8 of 8 Part-Time Analytical Skills Jobs in Yorkshire

Snowflake, AWS) and data pipelines (dbt, ETL/ELT workflows). \n Active curiosity and comfort leveraging Generative AI tools to streamline administrative and analytical outputs. \n Expert-level skills in Requirements Engineering, Business Process Modelling (e.g. UML Activity Diagrams, BPMN), and Data Modelling (e.g. Entity Relationship Diagrams … . \n Exceptional storytelling and translation skills—capable of refining complex data engineering issues for business executives and business needs for technical squads. The ability to see the "bigger picture," understanding how data flows across different delivery domains, data domains and managing dependencies accordingly. \n Exceptional communication skills ...

them as clear, testable user stories and defining acceptance criteria aligned with industry best practices. \n\n What you’ll have:\n \n Strong analytical, problem-solving, and critical thinking skills, with the ability to simplify complexity and make the ambiguous clear. \n Significant experience as a Business … Analyst, capable of working autonomously on complex data initiatives with challenging timelines. \n\n \n Expert stakeholder management skills, with the ability to influence senior stakeholders and navigate conflicting requirements. Experience in mentoring, coaching, and developing colleagues. Previous experience in formal line management is desirable, though we can provide ...

development team. \n You’ll have familiarity with an array of backlog management tools. \n You’ll be personable, proactive and inquisitive with an analytical mind, strong communication skills, and great stakeholder management skills. \n You’ll have experience in working in a fast-paced environment, managing competing ...

Business Analyst \n , you’ll have a major impact on helping us achieve our goal. Working with our data and analytical platforms, you’ll be part of the team that defines and owns the requirements for an initiative from inception to the point it goes live. You’ll facilitate … stakeholder workshops; display skills in interviewing, effective questioning, and capture valuable output that you can build further analysis on. \n As our \n Business Analyst \n , you’ll have access to a wide range of benefits, including: \n \n Hybrid working (we’re in the office 2 days ...

business to develop and implement new and existing data practices around the use and management of data both at source and for analytical purposes, notably aligning and supporting our open data policy for all analytical data. \n\n \n What you’ll have: \n \n Experience working … data governance-related roles, which could include data cataloguing or data quality tooling. \n Excellent communication skills are essential for this role as you will be expected to proactively engage with a wide variety of stakeholders from across our business covering both technical and non-technical roles across ...

using tools such as Tableau and Looker Studio. \n Exposure to AI, machine learning, or predictive analytics approaches within a commercial environment. \n Strong analytical mindset with the ability to turn complex data into meaningful business insight. \n Excellent storytelling and presentation skills, with confidence presenting to senior ...

ensure delivery within agreed SLAs \n Support both hosted and on-premise environments \n\n What we’re looking for \n \n Strong analytical and problem-solving skills \n Experience with SQL Server and writing SQL or T-SQL queries \n Background in 2nd line application or software … support \n Knowledge of Microsoft Windows Server environments \n Ability to manage and prioritise workloads effectively \n Strong communication skills, written and verbal \n A collaborative mindset, with the confidence to work independently \n\n Desirable experience \n \n 3rd line support exposure \n Jira or Confluence experience ...

What you’ll be doing: \n \n Leading the creation of conceptual data models to accelerate the production of high-quality data assets for analytical purposes. \n Collaborating with data engineering teams to ensure the logical and physical data models align with the overarching conceptual framework. \n Managing … focus on conceptual, logical, and physical models. \n A deep understanding of how to optimise data models to improve business outcomes. \n Strong collaboration skills, with experience working alongside data engineering teams and business stakeholders. \n A solid understanding of data governance and the importance of aligning data models ...