Data Analytics Manager – Beverage Manufacturing

Are you a data-driven leader with a passion for leveraging analytics to optimize manufacturing operations? We are seeking a Data Analytics Manager to join a leading beverage manufacturing company in Minneapolis, MN. This role offers an exciting opportunity to drive data strategies, improve efficiency, and support business growth through advanced analytics. If you excel in transforming complex data into actionable insights and thrive in a fast-paced production environment, this position is for you.

Drive Data-Backed Decision-Making in Beverage Manufacturing

A premier beverage manufacturing company in Minneapolis, MN, is looking for a Data Analytics Manager to enhance operational performance and strategic decision-making. The ideal candidate will have a strong background in data analytics, predictive modeling, and performance optimization within a manufacturing environment. If you are passionate about using data to streamline production, reduce costs, and drive innovation, this is your opportunity to make a significant impact in the industry.

Key Responsibilities of the Data Analytics Manager – Beverage Manufacturing

Data Strategy & Analytics Implementation

Develop and execute a robust data strategy: Formulate and implement a comprehensive data strategy that aligns with the company’s manufacturing goals. This includes setting clear objectives and aligning data initiatives with operational priorities to drive impactful outcomes.
Utilize advanced analytics and machine learning: Leverage the latest analytics tools, machine learning models, and business intelligence platforms to extract actionable insights from large datasets. This data should inform decision-making processes and provide a competitive edge in the industry.

Operational Efficiency & Process Optimization

Analyze production data for inefficiencies: Regularly review production metrics to uncover inefficiencies and bottlenecks in the manufacturing process. Identify opportunities to reduce waste, optimize resource utilization, and improve operational throughput.
Collaborate with operational teams: Work closely with operations teams to implement and refine data-backed process improvements. Use insights to suggest actionable changes that lead to reduced costs and higher productivity.

Predictive Modeling & Forecasting

Leverage predictive analytics: Use advanced predictive models to forecast future demand for products, plan capacity, and optimize production schedules. Apply statistical methods and machine learning algorithms to anticipate trends and potential risks in production.
Optimize supply chain logistics: Use predictive models to forecast supply chain disruptions and optimize logistics, ensuring raw materials are delivered efficiently and on time, minimizing downtime.

Performance Monitoring & KPI Tracking

Establish key performance indicators (KPIs): Develop and maintain a set of relevant KPIs to evaluate and track manufacturing performance. These may include production volume, resource utilization, downtime, yield rates, and product quality.
Real-time insights and dashboards: Provide senior leadership and operational teams with real-time data insights through customizable dashboards. These insights should allow for immediate action to address any issues in the production process and improve operational efficiency.

Cross-Functional Collaboration

Collaborate with multiple departments: Work closely with production, quality control, supply chain, finance, and other departments to ensure that data-driven insights are integrated across all levels of the business. This includes analyzing data to improve supply chain management, streamline operations, and optimize resource allocation.
Support leadership in strategic planning: Provide data-driven insights to senior leadership, aiding them in making informed decisions for long-term strategy and operational planning. Your insights should guide the development of new business strategies and help the company stay ahead in a competitive market.

Data Governance & Compliance

Ensure data accuracy and integrity: Establish and enforce data governance policies to maintain the quality, security, and accuracy of production data. Implement systems to ensure all data collected from manufacturing operations is reliable and trustworthy.
Ensure compliance with industry regulations: Stay informed about relevant industry regulations, data protection laws, and compliance standards that affect data collection, storage, and reporting. Ensure that all data practices adhere to these standards to avoid legal and operational risks.

Technology & Tool Integration

Implement and manage analytics tools: Oversee the integration and utilization of advanced analytics tools, data visualization platforms, and cloud-based solutions to ensure ease of data access, analysis, and collaboration across teams.
Leverage new technologies: Stay abreast of emerging technologies and trends in data analytics, such as AI, machine learning, and automation, and evaluate how they can be integrated into existing systems to enhance performance.

Stakeholder Reporting & Decision Support

Communicate insights to senior leadership: Regularly present data-driven insights to senior leadership, offering actionable recommendations that can support key business decisions. These insights should be communicated through clear, concise reports, dashboards, and presentations.
Support business decisions: Use data analytics to inform decisions related to manufacturing efficiency, cost savings, product quality, and market expansion. Your insights will guide key decisions that drive company success and profitability.

What the Client is Looking for in You

As the Data Analytics Manager – Beverage Manufacturing, the client is seeking a data-driven professional with a strong analytical mindset, expertise in manufacturing analytics, and the ability to transform raw data into actionable business insights. You should be a proactive leader who thrives in fast-paced production environments and can drive efficiency through data-backed strategies.

Proven Experience in Data Analytics & Manufacturing

The ideal candidate has extensive experience in data analytics within a manufacturing setting, preferably in the beverage or food production industry. You should have a strong track record of using data to enhance operational efficiency, optimize supply chains, and improve production quality.

Strategic Thinker with a Problem-Solving Mindset

The client is looking for someone who can identify patterns, trends, and inefficiencies in manufacturing operations. Your ability to develop predictive models, streamline processes, and implement automation solutions will be crucial in driving business success.

Expertise in Data Tools & Technologies

Proficiency in SQL, Python, R, Power BI, Tableau, and cloud-based data platforms is highly valued. Experience with ERP systems, IoT analytics, and AI-driven forecasting tools will set you apart. The ability to integrate and manage large datasets for real-time decision-making is essential.

Strong Collaboration & Communication Skills

You will work closely with production teams, supply chain managers, and executive leadership to ensure that data insights translate into business impact. The client seeks a professional who can communicate complex analytics clearly and drive cross-functional collaboration.

Results-Driven & Process-Oriented

The client values a candidate with a keen focus on process optimization, cost reduction, and efficiency improvements. Your ability to track key performance indicators (KPIs), identify bottlenecks, and implement solutions will play a crucial role in enhancing manufacturing operations.

Commitment to Data Integrity & Compliance

Ensuring data accuracy, security, and compliance with industry standards and regulations is critical. The ideal candidate will have experience in data governance, risk management, and quality control processes within a manufacturing environment.

Are you ready to make an impact in beverage manufacturing through advanced analytics? If you have a passion for leveraging data to drive efficiency, reduce costs, and enhance production performance, this role is the perfect fit for you!

FAQs About the Role – Data Analytics Manager – Beverage Manufacturing

1. What are the key responsibilities of the Data Analytics Manager in this role?

As a Data Analytics Manager in Beverage Manufacturing, you will be responsible for analyzing production data, optimizing supply chain efficiency, improving quality control, and providing data-driven insights to enhance overall operational performance. Your role will involve implementing predictive analytics models, automating reporting, and supporting strategic decision-making across departments.

2. What qualifications and experience are required for this position?

The ideal candidate should have a strong background in data analytics, statistics, and business intelligence, preferably in a manufacturing or beverage production environment. Experience with SQL, Python, R, Power BI, Tableau, and ERP systems is highly valued. A degree in Data Science, Computer Science, Engineering, or a related field is preferred, along with 5+ years of experience in data analytics or process optimization.

3. What key skills are necessary for success in this role?

The role requires strong analytical skills, problem-solving abilities, and proficiency in data visualization tools. The ability to interpret large datasets, identify trends, and provide actionable recommendations is essential. Additionally, experience in machine learning, process automation, and predictive modeling will be highly beneficial.

4. What challenges can I expect in this role?

You may face challenges such as handling large volumes of production data, ensuring data accuracy, integrating new analytics tools with legacy systems, and driving data-driven decision-making within the organization. Additionally, working in a fast-paced manufacturing environment requires adaptability to evolving business needs.

5. What impact will this role have on the company’s growth?

Your role will be instrumental in optimizing production efficiency, reducing costs, minimizing waste, and enhancing product quality. By leveraging data insights to improve operations and supply chain management, you will directly contribute to profitability, sustainability, and competitive advantage in the beverage industry.

6. What is the company’s culture and work environment like?

The company fosters a data-driven, innovation-focused, and results-oriented culture. They encourage collaboration, continuous learning, and cross-functional teamwork to drive business success. You will be working in an environment that values proactive problem-solving and strategic thinking.

What Remuneration Can You Expect from This Job?

As a Data Analytics Manager – Beverage Manufacturing, you can expect a competitive compensation package designed to attract top talent in the industry. The remuneration for this role typically includes:

1. Base Salary

The annual base salary for a Data Analytics Manager in the beverage manufacturing sector varies based on experience, company size, and location. Typically, the base salary ranges between $90,000 to $130,000 per year, with higher salaries offered at large, multinational corporations.

2. Performance-Based Bonuses

In addition to a base salary, most companies offer performance-based bonuses tied to key metrics such as operational efficiency, cost savings, and data-driven business impact. These bonuses typically range from 10% to 25% of the base salary, depending on company performance and individual contributions.

3. Equity & Stock Options

Some companies, especially larger beverage manufacturers, offer equity-based incentives such as stock options or restricted stock units (RSUs). These incentives align employee interests with company growth and can provide substantial financial benefits over time.

4. Long-Term Incentive Plans (LTIPs)

For senior-level roles, profit-sharing and long-term incentive plans (LTIPs) may be included, rewarding managers for sustained improvements in data analytics efficiency, production optimization, and supply chain effectiveness.

5. Comprehensive Benefits & Perks

Employees in this role can expect a range of executive benefits, including:
✅ Health, dental, and vision insurance
✅ 401(k) or pension plans with company contributions
✅ Annual learning and development budget
✅ Work-from-home flexibility (for data-related tasks)
✅ Wellness programs and gym memberships

6. Signing Bonuses & Relocation Assistance

For top candidates, companies may offer signing bonuses ranging from $5,000 to $20,000, along with relocation assistance if required.

Total Compensation Potential

When considering base salary, bonuses, equity, and incentives, total annual compensation for a Data Analytics Manager in Beverage Manufacturing can range between $110,000 and $160,000+, with potential for further growth in leadership roles.

How to Apply

If you are an experienced and forward-thinking leader with a passion for driving operational excellence and business growth in the beverage manufacturing industry, we invite you to apply for the Data Analytics Manager – Beverage Manufacturing role. This is a unique opportunity to make a significant impact by leveraging data analytics to optimize production, enhance supply chain efficiency, and contribute to the company’s strategic growth.

To apply, please submit your resume and a cover letter outlining your experience in data analytics, process optimization, and your ability to lead teams in a fast-paced manufacturing environment. Highlight your expertise in data-driven decision-making, machine learning, and business intelligence tools, and showcase your track record in driving operational improvements and cost efficiencies.

This role offers the chance to join a dynamic company where you will have the autonomy to shape data analytics strategies and drive business results. Apply today and take the next step in your career as a Data Analytics Manager – Beverage Manufacturing!

For more information or to explore similar opportunities, visit our Data Analytics Careers Page.

Tags

Job Category: Beverage Manufacturing

Job Type: Full Time

Job Location: Minneapolis

Data Analytics Manager – Beverage Manufacturing – Minneapolis, MN