Data Analyst, Controlling

Jobtailor; Jönköpings kommun; On-site; SEK 520,000 - 760,000; Full time

Job summary

Jobtailor is seeking a data analytics professional to transform data into profitability insights and actionable decisions. You will analyze performance, support pricing and cost optimization, and collaborate with IT to design datasets and models.

Build dashboards to inform strategy and ensure data quality across reports. You will work with controllers and business stakeholders, applying AI tools to improve efficiency, learn from insights, and automate recurring analyses while communicating

Qualifications

• Relevant academic background in finance, economics, data, or engineering.
• Initial experience in data analysis, reporting, or finance, with interest in AI tools.
• Experience with BI tools (Power BI), Excel, and data handling.
• Proficiency in SQL and Python for analytics and tooling development.
• Ability to explain data-driven insights clearly to controllers and stakeholders.
• Structured, proactive, and collaborative, with fluency in English.

Responsibilities

• Turn data into profitability‑improving actions.
• Analyze performance and support pricing, cost optimization, and resource allocation decisions.
• Engage with stakeholders, ask the right questions, and continuously improve data usage.
• Design structured datasets and models with IT.
• Analyze financial and business data to identify trends, drivers, and deviations.
• Explore and apply AI and advanced analytics tools to improve efficiency, quality, and insight.
• Ensure data quality and a single source of truth across reports and forward looking analyses.
• Build, maintain, and improve reports and dashboards for decision‑making.
• Collaborate with controllers and business stakeholders to understand needs and translate into analysis.
• Support controllers with deeper analysis, scenario modelling, and ad hoc questions.
• Communicate insights clearly to non-financial stakeholders.
• Identify opportunities to automate recurring analyses and reporting.

Skills

Data Analysis

Financial Analysis

SQL

Python

Excel

BI Tools

Data Handling

Scenario Modelling

Automation

Vibe Coding

Education

Bachelor’s degree in finance, economics, data science, or a related field

Tools

Power BI

Excel

Job description

Responsibilities

• Focus on turning data into profitability-improving actions
• Analyze performance, identify improvement opportunities, and support decisions related to pricing, cost optimization, and resource allocation
• Engage with stakeholders, ask the right questions, and continuously improve how data and analysis are used to support profitable business outcomes
• Design structured datasets and models together with IT
• Analyze financial and business data to identify trends, drivers, and deviations
• Explore and apply AI and advanced analytics tools to improve efficiency, quality, and insight
• Ensure data quality, consistency, and “single source of truth” across reports and forward looking analyses
• Build, maintain, and continuously improve reports and dashboards for decision-making
• Collaborate closely with controllers and business stakeholders to understand their needs and translate them into meaningful analysis
• Support controllers with deeper analysis, scenario modelling, and ad hoc business questions
• Communicate insights clearly and confidently to non-financial stakeholders
• Identify opportunities to automate recurring analyses and reporting

Requirements

• Relevant academic background (e.g. finance, economics, data, engineering, or similar)
• Initial experience and/or strong interest in data analysis, reporting, or finance, with practical experience or curiosity towards modern AI tools
• Experience with BI tools (e.g. Power BI), Excel, and data handling
• Competence in AI-assisted analytics and vibe coding, enabling fast experimentation, insight generation, and data tool development, with a strong foundation in SQL and Python
• Ability to interact confidently with controllers and business stakeholders, and explain data-driven insights in a clear and structured way
• Capability and proof of use-cases with AI, automation, and new analytical tools
• Analytical mindset with a willingness to challenge numbers and ask “why”
• Structured, proactive, and collaborative way of working
• Fluency in English

ATS Optimization Keywords

Hard Skills

• Data Analysis
• Financial Analysis
• SQL
• Python
• Excel
• BI Tools
• Data Handling
• Scenario Modelling
• Automation
• Vibe Coding

Soft Skills

• Analytical Mindset
• Proactive Collaboration
• Effective Communication
• Stakeholder Engagement
• Curiosity