Product Analytics & Visualization Lead

Civica; United Kingdom; Remote; GBP 90,000 - 125,000; Full time

Benefits offered by this job

25 Days Annual Leave + bank holidays

Pension Contributions – 5% employer

Private Medical Insurance

Life Assurance – 4x salary

Income Protection – 75%

Dental Insurance

Job summary

Civica is seeking a Product Analytics Manager to lead data visualisation and BI initiatives across our SaaS products. You will design dashboards, standardise metrics, and ship insights that drive product decisions at executive levels.

You will partner with product, engineering, and marketing to embed analytics, build a data storytelling framework, and champion a data-driven culture within a growing SaaS business.

Qualifications

• 10+ years in data visualisation, analytics and business intelligence.

Responsibilities

• Design and oversee the creation of interactive dashboards, reports, and data storytelling tools that provide real-time insights.
• Standardise reporting and metrics, ensuring we are focusing on right measures for the right audience.
• Establish and enforce data visualisation best practices, ensuring clarity, accuracy and user engagement.
• Modernise data presentation to executives, the board and other stakeholders with real-time dashboards.
• Partner with product and engineering teams to integrate visualisation into SaaS products to enhance customer experience.
• Develop a data storytelling framework that enhances user understanding and engagement with analytics.
• Translate complex insights into digestible, visually compelling stories with marketing, product and analytics teams.

Skills

Data visualisation

Tableau

Power BI

SQL

R/Python

Excel

Tools

Tableau

Power BI

SQL

Job description

Civica is seeking a Product Analytics Manager to lead data visualisation and BI initiatives across our SaaS products. You will design dashboards, standardise metrics, and ship insights that drive product decisions at executive levels.

You will partner with product, engineering, and marketing to embed analytics, build a data storytelling framework, and champion a data-driven culture within a growing SaaS business.