Data Analyst

hace 7 días

Barcelona, Barcelona, España Dow Jones A tiempo completo
About the Role:
We are seeking a highly skilled Data Analyst to join our team at Dow Jones. As a Data Analyst, you will be responsible for developing analytics solutions to help the organization make better data-driven decisions. You will support the Consumer side of the business, which includes WSJ, Barron's, MarketWatch and more; but may also include exposure to other areas of the business, such as advertising and the professional information business. The ideal candidate will have previous experience in developing datasets, dashboards and data solutions that drive core insights. You will report to the Senior Manager, B2C Analytics.

Your Responsibilities:
Develop partnerships with Product, Marketing, Newsroom, Finance, Data Collection, Data Engineering and other B2C Stakeholder Business teams and work across all levels and areas of the organization. Execute data project roadmaps based on Business teams' priorities. Build a thorough understanding of all the B2C data sources that we leverage in our 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 (e.g. Tableau, Looker Studio). 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. Communicate technical information to both technical and non-technical audiences.

Your Qualifications:
Team oriented and collaborative with eagerness to help others, and aspiration to be challenged and learn. Self-starter able to work independently, coordinate with multiple partners and complete projects start to finish. Detail oriented with focus on assuring quality, consistency and accuracy in data and processes. Undergraduate degree or equivalent in combination of training and experience, preferably 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 visualizations tools and techniques, and using data to tell a story (e.g. Tableau, Looker).

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