Data Analyst II – Product Analytics & AI (Hybrid)

Sentior, Ltd.; Manchester; Hybrid; GBP 76,000 - 103,000; Full time

Job summary

Sentior, Ltd. in Manchester is seeking a Data Analyst II to join the Hybrid team (2 days onsite). The contract runs until May 2027 inside IR35, at £486.45 per day, with a 37.5-hour week.

You will design end-to-end analytics solutions, cleanse and analyse large datasets, and build dashboards for stakeholders, using SQL, Python, and Snowflake. Collaboration across Product, Engineering, Design and Business is essential.

Qualifications

• Minimum 5 years' experience in Data Analytics (or 3+ years with a relevant PhD).
• Advanced SQL skills.
• Strong Python and/or PySpark experience.
• Experience working with Snowflake.
• Proven experience across the full data lifecycle.
• Strong understanding of experimentation methodologies, including A/B testing.

Responsibilities

• Design and deliver end-to-end analytics solutions from concept through to implementation.
• Prepare, cleanse, validate, and analyse large and complex datasets.
• Translate business requirements into actionable insights and recommendations.
• Build scalable reports, dashboards, and visualisations for key stakeholders.
• Apply statistical techniques and experimentation methodologies, including A/B testing.
• Collaborate with cross-functional teams to identify opportunities and solve business challenges.
• Develop reproducible analytical workflows and datasets.
• Present findings clearly to both technical and non-technical audiences.
• Support and mentor junior analysts, sharing knowledge and best practices.

Skills

SQL

Python

PySpark

Snowflake

A/B testing

Data visualization

Stakeholder management

Cross-functional collaboration

Tools

Tableau

Power BI

Claude

Cursor

Cortex

Windsurf

Job description

Sentior, Ltd. in Manchester is seeking a Data Analyst II to join the Hybrid team (2 days onsite). The contract runs until May 2027 inside IR35, at £486.45 per day, with a 37.5-hour week.

You will design end-to-end analytics solutions, cleanse and analyse large datasets, and build dashboards for stakeholders, using SQL, Python, and Snowflake. Collaboration across Product, Engineering, Design and Business is essential.