Karkidi is hiring: Pricing analytics – Data analyst in Palo Alto

As a data analyst in the Pricing Analytics COE, you will work closely with Data engineers and Data scientists, playing a crucial role in data validation and data preparation for our pricing analytics projects. One of your main responsibilities will be to translate the business requirements into technical and data needs, while your second responsibility will be to analyze the data to drive insights that can support monitoring for our live projects.

About you:

• You are a data-driven person, with a passion to identify patterns in the data, identify the root cause, and propose solutions;
• You have experience in creating/maintaining ETL pipelines;
• You have experience with data stewardship, ensuring data accessibility, accuracy, and completeness;
• You are passionate about coding, simplifying the complex, automation, and making processes more efficient.

What you will be doing:

• Collaborate with technical teams to ensure data accuracy, consistency, and availability for analysis;
• Perform UAT on new data feeds and translate business requirements to the Data Engineering team;
• Identify opportunities to simplify and automate data pipelines;
• Conduct data analysis to gain insights into business processes, performance, and trends;
• Identify opportunities to automate data analyses and streamline reporting;
• Leverage ETL pipelines in R/Python as well as analytics/visualization tools like Excel, PowerBI, and Tableau to transform raw data into meaningful insights.

What we are looking for (Must-haves):

• At least 3 years of experience in data analysis and business analysis;
• Experience in any of R, Python, PySpark, Spark;
• Extensive knowledge of Excel, PowerPoint, PowerBI/Tableau;
• Excellent analytical thinking, creativity, and problem-solving skills;
• Strong verbal and written communication/presentation skills;
• Bachelor's or Master's degree in Business, Economics, or any relevant field;

Nice to have:

• Experience with Jira or similar project management and issue tracking tools;
• Experience in deploying ML and data science solutions;
• Experience with data management tools like Databricks or similar;
• Basic understanding of finance and product economics.

About HP:

You’re out to reimagine and reinvent what’s possible—in your career as well as the world around you. So are we. We love taking on tough challenges, disrupting the status quo, and creating what’s next. We’re in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference.

HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere.

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