Medior/Senior Business Data Analyst / Bi Engineer @ Nix Tech Kft.

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• Master’s degree in Economics, Mathematics, Computer science, or similar
  
• Upper-intermediate level of English
  
• Experience with BI tools (Power BI, Tableau, Looker etc.)
  
• Experience with DBMS (PostgreSQL)
  
• Experience with DWH (Snowflake, BigQuery, AWS RedShift, etc.)
  
• Full proficiency in SQL (data modeling, queries, analytic/window functions)
  
• Familiarity with data warehouse and ETL pipelines principles
  
• Advanced level of MS Excel
  
• Data mining and data analysis techniques
  
• Experience in translating business needs/requirements into technical specifications (gathering, presenting, estimating, prioritizing, etc.)
  
• A clear understanding of the principles and specifics of software development methodologies (SDLC)
  
• Extensive knowledge of business analysis techniques (use case scenarios, user stories, prioritization techniques, estimation approaches, etc.)
  
• Communication and negotiation skills to establish and maintain good working relationships with external organizations and internal customers
  
• Excellent time-management skills, ability to learn quickly and handle multi-tasking activities
  
• Git/VCS experience
  
• Knowledge of requirements management tools:
  Jira and Confluence
  

NICE TO HAVE:

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• Experience with Python 3 (Pandas, Numpy, etc.)
  
• Cloud tools expertise (AWS, Azure, GCP)
  
• Experience in analyzing data from third-party providers:
  Google Analytics (GTM), AdWords, Facebook Insights, etc.
  
• Experience with Product analytics tools:
  Google Analytics, Amplitude, Mixpanel, etc.
  
• Good understanding of data mining/data analysis methods, working knowledge of statistical methods (correlation, regression, cluster analysis, K-means, decision trees, etc.)
  
• Application to business problems:
  KPI, OKR, Conversions, LTV/CAC, ROI, Cohort analysis, a-ha moment analysis, ABC-analysis
  
• A/B testing techniques
  

NIX, a global supplier of software engineering and IT outsourcing services, is looking for a Business Data Analyst / BI Engineer in its office in Budapest (Vaci Greens, 13th district). You’ll be part of a team of professionals who are ready to find the best tailor-made IT solutions for their multinational clients in various industries and solve complex problems.

WHAT CAN WE OFFER YOU:

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• Competitive compensation packages.
  
• Stable employment, based on a full-time employment contract.
  
• Private health insurance (Medicover), which covers immediate family members.
  
  
• AYCM sport pass, providing discounts at various sports facilities in Hungary.
  
• Interesting tasks and diverse opportunities for developing your skills.
  
• Free training courses.
  
• Participation in internal and external thematic events, technical conferences.
  
• A spacious office in the heart of Budapest (13th district).
  
• All necessary devices and tools for your work.
  
• Active corporate life.
  

If you feel you’re ready to join the team, apply for this job now! We’re already looking forward to meeting you!

,[Identify and define business needs and goals, Design data models for the analytical queries, Interact with customer, product, and engineering teams, Explore, analyze and process massive amounts of data, turning it into actionable business insights, Applying business analysis and product analytics technics and approaches, Specification and elicitation of the requirements, Build automated dashboards and reports to facilitate company-wide awareness and understanding of key metrics using different BI and analytical tools, Perform ad hoc analytic requests to transform data into information] Requirements:
Hungarian Language, DWH, SQL, MS Excel, SDLC, Jira, Confluence, Degree, Python, Google Analytics, Amplitude, BI, Power BI, Tableau, Looker, PostgreSQL, Snowflake, BigQuery, AWS, Redshift, Data modeling, Data warehouse, ETL, Excel, Business analysis, User stories, Git, VCS, pandas, Azure, GCP, Mixpanel, Data analysis, Statistical methods Tools:
Jira, Confluence. Additionally:
International projects, Paid English courses, Mentoring program, Bike parking, Free coffee, Playroom, Shower, Free snacks, Modern office, No dress code.