Full-Time Data Analyst (Consumer goods)
Hiflylabs is hiring a remote Full-Time Data Analyst (Consumer goods). The career level for this job opening is Experienced and is accepting Budapest, Hungary based applicants remotely. Read complete job description before applying.
Hiflylabs
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What will you do?
Discovering, understanding, overviewing, and proposing solutions to clients’ business problems using data analytics and visualization.
Assessing, coordinating client dashboarding requirements, and proactively proposing dashboards, KPIs, and information hierarchies that fit business questions.
Designing and developing executive and tactical dashboards, considering best practices of data visualization and client needs.
Enhance clients’ reporting capabilities through reporting governance and knowledge transfer of best practices.
Through data analysis, uncover business opportunities and problems, and formulate and convey recommendations.
Supporting data analysis projects by presenting exploratory analysis results and visually presenting data analysis results.
Cooperating with colleagues from different areas (data engineers, analytics engineers, data scientists) based on project content and team composition.
Creating semantic models behind dashboards as needed.
Supporting the team in developing the professional knowledge base.
What do you need to apply?
2-4 years of relevant professional experience
Advanced knowledge of Power BI
Basic knowledge of data extraction/processing (SQL, dbt, or Spark)
Experience in the Consumer Goods Industry (DTC & Retail)
Strong problem-solving and communication skills
Analytical, numerical skills, and precision for analyzing and controlling complex topics
Client management skills (handling professional discussions about data analytics solutions)
Proactivity and good prioritizing skills
Fluent in written and spoken English
Flexibility and humor
Professional qualification (Business/Economics, Engineering, Statistics, or IT)
Good to have:
Business consultant (Big4 or top-tier) or large company CxO level support background
Domain knowledge in other sectors (telecommunications, FMCG, media, energy, manufacturing, healthcare, e-commerce)
Prior experience with generative AI & Machine learning projects
Knowledge of data management methodologies and/or tools
Knowledge of data visualization tools (Power BI, Tableau, Looker)