Data Analyst

Total Marketing Support Limited; United States; Remote; USD 70,000 - 110,000; Full time

Job summary

DS Smith seeks a Data Analyst to design, deliver and maintain data pipelines, datasets and analytics aligned with our cloud and digital manufacturing strategy. You will collaborate with data experts, data engineers and PowerBI developers, ensuring high quality data governance and governance practices across the division.

You will contribute to providing clear, actionable insights to business stakeholders, translate requirements into technical deliverables, and participate in sprint planning to

Qualifications

• Bachelor’s degree or equivalent experience in a technology, analytical or business field.
• 3+ years in data analyst, BI developer, or data engineer roles.
• Strong SQL and Python for data extraction, transformation and querying.
• Experience with data pipelines and cloud platforms (AWS or Azure).
• Clear communication with non-technical stakeholders.
• Interest in manufacturing/supply chain data is a plus.

Responsibilities

• Develop and maintain PowerBI dashboards with focus on dataset design, data modeling and report performance.
• Write and optimize SQL queries and DAX expressions for reporting needs.
• Manage PowerBI workspace environments, including access controls and release processes.
• Build and maintain data pipelines to ingest, transform and deliver data to end users.
• Support analytics solutions in the cloud data platform (AWS/Azure) including testing and documentation.
• Maintain data quality across pipelines, troubleshoot and monitor uptime.

Skills

SQL

Python

Data extraction

Analytics

English fluency

Education

Bachelor’s degree in technology/analytical or business-related field

Tools

AWS

Azure

Job description

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 elevate 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

We are DS Smith, together with International Paper, we are a global leader in sustainable packaging solutions and other fibre-based products.We believe a better, more sustainable tomorrow is possible with the right people, who challenge and support one another to enact positive change. We employ more than 60,000 colleagues in North America and Europe, Middle East and Africa (EMEA), who are experts in innovation,manufacturing, design, sales, sustainability, supply chain, and much more. Together with our customers, we make the world safer and more productive, one sustainable packaging solution at a time. Become part of a world-leading organisation and do your best work with us! As the journey continues of bringing together the strengths of both organisations, during your candidate experience you may engage with our colleagues from International Paper! You could visit an International Paper or DS Smith site or office.