The Outsource Company is a 100 % privately held Nigerian company offering BPO/ITES (Business Process Outsourcing/Information Technology Enabled Services), from its state of art 350+ seat (additional 1000 seat also in plan) call center facility in Abuja, Nigeria. Our world class facility offers end-to-end voice and non-voice BPO services globally. We are a premier company, managing complex transaction processing operations and offering end-to-end solutions. We combine our BPO expertise with research, analytics, risk advisory and process consulting services to deliver a broad suite of offerings to our customers.
Location - Lagos
Salary - N450K
- Responsible for transforming every unit of the Agency into a data-driven organization. You will play a crucial role in translating our data into insights & helping us leverage the data to identify opportunities for product improvements, spot trends, as well as recognize potential issues and offer solutions.
- Gather and integrate data from various sources, such as claims, medical records, customer databases, and external sources.
- Work with different units to identify data analytics needs for the different business units
- Perform exploratory data analysis to uncover trends, patterns, cost drivers and conduct statistical analysis and hypothesis testing to identify factors affecting utilization and outcomes.
- Perform data profiling to identify anomalies
- Develop models to predict claim costs and assess the impact of different policy provisions.
- Ensure data quality by cleaning, preprocessing, and transforming data for Actuarial analysis.
- Develop predictive models to assess the risk associated with different insured groups and sub-groups.
- Build actuarial models to estimate premiums, loss ratios, and reserves. This function would be done with the Actuarial Unit.
- Use data analytics to improve customer experience by personalizing insurance offerings, optimizing communication, and providing recommendations for wellness programs
- Create fraud detection models and algorithms to detect and prevent fraudulent claims, such as billing irregularities and false claims.
- Segment policyholders data based on demographics, health conditions, and other factors to tailor insurance offerings and marketing strategies.
- Analyse customer behaviour to improve retention and cross-selling opportunities.
- Create models to manage and mitigate health insurance risks, including reserve estimation, reinsurance decisions, and risk adjustment strategies.
- Analyse healthcare utilization patterns to optimize network design, provider contracts, and benefit design.
- Create reports and dashboards that provide insights into key performance indicators, claims trends, and business metrics for management including Monitoring & Evaluation unit and the Actuarial unit.
- Ensure that data analysis and modelling activities comply with industry regulations and standards.
- Promote a data culture within the Agency
- Continuously evaluate and refine data models and analytics processes to enhance accuracy and efficiency
Method of Application
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