Jobs
Required skills
Tableau
Job Purpose and Impact:
The Data & Analytics Reporting Supervisor is responsible for leading the design, development, and optimization of enterprise dashboards that deliver actionable insights across the organization. This role oversees the end-to-end dashboard lifecycle-from requirements gathering and data integration to visualization and user adoption. The Supervisor ensures dashboards are aligned with business goals, technically sound, and user-friendly. In addition to hands-on development, this role includes managerial responsibilities such as guiding a team of BI developers and analysts, setting performance goals, and fostering a culture of innovation and data-driven decision-making.
Key Accountabilities
Dashboard and Report Development
- Lead the design, development, and deployment of interactive dashboards and reports using tools like Power BI, Tableau, or similar platforms.
- Ensure visualizations are intuitive, accurate, and aligned with business needs.
Data Governance and Quality
- Oversee data validation and quality assurance processes to ensure accuracy, consistency, and reliability of reporting outputs.
- Collaborate with data governance teams to maintain compliance with internal standards and external regulations.
Stakeholder Engagement
- Work closely with business units to understand reporting requirements and translate them into technical solutions.
- Communicate insights and reporting outcomes effectively to stakeholders at all levels.
Team Leadership and Development
- Manage and mentor a team of reporting analysts and BI developers.
- Set performance goals, conduct regular reviews, and support professional development.
Project and Program Management
- Oversee reporting initiatives and ensure timely delivery of dashboards and analytics products.
- Establish and maintain reporting cadences and governance frameworks.
Process Optimization
- Identify opportunities to automate reporting processes and improve efficiency.
- Implement best practices for data visualization, storytelling, and user experience.
Strategic Contribution
- Contribute to the organization's data strategy by identifying trends, gaps, and opportunities through reporting insights.
- Support decision-making with data-driven recommendations.
Ownership and Stewardship
- Serve as the primary point of contact for assigned data models.
- Ensure alignment of data models with business requirements and enterprise data standards.
- Maintain comprehensive documentation and metadata for all data models.
Training and Advocacy
- Promote understanding and proper use of data across the organization.
- Provide training and guidance to users and stakeholders as required
Qualifications:
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Bachelor's degree in Computer Science, Information Systems, Data Science, or related field.
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10+ years of experience in product management, product/ data modeling, or related roles.
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Strong understanding of data governance, requirements gathering, compliance, and .
-
Excellent communication and stakeholder management skills.
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Experience with data modeling tools and metadata management platforms.
-
Preferred Qualifications
-
Experience in design and development of technology products
-
Experience in managing teams / people
-
Familiarity with Agile methodologies and project management practices.
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Certification in data visualization, governance, reporting or data management (e.g., DAMA, CDMP, Power BI Data Analyst, CompTIA Data+).
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About Cargill

Cargill
PublicMultinational food company.
10,001+
Employees
Minnetonka
Headquarters
Reviews
3.3
10 reviews
Work-life balance
3.5
Compensation
3.2
Culture
3.8
Career
3.5
Management
2.8
65%
Recommend to a friend
Pros
Good corporate culture and safety emphasis
Good benefits and compensation
Good work-life balance
Cons
Management issues and high turnover
Non-competitive salary
High stress and overwhelming expectations
Salary Ranges
267 data points
Junior/L3
L2
L3
L4
L5
L6
Mid/L4
Senior/L5
Junior/L3 · Business Analyst
0 reports
$108,285
total per year
Base
-
Stock
-
Bonus
-
$92,042
$124,528
Interview experience
2 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Interview process
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Panel Interview
5
Offer
Common questions
Behavioral/STAR
Past Experience
Culture Fit
Technical Knowledge
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