BI Engineer
Bengaluru, India
⚠️ We'll shut down after Aug 1st - try foo🦍 for all jobs in tech ⚠️
About Us
Axi is a leading global provider of margin and deliverable Foreign Exchange, Contracts for Difference (CFDs), and Financial Spread betting. Our business has evolved into a world-class, multifaceted brokerage with offices in six regions. With heavy investment in the latest trading technology, Axi seeks to offer the most comprehensive end-to-end trading experience available, servicing traders of all levels from beginners to institutional-level clients.
At Axi, data drives decisions. We’re hiring a BI Specialist to design and maintain data infrastructure, analyze metrics, and enable smart business choices across marketing, product, and finance.
What You’ll Do
- Design data pipelines and dashboards using SQL, Python (Pandas/NumPy), and JavaScript.
- Execute daily BI operations: data ingestion, validation, and reporting.
- Analyze conversion funnels and marketing attribution; identify root causes of performance drops.
- Collaborate with stakeholders to define metrics, troubleshoot anomalies, and implement improvements.
- Ensure data quality and reliability across all reporting platforms.
- Maintain project flow using tools like Excel and Jira.
About You
- Proficient in SQL, Python, JavaScript, and Excel.
- Experience with Pandas/NumPy; familiarity with funnel analysis and marketing attribution.
- Excellent analytical thinking, structured reasoning, and problem-solving mindset.
- Proactive self-starter with strong attention to detail.
- Highly organized, able to work under tight deadlines.
- Degree in Science or Mathematics—strong academic performance required.
- Fluent in English, with clear communication skills.
Nice to Have
- BI/reporting experience in iGaming, insurance, e-commerce, or online casino industries.
- Experience with BI tools (Tableau, Looker, Power BI).
Axi’s Bag of Delights
- Competitive compensation
- Training, development resources, and certification opportunities
- 18 annual leave days + 12 sick days
- Local public holidays
- Health insurance benefits
Interview Process
- Talent Acquisition Screen (30 mins)
- BI Skills Assessment (1-hour case study or take-home)
- Technical Interview with BI/Product (60 mins)
- Hiring Manager Interview (30 mins)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data pipelines Data quality E-commerce Excel Finance JavaScript Jira Looker Mathematics NumPy Pandas Pipelines Power BI Python SQL Tableau
Perks/benefits: Competitive pay Health care
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