{"id":3309880,"url":"https://alion.io/job/ds-smith-data-analyst","title":"Data Analyst","company":{"id":1795137,"name":"DS Smith","domain":"dssmith.com","url":"https://alion.io/company/dssmith-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":78,"open_postings":29,"ghost_share":0,"stale_share":0.862,"repost_share":0,"time_to_fill_p50_days":42,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kraków, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":32000,"max_usd":65000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":14},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-26T00:00:00Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-30T05:45:43Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Why is this job for you:\nPaper, Recycling & CAPEX, Paper Sourcing & Procurement (PR&C PS&P) is the second largest division by size within DS Smith. Grown through acquisition, the IT landscape is diversified and complex with applications operating under divisional and local direction.\nThe mission of the I&T organisation is to enhance the success of the division through the delivery of efficient and effective services that have the scalability and flexibility to support the demands of the business. Building strategic capabilities, enabling transformation, and embedding quality in all systems and processes that deliver for our customers and business.\nThe role of the Data Analyst is key to contribute to the design, delivery, and maintenance of data pipelines, datasets and analytics solutions aligned with the division’s cloud and digital manufacturing strategy.\nThe Data Analyst reports into the Data Solutions Lead for PRC & PSP division and is expected to work closely with a team data experts, data engineers and PowerBI developers.\nThe Data Analyst will work closely with the central Digital and Data team who are responsible for our cloud data platform to introduce new tools/processes and strive to implement best practices across the Data Solutions that will support the business across the PRC & PSP division.\nYou will:\nHelp develop and maintain PowerBI Dashboards, focusing on the dataset design, data modelling and report performance\n\nWrite and optimise SQL queries and DAX expressions to support reporting and analytics requirements\n\nSupport the management of the PowerBI workspace environments, including access controls, lineage and release processes\n\nHelp Build and maintain data pipelines to ingest, transform, and deliver data from source to end users\n\nSupport the integration of analytics solutions in the cloud data platform (AWS), including testing, validation and documentation\n\nMaintain data quality across pipelines, troubleshoot failures, monitor uptime and escalate issues\n\nDay-to-day coordination of data engineers, acting as first point of escalation and enforcing development standards\n\nCollaborate with Business stakeholders to understand data needs and translate requirements into technical deliverables\n\nCommunicate findings and solutions in plain language to non-technical audiences\n\nParticipate in sprint planning sessions with business stakeholders for a clear definition of priorities\n\nContribute to a cohesive set of documentation covering data lineage, ETL processes, and data catalogue\n\nSupport data governance and data quality activities across the business\n\nEnsure compliance with data privacy, security, and regulatory polices across and deliverables\n\nYou have:\nBachelor’s degree in a technology, analytical or business-related field, or equivalent experience\n\n3+ years of experience in a data analyst, BI developer, or data engineer role.\n\nWorking knowledge of SQL and Python for data extraction, transformation and querying\n\nExposure to data pipeline tools and cloud platforms (AWS or Azure).\n\nComfortable working in cross-functional teams and communicating clearly with non-technical stakeholders\n\nAn interest in manufacturing, supply chain, or industrial data is an advantage.\n\nExposure o agile delivery methods is beneficial\n\nFluency in English\n\nAdditional languages (Spanish, French or German) are an asset given the division’s European 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