Data Analyst

Essential Job Duties and Responsibilities

At International SOS, we are in the business of protecting and saving lives. For 40 years, we have delivered customised security risk management, health, and wellbeing solutions to organisations worldwide. With a presence in 90 countries and a team of nearly 13,000 experts, we provide 24/7 support to help organisations fulfil their Duty of Care responsibilities.

The Data Analyst is responsible for creating & providing correct, accurate & complete data, reporting, modeling, presentation & analysis that support business objectives. The candidate will provide effective recommended solutions in data sets, converting insights into strategic solutions & options that lead to & support high-quality, data-driven decision making. This role requires an understanding of statistical methodologies, data visualization techniques, and the ability to translate analytical findings into actionable business recommendations.

• Ability to problem solve complex reporting scenarios.
• Proactive in causing the Data Analytics Team in achieving timelines for submissions of CDRL’s, ADHOC reporting’s, Invoicing data.
• Creates, documents, & maintains analytical Dashboards in alignment with contractual requirements.
• Applies quality controls and departmental standards to ensure quality standards, organizational expectations, and audit requirements are achieved.
• Ensure accuracy of data & deliverables of Analytics Team deliverables applying comprehensive controls, policies and processes with attention to all technical aspects.
• Develop & maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
• Analyzes business functions & key operations performance metrics.
• Utilizes advanced data modeling, predictive modeling and analytical techniques to interpret key findings from company data and leverage these insights into initiatives that will support business outcomes.
• Examines, interprets & reports results of analytical initiatives to stakeholders customizing your written & verbal communication to your audience.
• Optimises processes for data intake, validation, mining & engineering as well as modeling, visualization, and communication deliverables.
• In collaboration with leadership, champion & cause One Team Culture to come to life within the team.
• Develops and manages business intelligence solutions (MS SQL Server Reporting Services (SSRS) and Power BI) for the organization.
• Providing SSRS and Power BI Tools, reports, but not limited.
• Identifies improvement opportunities within operations to aid in driving efficiencies and profitability.
• Collaborating with team members for the purpose of collecting data and producing exception reports to cleanse data at the origin.
• Analyzing business requirements and processes and recommending them to the management and executives for implementation.
• Creates and maintains documentation that includes the design, requirements and user manuals for the organization & SOPs.
• Writes stored procedures to process the data.
• Supports the delivery of reporting contract deliverables to the Client.
• AI Tools for Data Analysis:
  Ability to build and apply AI-powered tools (like automated analytics, forecasting, or pattern detection) to analyze large data sets including use machine learning features in tools, Python, spreadsheets, & BI platforms.
• Data Preparation for AI Modeling:
  Ability to clean, organize, & label data to enable it to be utilized effectively within AI systems, including identifying missing, incorrect, or biased data that could AI results.
• Interpreting AI Outputs:
  Ability to understand & explain results produced by AI models (predictions, classifications & trends) including translate complex AI findings into clear insights.
• AI Automation:
  Apply, build & automate dashboards, reports and alters, identify where AI can save time & improve decision making.

• Data modeling and analysis experience.
• Data visualization and presentation skills.
• Strong knowledge of relational database concepts and structures.
• Demonstrable knowledge of MS SQL Server.
• Knowledge of DAX, T-SQL, C#,…