Data / Analytics Specialist at Nathan Claire Africa

ROLE OVERVIEW

We are seeking an analytical and commercially minded Data/Analytics Specialist to join our team. You will harness data from our monitoring and observability platforms to generate insights that drive business decisions for both NCG and its clients. This role sits at the intersection of data engineering, business intelligence, and client advisory.

KEY RESPONSIBILITIES

• Design and develop dashboards, reports, and analytical models using NCG\'s proprietary platforms and third party BI tools.
• Collect, clean, and transform large datasets from IT infrastructure, application performance, and business operations sources.
• Translate complex data into clear, actionable insights for technical and nontechnical stakeholders.
• Support clients in defining KPIs and building data driven performance management frameworks.
• Develop predictive analytics models to support AIpowered operational intelligence offerings.
• Collaborate with engineering and consulting teams to embed analytics into platform workflows.
• Maintain data quality standards, governance practices, and documentation.

QUALIFICATIONS & EXPERIENCE

• Bachelor\'s degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related quantitative field. A Master\'s degree or relevant professional certification (e.g., AWS Certified Data Analytics, Google Professional Data Engineer) is an advantage.
• 5+ years of handson experience in data analytics, data engineering, or business intelligence, with a track record of delivering insights in a commercial environment.
• Expertlevel SQL skills including window functions, CTEs, query optimisation, and working with largescale databases (PostgreSQL, BigQuery, Snowflake, Redshift, or similar).
• Strong proficiency in Python for data manipulation and analysis (pandas, NumPy, scikitlearn) and/or R.
• Experience building and maintaining data pipelines and ETL/ELT workflows using tools such as Apache Airflow, dbt, Spark, or AWS Glue.
• Advanced proficiency in BI and visualisation platforms: Power BI (including DAX and Power Query), Tableau, Grafana, or Kibana; ability to design selfservice analytics solutions.
• Practical experience with machine learning or statistical modelling: regression, classification, timeseries forecasting, anomaly detection — ideally applied to operational or IT performance data.
• Familiarity with AIOps concepts and experience working with infrastructure metrics, application performance telemetry, or log analytics (e.g., ELK Stack, Splunk, or similar).
• Experience with cloud data platforms (AWS, Azure, or GCP) including data warehousing, object storage, and streaming data services.
• Understanding of data governance, data quality frameworks, and master data management principles.
• Strong ability to communicate complex analytical findings clearly to both technical and executive audiences.