Over 20 years of market experience, Intellias brings together technologists, creators and innovators in Europe, North and Latin America, and the Middle East. Join our international team and take the mission to solve the advanced tech challenges of tomorrow

What project we have for you

Our client is one of the leading meal kit companies. They re providing more than 120 million meals to > 4 million households worldwide in 14 countries across 3 continents. From procurement tools to conversion rate optimization, live pricing tools, payment services and add-on upselling features, company works on a wide variety of challenging problems.

We are looking for someone with a profile somewhere between a Data Analyst and Analytics Engineer, with enough technical capability to build and own analytical products independently.

What you will do
- Build and maintain analytical dashboards and data applications using Databricks Dashboards and Streamlit.
- Analyse, transform, and validate data using SQL, Python, and Pandas.




- Partner with business stakeholders to translate requirements into actionable metrics, KPIs, and analytical solutions.
- Deliver insights and reporting to support demand forecasting, forecast accuracy, and operational performance.
- Collaborate closely with Data Engineering teams to improve data models, data quality, and reporting capabilities.
- Leverage AI tools and technologies to enhance analytics workflows, reporting efficiency, and decision-making.
- Identify trends, risks, and opportunities through data analysis and present findings to technical and non-technical audiences.

What you need for this
- 5+ years of experience in Analytics Engineering, Data Analytics, or Business Intelligence.
- Strong hands-on experience with SQL, Python, and Pandas.
- Experience working with Databricks and modern data platforms.
- Experience building dashboards and data visualisations using BI tools (Power BI, Tableau, Looker, etc.).
- Robust analytical, problem-solving, and

📌 Sr Analytics Engineer (India)
🏢 Intellias
📍 India