Nagarro

Information Technology And Services

StaffEngineer(DataAnalyst-BusinessIntelligence)

Johannesburg, South Africa FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for not-applicable candidates.

The Brief

“Staff Engineer (Data Analyst - Business Intelligence) at Nagarro. Skills: Data Analysis, Business Intelligence, Python, SQL. Perform deep-dive analysis. Interpret business requirements”

What You'll Achieve.

uncover trends; anomalies; business opportunities; actionable data solutions; clarity; accuracy; relevance; scalable analytics; reporting; technical specifications; reporting frameworks; modern development practices; high-quality outputs

Industry & Context.

Information Technology And Services
Problems you'll solve

highly analytical

What They're Looking For.

Must Have

Data Analysis, Data Visualization, Python, SQL, enterprise databases, DB2, Oracle, Netezza, SQL Server, data modelling, ETL processes, system design principles, MS Excel, pivot tables, advanced formulas, macros

Nice to Have

Degree in Computer Science, Degree in Data Science, Degree in Engineering, Power BI, Tableau

What You'll Do.

Perform deep-dive analysis

Interpret business requirements

Respond to ad hoc reporting

Understand end-to-end data flows

Design and maintain data models

Collaborate with stakeholders

Develop and optimize data pipelines

Support AI/ML initiatives

Utilize MS Excel skills

How You'll Work.

Team & Collaboration

Collaborate with stakeholders

Communication Scope

Excellent communication skills; bridge technical and business domains

Full Job Description

Must Have - Data Analysis and Visualization, Python (Expert),SQL (Strong) Role Summary We are looking for an experienced and technically versatile Data Analyst who excels in data interpretation, business insight generation, and technical development. This role requires a deep understanding of data architecture, system design, and AI concepts, combined with the ability to translate complex data into actionable business intelligence. The ideal candidate is self-driven, highly analytical, and comfortable working across multiple disciplines and technologies. Key Responsibilities * Perform deep-dive analysis across diverse datasets to uncover trends, anomalies, and business opportunities. * Interpret business and project requirements to design meaningful, actionable data solutions. * Respond to and manage multiple ad hoc reporting requests, ensuring clarity, accuracy, and relevance. * Understand end-to-end data flows, from source systems to reporting layers. * Design and maintain data models that support scalable analytics and reporting. * Collaborate with stakeholders to translate business needs into technical specifications and reporting frameworks. * Develop and optimize data pipelines and integrations using modern development practices. * Work with databases such as IBM DB2, Oracle, Netezza (NZ), and Microsoft SQL Server to extract, transform, and analyse data. * Support AI/ML initiatives by preparing data and contributing to model development and deployment. * Manage own workload and priorities effectively, delivering high-quality outputs independently. * Document findings, methodologies, and data logic clearly for both technical and non-technical audiences. * Utilize advanced MS Excel skills for data manipulation, analysis, and reporting. * Leverage Power BI for dashboard creation, data visualization, and stakeholder reporting. Required Skills & Experience * Experience in data analytics, software development, and systems architecture. * Strong proficiency in SQL, P

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