Senior Data Analyst

卷慰; London; On-site; GBP 50,000 - 80,000; Full time

Job summary

An innovative software provider is seeking a detail-oriented Senior Data Operations Analyst to join their analytics team. This role focuses on transforming complex operational data into actionable insights, emphasizing dashboard development and reporting. The ideal candidate will leverage their expertise in SQL and Python, along with BI tools, to enhance decision-making across various business functions. Join a collaborative environment where your analytical skills can drive growth and operational excellence in the e-commerce sector. If you're passionate about data and eager to make an impact, this opportunity is perfect for you.

Benefits

Competitive base salary

Stock options

Private Health insurance

Pension

Qualifications

• 4+ years of experience in business operations analytics or quantitative analysis.
• Expertise in operational dashboard development and automated reporting systems.

Responsibilities

• Analyze operational data to drive strategic decisions and improvements.
• Design and implement data visualizations and automated reporting systems.

Skills

Cross-functional Operational Analytics

Advanced Dashboard Development

SQL

Python

BI Tools (Metabase, Looker, Tableau, Power BI)

Business Operations Knowledge

Statistical Knowledge

GCP Familiarity

Problem Solving & Communication

Education

Bachelor's degree in a quantitative field

Tools

Metabase

Looker

Tableau

Power BI

Job description

Company

Say hello to the ecommerce OS.

Swap is a leading software provider dedicated to empowering e-commerce brands with innovative, data-driven solutions. Our cutting-edge platform helps online retailers optimise their operations, enhance customer experiences, and drive growth. We are committed to fostering a collaborative and inclusive work environment where creativity and innovation thrive.

About The Role

We're looking for a detail-oriented Senior Data Operations Analyst to join our analytics team. In this role, you'll focus on analyzing operational data across multiple business functions to transform complex business questions into actionable insights, with a strong emphasis on operational dashboard development and reporting.

Skills

• Cross-functional Operational Analytics: Strong analytical skills with experience extracting insights from operational data across finance, marketing, sales, customer success, and product functions
• Advanced Dashboard Development: Extensive experience creating compelling visualisations and interactive dashboards that effectively communicate operational metrics and KPIs
• Technical Skills: Proficiency in SQL, data analysis in Python, and advanced experience with BI tools like Metabase, Looker, Tableau, or Power BI
• Business Operations Knowledge: Deep understanding of operational metrics including customer service metrics, retention analytics, financial KPIs, marketing performance, and product usage patterns
• Statistical Knowledge: Understanding of statistical methods for analysing operational efficiency, customer behaviour, cohort analysis, and predictive modelling for business metrics
• GCP Familiarity: Working knowledge of Google Cloud Platform analytics tools, particularly BigQuery for large-scale data analysis
• Problem Solving & Communication: Proven ability to translate complex operational questions into analytical frameworks and communicate findings effectively to stakeholders at all levels

Responsibilities

• Cross-functional Operational Analytics: Take on projects ranging across all areas of operations including merchant success, retention, product usage, finance, marketing, sales, onboarding, business operations, platform health, and growth to drive strategic decisions and operational improvements
• Dashboard Development & Reporting: Design and implement data visualisations and automated reporting systems that provide actionable insights across all business functions with scheduled alerts and streamlined workflows
• Data Quality & Documentation: Ensure data integrity through validation checks and maintain comprehensive documentation of metrics, sources, and methodologies

What We're Looking For

• 4+ years of professional experience in business operations analytics or a similar quantitative analysis role
• Demonstrated expertise in operational dashboard development and automated reporting systems
• Strong SQL skills and experience working with large operational datasets
• Advanced proficiency with at least one data visualization tool (Metabase, Looker, Tableau, Power BI)
• Experience with Python or R for operational data analysis
• Deep familiarity with common business operations metrics
• Bachelor's degree in a quantitative field (Statistics, Economics, Computer Science, Mathematics) or equivalent experience

Benefits

• Competitive base salary
• Stock options in a high-growth startup
• Private Health insurance
• Pension