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Data Analyst - Remote

Posted Yesterday
Data Analysis
Full Time
Worldwide
$95,000 - $110,000/year

Overview

The Data Analyst at Datavations plays a crucial role in delivering insights from point-of-sale and retail sales data to manufacturer clients, leveraging AI tools for enhanced analysis.

In Short

  • Conduct custom analysis of POS and retail sales data.
  • Manage client relationships and expectations.
  • Translate business problems into research frameworks.
  • Write SQL queries and Python scripts for data analysis.
  • Design frameworks and processes for the research team.
  • Provide data-backed insights for marketing content.
  • Test and provide feedback on the AI-powered analytics platform, Bolt.
  • Evaluate analytical outputs for accuracy and relevance.
  • Collaborate with cross-functional teams.
  • Work in a fast-paced, startup environment.

Requirements

  • 2+ years of experience in data analysis or research.
  • Experience with POS or retail sales data.
  • Strong SQL skills.
  • Proficiency in Python for data analysis.
  • Expertise in Excel and PowerPoint.
  • Strong client-facing communication skills.
  • Experience with Git and GitHub.
  • Self-starter mentality.
  • Ability to work in a fast-paced, startup environment.

Benefits

  • Impact at scale in a $2.3 trillion industry.
  • Autonomy to experiment with new technologies.
  • Collaborative culture with a supportive team.
  • Professional development with the latest AI technologies.

Datavations

Datavations

Datavations is a leading provider of SKU and store-level point-of-sale data specifically tailored for the home improvement retail industry. The company serves manufacturers selling through major retailers like Home Depot, Lowe's, and Menards, offering essential data intelligence to enhance their market performance. Datavations is at the forefront of innovation with its AI-powered analytics platform, Bolt, which revolutionizes client interactions with data by transitioning from manual analysis to conversational, self-service intelligence. The company emphasizes a collaborative culture, professional development, and the impact of data science on a $2.3 trillion industry.

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