGoogle Cloud Platform (GCP)Power BI Certification
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data HarmonizationData ModelingData IntegrationAnalytics Solution DevelopmentSQL Query WritingPython ProgrammingAI/ML LibrariesLookMLQuality AssuranceDocumentation
Soft Skills
Creative Problem-SolvingAttention to DetailClear CommunicationCollaborationJudgment with Confidential Data
Tools & Technologies
Power BITableauLookerGoogle Cloud Platform (GCP)SQL ServerAdvanced ExcelBigQuery
Certifications & Qualifications
Power BI CertificationTableau CertificationLooker CertificationSQL CertificationCloud Analytics Certification
Industry Keywords
Business IntelligenceAnalyticsData ExperienceAI-Enabled InsightsSelf-Service Analytics
Tech Stack
Tools & technologiesBigQueryCloudGoogle Cloud PlatformPythonPyTorchScikit-LearnSQLTableauTensorflow
About the role
Key responsibilities & impact- Create impactful analytics and visualization deliverables
- Independently lead complex BI and AI-enabled analytics projects
- Translate business questions into scalable insight products, decision-support solutions, and trusted data experiences for ITQ stakeholders
- Perform consulting, data harmonization, visualization, AI-enabled insight generation, quality assurance, and documentation
- Build trusted, governed BI sources and enhance existing dashboards
- Build and enhance self-service analytics capabilities using enterprise BI technologies
- Extract, transform, harmonize, model, visualize, and integrate data into scalable analytics solutions
- Develop reusable data models, reporting frameworks, standards, and best practices
- Design, develop, and deploy AI-enabled business intelligence solutions, including conversational analytics, automated insights, smart alerts, guided exploration, and interactive dashboards
- Conduct testing, validation, quality assurance, and documentation
- Communicate analytical insights and recommendations
- Partner with data engineering, product, and business stakeholders to identify high-value BI opportunities
- Use SQL, Python, cloud data platforms, and AI/ML to improve performance, scalability, and automation
- Design and deploy AI/ML solutions using relational databases, dimensional modeling, semantic layers such as LookML, and modern BI platforms
- Integrate multiple data systems and sources to deliver trusted, business-ready insights
- Identify emerging BI, analytics, generative AI, and data-experience capabilities and apply them to ITQ use cases
- Guide and mentor team members in BI solution development
- Work a 9:00 a.m. to 6:00 p.m. shift
Requirements
What you’ll need- Master’s in IT, Computer Science, Statistics, Mathematics, Analytics, or Data Science
- Minimum 5 years of related experience
- At least 2–3 years specifically focused on designing, developing, and implementing AI/ML solutions within a Business Intelligence context
- Strong working experience with data visualization tools such as Power BI, Tableau, or Looker
- Expertise in SQL/BigQuery query writing and visualization best practices
- Proficiency in Google Cloud Platform (GCP), Advanced Excel, Tableau, and SQL Server
- Expertise in Python with relevant AI/ML libraries such as scikit-learn, TensorFlow, PyTorch, NLTK, or SpaCy is a plus
- Experience in LookML is a plus
- Ability to collaborate with global, cross-functional teams while working independently
- Ability to prioritize multiple projects and drive tasks to completion with attention to detail
- Ability to communicate complex technical information clearly
- Ability to exercise sound judgment with confidential and proprietary data
- Creative problem-solving skills
- Professional certifications in Power BI, Tableau, Looker, SQL, or cloud analytics are preferred
- Applicants must meet minimum age qualifications in the country in which the job is located
Benefits
Comp & perks- Hybrid work arrangement
- Opportunity to expand learning, explore new perspectives, and reimagine possibilities
- Mentorship and team development opportunities