Senior Data Analytics Manager – Consumer Goods – Orlando, FL

Are you a data-driven leader with a passion for transforming business strategies through analytics? We are seeking a Senior Data Analytics Manager – Consumer Goods to join a fast-growing company in Orlando, FL. This is a unique opportunity to leverage data insights, optimize operational efficiency, and drive strategic decision-making in the competitive Consumer Goods industry. If you excel in data analytics, leadership, and innovation, this role is for you.

Lead Data-Driven Strategies in the Consumer Goods Industry

A leading Consumer Goods company in Orlando, FL is looking for a Senior Data Analytics Manager to lead its data strategy and analytics initiatives. The ideal candidate will have strong technical expertise in data science, a solid understanding of consumer behavior, and a proven ability to turn data into actionable insights. If you’re passionate about using analytics to influence business decisions, enhance customer experiences, and boost operational performance, we want you on our team.

Key Responsibilities of the Senior Data Analytics Manager – Consumer Goods

The role of a Senior Data Analytics Manager in the Consumer Goods sector is pivotal in harnessing data to drive strategic decision-making, improve business performance, and enhance consumer experiences. As a leader in data analytics, you will be responsible for developing innovative solutions that translate raw data into valuable insights. Your expertise in data strategy, consumer analytics, operational efficiency, leadership, and advanced technologies will play a crucial role in shaping the future of the organization.

Data Strategy & Insights:

A well-defined data strategy is essential for leveraging analytics to drive business growth and maintain a competitive edge in the Consumer Goods industry.

Develop and implement data analytics strategies that align with business objectives and enable data-driven decision-making across all departments.
Identify trends, patterns, and opportunities by analyzing large and complex data sets to uncover meaningful insights.
Work closely with key stakeholders to understand business challenges and create tailored data solutions that support revenue growth and operational efficiency.
Translate raw data findings into actionable business insights for cross-functional teams, including marketing, sales, supply chain, and product development.

Consumer Analytics:

Understanding consumer behavior is at the heart of success in the Consumer Goods industry. Your role will focus on using data to enhance customer experiences, drive personalization, and optimize product offerings.

Analyze consumer behavior, buying patterns, and market preferences to develop data-driven marketing and sales strategies.
Provide deep insights into customer segmentation to help the company design targeted advertising campaigns and personalized promotions.
Develop predictive models and algorithms to anticipate customer needs, optimize pricing strategies, and enhance customer loyalty programs.
Track customer engagement metrics across multiple channels (e.g., digital platforms, e-commerce, retail stores) to refine the customer journey and improve conversion rates.

Operational Efficiency:

Data analytics is a powerful tool for optimizing supply chain management, inventory control, production planning, and overall operational performance.

Improve supply chain efficiency by analyzing logistics, demand forecasts, and supplier performance to reduce costs and enhance speed-to-market.
Develop data-driven inventory management solutions to minimize waste, prevent stockouts, and ensure timely product availability.
Optimize production planning by utilizing predictive analytics to balance supply and demand, reducing overproduction and inefficiencies.
Implement data visualization tools and interactive dashboards to provide real-time insights into operational performance, sales trends, and product performance.

Leadership & Collaboration:

A Senior Data Analytics Manager plays a critical leadership role in building a data-driven culture and driving cross-functional collaboration across the organization.

Lead and mentor a team of data analysts and data scientists, providing guidance on best practices, advanced analytics techniques, and project execution.
Foster a data-driven decision-making culture by training and educating teams on how to effectively use data in their daily workflows.
Collaborate with key departments, including marketing, sales, operations, and finance, to ensure analytics initiatives align with company goals.
Communicate complex data findings to non-technical stakeholders, ensuring they understand insights and can take data-driven actions.

Advanced Analytics & Technology:

Technology and analytics tools are at the core of modern data analytics strategies. You will be responsible for leveraging the latest advancements in AI, machine learning, and cloud-based analytics solutions to drive innovation.

Utilize AI and machine learning algorithms to build predictive models, automate data analysis, and uncover hidden business opportunities.
Implement big data solutions and cloud-based analytics platforms to improve data accessibility, security, and scalability.
Manage data pipelines and ensure smooth integration of data from multiple sources, including sales platforms, CRM systems, and external market data providers.
Stay updated on emerging data technologies, tools, and best practices, ensuring the organization remains at the forefront of analytics innovation.

What the Client is Looking for in You

As the Senior Data Analytics Manager – Consumer Goods, the client seeks a strategic thinker with a passion for leveraging data to drive business growth. You should be a proactive leader with a strong analytical mindset, excellent communication skills, and a solid understanding of the Consumer Goods market.

Proven Expertise in Data Analytics

The client is looking for someone with extensive experience in data science, statistical modeling, and business intelligence tools (e.g., SQL, Python, R, Tableau, Power BI). You should have a track record of using data analytics to solve business challenges, optimize processes, and support strategic decision-making.

Consumer Goods Industry Knowledge

A deep understanding of the Consumer Goods sector is essential. Experience analyzing consumer behavior, market trends, and product performance will set you apart. The client values candidates who can turn data insights into strategies that boost brand loyalty and sales.

Leadership & Collaboration

As a senior leader, you must demonstrate the ability to build and mentor a high-performing analytics team. Strong collaboration skills are crucial for partnering with different departments and translating data insights into actionable business strategies.

Strategic & Analytical Thinking

The ideal candidate will have a strategic mindset, capable of identifying growth opportunities through data. You should be skilled in predictive modeling, customer segmentation, and operational analytics, driving innovation and efficiency across the organization.

Technical Proficiency

Expertise in data tools, cloud platforms (AWS, Google Cloud, or Azure), and AI technologies is highly desirable. The client seeks someone who can harness technology to enhance data capabilities and business outcomes.

FAQs About the Role – Senior Data Analytics Manager – Consumer Goods

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

You will lead data strategies, analyze consumer behavior, optimize operations, and drive business decisions using data insights. Your role involves working with cross-functional teams, developing predictive models, and ensuring data accuracy and accessibility.

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

The ideal candidate should have:

A bachelor’s or master’s degree in Data Science, Statistics, Computer Science, or a related field.
5+ years of experience in data analytics, preferably in the Consumer Goods industry.
Proficiency in SQL, Python, R, Tableau, Power BI, and cloud platforms.
Strong leadership and strategic thinking skills.

3. How will this role impact the company’s growth?

As a Senior Data Analytics Manager, you will directly influence revenue growth, customer retention, and operational efficiency. Your data-driven strategies will help the company expand its market share, optimize processes, and enhance product innovation.

4. What challenges can I expect in this role?

You may face challenges such as integrating data from multiple sources, ensuring data accuracy, and driving data adoption across departments. Additionally, you’ll need to stay ahead of evolving consumer trends and technological advancements.

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

The company fosters a data-driven, collaborative, and fast-paced environment. They value innovation, teamwork, and continuous improvement, encouraging employees to leverage data for strategic decision-making.

What Remuneration Can You Expect from This Job?

As a Senior Data Analytics Manager – Consumer Goods in Orlando, FL, you will receive a highly competitive compensation package designed to reward expertise, performance, and leadership in data analytics. The company values innovation, strategic insights, and the ability to drive data-driven decision-making, and its remuneration structure reflects this commitment. Below is a breakdown of the key financial and non-financial benefits associated with this role:

1. Base Salary: $120,000–$150,000 Annually

Your salary will be commensurate with experience, industry expertise, and proven leadership in data analytics.
Those with a strong background in machine learning, predictive analytics, or business intelligence can expect a higher-end offer.

2. Performance Bonuses: Up to 20% of Base Salary

The company offers an attractive performance-based bonus structure to reward high-impact contributions.
Bonuses are tied to key performance indicators (KPIs) such as:
- Business Growth: Driving revenue and cost efficiencies through data insights.
- Operational Improvements: Enhancing workflow automation and data-driven process optimizations.
- Data Strategy Execution: Leading successful data initiatives, predictive modeling, and advanced analytics implementations.

As part of the leadership team, you may be eligible for stock options or profit-sharing plans, aligning your success with the company’s growth.
These incentives provide a long-term financial stake in the organization, allowing you to benefit from the company’s increasing valuation.

4. Health & Wellness Benefits

A comprehensive healthcare package ensures that you and your family are well covered.
Benefits include:
- Medical Insurance (PPO/HMO options) with low deductibles.
- Dental and Vision Coverage with preventive and specialist care options.
- Mental Health Support, including therapy sessions and wellness programs.
- Flexible Spending Accounts (FSA) & Health Savings Accounts (HSA) for medical expenses.

5. Retirement Plans: 401(k) with Employer Contributions

The company offers a 401(k) retirement plan with generous employer contributions.
Contributions are matched at a competitive rate, ensuring you maximize your retirement savings.
Employees also have the option to invest in diverse portfolios tailored to risk tolerance and long-term financial goals.

6. Paid Time Off (PTO) & Work-Life Balance

The company recognizes the importance of work-life balance and offers:
- Generous PTO (starting at 20 days, increasing with tenure).
- Paid Holidays (including major U.S. holidays and additional personal days).
- Flexible Work Arrangements, with hybrid or remote options for qualifying candidates.
Parental Leave Benefits include paid maternity and paternity leave, ensuring work-life balance for new parents.

7. Professional Development & Career Growth

Continuous learning is highly encouraged, with access to:
- Data Science & Machine Learning Training Programs.
- Industry Conferences & Networking Events (e.g., Gartner Data & Analytics Summit, AI & Big Data Expo).
- Certification Sponsorships, including Google Data Analytics, AWS Certified Data Analytics, and Microsoft Power BI certifications.
- Tuition Reimbursement for higher education and specialized courses in data science and analytics.

8. Additional Perks & Company Culture

Cutting-Edge Technology: Access to advanced data analytics tools, AI-driven platforms, and cloud computing resources.
Diversity & Inclusion Programs: A collaborative, inclusive workplace that values diverse perspectives.
Company-Sponsored Events & Team Retreats: Networking opportunities, leadership summits, and corporate events.

How to Apply

If you are an experienced and results-driven professional with a proven track record in data analytics within the Consumer Goods industry, we invite you to apply for the Senior Data Analytics Manager – Consumer Goods role in Orlando, FL. This position offers a unique opportunity to leverage data-driven insights to influence key business decisions, drive growth, and enhance operational performance.

To apply, please submit your updated resume along with a cover letter outlining your experience in data analytics, your proficiency with analytical tools and platforms, and your ability to manage large-scale data projects. Emphasize your expertise in developing data models, conducting business intelligence analyses, and translating complex data into actionable insights that support strategic objectives in the Consumer Goods sector.

This role provides an exciting opportunity to impact business growth through data insights, collaborate with cross-functional teams, and contribute to the company’s continued success in a competitive market. Apply now to take the next step in your data analytics career!

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

Job Category: Consumer Goods

Job Type: Full Time

Job Location: Orlando

Senior Data Analytics Manager – Consumer Goods – Orlando, FL