MOL Group is an independent and international oil and gas company, headquartered in Budapest, Hungary. It is active in over 40 countries with a dynamic international workforce of 26,000 people and a track record of more than 100 years in the industry.
Are you excited about translating data into insights, actions, and business growth? Do you thrive on transforming the business with innovative, big data analytics and AI solutions and forging strong partnerships with clients? Are you interested to build your career and grow every day in a leading-edge organization of top digital and business talents? If so, we have an exciting opportunity for you to join our team as
Data Analytics Business Consultant
At MOL Group’s Digital Factory we are leading the digital transformation of the Group Consumer Services Business Unit, committed to build a competitive edge and deliver business growth with big data, analytics and AI innovations across markets and cultures in Central Europe. As the Data Analytics Business Consultant, you will play a crucial role in leading the further expansion and penetration of our data analytics capabilities and service portfolio in the business, leveraging on the billions of integrated and standardized data points in our central data warehouse. You will be responsible for leading the actionable design and implementation of custom-built advanced analytics tools addressing key business problems and opportunities, and for providing data analysis and business insights to our clients across the Consumer Services Business Unit.
MAIN RESPONSIBILITIES
· Understand the key business strategies and growth opportunities of Group Consumer Services, based on that define the business needs and translate those into actionable and efficient data analytics solutions and outcomes.
· Contribute to the development and lead the effective business implementation of the data, reporting, advanced analytics and AI/ML solutions and tools, working in a versatile, agile development squad collaboratively with data analysts, product owners, BI developers, data engineers, data scientists, data architects and business partners.
· Generate meaningful business and customer insights that drive the business implementation of cutting-edge data analytics solutions across markets and business teams.
· Engage with the business teams for turning the data-based insights, opportunities and recommendations into action through the relevant business and decision-making processes.
· Ensure that the applied analytical methods, techniques deliver efficient data solutions and user experience that address the business requirements and deliver quantifiable business growth impact.
· Perform ad-hoc data analysis and craft impactful reports and visualizations (dashboards, management presentations) and formulate recommendations as appropriate for driving action (preferred dashboarding platform is Microsoft Power BI).
· Build the capabilities of the business partners to transform the data acumen of the organization and promote data-based decision making in everything we do.
· Identify gaps and issues with current data landscape, and contribute to the design and the delivery of solutions to resolve them
EDUCATION, SKILLS, EXPERIENCE
Education/ licencing/ certification requirements
· Bachelor’s degree; Master’s degree is a plus
Professional competencies
· Business or strategy consultancy
· Data analysis
· Experience working with big data and AI/ML solutions
· Knowledge of consumer services, consumer products or retail domain
Skills
· Excellent influencing and communication skills (both written and verbal)
· Strong analytical mindset and problem-solving skills
· Outstanding business acumen and personal leadership
· Ability to work in a fast-paced environment, managing multiple tasks in parallel
· Readiness to learn and develop new skills
Experience
· 3+ years of experience in consulting, or data analysis, data visualization
· Awareness of fundamental data analysis methods and statistical concepts
· Familiarity with machine learning and other data science methods is a plus
Language(s)
· Fluency in English
· Knowledge of one Central Eastern European language is preferred
IT skills
· Knowledge of big data analysis and visualization tools (e.g., MS Power BI, Tableau)
· Professional usage of Microsoft Office
· Not required, but a plus: knowledge of one or more languages prevalent in data analytics (e.g., SQL, R, Python)
Other
· Strong attention to details while able to understand the big picture
· Proactive mindset, positive attitude and a strong sense of ownership and team mentality
· Strong growth mindset, eagerness to learn and grow
· Openness to different cultures across CEE
· Experience in working in agile / scrum environment is a plus
ABOUT DIGITAL FACTORY AND MOL GROUP CONSUMER SERVICES
MOL Group established its standalone Consumer Services Business Unit as part of MOL Group’s 2030 – Enter Tomorrow strategy. The mission of Consumer Services is to transform the traditional fuel retailing business into a true consumer goods retailer and mobility services provider holding market leadership in the sector in Central Europe. Digital transformation is at the heart of the ambitious Consumer Services strategy, driven by the Digital Factory, which deploys leading edge digital transformation capabilities into the business. A crucial element of the successful digital transformation is the strong analytical capability led by the Group Data Analytics team within Digital Factory. Data Analytics continuously develops and operates an extensive data warehouse, covering 6 countries to date. Data Analytics provides the backbone of data-based decision making in Consumer Services via an extensive BI reporting ecosystem and through delivering custom analytics, advanced analytics and AI based models and tools. On top of data analytics, Digital Factory leads the digital transformation also in the areas of customer loyalty program, omnichannel experience and digital payment, providing versatile career opportunities for top talents.
Business Consultant Business Intelligence (BI) Data Analyst Tableau SQL Artificial intelligence (AI) Python Machine Learning R Power BI