Remote Senior Data Analyst - Insurance Analytics

Placements24; Bellville; Hybrid; ZAR 700,000 - 1,100,000; Full time

Benefits offered by this job

Fully remote work arrangement

Generous annual leave

Home office stipend

Health and wellness benefits

Learning resources

Bonuses and recognition

Job summary

Placements24 invites a Senior Data Analyst to join a remote-first team focused on insurance analytics. You will build models, deliver insights, and present findings to stakeholders across underwriting, claims, marketing, and product teams.

You'll work with SQL, Python or R, and visualization tools (Tableau, Power BI, Qlik Sense) to drive data-driven decisions. Remote-friendly environment with global collaboration and ongoing professional development.

Qualifications

• Bachelor's or Master's degree in Data Science or a related quantitative field.
• 5+ years of progressive experience in data analysis, preferably within the insurance industry.
• Expertise in SQL for data extraction and manipulation.
• Proficiency in Python or R (Pandas, NumPy, Scikit-learn).
• Experience with data visualization tools (Tableau, Power BI, Qlik Sense).
• Strong understanding of statistical concepts and modeling techniques.
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Design, develop, and maintain robust data models and analytical frameworks to extract key insights from large insurance datasets.
• Perform complex data analysis, statistical modeling, and predictive analytics to identify trends and anomalies.
• Develop and automate reports, dashboards, and visualizations using Tableau, Power BI, or similar platforms.
• Collaborate with stakeholders to understand analytical needs and translate them into data-driven solutions.
• Identify opportunities for process improvement and efficiency gains through data analysis.
• Clean, transform, and validate data to ensure accuracy and integrity for analysis.
• Present findings clearly to technical and non-technical audiences.
• Mentor junior data analysts and contribute to the team's analytical capabilities.
• Stay current with trends in data analytics, machine learning, and insurance analytics.
• Contribute to data governance initiatives and ensure best practices in data management and analysis.

Skills

SQL

Python

R

Tableau

Power BI

Qlik Sense

Education

Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or related field

Tools

Tableau

Power BI

Qlik Sense

Job description

About the Role

Our client is a forward-thinking insurance technology company seeking a highly skilled Senior Data Analyst to join their fully remote team, based out of Centurion, Gauteng. This role is pivotal in driving data-informed decision-making across various business units, including underwriting, claims, marketing, and product development. You will be responsible for developing and implementing advanced analytical models, generating actionable insights from complex datasets, and communicating findings to stakeholders at all levels. The ideal candidate possesses a strong blend of technical expertise in data analysis and a deep understanding of the insurance industry. This is an exceptional opportunity for a motivated professional to make a significant impact in a remote-first environment, leveraging data to optimize business performance and identify new opportunities. You will work with a globally distributed team, contributing to innovative solutions in the insurance analytics space.

Key Responsibilities

• Design, develop, and maintain robust data models and analytical frameworks to extract key insights from large insurance datasets.
• Perform complex data analysis, statistical modeling, and predictive analytics to identify trends, patterns, and anomalies.
• Develop and automate reports, dashboards, and visualizations using tools like Tableau, Power BI, or similar platforms.
• Collaborate closely with business stakeholders to understand their analytical needs and translate them into data-driven solutions.
• Identify opportunities for process improvement and efficiency gains through data analysis.
• Clean, transform, and validate data to ensure accuracy and integrity for analysis.
• Present complex analytical findings and recommendations clearly and concisely to both technical and non-technical audiences.
• Mentor junior data analysts and contribute to the team's analytical capabilities.
• Stay current with the latest trends and technologies in data analytics, machine learning, and insurance analytics.
• Contribute to data governance initiatives and ensure best practices in data management and analysis.

Requirements

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• 5+ years of progressive experience in data analysis, preferably within the insurance industry.
• Expertise in SQL for data extraction and manipulation.
• Proficiency in at least one statistical programming language such as Python (Pandas, NumPy, Scikit-learn) or R.
• Experience with data visualization tools (e.g., Tableau, Power BI, Qlik Sense).
• Strong understanding of statistical concepts and modeling techniques.
• Excellent analytical, problem-solving, and critical thinking skills.
• Proven ability to communicate complex technical information effectively to diverse audiences.
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus.
• Demonstrated ability to work independently and manage multiple projects in a remote setting.

Benefits

• Highly competitive annual salary up to R .
• Fully remote work arrangement, offering ultimate flexibility.
• Opportunity to work with a global, innovative insurance technology company.
• Generous annual leave and paid time off.
• Contribution towards home office setup and internet costs.
• Comprehensive health and wellness benefits package.
• Access to online learning platforms and professional development resources.
• Performance-based bonuses and recognition programs.
• Collaborative virtual team environment with regular online social events.
• Chance to shape data strategy for a growing insurance business.