Data Analytics Manager – Beverage Manufacturing – Milwaukee, WI

Are you an analytical thinker with a strong passion for data and its impact on business growth? We are looking for a Data Analytics Manager to join a leading Beverage Manufacturing company in Milwaukee, WI. This role offers the opportunity to leverage your expertise in data analytics to drive actionable insights and strategic decisions that impact product development, market trends, and operational efficiencies. If you’re eager to work in a dynamic industry and thrive on turning data into value, this is your chance to lead with impact.

Drive Business Excellence Through Data Insights

Our client, a recognized leader in beverage manufacturing, is seeking a skilled Data Analytics Manager to oversee and optimize data strategies. As the Data Analytics Manager, you will play a key role in shaping the company’s data-driven culture, empowering decision-makers with actionable insights. This is an exciting opportunity to influence key areas such as production optimization, consumer behavior analysis, and market forecasting. If you have a proven track record in data analytics and a deep understanding of the beverage manufacturing landscape, we want to hear from you.

Key Responsibilities of the Data Analytics Manager – Beverage Manufacturing

Data Strategy & Analysis: Lead the development and execution of data strategies to enhance business operations and decision-making. Use advanced analytical tools and techniques to identify insights that influence product development, marketing strategies, and consumer trends.

Operational Efficiency & Insights: Work closely with cross-functional teams to monitor and optimize manufacturing processes using data. Develop actionable insights to drive operational improvements, reduce costs, and increase production efficiency.

Market Trends & Consumer Behavior Analysis: Analyze market trends and consumer behavior patterns to inform strategic decisions. Provide key insights into consumer preferences, product demand, and competitive landscapes to guide the company’s innovation and marketing efforts.

Data Visualization & Reporting: Create clear, impactful reports and dashboards to communicate complex data insights to both technical and non-technical stakeholders. Present findings in a way that supports strategic decision-making at the executive level.

Collaboration with Business Units: Partner with marketing, sales, supply chain, and production teams to ensure that data insights are integrated into business strategies. Foster a data-driven culture across departments, helping teams leverage data for decision-making.

Forecasting & Predictive Modeling: Lead forecasting efforts to predict demand, inventory needs, and production capacity. Develop predictive models to anticipate market shifts and ensure the company stays ahead of industry trends.

Data Governance & Quality Control: Ensure data accuracy, integrity, and consistency across all systems. Establish data governance policies to maintain high-quality datasets, ensuring reliable and effective analysis.

Technology & Tool Implementation: Evaluate and implement cutting-edge analytics tools and technologies to improve the company’s data capabilities. Stay up-to-date with the latest trends in data analytics and ensure the team utilizes the most effective tools for data collection and analysis.

Cross-Departmental Collaboration: Work with leadership to define KPIs and develop strategies to achieve them. Provide insights into key performance metrics and suggest improvements to ensure company objectives are met efficiently.

Compliance & Best Practices: Ensure adherence to industry regulations and best practices in data handling and analysis. Maintain data security and privacy standards while ensuring data-driven decision-making aligns with ethical business practices.

What the Client is Looking for in You

As the Data Analytics Manager in the beverage manufacturing sector, the client is seeking a data-driven leader with a proven track record of transforming business operations through insightful analysis. The ideal candidate will be a detail-oriented, strategic thinker who thrives in a fast-paced environment, turning complex data into actionable strategies that drive efficiency, innovation, and growth.

Proven Experience in Data Analytics & Beverage Manufacturing

The client is looking for an experienced professional who has worked extensively in data analytics within the manufacturing industry, ideally with experience in the beverage sector. You should have a strong track record of using data to optimize operations, enhance product development, and increase profitability. Experience in managing large datasets, developing predictive models, and utilizing advanced analytics tools will be highly valued.

Strategic Mindset with a Focus on Business Impact

As the Data Analytics Manager, you must demonstrate the ability to not only analyze data but also use it to influence strategic decision-making across the organization. The ideal candidate will be able to identify emerging trends, provide recommendations for operational improvements, and optimize resource allocation to maximize business performance. A forward-thinking approach and a keen understanding of how data can drive business growth are key to this role.

Strong Technical Proficiency

The client is seeking a candidate with advanced technical skills in data analysis tools and programming languages, such as SQL, Python, R, and data visualization software (e.g., Tableau, Power BI). You should be comfortable working with large datasets, conducting complex analyses, and delivering clear, actionable insights to senior leadership. A deep understanding of data governance, data quality, and predictive modeling techniques is essential for success.

Excellent Communication & Stakeholder Engagement Skills

Effective communication of data insights to both technical and non-technical stakeholders is crucial. The ideal candidate will possess excellent presentation and interpersonal skills, able to clearly explain complex analytical findings and their business implications. Strong collaboration skills are required to work with various teams and leadership, ensuring that data-driven insights are effectively integrated into decision-making processes.

Consumer & Market-Oriented Approach

A deep understanding of consumer behavior, market dynamics, and how data can be used to predict trends and consumer preferences is essential. The ideal candidate will be able to leverage data to drive product innovation, enhance customer engagement, and support market expansion initiatives. You should have a passion for using data to improve customer experiences and drive sales.

Leadership & Team Collaboration

While this role is focused on data analytics, leadership and collaboration are key. The client seeks a candidate who can lead cross-functional teams, mentor junior analysts, and foster a data-driven culture within the organization. Experience in guiding teams to success and collaborating effectively across departments will be highly valued.

Commitment to Data Integrity and Ethical Practices

The client values a candidate who understands the importance of data integrity, security, and ethical data practices. You should ensure that all data collection, analysis, and reporting practices adhere to the highest standards of quality and compliance, and that all business decisions are made with transparency and accountability.

FAQs About the Role – Data Analytics Manager – Beverage Manufacturing – Milwaukee, WI

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

As the Data Analytics Manager, you will be responsible for leveraging data to optimize business performance across the beverage manufacturing process. This includes analyzing large datasets to identify trends, improving operational efficiency, and supporting strategic decision-making. You will also work closely with cross-functional teams to provide insights into supply chain management, product development, and market strategies. Additionally, you will be responsible for ensuring data integrity, creating predictive models, and driving data-driven strategies to enhance product quality and customer satisfaction.

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

The ideal candidate should have a strong background in data analytics, with significant experience working in the manufacturing or beverage industry. Proficiency in data analysis tools and programming languages such as SQL, Python, R, and data visualization software (e.g., Tableau, Power BI) is essential. Experience in predictive modeling, machine learning, and managing large datasets is highly valued. A degree in data science, statistics, computer science, or a related field is preferred, and a master’s degree in a relevant discipline is a plus.

3. What skills are crucial for success in this role?

The client seeks a candidate with a blend of technical, analytical, and communication skills. Strong technical proficiency in data analytics tools and programming is essential. You should also possess excellent problem-solving abilities, critical thinking, and a deep understanding of business processes. The ability to communicate complex data findings to non-technical stakeholders is vital, along with collaboration skills to work across departments. A keen eye for detail, a passion for data, and a consumer-first mindset are also key attributes for success.

4. What challenges can I expect in this role?

You will face challenges such as managing complex datasets, ensuring data accuracy, and transforming data into actionable insights. The beverage manufacturing industry is dynamic, with evolving consumer preferences, supply chain complexities, and regulatory changes. Adapting to these factors while maintaining data integrity and operational efficiency will be a key challenge. You will also need to ensure that insights are aligned with business strategies to drive growth and profitability.

5. How will my work impact the company’s operations and growth?

Your work will directly influence the company’s decision-making processes and drive improvements in operational efficiency. By providing data-driven insights, you will help optimize supply chain processes, reduce costs, and improve product quality, which will ultimately contribute to the company’s growth. Your analyses will also support product innovation and market strategies, leading to increased market share and customer satisfaction.

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

The company fosters a collaborative and innovative work environment where data-driven decision-making is encouraged. They value a culture of continuous improvement, teamwork, and accountability. You will be part of a dynamic team that focuses on delivering high-quality products and services while ensuring operational excellence. The company promotes a growth mindset, where your contributions are valued, and professional development is supported.

What Remuneration Can You Expect from This Job?

As the Data Analytics Manager in a Beverage Manufacturing company in Milwaukee, WI, you can expect a competitive compensation package designed to reward your expertise in data analytics and manufacturing operations. The remuneration for this role typically includes:

1. Base Salary

The base salary for a Data Analytics Manager in the beverage manufacturing industry varies depending on experience, education, and company size. For this role, you can expect an annual base salary that typically ranges from $90,000 to $130,000. Larger companies or those in high-demand markets may offer higher salaries.

2. Performance-Based Bonuses

In addition to the base salary, most compensation packages for this role include performance-based bonuses. These bonuses are often tied to key performance indicators (KPIs) such as improving operational efficiency, optimizing data-driven strategies, and contributing to overall business growth. Performance bonuses can range from 10% to 25% of the base salary, depending on individual and company performance.

3. Equity & Stock Options

In some organizations, Data Analytics Managers may be eligible for equity-based incentives such as stock options or performance shares. These incentives align personal compensation with the company’s long-term success, offering potential long-term financial rewards based on company performance and growth.

4. Profit-Sharing & Long-Term Incentive Plans (LTIPs)

Some companies offer profit-sharing or long-term incentive plans (LTIPs) to key employees. These programs reward individuals for sustained performance and may provide financial incentives based on the company’s profitability over time. Participation in these plans ensures a focus on long-term growth and success.

5. Benefits & Perks

As a Data Analytics Manager, you will be eligible for comprehensive benefits, which may include:

Health, dental, and vision insurance
401(k) retirement plans with company contributions
Paid time off (PTO) and holiday leave
Life insurance and disability coverage
Professional development opportunities
Wellness programs and employee assistance programs

6. Signing Bonuses & Relocation Assistance

For top candidates or those relocating to Milwaukee, the company may offer signing bonuses or relocation assistance to cover moving expenses. Signing bonuses typically range from $5,000 to $25,000, depending on the candidate’s qualifications and the company’s policies.

Total Compensation Potential

When factoring in base salary, bonuses, stock options, and other incentives, the total compensation for a Data Analytics Manager in the beverage manufacturing industry can range from $100,000 to $160,000 annually. High-growth companies or those in competitive markets may offer even more lucrative compensation packages.

How to Apply

If you are a skilled data analytics professional with a strong background in the beverage manufacturing industry, we invite you to apply for the Data Analytics Manager role in Milwaukee, WI. This is a unique opportunity to leverage your expertise in data analytics to drive operational efficiency, improve business decision-making, and support strategic growth initiatives.

To apply, please submit your updated resume and a cover letter that highlights your experience in data analytics, including specific examples of how you’ve contributed to operational improvements, data-driven decision-making, and business optimization. Be sure to demonstrate your proficiency with data tools, your ability to analyze complex datasets, and your experience in the beverage or manufacturing sectors.

This role offers the opportunity to make a significant impact on the company’s success by shaping data strategies and providing actionable insights. If you are looking to advance your career and contribute to a high-growth company in the beverage manufacturing industry, apply today!

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

Job Category: Beverage Manufacturing

Job Type: Full Time

Job Location: Milwaukee

Data Analytics Manager – Beverage Manufacturing – Milwaukee, WI