Welcome to Packworks, where innovation meets community!

Our story began in 2018 when we realized that multinational companies were struggling to connect with neighborhood stores, or sari-sari stores, in the Philippines. We saw an opportunity to bridge the gap between these two worlds and create a platform that could empower small business owners while also driving progress and inclusivity in the country's supply chain.

At Packworks, we believe that technology should be accessible and scalable, which is why we've developed a platform that is easy to use and can be customized to meet the unique needs of each business. Whether you're a small sari-sari store owner or a large multinational corporation, Packworks has the tools you need to succeed.

Our platform is designed to streamline communication and collaboration between businesses of all sizes, providing a level playing field that promotes fairness and equality. With Packworks, small business owners can access the same resources and opportunities as their larger counterparts, allowing them to grow and thrive in a competitive marketplace.

But we're more than just a platform – we're a community. We believe in the power of collaboration and partnership, and we're committed to building a network of like-minded individuals and organizations who share our vision for a better future. Together, we can drive progress, promote inclusivity, and make a positive impact on the world around us.

Join us on our mission to transform the supply chain and empower small businesses.

Purpose of the role:
The Data Analyst is tasked to scrutinize information and generate insights using data analysis tools. He/She must adhere to the Data Office mandate which is to create business value – both

for internal and external clients – from data generated by the company and through integration with external data. Report format will vary depending on the project or client requirements.

KRA/JD
Database querying and data extraction.

  • Data preparation, EDA (exploratory data analysis), data cleaning.

  • Perform initial analyses to assess data quality and further analyses to generate

  • insights.

  • Prepare narrative using data visualization.

  • Prepare reports based on analysis.

  • Be an advocate for data integrity and ethical business intelligence at all times.

  • Coordinate with other departments for various tasks.

  • Other tasks as assigned.

KRAs

Data Analysis and Interpretation:

  • Analyze large datasets to identify trends, patterns, and insights that can impact the FMCG business we are working with

  • Interpret data to provide actionable recommendations

Market and Consumer Research:

  • Conduct research on market trends, consumer behavior, and competitor analysis to identify opportunities and threats.

  • Develop consumer insights to guide promo strategies.

Data Visualization and Reporting:

  • Create meaningful and visually appealing reports and dashboards to communicate insights to various stakeholders.

Continuous Learning and Innovation:

  • Stay updated with the latest trends and technologies in data analytics and FMCG.

  • Innovate by exploring new data sources and methodologies to enhance decision-making.

Cross-functional Collaboration:

  • Collaborate with cross-functional teams, including marketing, sales, and finance to align data analysis efforts with business objectives.

Qualifications:

  • Education level: College graduate or postgraduate education; any STEM program

  • Experience: 0.5-2 years in data science and/or analytics

  • Numerate and analytical thinking with experience in retail or consumer-facing FMCG, CPG

Specific Skills:

  • SQL

  • Business intelligence tools

  • Python

  • Spreadsheets

  • Data visualization

  • Dashboards

  • Problem-solver

  • Asks questions and is willing to be trained

  • Can work under pressure and time constraints

  • Good communication and visualization skills

For serious applicants, you can forward your CV via this link : https://forms. gle/ fVv9NdUwtMhH5xxS9

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Employer questions

Your application will include the following questions:
  • What's your expected monthly basic salary?
  • How many years' experience do you have as a data analyst?

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