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Analytics Specialist, Distribution

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Design and maintain interactive Power BI dashboards for Distribution performance

  • Develop Power BI semantic models for consistent, easy-to-use data

  • Write and optimize SQL queries to extract data from the DataHub

  • Validate and reconcile data from multiple sources

  • Partner with Distribution leaders to turn business needs into analytics solutions

From the employer’s posting
Design, build, and maintain interactive dashboards in Power BI to support Distribution performance management
Develop the underlying semantic models in Power BI to ensure data consistency, accuracy, and ease of use for business users.
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.
Partner with Distribution leaders to understand business needs and translate them into analytics solutions.

What you’ll bring

All qualifications

Core 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.
  • Experience working with business stakeholders to translate requirements into analytics solutions.

Preferred experience

  • Experience in insurance, financial services, or distribution analytics is a plus.
Qualification wording
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.
Experience working with business stakeholders to translate requirements into analytics solutions.
Experience in insurance, financial services, or distribution analytics is a plus.
Education & alternatives
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.
Apply at Prudential

Posting record

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Open 5 monthsWe first saw this posting 178 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
May 9, 2026178 days ago
Recorded sightings
289
Last seen by us
Nov 4, 2026
Employer says posted
Apr 14, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 178

Up longer than most. Similar jobs usually come down between day 5 and day 41.

From 10,558 similar postings that came down. Coming down is not always a hire.

Prudential is hiring

23 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Analyst hiring is steady
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • SQL
  • Databricks
  • Power BI
Where the posting names them
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:
- 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.
- 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.
- 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.
- 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.
- 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.
- 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).

Your next step

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About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

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.

Source details

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Singapore

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