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).
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