Data Analyst in London

About iVerify

We are experts in mobile threat hunting, the first company to protect mobile devices like any other vulnerable corporate endpoint. The mobile security market has a problem; current solutions fail to meet the sophistication of modern threats or the growing privacy desires of mobile device users. We believe that it is time for something new. Not only because we care deeply about the safety of frontline users like journalists and activists, but because enterprises and consumers deserve real protection from advanced mobile threats without sacrificing privacy. We are building the first mobile threat hunting company to harmonise security and privacy in the face of a new class of mobile threats.

About The Role

We are seeking a Data Analyst to help transform iVerify's growing dataset into actionable insights that guide engineering, research, and product decisions. This role sits at the intersection of data, security research, and product development, helping uncover meaningful patterns in mobile telemetry, detect anomalies, and guide decision-making across the organization. You'll analyse structured and semi-structured datasets from millions of mobile events, build dashboards, track key performance metrics, and help our researchers identify new threat behaviours and trends across iOS and Android devices. Your work will directly empower our security research team to focus on investigations and detection, while ensuring our engineering team builds from data-driven insights.

Key Responsibilities

• Data Exploration & Analysis: Analyse large, complex mobile telemetry datasets to identify trends, anomalies, and threat patterns.
• Dashboarding & Visualization: Build and maintain dashboards tracking platform performance, detection efficacy, and telemetry coverage.
• Research Support: Collaborate with the security research and detection teams to design data-driven experiments and surface emerging patterns of interest.
• Product Insights: Translate complex data into clear, actionable insights that inform product decisions, customer reporting, and platform improvements.
• Data Quality & Validation: Monitor the completeness and consistency of incoming data streams. Highlight quality issues and collaborate with the data engineering team to resolve them.
• Reporting & Automation: Develop repeatable reporting processes and automated queries to track key performance indicators across product and detection metrics.
• Collaboration: Work cross-functionally with engineering, machine learning, research, and customer success teams to make data accessible, explain findings, and support decisions with evidence.
• Security Analytics Enablement: Support the creation of data-driven detections and models by providing clean, validated datasets and exploratory findings.

Day-to-Day Activities

• Use Python and the modern data science stack (Pandas, Jupyter, NumPy, Matplotlib, or equivalent) to perform deeper statistical or exploratory analysis.
• Build visualisations and dashboards in Tableau, Power BI, Looker Studio, or similar BI tools.
• Collaborate with researchers to validate hypotheses about threat activity or telemetry anomalies.
• Conduct ad hoc analyses to support product and detection improvements.
• Document key findings and communicate insights to both technical and non-technical audiences.
• Partner with data engineers to improve dataset availability, structure, and performance for analytical workloads.
• Work with the ML team to analyse model outputs, validate detection metrics, and support ongoing model evaluation efforts.

Requirements

• 4+ years of experience as a Data Analyst, Product Analyst, or similar analytical role.
• Advanced SQL skills and hands-on experience working with large datasets.
• Strong Python proficiency for data analysis (Pandas, NumPy, Jupyter).
• Experience building reports and visualisations with Tableau, Power BI, or equivalent BI tools.
• Proven ability to identify trends, anomalies, and correlations within complex datasets.
• Experience working cross-functionally with engineering, research, and product teams.
• Excellent communication skills, able to translate technical findings into actionable business or product insights.

Nice to Have:

• Experience working with security or threat intelligence data, telemetry, or log-based systems.
• Familiarity with modern data infrastructure, such as cloud data warehouses and version-controlled analytics tools.

Diversity, Equity, and Inclusion

At iVerify, we are committed to building a diverse, equitable, and inclusive workplace and community. We believe that diversity in all its forms drives innovation and fosters creativity. We strive to create an environment where everyone feels valued, respected, and empowered to bring their authentic selves to work.