Data and Analytics Engineer
Ujjain, Madhya Pradesh, India
Engineering Data and Analytics EngineerBangalore / Remotefull-time2-5 years
About the role
About the role Many of our clients run on numbers they cannot easily see: orders in one system, payments in another, leads in a third. You will build the pipelines and dashboards that bring those together, so owners can see how the business is doing without opening five tools. What you will do
- Design and build dashboards and reports for client businesses: sales, cash, customers, operations and people.
- Connect data from CRMs, accounting tools, order systems and spreadsheets, and keep it up to date automatically.
- Clean and model the data, and document where each number comes from.
- Set up tracking for our own and client products: events, funnels and attribution from first click to revenue.
- Check the numbers carefully against source systems, and tell people when they do not add up.
- Work with product and analysts to decide which few numbers matter, and drop the rest.
- Look after performance and access: who can see which data. What good looks like
- A founder opens one screen on Monday morning and knows what needs attention.
- Numbers match the accounting system, and everyone trusts them.
- Pipelines run quietly, and fail loudly when they break. Requirements
Must have
- 2+ years working with data: analytics engineering, BI development, backend development with a data focus or similar.
- Strong SQL, and comfort with a scripting language such as Python or PHP.
- Experience building dashboards in tools like Metabase, Looker Studio, Power BI or a custom web front end.
- Understanding of data modelling and of reconciling data across systems.
- Attention to accuracy and clear documentation. Nice to have
- Experience with Google Analytics 4 and tag management.
- Pulling data through APIs and scheduling jobs.
- Understanding of privacy and consent requirements for tracking.
- Experience with finance or e-commerce data.
Skills
- SQL
- Python
- Dashboards
- Data Modelling
- ETL / Pipelines
- Google Analytics 4
- Metabase / Power BI
- Data Quality