Senior Analyst and BI Architect
3 days ago
Fully Remote
Reports to : Finance Director/ Head of Communications and Market Engagement (TBC)
Department : Business Intelligence
Type : Full-Time/ Permanent
AYMES International Limited is a leading company specialising in oral nutrition solutions dedicated to improving the lives of individuals with specialised nutritional needs. Our mission is to create innovative, high-quality medical nutrition products that support patient health and wellness. With a strong commitment to research, development, and customer care, we strive to provide the best nutritional solutions in the healthcare industry.
We are seeking a Senior Analyst to drive the strategy, reporting and source of truth across our data sets to create comprehensive and accurate Business Intelligence.
The Business Intelligence function is an analytical service providing information, analysis and analytical support. This role sits in the Business Intelligence function which is the main point of contact for most of the team, responding to ad hoc requests and identifying and working with the other functions to support with insightful analysis.
This role will often work as part of multi-disciplinary pods, made up of colleagues, both internal and external to the Insights and Intelligence function, to deliver on projects that require a range of skills and knowledge.
unlocking value and insights by joining and analysing data sets from across multiple sources and creating “once source of truth” in Qlik.
drive the strategy and implementation of Business Intelligence Insights and Analytics across the business
managing the day-to-day workload whilst overseeing the long-term developments of data from the Customer Data Warehouse, source systems and future roll out of advanced/predictive analytics.
Develop the strategic vision and create a BI analytical centre of excellence for the business.
Strong technical experience, including knowledge of SQL/MySQL and advanced Excel skills including VBA;
experience in data visualization tools (eg. QlikView, Power BI, Tableau, Domo etc) and a good understanding of how to manipulate and interpret complex / imperfect data sets.
Support all departments, key programmes and projects in their insight needs and work with them to build and deliver appropriate plans
work cross-functionally to ensure insight is a key input to any major decision-making and planning.
· standardise analytical solutions in terms of user experience;
· keep abreast of emerging / advanced analytics tools / techniques / technologies, as well as new versions of existing software to recommend further value-adding initiatives;
· Contribute to building a pipeline of opportunities that fully exploit the benefits of all the databases and information platforms in use across the company.
· Contribute to the strategic planning of team projects, identifying interdependencies across projects/functions, potential risks and resource requirements and building in contingency and adjustments as necessary.
· Contribute to short, medium- and long-term business plans, achieving quality outcomes.
· Analyse, interpret and present data to highlight issues, risks and support decision making
· Ensure GDPR compliance across all data sets and platforms
· Ability to provide Descriptive and Diagnostic Analysis
Initiation & interpretation of in-depth analysis
Liaison with other teams on Data & Analytics requirements
Ability to communicate effectively on datasets and data sources and in assessing quality and reliability of sets and outcomes
Proven experience building Business Intelligence reports
Experience of triangulating data from different sources and demonstrate an appreciation of the differences that might occur in large datasets
Able to guide the team in best practice of quality assurance within data input, control and analytics.
· Technical experience / knowledge of SQL/MySQL and advanced Excel
· Experience in data visualisation tools (QlikView, Power BI, Tableau, Domo, SystemOne etc.)
· A good understanding of how to manipulate and interpret complex/imperfect data sets
· Proven experience in a highly numerate or data driven role
· Previously responsible for a budget, involved in budget setting and working knowledge of financial processes.
Experience in using a range of statistical software such as SAS, SPSS, R, and SQL
Technical skills in data management, business intelligence and analytics – including data modelling, data visualisation (e.g. Tableau and Qlik) and data blending (e.g. Alteryx and SSIS) along with other supporting tools (e.g. Microsoft BI stack, System1)
Demonstrates a strong desire to improve performance
IT literate across Microsoft 365 platform
Able to build and document complicated and varied types of models including forecasting performance.
Evidence of post-graduate qualification and continuing professional development.
· Knowledge of ERP and CRM systems, in particular Salesforce and SAP Business1, Pardot etc
· Commitment to quality, promotes high standards.
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