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hace 3 semanas

Barcelona, España Dow Jones A tiempo completo

.Job Description: About Our Organization: OPIS, a Dow Jones company, is one of the world's most comprehensive sources for petroleum pricing and news information. OPIS provides real-time and historical spot, wholesale/rack, and retail fuel prices for the refined products, renewable fuels, chemicals, and natural gas and gas liquids (LPG) industries. We deliver award-winning news, market intelligence, and transparency to the refined energy marketplace and companies striving to go carbon neutral. At its core, OPIS leverages cutting-edge IT systems and tools, reliably managing vast amounts of data and providing customers with efficient business applications. About the Team: The OPIS Data Science & Analytics team is a collaborative group of Data Scientists, Data Analysts, and Data Engineers dedicated to tackling intricate data challenges. Our team leverages extensive industry knowledge, robust analytical skills, and a practical approach to address our organization's most complex business dilemmas. About the Role: As a Senior Data Analyst, you'll play a pivotal role in our data-driven initiatives, utilizing your expertise to extract actionable insights from complex datasets. You'll contribute to informed decision-making across our organization through meticulous analysis and insightful reporting. Join us in making a meaningful impact through data analysis and interpretation. You Will: Work closely with OPIS Product Management and other Business teams to translate business requirements to create analytics visualizations and customer-facing dashboards. Gain an in-depth understanding of all OPIS data sources and design advanced data models tailored to complex analytics needs. Conduct deep-dive investigations and leverage advanced analytics techniques using BI tools like Power BI, Tableau, or Looker to create complex visualizations and dashboards, and define metrics. Communicate insights clearly to tell a compelling business story; Perform strategic analysis to identify new business opportunities. Effectively communicate technical information to both technical and non-technical stakeholders, and collaborate with agile product teams on data discovery, cleansing, mapping, profiling, mining, and modeling. You Have: Degree in data analytics, or related technical field or equivalent experience. 2+ years of industry experience in data analytics. Proficiency in SQL and Python, and basic knowledge of Excel/Sheets. Strong experience with data visualization tools and techniques (e.G., Power BI, Tableau, Looker). Experience in the development of data modeling for BI tools. Experience with qualitative and quantitative methods, trend and cross-sectional data, and data integration to achieve project goals. Team-oriented and collaborative with a desire to learn and contribute. Self-motivated with the ability to work independently and as part of a team. Detail-oriented with a focus on quality and accuracy in data and processes

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