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Technical Business Analyst
Conagra Brands. Partner with food scientists and product developers to understand business processes, data needs, and opportunities for digital solutions .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analytics and software development, with a strong focus on building data solutions and dashboards using Python and Microsoft Power BI. Proficient in data modeling, transformation, and understanding of food science and product development.
Highest-signal resume keywords
Python ProgrammingData AnalyticsMicrosoft Power BIData ModelingFood Science Knowledge
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 TransformationData QualityStructured Query LanguageData PipelinesData Solutions DevelopmentAnalytical SolutionsBusiness AnalysisSoftware DevelopmentData EngineeringData Validation
Soft Skills
Analytical SkillsProblem-SolvingCollaborationCommunication
Tools & Technologies
PalantirDatabricksSparkDashboardsApplications
Industry Keywords
Food Product DevelopmentFormulasRecipesIngredientsBills of Materials
Tech Stack
Tools & technologiesPythonSparkSQL
About the role
Key responsibilities & impact- Partner with food scientists and product developers to understand business processes, data needs, and opportunities for digital solutions
- Build dashboards, applications, workflows, and data solutions using Python, Palantir, Databricks, Microsoft Power BI, and related technologies
- Query, clean, combine, model, and validate data from Research and Development, product development, manufacturing, and enterprise systems
- Work with product data including formulas, recipes, ingredients, specifications, bills of materials, product attributes, and costs
- Use Python and structured query language to transform data, automate processes, and develop analytical solutions
- Develop data pipelines, data models, and reusable technical components
- Test solutions, validate results, troubleshoot issues, and support implementation and user adoption
Requirements
What you’ll need- Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Engineering, Business Analytics, Food Science, or a related field, or equivalent education and relevant experience
- 3+ years experience in business analysis, data analytics, software development, data engineering, or a related technical area
- Proficiency coding in Python
- Experience with structured query language, databases, data transformation, data modeling, and data quality
- Experience building dashboards, applications, or analytical solutions using Microsoft Power BI or similar tools
- Experience translating business requirements into technical solutions and delivering solutions through implementation
- Experience with or understanding of food science, food product development, or food manufacturing, including formulas, recipes, ingredients, specifications, bills of materials, or other food product data
- Experience with Palantir, Databricks, Spark, or similar technologies
- Strong analytical, problem-solving, collaboration, and communication skills
Benefits
Comp & perks- Comprehensive healthcare plans
- Wellness incentive program
- Mental wellbeing support
- Fitness reimbursement
- Bonus incentive opportunity
- Matching 401(k)
- Stock purchase plan
- Career development opportunities
- Employee resource groups
- On-demand learning
- Tuition reimbursement
- Paid time off
- Parental leave
- Flexible work-schedules (subject to your location and role)
- Volunteer opportunities
- Relocation assistance, if applicable