Strategic Data Analytics Manager for Global Market Expansion

6 days ago

Minneapolis, Minnesota, United States Jack Link's Beef Jerky Full time
About Us

At Jack Link's, we're driven by a passion for innovation and a commitment to quality. As the world's largest meat snack manufacturer, we've built a reputation for delivering exceptional products that fuel our customers' adventures. Our global team of over 4,000 passionate individuals is united by a shared vision: to become the world's number one protein snacking company.

Salary and Benefits

We offer a competitive salary range of $120,000 - $180,000 per year, depending on experience, plus a comprehensive benefits package, including medical, dental, and vision coverage, 401(k) matching, and generous paid time off.

Job Description

The Senior Manager of Analytics & Automation will lead our data analytics team in designing and developing our enterprise data & analytics platform, leveraging SAP, Nielsen, and customer POS data to drive strategic decision-making and business growth. This role requires a deep understanding of data analytics, consumer behavior, and the CPG industry.

Main Responsibilities:
  • Leadership: Plan, organize, and execute the analytics roadmap, providing oversight on technical design and development decisions, leading a team of technical analysts and off-shore contractors to deliver competitively advantaged analytics solutions, collaborating with cross-functional teams to ensure alignment on business objectives and priorities.
  • Data Management and Integration: Oversee the integration and management of data from SAP, Nielsen, and customer POS systems, ensuring data accuracy, consistency, and availability for analysis, developing and maintaining data governance policies and procedures.
  • Analytics and Insights: Lead the development of advanced analytics platforms for the business to identify trends, opportunities, and risks.
  • Strategic Planning: Develop and implement analytics strategies to support functional business goals, identifying and evaluating new data sources and technologies to enhance analytics capabilities, presenting findings and recommendations to senior leadership and stakeholders.
  • Performance Measurement: Design and implement key performance indicators (KPIs) to measure the effectiveness of analytics initiatives, monitor and report on the impact of analytics on business performance, continuously improving analytics processes and methodologies.
  • AI & Automation: Familiarity with AI technologies (like machine learning, Natural Language Processing) and process automation tools, experience leveraging automation technologies to reduce manual work from processes and streamline operations.
Requirements:
  • Bachelor's or Master's degree in Statistics, Economics, Mathematics, Computer Science, or a related field or equivalent experience.
  • 7+ years of experience in data analytics, with a focus on the CPG industry.
  • 4+ years' experience leading and mentoring teams.
  • Critical thinking and problem-solving skills and the ability to make informed decisions to evaluate alternatives and make tradeoffs.
  • Excellent interpersonal, written, and verbal communication skills, demonstrated ability to effectively communicate with a variety of audiences, including various levels of management, vendors, business teams with varied levels of skill/experience.
  • Proficiency in SAP, Nielsen, and customer POS data platforms.
  • Strong analytical and problem-solving skills.
  • Experience leading and developing high-performing teams.
  • Knowledge of advanced statistical techniques and data visualization tools (e.g., Python, R, Tableau).
  • Experience with machine learning and artificial intelligence applications in analytics.
  • Familiarity with data warehousing and big data technologies.
  • Possess a solid understanding of the software development life cycle and proven project management techniques.
  • Ability to model and document business requirements and related data needs.
  • Familiar with systems security best practices.
  • Knowledge of applicable data privacy practices and laws.
  • Familiar with data modeling techniques and best practices.
  • Ability to effectively communicate technical information to a non-technical audience.

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