Data Analyst
Bangalore Full-time Mid-level Data Analysis & BI
At a glance
Mid-level Data Analysis & BI role at Black Box Careers. Bangalore · full-time.
Pay not stated Data Analyst salary
RoleData Analysis & BI
SeniorityMid-level
LocationBangalore
EmploymentFull-time
PostedNov 10, 2026
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Prepare structured and unstructured datasets for analysis by cleaning them and checking their accuracy
- Keep automated data pipelines and reporting solutions running, and create interactive dashboards with BI tools
- Use financial and operational data to find trends, anomalies, and possible opportunities
- Help with budgeting, forecasting, and performance reporting activities
- Write SQL queries and build Python or VBA automations, using Power Query and Advanced Excel for reporting
What you bring
- You can write efficient SQL to retrieve, transform, and analyze data
- You have experience developing automation with Python and VBA
- You can use Power Query and Advanced Excel to prepare data and produce reports
Who this fits
This role suits someone focused on financial and operational analysis, reporting, and process automation. The role is based in Bangalore, India.
From the employer
Key Responsibilities
- Collect, clean, validate, and analyze structured and unstructured datasets.
- Develop and maintain automated data pipelines and reporting solutions.
- Build interactive and insightful dashboards using BI and visualization tools.
- Perform financial and operational data analysis to identify trends, anomalies, and opportunities.
- Support budgeting, forecasting, and performance reporting activities.
- Write efficient SQL queries for data extraction, transformation, and analysis.
- Develop Python and VBA-based automation solutions to improve process efficiency.
- Utilize Power Query and Advanced Excel capabilities for data transformation and reporting.
- Collaborate with finance and business stakeholders to understand reporting and analytical requirements.
- Create documentation for data models, processes, dashboards, and automation workflows.
- Ensure data accuracy, consistency, and governance across reporting systems.