PurposeOwn and elevate Munster Bovine's analytics, from raw data to decision, by building a governed, high‑trust Power BI estate and the data models behind it. This role solves hard business problems (margin, financial accuracy, scheduling, governance) with precision, speed, and repeatability.Core ResponsibilitiesUsing an array of data mining techniques to extract information from data sets and identify correlations and patternsClean, collate, analyse, and interpret data from various sources to support business development.Organising and transforming information into comprehensible structuresUsing data to predict trends in the customer base and the consumer population as a wholePerforming statistical analysis of dataUsing tools (Strong focus on Power BI required) and techniques to visualise data in easy-to-understand formats, such as diagrams and graphsPreparing reports and presenting these to management and the wider teamIdentifying and recommending new ways to enhance the business by spotting trends and changing / streamlining business processesMonitoring data quality and removing corrupt dataCommunicating with stakeholders to understand data content and business requirementsOwn Power BI end‑to‑end: data ingestion, modeling (star schema), DAX measures, visuals, RLS, incremental refresh, performance tuning.Data engineering lite: design resilient pipelines from NetSuite exports, SFTP files or APIs, Google BigQuery, SharePoint/OneDrive, and HubSpot into modeled layers.Financial integrity: reconcile variance bridges; maintain audit trails for ISO27001.Governance: version control, data dictionary, QA checks, refresh monitoring, access reviews.Product management: run an Asana backlog, triage requests, prioritize by impact, communicate release notes.Train power‑users; create "how‑to" pages; raise data literacy across teams.Required skills & experience (must‑have)·Degree in Data Analytics, Business Intelligence, Maths or Computer Science or equivalentPower BI expert: DAX (advanced), Power Query/M, model optimization (composite models, aggregations), RLS, Incremental Refresh.SQL proficiency (T‑SQL or ANSI) for shaping/validating large datasets (millions of rows, intra‑daily refresh).Excel master: pivots, Power Query, array functions; comfortable reconciling complex datasets.Data modeling: dimensional/star schema, conformed dimensions, semantic layer design.Quality obsession: reconciliation habits, unit tests on measures, row/total cross‑checks, refresh reliability.Version control & DevOps mindset: Git repo, branching, PR reviews, release notes.Business fluency: understands margin math, rev/COGS flows, discounting, scheduling concepts.Strong presentation, oral and written communication skills; experience of presenting to internal and external stakeholdersExcellent analytical and problem-solving skills.Excellent communication skills.Results focused; competitive drive and ability to work under pressureAbility to prioritise and multi-task within the role.·Great teamwork skills, to share responsibilities, confer with others, help others do their jobs, and seek help when needed.Nice‑to‑haveNetSuite reporting/exports; Tactical Cloud export plugin; familiarity with ACS processes.Google BigQuery experience; basic Python (pandas) / R, for audits/CSV hygiene.Security & compliance: comfort operating under ISO27001 (access reviews, documentation).This position will require the candidate to have an onsite presence at our offices in Ballyvorisheen, Mallow. Co. Cork. There will be the opportunity for Hybrid working, 2 days from home and 3 onsite, following the candidate completing their probationary period for the role.Job Type: Full-timeBenefits:Additional leaveBike to work schemeCompany eventsCompany pensionOn-site parkingSick payWork from homeWork Location: In person