Business Data Analyst

Innio; Hungary (CT); Hybrid; USD 70,000 - 90,000; Full time

Job summary

A global technology company is seeking a Business Data Analyst to enhance data-driven decision-making. This role involves analyzing large datasets, developing reporting systems, and partnering with stakeholders. Key qualifications include a relevant degree, fluency in English, and at least 3 years of experience in data analytics. This position offers a hybrid work environment and various benefits to support personal development and work-life balance.

Benefits

Young & supportive team

Career development support

Cafeteria package

Hybrid working hours

Health package

Free coffee and tea

AYCM pass for active lifestyle

Qualifications

• Completed university studies in a relevant field.
• Fluency in English (both written and spoken).
• 3+ years of experience in data analytics or business intelligence.

Responsibilities

• Execute and support analyses for data-driven decision-making.
• Identify gaps and issues in data quality.
• Develop metrics and dashboards for stakeholders.

Skills

Data analytics

Business intelligence

Statistical analysis

SQL

Python

Data visualization

Excel

Education

Degree in Business, Data Science, Computer Science, Information Management, Statistics, or Mathematics

Tools

Databricks

Spark

Job description

Overview

As a Business Data Analyst with focus forData & AI at INNIO you will drive and support the development, implementation, and improvement of INNIO’s data-driven management control approach. This includes the analysis of large data sets to derive actionable insights, identify trends, define KPIs and building a link to the companies’ strategy. At the very heart of this steering approach is the design and implementation of a holistic reporting system with a 360-degree view to address and understand the key questions: 'what has happened and why' and 'what will happen' and 'how can it be actively influenced’.

Benefits

• Young & supportive team - in a fast-growing international business environment
• Learn & develop yourself - help you craft your career path with (INNIO learning, free language courses according to business needs
• Hybrid working - 50% Office, 50 % Home Office with flexible working hours
• Cafeteria package with various options - SZÉP Card, Cash option, Nursery & kindergarten support
• Medicover Spring White Package- from the first day of employment
• Easily accessible location - in the heart of the most vibrant campus area in Budapest (location: 13rd District, easy to approach by Metro Line 3)
• Take a break - Recharge your batteries with free coffee and tea selection in the kitchen area
• Live an active lifestyle – activate your AYCM pass

Responsibilities

• Execute, and support advanced analyses that aid data-driven decision-making and process automation
• Identify process gaps and data quality issues impacting the quality of analysis and provide and/or support the development of solutions
• Conceptualize, design, and implement reports to drive measures supporting Innio’s global strategy
• Partner with stakeholders to design and develop reports and ensure that they perform as expected
• Identify trends from sources of raw data to increase the efficiency of the company’s global organizations
• Participate in the development of metrics and data quality rules, including dashboards, KPIs, and other measurements of success for business stakeholders, allowing them to drill into key aggregated values

Qualifications

• Completed university studies with a focus on Business & administration, data science, computer science, information management, statistics, mathematics, or equivalent
• Fluency in English (both written and spoken)
• Professional experience in data analytics, business intelligence, financial or operational reporting
• Profound experience using Databricks and Spark
• Strong knowledge of and at least 3+ years of experience in statistical analysis with large data sets using SQL or Python
• Profound knowledge of MS Excel (specifically advanced formulas, pivot tables and charts) including experience building complex reports and models
• Daily usage, solid experience in data analytics, business intelligence, financial or operational reporting, with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Ability to summarize large amounts of complex data into (management) reports, including experience in data visualization and data storytelling to drive actionable insights and decision-support