Data Analyst

Posted 2 Days Ago
7 Locations
In-Office or Remote
Mid level
Design • Manufacturing
The Role
The Data Analyst develops and maintains Power BI dashboards, datasets, data models, SQL and DAX solutions, and data pipelines. The role supports AWS cloud analytics integration, data quality, troubleshooting, governance, documentation, and workspace administration. It coordinates data engineers, translates business requirements into technical deliverables, collaborates with stakeholders, and communicates findings to nontechnical audiences while supporting agile delivery and data privacy compliance.
Summary Generated by Built In

Why is this job for you:

Paper, 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.

The 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.

The 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.

The 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.

The 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.

You will:

  • Help develop and maintain PowerBI Dashboards, focusing on the dataset design, data modelling and report performance

  • Write and optimise SQL queries and DAX expressions to support reporting and analytics requirements

  • Support the management of the PowerBI workspace environments, including access controls, lineage and release processes

  • Help Build and maintain data pipelines to ingest, transform, and deliver data from source to end users

  • Support the integration of analytics solutions in the cloud data platform (AWS), including testing, validation and documentation

  • Maintain data quality across pipelines, troubleshoot failures, monitor uptime and escalate issues

  • Day-to-day coordination of data engineers, acting as first point of escalation and enforcing development standards

  • Collaborate with Business stakeholders to understand data needs and translate requirements into technical deliverables

  • Communicate findings and solutions in plain language to non-technical audiences

  • Participate in sprint planning sessions with business stakeholders for a clear definition of priorities

  • Contribute to a cohesive set of documentation covering data lineage, ETL processes, and data catalogue

  • Support data governance and data quality activities across the business

  • Ensure compliance with data privacy, security, and regulatory polices across and deliverables

You have:

  • Bachelor’s degree in a technology, analytical or business-related field, or equivalent experience

  • 3+ years of experience in a data analyst, BI developer, or data engineer role.

  • Working knowledge of SQL and Python for data extraction, transformation and querying

  • Exposure to data pipeline tools and cloud platforms (AWS or Azure).

  • Comfortable working in cross-functional teams and communicating clearly with non-technical stakeholders

  • An interest in manufacturing, supply chain, or industrial data is an advantage.

  • Exposure o agile delivery methods is beneficial

  • Fluency in English

  • Additional languages (Spanish, French or German) are an asset given the division’s European footprint

Skills Required

  • Bachelor's degree in technology, analytical, or business-related field, or equivalent experience
  • 3+ years of experience in a data analyst, BI developer, or data engineer role
  • Working knowledge of SQL and Python for data extraction, transformation, and querying
  • Exposure to data pipeline tools and cloud platforms such as AWS or Azure
  • Ability to work in cross-functional teams and communicate clearly with nontechnical stakeholders
  • Fluency in English
  • Interest or experience in manufacturing, supply chain, or industrial data
  • Exposure to agile delivery methods
  • Additional language skills in Spanish, French, or German

DS Smith Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about DS Smith and has not been reviewed or approved by DS Smith.

  • Fair & Transparent Compensation — Pay is considered okay to good across many roles, with some plants indicating competitive or above‑market hourly rates for operators and similar positions. This supports a broadly fair perception of base pay even as experiences vary by site.
  • Healthcare Strength — U.S. offerings include day‑one medical/vision and dental, employer HSA contributions, and 100% company‑paid life and short/long‑term disability, alongside an EAP. Some role descriptions also highlight mental‑health and fertility options.
  • Retirement Support — Packages commonly reference a 401(k) with company match and, in some locations, pension eligibility or company‑funded retirement contributions. This positions retirement benefits as a meaningful component of total rewards.

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The Company
HQ: Maidenhead
12,147 Employees

What We Do

DS Smith provides innovative packaging solutions, paper products and recycling services with a commitment to sustainability and a circular economy. Our core purpose is to Redefine Packaging for a Changing World, and our expert teams work closely with like-minded partners to incorporate renewable resources for products that minimize our environmental impact, reduce complexity and increase profitability through supply chain optimization

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