Data Analyst

About the Role:

As a Business Data Analyst, you turn data into actionable answers that drive operational and tactical business decisions. You split your time between answering ad-hoc analytical questions, qualifying and delivering data requests, and providing analytical support for ongoing business projects.

You act as a trusted analytical partner to business stakeholders understanding the core problem behind their questions, ensuring existing reporting tools are utilized before pulling raw datasets, leveraging modern AI tools to accelerate delivery, and translating complex data into clear, practical insights.

Key Responsibilities:

- Business Problem Framing: Meet with stakeholders to clarify requirements, challenge baseline assumptions, and translate broad business questions into structured analytical tasks.
- Ad-Hoc & Diagnostic Analysis: Independently run exploratory and deep-dive analyses on operational data to uncover patterns, identify root causes, and explain the "why" behind business performance trends.
- Project Analytics Support: Deliver data analyses, establish baseline metrics, and track progress for cross-functional initiatives and business projects.
- Data Request Gatekeeping & Qualification: Critically evaluate incoming requests for data extracts. Determine whether the business question can already be answered via existing Tableau dashboards or standard reports before generating custom outputs.
- Access Control & Governance: Confirm that stakeholders have appropriate data access rights and verify that a standalone extract is genuinely needed before sharing data.
- Data Extract Delivery: Write and execute verified SQL queries to extract, filter, and deliver validated datasets when existing reporting solutions do not meet the need.
- Analysis Storytelling & Visual Presentation: Build project-specific Tableau dashboards, charts, and visual decks to present analytical findings and communicate key takeaways clearly to non-technical stakeholders.
- BI Handover & Industrialization: Identify recurring reporting needs arising from your analyses and work with the central Business Intelligence (BI) team to hand over requirements for production, automated, and recurring enterprise dashboards.
- AI-Assisted Efficiency: Actively leverage modern AI tools (e.g., LLMs, code assistants) to accelerate SQL query generation, debug scripts, structure ad-hoc analyses, and streamline routine analytical workflows.
- Data Quality & Validation: Inspect source data across databases and cloud platforms to ensure all analyses, extracts, and presentations are reliable, consistent, and accurate.

Qualifications:

- Education: Bachelor’s or Master’s degree in Business, Information Management, Economics, Computer Science, or a related field.
- Experience: 2 to 4+ years of practical experience in a data analysis role supporting business decision-making.
- Technical Skills: Strong SQL skills to independently query, join, filter, and aggregate data across relational databases and cloud environments.
- Practical experience creating visuals and analytical dashboards in Tableau (or similar modern BI tools) to present insights.
- Practical familiarity with AI-assisted coding and productivity tools (such as Gemini, Claude, or similar LLM assistants) to speed up analysis, query writing, and documentation.
- Working knowledge of Python or R for exploratory analysis, statistical evaluation, or data manipulation is an advantage.

- Data Platforms: Practical familiarity with cloud data warehouses (e.g., Google Cloud BigQuery) and data warehouse concepts.
- Analytical Mindset & Gatekeeping: Strong ability to frame ambiguous business problems, paired with the assertiveness to challenge requests and guide users toward existing dashboards instead of defaulting to raw data dumps.
- Communication & Collaboration: Excellent verbal and written communication skills in English; capable of translating technical findings into plain business language and collaborating effectively with the central BI team for reporting handovers.

What We Offer

- A versatile analytics role balancing strategic project analysis with rapid operational problem-solving.
- Direct access to modern cloud data platforms and analytics tools (GCP BigQuery, Tableau).
- A forward-looking work culture that encourages the use of modern AI assistants to boost day-to-day productivity.
- Clear interfaces between exploratory analysis and central BI delivery.
- High autonomy and visibility across business departments.
- Competitive salary and comprehensive benefits package.

PEOPLE ARE AT OUR HEART:

TVH is a global business with a family atmosphere, where people are at the center. We value clarity, mutual respect, kindness and open communication. Our people are down-to-earth, easy to work and engage with. We welcome differences and celebrate new ideas.

ABOUT TVH:

TVH is a parts specialist for quality parts and accessories for material handling, industrial vehicles, and construction and agricultural equipment. Working at TVH is opting for a company that excels as an international market leader and is well-known for its unstoppable craving for innovation.