Techanical Business Analyst - (SAP BW, Python, SQL, Power BI)
Unison Group Open · verified Oct 24, 2026 On-site Hyderabad Bengaluru Mid-level Data Analysis & BI
At a glance
Mid-level Data Analysis & BI role at Unison Group. Hyderabad.
Pay not stated Data Analysis & BI salary
RoleData Analysis & BI
SeniorityMid-level
LocationHyderabad
WorkplaceOn-site
PostedSep 22, 2026 · 4w ago
Also hiring inBengaluru
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Turn business needs for data, reporting and analytics into technical specifications, mappings, KPIs and documented rules
- Analyze SAP and other source data, using complex SQL to validate, reconcile and investigate discrepancies
- Use Python to transform and check data, and automate reporting or other data processes
- Build and maintain Power BI dashboards and reports, including their data models
- Coordinate data-product checks, UAT and issue fixes with technical teams through production rollout
What you bring
- You have worked as a technical business analyst or business data analyst, with hands-on SAP BW experience
- You can write complex SQL for joins, aggregations, analysis and data validation
- You have practical Python skills for analyzing data and automating work
- You have built Power BI dashboards and understand data modelling and DAX
Who this fits
This role suits a mid-level analyst who can connect business requirements with data and reporting work, and present findings to business and senior stakeholders. The position is onsite in Hyderabad.
From the employer
Job Summary
We are looking for a Technical Business Analyst with strong experience in SAP BW, SQL, Python and Power BI. The role requires a combination of business analysis, data analysis and technical understanding to translate business requirements into effective data and reporting solutions.
Key Responsibilities
- Gather, analyze and document business requirements related to data, reporting and analytics.
- Work closely with business stakeholders, data engineers, developers and technical teams to translate business requirements into technical specifications.
- Analyze data from SAP BW and other SAP/non-SAP data sources.
- Develop and execute complex SQL queries for data analysis, validation and reconciliation.
- Use Python for data analysis, transformation, validation and automation of reporting/data processes.
- Develop, enhance and maintain Power BI dashboards and reports.
- Define data mappings, business rules, KPIs and reporting requirements.
- Perform data profiling, quality checks, reconciliation and root-cause analysis for data issues.
- Support data extraction, transformation and integration requirements across multiple systems.
- Validate data products and ensure data accuracy, completeness and consistency.
- Collaborate with technical teams on data models, ETL processes and reporting solutions.
- Prepare functional and technical documentation, including BRD, FRD, data mapping and process documentation.
- Support UAT, defect analysis, issue resolution and production implementation.
- Present analytical findings and dashboards to business and senior stakeholders.
Required Skills
- Strong experience as a Technical Business Analyst / Business Data Analyst.
- Hands-on experience with SAP BW and SAP data environments.
- Strong SQL skills with experience in complex queries, joins, aggregations and data validation.
- Good working knowledge of Python for data analysis and automation.
- Strong experience in Power BI, including dashboard development, data modelling and DAX.
- Understanding of ETL/data pipelines, data warehousing and data modelling.
- Experience working with large and complex datasets.
- Strong analytical, problem-solving and stakeholder management skills.
- Ability to translate business requirements into technical/data requirements.
- Good communication and documentation skills.
Preferred
- Experience with SAP BW/4HANA or SAP HANA.
- Knowledge of Power BI DAX, Power Query and data modelling.
- Experience with data quality, governance and reconciliation processes.
- Exposure to cloud data platforms and modern data engineering environments.
- Experience working in Agile/Scrum environments.
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