We are currently recruiting for a Data Analyst to join a growing, data-led organisation within a specialist global industry. This role sits at the heart of a data research and analytics team, combining data quality assurance, analytical insight, and content creation. You will play a key role in ensuring the accuracy of critical datasets while also transforming data into compelling, insight-led content that supports thought leadership and market positioning. Key Responsibilities Data Quality & Analysis: Perform final quality assurance checks on complex market intelligence datasets Identify data gaps, anomalies, and inconsistencies, feeding back to data and engineering teams Produce regular reporting on data quality findings and improvements Build dashboards to support data analysis and validation Data Research & Processing: Research and source data on fleet movements, aircraft types, and configurations Support the structuring and processing of raw data into usable formats Investigate and resolve data discrepancies with internal teams and external providers Content & Insights: Create insight-driven content for marketing and newsletters Translate complex data trends into clear, engaging narratives Identify compelling stories and trends from across multiple datasets Collaborate with product and commercial teams to align content with business priorities About You: Strong analytical background with experience in data analysis and research Excellent written communication skills, with the ability to simplify complex data Comfortable working with structured datasets (Excel or similar tools) High attention to detail, particularly in data accuracy and reporting Strong interest in aviation or working with complex industry data Experience with tools such as Power BI, Snowflake, or similar platforms Desirable Skills: SQL or data querying experience Experience writing content for newsletters or marketing channels Familiarity with data quality assessment and validation techniques Knowledge of aviation data or similar large-scale datasets Benefits: Hybrid and flexible working Private healthcare Pension scheme Career development opportunities Supportive, collaborative team environment Regular company events and wellbeing initiatives APPLY NOW! Cherry Professional are recruiting for this opportunity on behalf of our client. Please view our Privacy Policy on our website to understand how your data will be used if you apply for this role.
11/06/2026
Full time
We are currently recruiting for a Data Analyst to join a growing, data-led organisation within a specialist global industry. This role sits at the heart of a data research and analytics team, combining data quality assurance, analytical insight, and content creation. You will play a key role in ensuring the accuracy of critical datasets while also transforming data into compelling, insight-led content that supports thought leadership and market positioning. Key Responsibilities Data Quality & Analysis: Perform final quality assurance checks on complex market intelligence datasets Identify data gaps, anomalies, and inconsistencies, feeding back to data and engineering teams Produce regular reporting on data quality findings and improvements Build dashboards to support data analysis and validation Data Research & Processing: Research and source data on fleet movements, aircraft types, and configurations Support the structuring and processing of raw data into usable formats Investigate and resolve data discrepancies with internal teams and external providers Content & Insights: Create insight-driven content for marketing and newsletters Translate complex data trends into clear, engaging narratives Identify compelling stories and trends from across multiple datasets Collaborate with product and commercial teams to align content with business priorities About You: Strong analytical background with experience in data analysis and research Excellent written communication skills, with the ability to simplify complex data Comfortable working with structured datasets (Excel or similar tools) High attention to detail, particularly in data accuracy and reporting Strong interest in aviation or working with complex industry data Experience with tools such as Power BI, Snowflake, or similar platforms Desirable Skills: SQL or data querying experience Experience writing content for newsletters or marketing channels Familiarity with data quality assessment and validation techniques Knowledge of aviation data or similar large-scale datasets Benefits: Hybrid and flexible working Private healthcare Pension scheme Career development opportunities Supportive, collaborative team environment Regular company events and wellbeing initiatives APPLY NOW! Cherry Professional are recruiting for this opportunity on behalf of our client. Please view our Privacy Policy on our website to understand how your data will be used if you apply for this role.
We are currently recruiting for a Senior Data Engineer to join a growing, data-driven organisation. This is an exciting opportunity to play a key role in building and shaping a modern data engineering function. This role combines hands-on technical delivery with mentoring and collaboration, making it ideal for someone who enjoys both developing high-quality data solutions and supporting others. Key Responsibilities: Build and maintain scalable ETL/ELT pipelines using Snowflake, dbt, and SQL Transform complex data into structured, analytics-ready datasets Develop and optimise Snowflake components (tasks, streams, stages, dynamic tables) Monitor and improve data quality, performance, and cost efficiency Work with stakeholders to translate business needs into data models and pipelines Manage cloud-based data ingestion (Azure Blob, GCS) Maintain documentation, version control (Git), and CI/CD pipelines Support team development and contribute to hiring and best practices Requirements: Strong SQL skills (joins, CTEs, window functions, optimisation) Experience working with Snowflake in a production environment Knowledge of dbt (models, testing, documentation) Experience building pipelines in a cloud-based data environment Python (or similar) for scripting and automation Understanding of data warehouse architectures (e.g. medallion layers) Strong communication and stakeholder engagement skills Desirable Skills: Azure (Data Factory, Blob Storage, DevOps) Power BI or other BI tools CI/CD tools (dbt Cloud, GitHub Actions, pipelines) Data governance and metadata management Benefits: Hybrid and flexible working Private healthcare Pension scheme Career progression opportunities Collaborative and supportive environment Regular team events Apply Now! Cherry Professional are recruiting for this opportunity on behalf of our client. Please view our Privacy Policy on our website to understand how your data will be used if you apply for this role.
11/06/2026
Full time
We are currently recruiting for a Senior Data Engineer to join a growing, data-driven organisation. This is an exciting opportunity to play a key role in building and shaping a modern data engineering function. This role combines hands-on technical delivery with mentoring and collaboration, making it ideal for someone who enjoys both developing high-quality data solutions and supporting others. Key Responsibilities: Build and maintain scalable ETL/ELT pipelines using Snowflake, dbt, and SQL Transform complex data into structured, analytics-ready datasets Develop and optimise Snowflake components (tasks, streams, stages, dynamic tables) Monitor and improve data quality, performance, and cost efficiency Work with stakeholders to translate business needs into data models and pipelines Manage cloud-based data ingestion (Azure Blob, GCS) Maintain documentation, version control (Git), and CI/CD pipelines Support team development and contribute to hiring and best practices Requirements: Strong SQL skills (joins, CTEs, window functions, optimisation) Experience working with Snowflake in a production environment Knowledge of dbt (models, testing, documentation) Experience building pipelines in a cloud-based data environment Python (or similar) for scripting and automation Understanding of data warehouse architectures (e.g. medallion layers) Strong communication and stakeholder engagement skills Desirable Skills: Azure (Data Factory, Blob Storage, DevOps) Power BI or other BI tools CI/CD tools (dbt Cloud, GitHub Actions, pipelines) Data governance and metadata management Benefits: Hybrid and flexible working Private healthcare Pension scheme Career progression opportunities Collaborative and supportive environment Regular team events Apply Now! Cherry Professional are recruiting for this opportunity on behalf of our client. Please view our Privacy Policy on our website to understand how your data will be used if you apply for this role.
