Company Overview

As a global market leader, iPipeline combines technology, innovation, and expertise to deliver ground-breaking, award-winning software solutions that transform the life insurance, financial services, and protection industries. With one of the industry’s largest data sets, we help advisors/advisers and agents to transform paper and manual operations into a secure, seamless digital experience – from proposal to commission– so they can help better secure the financial futures of their clients.

At iPipeline, you’ll play a major role in helping us to provide best-in-class, transformative solutions. We’re passionate, creative, and innovative, and together as a team, we continually strive to advance, accelerate, and expand the reach of our technology. We value different perspectives and are committed to creating an environment that embraces diverse backgrounds and fosters inclusion.

We’re proud that we’ve been recognized as a repeat winner of various industry awards, demonstrating our excellence and highlighting us as a top workplace in both the US and the UK. We believe that the culture we’ve built for our nearly 900 employees around the word is exceptional -- and we’ve created a place where our employees love to come to work, every single day.

Come join our team!

About iPipeline

Founded in 1995, iPipeline operates as a business unit of Roper Technologies (Nasdaq: ROP), a constituent of the Nasdaq 100, S&P 500®, and Fortune 1000® indices. iPipeline is a leading global provider of comprehensive and integrated digital solutions for the life insurance and financial services industries in North America, and life insurance and pensions industries in the UK. We couple one of the most expansive digital and automated platforms with one of the industry’s largest data libraries to accelerate, automate, and simplify various applications, processes, and workflows – from quote to commission – with seamless integration. Our vision is to help everyone achieve lasting financial security by delivering innovative solutions that connect, simplify, and transform the industry.

iPipeline is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to gender, race, color, religious creed, national origin, age, sexual orientation, gender identity, physical or mental disability, and/or protected veteran status. We are committed to building a supportive and inclusive environment for all employees.

This is a Hybrid position.

Responsibilities

An Experienced Data Analyst translates business problems into data-driven insights. This role works with stakeholders to collect, organise, and analyse data, identify trends, and present clear, actionable recommendations. The analyst supports business decision-making and process improvement through reporting, visualization, and statistical analysis.

Key Responsibilities

Data Analysis & Insights

Analyse data to identify trends, patterns, and opportunities for improvement

Apply statistical methods to support forecasting and decision-making

Translate complex data into actionable insights and recommendations

Data Collection & Management

Gather, clean, and organise data from multiple sources

Design, maintain, and improve data systems

Ensure data quality through validation, audits, and issue resolution

Reporting & Visualisation

Create reports, and automated reporting solutions

Present data in a clear, compelling way to support decision-making

Translate business requirements into meaningful KPIs and visual outputs

Stakeholder Collaboration

Work with stakeholders to understand data needs and business challenges

Communicate insights and recommendations clearly to non-technical audiences

Support cross-functional teams with data-driven analysis

Tools & Technical 🚚

Use SQL, Python/R, and visualisation tools (e.g. Power BI, Tableau)

Support development of forecasting models and ad hoc analysis

Documentation & Continuous Improvement

Document data definitions, business rules, and processes

Identify opportunities to improve data quality, reporting, and workflows

Contribute to data governance practices (e.g. data dictionaries, lineage)

Scope & Impact

Owns end-to-end analysis for small to medium-sized projects

Works across multiple data sources and business areas

Provides insights that influence tactical business decisions

Collaborates with team and departmental stakeholders

Begins shaping analytical approaches and influencing outcomes

Experience/Qualifications

Technical Skills

SQL, Excel, and data visualisation tools (Power BI, Tableau)

Python, R, or similar scripting languages

Core Skills

Strong analytical and problem-solving abilities

Data validation and attention to detail

Ability to explain technical concepts to non-technical audiences

Effective prioritisation and time management

Knowledge & Experience

Degree in Data Science, Statistics, Mathematics, Computer Science, or similar

Proven experience in data analysis

Experience in financial services, insurance, or similar environments (preferred)