Data Insights Leader
hace 3 semanas
At Dow Jones, we're a leading source of news and business intelligence. Our OPIS division provides real-time and historical data on petroleum pricing and news information. We deliver award-winning insights to the refined energy marketplace and companies striving to go carbon neutral.
About the TeamOur Data Science & Analytics team is a collaborative group of experts dedicated to tackling intricate data challenges. We leverage extensive industry knowledge, robust analytical skills, and a practical approach to address our organization's most complex business dilemmas.
About the RoleAs a Lead Data Analyst, you'll lead our efforts in harnessing the power of data and analysis to deliver actionable insights. Through advanced visualizations, precise report presentations, and captivating data narratives, you'll drive informed decision-making and uncover valuable insights that propel our organization forward.
Key Responsibilities- Work closely with OPIS Product Management and other Business teams to steer business requirements and lead the development of 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.
- Degree in data analytics, or related technical field or equivalent experience.
- 4+ years of industry experience in data analytics.
- Strong analytical skills, proficient in SQL and Python programming.
- Expertise in data visualization tools like Power BI, Tableau, or Looker.
- Expertise in design and development of data modeling for BI tools.
- Strong experience with qualitative and quantitative methods, trend and cross-sectional data, and data integration to achieve project goals.
- Strong understanding of statistics and their application to business problems.
- Strong business acumen and ability to handle complex business requirements.
- Leadership abilities in complex analytical projects.
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