Data Analyst
hace 2 meses
About Dow Jones
Dow Jones is a leading global provider of news and business information, delivering content to consumers and organizations worldwide across multiple formats, including print, digital, mobile, and live events.
Our Technology Team
Our Technology team drives the evolution of our Technology, Engineering, Data, Product, and User Experience functions. With a keen focus on delivering cutting-edge solutions, we shape the digital landscape for our customers, readers, and users.
About the Role
The B2C Analytics team focuses on developing analytics solutions to help the organization make better data-driven decisions. Our team is passionate about enabling others to use data and analysis to measure and monitor performance, identify risks and opportunities, and find ways to continually add value.
Key Responsibilities
- Develop stakeholder partnerships with Product, Marketing, Newsroom, Finance, Data Collection, Data Engineering, and other B2C stakeholder business teams.
- Execute data project roadmaps based on business teams' priorities.
- Build a thorough understanding of all B2C data sources used in analysis projects.
- Partner with data engineers and data collection colleagues to collect, cleanse, and consistently organize data.
- Analyze large datasets to surface trends and deliver recommendations with tangible business outcomes.
- Create intuitive reports, dashboards, and data solutions using visualization tools.
- Continuously identify ways to improve and streamline processes around data and reporting.
- Ensure the quality of data and reporting, and partner with teams to improve accuracy and consistency.
Requirements
- Team-oriented and collaborative with a willingness to help others and be challenged and learn.
- Self-starter able to work independently, coordinate with multiple partners, and complete projects start to finish.
- Detail-oriented with a focus on assuring quality, consistency, and accuracy in data and processes.
- Undergraduate degree or equivalent in a quantitative field such as Data Science, Statistics, Mathematics, or related disciplines.
- Experience working with large datasets in a fast-paced and fluid environment with the ability to understand and solve complex non-routine problems.
- Experience with SQL and strong knowledge of Excel/Sheets required. Familiarity with GitHub, Python/R preferred.
- Experience with web analytics tools (particularly Google Analytics 4 and Adobe Analytics) is a plus.
- Experience with data visualization tools and techniques, and using data to tell a story.
Our Benefits
- Comprehensive healthcare plans.
- Paid time off.
- Retirement plans.
- Comprehensive insurance plans.
- Lifestyle programs and wellness resources.
- Education benefits.
- Family care benefits and caregiving support.
- Commuter transit program.
- Subscription discounts.
- Employee referral program.
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