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 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. Join us in shaping the future of data-driven initiatives within our team.

You Will:

• 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

You Have:

• 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 

• Ability to work independently and collaboratively, focusing on high-quality results

• Passionate about telling data stories through visualization and dashboards

• Detail-oriented with a focus on accuracy and precision 

• Bachelor’s degree in a quantitative field (data science, statistics, finance, mathematics, engineering, or related) 

• Strong understanding of web analytics tools is a plus

• Must speak and write in English fluently; Effective communicator

Our Benefits

• Pension Scheme: Company contributes up to 8% of your salary with matching contributions.

• Healthcare Coverage: Comprehensive health plan with unlimited coverage, including outpatient care, dental, and maternity.

• Life & Disability Insurance: Coverage from day one, including life insurance at 2X salary and accident coverage up to 4X salary.

• Wellness Programs: Access to wellness platforms, mindfulness apps, and free fitness classes.

• Meal & Teleworking Allowance: Monthly meal card and teleworking allowance.

• Flexible Working: Ability to work from home 2 days per week with the option to work remotely for 1 week per quarter.

• Family Care Support: Up to 4 weeks of paid compassionate leave and a generous reimbursement for emergency care.

• Referral Bonus: Earn a bonus for recommending great talent to join us.

 

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Inclusion and diversity are critical to the success of Dow Jones, and we actively encourage applications from people of all backgrounds. We are committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, status as a protected veteran, or any other protected category. For more information on the many ways in which we enthusiastically support inclusion and diversity efforts for both candidates and employees.  

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Current Colleagues 

If you are currently employed by Dow Jones, please apply internally via the Workday internal careers site. 

 

Reasonable accommodation: Dow Jones, Making Careers Newsworthy - We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. 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 [email protected]. 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:

Dow Jones - OPIS

Job Category:

Data Analytics/Warehousing & Business Intelligence

Union Status:

Non-Union role