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ESG data that is structured, sourced, and audit-ready. Not copied from a spreadsheet.

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Sustainability reporting runs on data. But in most organizations, that data lives in disconnected systems: energy management platforms, HR databases, ERP modules, facility management tools, supplier portals. An ESG data analyst from Bleen connects these sources, structures the output, and builds the infrastructure that makes reporting repeatable instead of annual crisis management.

Key Takeaways

  • Data architecture: connecting ESG-relevant systems (ERP, HRIS, energy platforms, facility tools) into a structured dataset
  • Carbon accounting databases: emission factors, activity data, calculation methodologies, scope 1/2/3 tracking
  • Automated data pipelines: reducing manual collection through API connections and scheduled imports
  • CSRD data point management: mapping, tracking, and validating the 1,100+ potential ESRS data points
  • Dashboards and visualization: real-time ESG performance views for management, board, and external reporting

What your ESG data analyst builds

Data architecture design. The analyst maps your data landscape: which systems hold ESG-relevant information, what formats they export, how frequently data updates, and where the gaps are. They design a data architecture that connects sources into a single structured dataset.

Carbon accounting infrastructure. GHG Protocol-compliant databases with emission factors, activity data categorization, calculation engines, and audit trails. The analyst sets up the system so carbon numbers update with each data refresh, not once a year during reporting season.

Automated pipelines. Where systems allow it, the analyst builds automated data flows: API connections to energy platforms, scheduled imports from HR systems, automated calculations that run on new data. The goal is to reduce manual data entry to the minimum.

ESRS data management. The analyst tracks which ESRS data points apply to your materiality, where each data point comes from, its current status (collected, estimated, missing), and its quality level. This tracking layer is what makes CSRD reporting manageable at scale.

Dashboards and reporting tools. Management dashboards that show ESG performance in real time. Board-level summaries that highlight trends and deviations. Reporting templates that populate automatically from the central dataset. The analyst builds all of these and maintains them.

Why a data specialist for ESG

ESG reporting is becoming a data engineering problem. CSRD compliance at scale requires the same rigor as financial reporting: consistent data sources, documented methodologies, audit trails, and automated quality checks. A sustainability generalist won't build that infrastructure.

Manual processes don't scale. A company with 10 sites and 200 data points needs 2,000 data entries per cycle. Manual collection via email and spreadsheets breaks down at this volume. An ESG data analyst automates what can be automated.

Data quality determines report quality. Under CSRD assurance, auditors trace every number back to its source. An ESG data analyst builds that traceability into the system from the start.

The infrastructure outlasts the project. Unlike a one-time report, a well-built data architecture serves your organization for years. The analyst builds it; your team maintains it.

How the engagement works

Discovery phase (2 to 4 weeks). Mapping your data landscape, identifying sources, assessing system capabilities, and designing the target architecture. Deliverable: data architecture plan and implementation roadmap.

Build phase (4 to 12 weeks). Setting up databases, building pipelines, configuring dashboards, and running the first end-to-end data cycle. The analyst works with your IT team on system access and integration.

Operate phase (ongoing). Maintaining data quality, running collection cycles, updating dashboards, and adapting the architecture as your reporting scope expands.

Typical format: 3 to 4 days per week during build phase. 1 to 2 days per week during operate phase. The analyst works remotely with on-site sessions for system access and stakeholder meetings.

They transformed with Bleen

Energy & natural resources

Elia: Selecting a CSRD Reporting Platform for Grid Operations

Selecting a CSRD Reporting Platform for Grid Operations. Elia ran a structured selection process to find a reporting tool that fits its CSRD obligations. We led the scoping, benchmark, RFP, and vendor evaluation across five phases, closing with a shortlist ready for contracting and a digitisation roadmap for CSRD datapoints.

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Manufacturing

Sioen: First Carbon Footprint for Sector-Wide Knowledge Sharing

First Carbon Footprint for Sector-Wide Knowledge Sharing. Working with Circular Wallonia, we helped Sioen complete their first comprehensive carbon footprint assessment and build internal capacity on emission reduction. The project delivered a transparent methodology designed for sector-wide knowledge sharing, complete with a prioritized decarbonization roadmap.

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Manufacturing

Deltrian: From Carbon Data to Climate Action

From Carbon Data to Climate Action. We deepened Deltrian's existing carbon footprint analysis, transforming raw data into actionable climate strategy. Through rigorous verification and strategic ideation workshops, we helped prioritize reduction levers and create a clear roadmap integrating climate goals into their cooperation projects.

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Build your ESG data infrastructure

Tell us about your current data landscape and reporting needs. We scope the engagement and assign a data analyst.

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