Are you an analytical thinker with a high level of attention to detail? Do you enjoy problem solving, data research, and helping customers with complex business solutions?
We’re looking for a Data Transformation Analyst/Customer Support Associate within the OPIS Retail Fuels Division. In this hybrid role, you will:
Maintain the data quality for retail fuels pricing, station, and amenities data across North America and Australia, eventually expanding globally.
Run quality control processes to correct or eliminate incorrect or invalid data points according to OPIS methodology.
Assist the retail business development and product development teams in data reliability goals.
Provide sales support by creating historical data files, setting prospective clients up on trials of our services, and answering questions regarding data methodology and data quality.
Continue the OPIS legacy of providing the highest-quality customer support in the industry.
We’re OPIS, a Dow Jones company. In this role, you will be joining the OPIS Retail Data Quality Team primarily located in the United States, with remote workers globally. This team of 10 direct colleagues and many secondary colleagues is part of a high-growth division that manages the quality of retail fuel pricing and station data. OPIS Retail team members work with fuel retailers and convenience store operators to provide data and analytics that help them optimize their business operations and run more profitably and efficiently.
You’ll also work with other industries that utilize OPIS data, such as connected cars and mobile app/web clients who display OPIS real-time retail fuel prices and station information directly to consumers. And in a world where the reliance on fossil fuels is slowly diminishing as we look for cleaner and more sustainable energy options, OPIS is diversifying and future-proofing our business by expanding into clean energy, alternative fuels, and data and analytics for electric vehicles, while still providing world class data and products for the energy that moves us today.
A bachelor’s degree. Business, Data Analytics, and Mathematics degrees are a strong fit for this role.
1-2 years of prior experience with data management and/or customer service.
Fluency in English, both written and oral, with other language skills desirable based on our global customer base.
Knowledge in data visualization/analytics tools such as Power BI or Tableu and a fluency in all MS Office applications, with advanced Excel expertise a priority. Proficiency in SQL Server Management Studio, R, or Python is a plus, but not required.
10:30pm – 7:30am Malaysia Time (MYT) – U.S. Shift
Comprehensive Insurance & Retirement plans
Paid Time Off and Leaves
Family Care Benefits
Career Growth Programs
Access to Dow Jones Products
Employee Referral Program
Employee Well-being Support & Fitness Programs
Reasonable accommodation: Dow Jones, Making Careers Newsworthy - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status. EEO/AA/M/F/Disabled/Vets. Dow Jones is committed to providing reasonable accommodation for qualified individuals with disabilities, in our job application and/or interview process. If you need assistance or accommodation in completing your application, due to a disability, email us at firstname.lastname@example.org. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.
Business Area: OPIS
Job Category: Quality Management
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Req ID: 38313