Data Analyst

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At Pactiv Evergreen Inc, we believe that data tells the story behind every decision. We’re a forward-thinking organization dedicated to innovation, customer experience, and sustainable growth. Our teams are passionate about turning insights into action and empowering our clients and partners with data-driven strategies. If you’re excited about making a measurable impact while working in a flexible, fully remote environment, this role could be the perfect fit for you.

The Role

We are looking for a Remote Data Analyst to join our growing analytics team. In this role, you will transform raw data into meaningful insights that inform business strategy, optimize performance, and drive decision-making across departments. You’ll collaborate closely with stakeholders, ensuring that data is accessible, accurate, and actionable.

As part of a distributed team, you will have the flexibility to work from anywhere while being supported by a strong collaborative culture. This is an opportunity to use your analytical expertise to contribute to exciting projects in a fast-paced, evolving business environment.

Key Responsibilities

• Collect, clean, and validate large datasets from multiple sources, ensuring accuracy and integrity.
• Develop dashboards, reports, and visualizations to communicate trends and performance metrics.
• Perform exploratory data analysis to identify opportunities, risks, and patterns.
• Collaborate with cross-functional teams (marketing, product, operations, finance) to provide actionable insights.
• Translate complex data findings into clear, concise recommendations for stakeholders.
• Support the development of predictive and prescriptive models to improve decision-making.
• Continuously monitor key performance indicators (KPIs) and suggest improvements.
• Contribute to documentation and data governance practices to ensure consistency and compliance.

What We’re Looking For

• Bachelor’s degree in Data Science, Statistics, Economics, Computer Science, or related field (Master’s a plus).
• 2+ years of professional experience as a Data Analyst, Business Analyst, or in a similar role.
• Strong proficiency in SQL and experience with relational databases.
• Solid skills in data visualization tools such as Tableau, Power BI, or Looker.
• Proficiency with Python or R for data analysis and automation.
• Strong knowledge of Excel (advanced formulas, pivot tables, and macros).
• Excellent analytical thinking and problem-solving abilities.
• Strong communication skills, with the ability to simplify technical findings for non-technical audiences.
• Self-motivated, detail-oriented, and comfortable working independently in a remote setup.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Part-time

Job function

• Job function

  Customer Service, Administrative, and Accounting/Auditing

• Industries

  Government Administration, Food and Beverage Manufacturing, and Financial Services

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