Senior Data Analyst

Applicable Limited; Johannesburg; Hybrid; ZAR 480,000 - 720,000; Full time

Job summary

A leading company in the tech industry seeks a Senior Team Lead for Business Intelligence to drive data analysis and reporting. This hybrid role demands strong analytical skills, experience with statistical tools, and the capability to lead a diverse team towards informed decision making. Candidates should have a strong background in data science and proven leadership experience to enhance strategic initiatives. Join us and help shape the future through data-driven insights.

Qualifications

• Bachelor's degree or equivalent in a quantitative field preferred.
• Experience with statistical analysis and reporting tools.
• Demonstrated experience in managing data processes.

Responsibilities

• Manage and lead development of effective data analysis processes.
• Coordinate cross-functional projects for strategic decision-making.
• Provide insights using data to optimize business outcomes.

Skills

Analytical skills

Data mining principles

Problem solving

Communication

Collaboration

Education

Bachelor's degree in Data Science or related field

Tools

SQL

Python

Excel

Power BI

R

Job description

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

Your career here is about believing in yourself and seizing new opportunities and challenges. It’s about expanding your skills and expertise in your current role and preparing yourself for future advancements. That’s why we encourage you to take every opportunity to further your career within our great global team.

Your day at NTT DATA
The Senior Team Lead, Business Intelligence is a developing management role responsible for providing input to the coordination, design, development, directing and oversight of the validation of actionable and measurable reports, as well as the analysis and presentation on data sources.

This developing management role is responsible for ensuring that the necessary information is available for making informed business decisions and measuring established goals and objectives.

This role is required to manage the processes and people responsible for accurate data collection, processing, modelling and analysis, as well as fostering a collaborative and high-performing culture across the team.

Key responsibilities:

• Manages, coordinates, and leads the development of processes for effective data analysis and reporting.
• Manages cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Provides input to the development and implementation of comprehensive tools and strategies that allow raw data to be transformed into business insights.
• Works closely with stakeholders across the business to support and implement high-quality, data-driven decisions.
• Uses advanced data modelling, predictive modelling and analytical techniques to provide input to interpreting key findings from company data and leverage these insights into initiatives that will support business outcomes.
• Assesses the potential impact of AI on business processes, customer experience, and revenue generation, and guiding decision-making based on ROI and feasibility analysis.
• Addresses ethical, legal, and regulatory considerations related to AI, ensuring compliance with data privacy and security requirements.
• Manages the design and build of technical processes to address business issues.
• Oversees the design and delivery of reports and insights that analyze business functions and key operations and performance metrics.
• Manages and optimizes processes for data intake, validation, mining and engineering, as well as modelling, visualization and communication deliverables.
• Reviews, interprets and reports results of analytical initiatives to stakeholders in leadership, technology, sales, marketing and product teams.
• Oversees the data/report requests process, tracking requests submitted, prioritization, approval, etc.
• Monitor the development and implementation of quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements.
• Provides support, coaching and development opportunities to a team of data analytics professionals within their remit.

To thrive in this role, you need to have:

• 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 significant amounts of information with attention to detail and accuracy.
• Organized, strong analytical skills, and capable of handling multiple projects with executive stakeholders.
• Understanding of statistical analysis and reporting packages.
• Ability to identify solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities.
• Ability to produce understandable and actionable reports gleaned from data.
• Problem solving, quantitative and analytical abilities.
• Excellent communication, collaboration and delegation skills.
• Programming skills with querying languages such as SLQ, SAS, etc.
• Relevant management and leadership skills.

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:

• Seasoned demonstrated experience using statistical packages for analyzing datasets (Excel, PBI, R, Python etc.).
• Seasoned experience managing end-to-end process improvement implementations spanning process and systems.
• Seasoned demonstrated experience with reporting packages (Business Objects etc.), databases (SQL etc.), and ETL frameworks.
• Seasoned demonstrated experience with statistical modelling techniques.
• Seasoned demonstrated working with and creating databases and dashboards using all relevant data to inform decisions.
• Seasoned demonstrated with big data tools.
• Developing people management experience.

Workplace type:

Hybrid Working

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. Accelerate your career with us. Apply today