Data Analytics Manager – Consumer Goods – Milwaukee, WI

Are you an experienced data-driven leader with a passion for driving growth in the Consumer Goods industry? We are seeking a Data Analytics Manager to join a leading company in Milwaukee, WI. This is an exciting opportunity to leverage your expertise in data analytics and consumer insights to drive strategic decision-making and operational excellence in the fast-paced consumer goods sector.

Lead Data-Driven Strategy in Consumer Goods

A premier Consumer Goods company in Milwaukee, WI is looking for a Data Analytics Manager to lead its data strategy and analytics initiatives. The ideal candidate will have extensive experience in data analysis, consumer behavior analytics, and working within the consumer goods industry. If you are skilled at turning data into actionable insights and driving business success, this is your chance to make a significant impact.

Key Responsibilities of the Data Analytics Manager – Consumer Goods

Data Strategy Development: Lead the development and execution of data analytics strategies to support business growth and operational efficiency. Leverage insights from consumer data to inform decision-making and guide strategic initiatives.

Consumer Insights & Trends Analysis: Analyze consumer behavior, market trends, and purchasing patterns to identify key opportunities for product innovation, marketing strategies, and customer engagement. Provide actionable insights to improve product offerings and drive brand loyalty.

Cross-Department Collaboration: Work closely with marketing, product development, and operations teams to align data insights with business goals. Collaborate on forecasting, trend analysis, and optimizing consumer-facing strategies.

Data Reporting & Visualization: Create clear, concise, and visually appealing data reports for executives and stakeholders. Translate complex data into actionable insights that drive strategic decisions and business outcomes.

Performance Metrics & KPIs: Establish and track key performance indicators (KPIs) to measure the success of data-driven initiatives. Ensure that analytics efforts align with the company’s overarching goals and objectives.

Advanced Data Tools & Analytics Techniques: Utilize advanced tools and technologies such as Python, SQL, and BI tools to analyze large datasets. Implement machine learning models and predictive analytics techniques to drive better business outcomes.

Process Optimization & Efficiency: Identify areas for process improvement through data analysis. Develop strategies to streamline data collection, analysis, and reporting, ensuring that data operations are efficient and scalable.

Team Leadership & Development: Manage and mentor a team of data analysts, fostering a culture of continuous learning and professional growth. Ensure that the team is equipped with the tools, resources, and support needed to excel in their roles.

What the Client is Looking for in You

As the Data Analytics Manager in Consumer Goods, the client seeks a leader with a strong background in data analysis, consumer insights, and decision-making in the consumer goods industry. The ideal candidate will have a proven track record of driving business results through data-driven strategies.

Proven Expertise in Data Analytics for Consumer Goods

The client is looking for a seasoned professional with extensive experience in data analytics, especially within the consumer goods industry. You should have a deep understanding of consumer behavior, market trends, and data modeling techniques that drive business growth. Experience with data mining, predictive modeling, and consumer insights is highly valued.

Strong Analytical & Problem-Solving Skills

As a Data Analytics Manager, you will be expected to solve complex business problems using data. The ideal candidate must possess strong analytical skills, with the ability to develop actionable insights that directly influence marketing strategies, product innovation, and customer engagement.

Proficiency with Data Tools & Technologies

The ideal candidate will have hands-on experience with advanced data analytics tools such as SQL, Python, R, and Tableau. Familiarity with machine learning, predictive analytics, and big data platforms is a significant plus. You should be able to leverage these tools to extract insights from large datasets and transform them into strategic actions.

Ability to Influence Stakeholders & Drive Change

The Data Analytics Manager will be responsible for presenting data insights to senior management and key stakeholders. The ideal candidate should be able to communicate complex data findings clearly and persuasively, ensuring alignment with company objectives and influencing decision-making at all levels.

Strong Leadership & Team Management

As a leader, you should be able to manage and develop a team of data analysts. You should foster a collaborative environment that encourages innovation, drives continuous improvement, and ensures the team’s success in achieving the company’s data and business goals.

Consumer-Centric Approach

Understanding the nuances of consumer behavior is critical. You should have experience in deriving actionable insights from consumer data that enhance brand positioning, drive sales, and increase customer retention. A consumer-first mindset will be key to excelling in this role.

FAQs About the Role – Data Analytics Manager – Consumer Goods

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

As the Data Analytics Manager, you will lead data strategy development, analyze consumer behavior and market trends, and provide actionable insights to drive business decisions. You will also work closely with cross-functional teams, develop data reporting systems, and manage key performance metrics to optimize business operations.

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

The ideal candidate should have extensive experience in data analytics, particularly in the consumer goods industry. A strong background in statistical analysis, consumer insights, and advanced data tools such as SQL, Python, and Tableau is required. An advanced degree in a relevant field is preferred, but not mandatory.

3. What leadership qualities are essential for this role?

The client is looking for a results-driven leader with excellent communication and decision-making skills. You should have the ability to influence stakeholders, mentor a team of analysts, and manage complex projects while driving business success through data insights.

4. What challenges can I expect in this role?

You will be challenged with managing large datasets, providing insights in a fast-paced environment, and aligning data findings with business objectives. Additionally, you will need to stay on top of ever-evolving market trends and consumer behavior to maintain a competitive edge in the consumer goods sector.

5. What impact will the Data Analytics Manager have on the company’s growth?

The Data Analytics Manager will play a pivotal role in identifying new opportunities for product innovation, optimizing marketing strategies, and improving customer engagement. Your data-driven insights will directly influence the company’s growth, profitability, and market positioning in the consumer goods industry.

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

The company fosters a collaborative, innovation-driven culture. They value leaders who promote teamwork, encourage continuous learning, and leverage data insights to drive business success. You will have the opportunity to contribute to a culture of excellence and help shape the future of the company.

What Remuneration Can You Expect from This Job?

As the Data Analytics Manager in Consumer Goods in Milwaukee, WI, you can expect a comprehensive and highly competitive salary and benefits package that is designed to reward your expertise, commitment, and contribution to the company’s success. The company strives to provide a supportive and motivating environment where employees are not only recognized for their work but are also provided with opportunities for professional and personal growth. Below is a breakdown of the key components of the compensation package for this position:

Base Salary

The base salary for the Data Analytics Manager position in Milwaukee will depend on the candidate’s qualifications, experience, and relevant skills. The expected salary range for this role is between $90,000 and $130,000 annually. This range reflects the importance of this leadership role and the level of experience required to excel in data analytics and management within the consumer goods sector. Compensation will be tailored based on the individual’s background, ensuring that experienced professionals are adequately compensated for their expertise and contributions.

Performance-Based Bonuses

In addition to a competitive base salary, the role offers the potential for performance-based bonuses. These bonuses are tied directly to key business metrics, including revenue growth, the accuracy and impact of data-driven insights, and operational performance. By aligning personal performance with company objectives, these bonuses provide a motivating incentive to achieve high standards of excellence and contribute to the company’s overall success.

Benefits Package

The benefits package for the Data Analytics Manager role is designed to promote a balanced and healthy lifestyle, ensuring that employees and their families are well taken care of. The package includes:

Health, Dental, and Vision Insurance: Comprehensive medical, dental, and vision coverage for you and your dependents. This ensures access to quality healthcare, with options for individual and family plans.
401(k) Retirement Plan: The company offers a 401(k) plan with generous employer contributions, allowing you to build your retirement savings with the added benefit of matching contributions. This ensures long-term financial security for your future.
Paid Time Off (PTO) and Holidays: You will receive paid time off (PTO) to use for personal days, vacation, or rest. Additionally, the company provides paid holidays, giving you time to recharge and spend with family and friends.

Additional Perks

Beyond the core salary and benefits, the company offers a range of additional perks to support a healthy work-life balance, foster team collaboration, and enhance employee satisfaction:

Flexible Working Hours: The company recognizes the importance of work-life balance and offers flexible working hours, allowing you to adjust your schedule to better accommodate personal commitments while meeting work deadlines and targets.
Wellness Programs: The company provides access to wellness programs designed to support your physical and mental well-being. These programs may include gym memberships, fitness classes, stress management workshops, and health-related initiatives.

How to Apply

If you are a dynamic and strategic data leader with a proven track record in data analytics for consumer goods, we invite you to apply for the Data Analytics Manager position in Milwaukee, WI. This is an exciting opportunity to leverage your skills to drive strategic growth and innovation in a top-tier company.

To apply, please submit your resume and cover letter detailing your experience in data analytics, consumer insights, and business strategy. Highlight your expertise with advanced data tools, your leadership experience, and your ability to influence decision-making.

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

Job Category: Consumer Goods

Job Type: Full Time

Job Location: Milwaukee

Data Analytics Manager – Consumer Goods – Milwaukee, WI