Data Analyst - Remote in the US

Job description

Talentify helps candidates around the world to discover and stay focused on the jobs they want until they can complete a full application in the hiring company career page/ATS.


At first glance, you’ll see Hiring Company’s scale. With $22.3B revenue, our 69,000 associates work across the globe at more than 25 unique operating companies within four platforms — life sciences, diagnostics, water quality, and product identification.

Career development is important to us - you’ll find associates who are as certain about their impact as they are about where they’re headed next. You’ll find the Hiring Company Business System, which makes everything possible. You’ll also see a company that investors trust—our culture of continuous improvement has helped us outperform the S&P 500 by more than 5,000% over the past 25 years.

We hope you’ll see yourself here, too. What you find at Hiring Company — and within yourself — might just change the world.

Who We Are

PANTONE provides a universal language of color that enables color-critical decisions through every stage of the workflow for brands and manufacturers.


We are looking for an experienced Data Analyst, preferably one with sufficient Data Engineering skills to support themselves.

As a Data Analyst, you will communicate with product owners and other executives to understand and prioritize information needs. Your deliverables will turn information into insights that will contribute to business decision-making.

You will collaborate with the product engineering team to understand what data is currently available and contribute requirements to add the necessary functionality to capture additional data required to meet the business’s information needs.

You will interact with the IT organization to define and operate the Data Analytics Platform that will support the work you will perform. You will be familiar with modern data stewardship practices, including those relating to security and privacy.

Within Your Role, You Will

  • Identify data that will need to be analyzed
  • Collect data from multiple sources
  • Organize and maintain databases used for data analysis
  • Filter and clean data in preparation for analysis
  • Monitor and manage data quality
  • Analyze data to extract information and identify patterns or trends
  • Interpret the results of analysis, communicating with language and visualizations, to support decision making

Your Education And Background Experience Will Include

  • 2+ years of relevant experience with:
  • Microsoft Power BI
  • Microsoft Excel
  • SQL
  • Apache Spark / AWS Glue
  • Python
  • JavaScript/TypeScript
  • Experience with web-based product businesses, their operations and data analysis needs
  • Prior eCommerce data experience preferred.
  • Experience with cloud-bas

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