Senior Data Analyst

Job Advert Summary

Reporting into HR Executive: A&D (with a dotted line to Senior Manager: Business Analytics), the Senior Data Analyst will utilise their analytical, statistical and programming skills to mine, generate, analyse, interpret, and visualise large data sets and deliver on data-driven projects.

The Senior Data Analyst will support stakeholder decision-making with data insights, predictive modelling and transforming data into readable, goal-oriented reports that drive innovation and growth while maintaining the organisation’s BI solutions.

Minimum Requirements

Education:

• An appropriate bachelor's degree in (BSc, Mathematics, Computer Science, Statistics or any other relevant field).
• SQL and Power BI certifications are advantageous.

Experience:

• 3-5 years in Data Analyst role especially in the insurance industry.
• 3-5 years of experience extracting and aggregating data from large relational databases, data mining and predictive modelling.
• 3–5 years of experience developing data visualization solutions to support users understanding of results.
• 3-5 years of proven experience as a Data Analyst in the Insurance industry.
• Advanced skills in SQL.
• Excellent communication skills and the ability to present complex findings clearly and understandably.
• Strong attention to detail and a commitment to delivering high-quality, accurate analyses.
• Proven experience in Power BI and reporting tools.
• Previous experience in a similar role within the data model operations.
• Data modelling experience.
• Comfortable in mapping business questions to data problems.
• Proven experience in stakeholder management, acting as a business partner across different areas.

Knowledge & Skills

• Advanced working SQL knowledge and relational databases, query authoring (SQL) as well as working familiarity with a variety of databases, technologies, languages and visualisation engines (Power BI, Tableau, etc)
• Knowledge of a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.
• Knowledge of data visualisation and ways to best convey messages to different audiences using qualitative and quantitative insights.

Competencies:

• Strong Data Management Skills
• Decisiveness
• Strong innovative flair
• Project management skills
• Conceptual skills
• Systems thinking
• Effective communication
• Results Oriented

Interpersonal Skills:

• Must be a result-oriented individual, be helpful, be self-motivated, be proactive in going beyond the call of duty, be a creative and strategic thinker, be highly analytical, work comfortably in a constantly evolving environment, work comfortably in a collaborative environment, can multi-task and meet tight deadlines, and have the ability to remain calm in the face of uncertainty and stress.

People Skills:

• A people-oriented individual who can form strong and meaningful relationships with other people.

Duties and Responsibilities

Data Mining and Processing:

• Work with organisational stakeholders to identify opportunities to solve business problems by leveraging company data and applying advanced data modelling techniques.
• Mine and analyse data, draw insights and share these effectively across the business to enhance business decision-making and optimise member and commercial business outcomes.
• Research new data sources and analytical tools with the aim of improving the process and underlying data analysis.
• Understand the quality of data and engage with relevant stakeholders to correct data (if and when necessary), thereby ensuring usability is in line with requirements.

Dashboard and Reports Development:

• Design and develop interactive and visually appealing dashboards using tools such as Power BI ensuring accessibility and usability of those dashboards for stakeholders.
• Work with the team to ensure that the Power BI platform is designed to help the organisation to scale.

Data Quality Assurance:

• Implement and maintain data quality assurance processes to ensure the accuracy and reliability of data.
• Identify and resolve data anomalies and discrepancies.
• Implement best practices across the company’s data landscape relating to data analysis, business intelligence and data governance principles.

Forecasting and Predictive Modelling:

• Develop forecasting models to predict trends and member/broker behaviours.
• Implement predictive modelling techniques to enhance decision-making processes.
• Interpret trends and patterns in data and provide the business with actionable insights.
• Design metrics to help assess how the business is performing on a day-to-day basis.

Performance Monitoring/ Statistics:

• Monitor and report on key performance indicators (KPIs).
• Provide regular updates to leadership on data-driven insights i.e.
  • Submit Daily, Weekly, Monthly, Quarterly and Annual stats to Senior Leadership.
  • Produce and share divisional monthly reports including Team Manager’s Branch Reports
  • Stay abreast of changes to systems, targets, hierarchy and products which affects data for reporting.
  • Proactively identify areas for optimization, improvement and automation.

User Support:

• Train other employees in the organization on how to access Data Analytics and how to make the best use of available reports.

Research and Adhoc Analysis:

• Keep up to date with new data assets and products to identify new opportunities, capabilities and trends that would add value to business.
• Conduct ad-hoc analysis to address specific business questions and challenges.
• Proactively identify areas for optimization and improvement.

Other Duties:

• Perform similar duties and duties as delegated by the Lime Manager or the Employer.