Senior Sap Bi Consultant

Smartrecruiters, Inc.; Gauteng; Hybrid; ZAR 500,000 - 800,000; Full time

Job summary

NTT DATA is seeking a Senior Associate Business Intelligence Analyst to transform data into actionable insights using analytics, visualization, and modeling. You will collaborate with multiple teams to translate business needs into reports and dashboards and drive data‑driven decisions.

Hybrid working arrangement with a focus on data accuracy, governance and continuous improvement. Candidates with strong analytical skills and experience in social media data analysis will thrive.

Qualifications

• Degree in a quantitative field or equivalent experience.
• Experience in analytics and data reporting.

Responsibilities

• Analyze business problems using internal/external data to provide insights.
• Develop forecasts and recommendations based on data and market knowledge.
• Define, develop, and track metrics and dashboards to inform decisions.
• Create data reports and extracts for stakeholders across teams.
• Ensure data accuracy and quality across sources.

Skills

Data mining

Predictive analytics

Data visualization

Data modeling

SQL

Python/R basics

Problem solving

Communication

Attention to detail

Education

Bachelor’s degree in Data Science or related field

Tools

Excel

SQL

SAS

Job description

Senior Associate Business Intelligence Analyst

**Make an impact with NTT DATA**
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

Your day at NTT DATA
The Senior Associate Business Intelligence Analyst is a developing subject‑matter expert tasked with supporting the transformation of data into insights that drive business value using data analytics, data visualization, and data modelling techniques and technologies.

Key responsibilities:

• Analyzes assigned business problems and issues using data from internal and external sources to provide insight to decision‑makers.
• Contributes to constructing forecasts, recommendations and strategic/tactical plans based on business data and market knowledge.
• Supports creation of specifications for reports and analysis based on business needs and required or available data elements.
• Takes part in the definition, development, enhancement and tracking of metrics and dashboard requirements to deliver results and provide insight and recommendations on trends.
• Receives instructions to use advanced data analysis and tools to ensures analytics are valid, meaningful, and provides actionable and comprehensive insights.
• Assists with the analysis of data across various platforms, including social media, and presents trends and patterns.
• Supports the design and maintenance of business intelligence reports and analytics.
• Following standard operating procedures, extracts and analyzes data, statistics, and information from various sources and interprets and produces the relevant reports, summaries, and briefing notes that will be used to inform business decisions.
• Works with a variety of internal stakeholders to translate needs into data reports, data insights, and extracts.
• Optimizes visual information for easier consumption and actionable metrics.
• Assists with maintaining processes for ensuring data accuracy and current relevance and representation.
• Assists with the identification of process improvements to streamline data collection and report generation.
• Under guidance, reviews and edits requirements, specifications, business processes, and recommendations related to proposed solutions.

To thrive in this role, you need to have:

• Moderate understanding of data mining principles, predictive analytics, mapping, collecting data from multiple data systems on premises and cloud‑based data sources.
• Ability to collect, organize, analyze, and disseminate relevant amounts of information with attention to detail and accuracy.
• Ability to identify solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities.
• Has analytical, problem‑solving, and communication skills.
• Ability to work independently and collaborate across multiple teams and build sound working relationships.
• Understanding of current data protection and privacy laws.
• Passionate about achieving results and statistics.
• Developing technical expertise and knowledge of statistical concepts.
• Ability to identify trends, business opportunities, etc.
• Some programming skills with querying languages, SLQ, SAS, etc.
• Good understanding of statistical analysis and reporting packages.

Academic qualifications and certifications:

• Bachelor’s degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Statistics, Engineering, Computer Science, Computer Engineering or another quantitative field is preferred.

Required experience:

• Moderate level experience working in an analytics capacity.
• Moderate level experience working with data collection tools and software.
• Moderate level experience working with social media platforms such as LinkedIn, Facebook, etc.
• Moderate level experience producing Excel‑based reporting.

Workplace type: Hybrid Working

**About NTT DATA**
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. ...

**Equal Opportunity Employer**
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category.

**Third parties fraudulently posing as NTT DATA recruiters**
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason.