Freelance Senior Data Analyst

Senior Data Analyst Start - ASAP Duration - 3 months Rates - TBC Location - Chancery Lane Hybrid - 3 days onsite / 2 days remote THE ROLE We’re looking for a Senior Data Analyst with strong technical and analytical skills to join our data team in production technology. In this role, you'll use tools like BigQuery, PostgreSQL and Python to turn raw data into curated data structures and meaningful insights that support strategic business decisions across the organization. Whilst also interrogating further databases to support data engineering and data science in data discovery. The main stakeholders will be the immediate data team, operations and product, as well as external clients —with you taking ownership of data analysis, reporting, and storytelling that drive measurable outcomes. You will also need the ability to work with dev teams to build dynamic dashboards. This role is perfect for someone who’s hands-on, detail-oriented, and an independent data problem solver looking for a role with varied scope. Experience: • 5+ years of experience in a data analyst or business intelligence role. • Strong proficiency in SQL (joins, CTEs, window functions, optimization techniques). • Advanced skills in Microsoft Excel (pivot tables, lookups, data analysis toolpak, macros a plus). • Experience writing Python for data manipulation, automation, or visualization (pandas, matplotlib, seaborn). • Hands-on experience working with BigQuery or other cloud-based data warehouses (Redshift, Snowflake, etc.) and JSON data structures • Strong team player and desire to support work of team members to deliver outcome • Highly motivated, with strong problem-solving skills and business acumen. Desirable Skills: • Experience with data visualization tools (e.g., Looker, Tableau, Power BI). • Familiarity with dbt, Airflow, or other modern data tools. • Exposure to marketing or e-commerce industries. Key Responsibilities: • Design, develop, and maintain reports and data outputs that enable presentation of key business metrics. • Write advanced SQL queries to analyse large datasets and identify patterns, trends, and anomalies. • Use Python for more advanced analytics, automation, and data processing tasks. • Work with BigQuery to build scalable analytical workflows in a cloud-based environment. • Understand and design output for cross-functional teams to define KPIs, design experiments, and uncover actionable insights. • Deliver clear, concise insights and recommendations to stakeholders using data visualizations and presentations. • Support data quality, governance, and process improvement initiatives.