[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Prudential jobs](https://jobs.opennash.com/companies/prudential/) · [Search jobs](/search/) Prudential · Singapore # Analytics Specialist, Distribution Singapore Data & Analytics Listed on Prudential’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there. [Apply on Prudential’s careers site →](https://prudential.wd3.myworkdayjobs.com/prudential/job/Singapore/Analytics-Specialist--Distribution_26030538) [OpenNash Jobs](https://jobs.opennash.com/) / [Prudential](https://jobs.opennash.com/companies/prudential/) / Analytics Specialist, Distribution ## Job description Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed. ### Role Overview As the Senior Analyst / Analytics Specialist for Distribution, you will be responsible for building and maintaining business-critical dashboards, developing semantic models in Power BI, and independently extracting and validating data from the DataHub using SQL. You will play a key role in enabling data-driven decision-making within the Distribution team, uplifting analytics capability, and reducing reliance on manual reporting. This is a hands-on role for someone who enjoys solving business problems with data and visualization. ### Key Responsibilities Dashboard Development: Design, build, and maintain interactive dashboards in Power BI to support Distribution performance management, sales tracking, incentives, and compensation analysis. Develop the underlying semantic models in Power BI to ensure data consistency, accuracy, and ease of use for business users. Continuously improve dashboard usability and adoption across the Distribution team. ### Data Extraction & Management Write and optimize SQL queries to extract data directly from the DataHub and other relevant sources. Validate and reconcile data from multiple sources to ensure accuracy and reliability. Perform UAT on dashboards designed by the central analytics team. Identify opportunities to automate data extraction and validation processes. ### Business Analytics & Insights Partner with Distribution leaders to understand business needs and translate them into analytics solutions. Provide ad-hoc analysis and actionable insights to support commercial planning, channel performance, and business improvement initiatives. Proactively identify data, reporting, or process issues and independently develop solutions to address them. ### Capability Building Share best practices and provide training to uplift Power BI and data extraction skills within the Distribution team. Act as a subject matter expert for dashboarding and data access. ### Qualifications & Experience Bachelor’s degree in a quantitative field (e.g., Statistics, Computer Science, Business Analytics, Engineering, or related). 5+ years of hands-on experience building dashboards and semantic models in Power BI. Advanced SQL skills with proven experience extracting and manipulating data from large databases (Databricks or similar). Strong data validation, reconciliation, and documentation skills. Experience working with business stakeholders to translate requirements into analytics solutions. Excellent problem-solving, communication, and stakeholder management skills. Experience in insurance, financial services, or distribution analytics is a plus. Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements. ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Oct 12, 2026 - Last checked: Oct 19, 2026 - Listed for: 7 days - Location: Singapore[Apply on Prudential’s careers site →](https://prudential.wd3.myworkdayjobs.com/prudential/job/Singapore/Analytics-Specialist--Distribution_26030538) ## More jobs at Prudential ### [Actuarial Data, Automation and AI](https://jobs.opennash.com/companies/prudential/jobs/6a85d1123b6b83ab0372/) Singapore ### [Health Analytics Specialist](https://jobs.opennash.com/companies/prudential/jobs/3571f0d8ba8069bf1522/) Singapore ### [Lead, Distribution Compliance Analytics and Reporting](https://jobs.opennash.com/companies/prudential/jobs/5027649a8b47bbc22af4/) Singapore ### [Lead, Health Data & Preferred Provider Management](https://jobs.opennash.com/companies/prudential/jobs/27f7e94d91763c7ac0ea/) Singapore ## Similar jobs at other companies ### [Area Manager - Insurance Distribution/Senior Area Manager - Insurance Distribution](https://jobs.opennash.com/companies/bajaj-finserv/jobs/36a4aa3f281d4205aa50/) Bajaj Finserv · Mumbai - Goregaon ### [Business Insights & Analytics - Data Analytics](https://jobs.opennash.com/companies/accenture/jobs/8a50ec12790c4c29ac06/) Accenture ### [Distribution Planner](https://jobs.opennash.com/companies/grasim-industries/jobs/d40bfcabf331bc1d5a84/) Grasim Industries · Maharashtra ### [Quant Analytics Senior Associate - Digital Analytics](https://jobs.opennash.com/companies/jpmorganchase/jobs/e2f9b1c928e7a4de6c36/) JPMorganChase · Bengaluru, Karnataka, India ### [Distribution Sales Engineer](https://jobs.opennash.com/companies/siemens/jobs/24a258e0f3144c833ac1/) Siemens [Data & Analytics jobs](/functions/data-analytics/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. Dates come from the employer where stated; “first seen” and “last checked” are our own observations. OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)