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Business Analyst — Energy / EMS Platform

Open 16d

Summary

Owns energy-domain requirements for an EMS platform, converting DSO rules and field feedback into testable specs using SDD and AI tools to bridge energy-market reality and engineering.

Our partner’s EMS platform sits between technical reality (PLCs, inverters, telemetry) and energy-market reality (DSO requirements, balancing, curtailment, billing). Today, this domain and business knowledge lives mainly in the heads of the CTO and product owner, creating a bottleneck as the team scales. This new role will own turning that knowledge into written, testable requirements using Spec-Driven Development (SDD) and AI-assisted pipelines — becoming the team’s primary bridge between the energy world and engineering.

Main Responsibilities

  • Take over requirements intake from the CTO and product owner, converting discussions, DSO correspondence, and field feedback into a structured, prioritized backlog with written specs
  • Specify energy-domain features end-to-end — curtailment orchestration, group energy-compensation logic, price-forecast handling — with acceptance criteria QA can test against
  • Extend the existing requirements-traceability practice (BR/SR/SwR) from the PLC track to the whole platform, supporting audits and NIS2 compliance
  • Document the domain: build a glossary and rulebook (market roles, settlement logic, sign conventions) so engineers stop relying on the CTO to explain the sector
  • Own feature acceptance — verifying delivered work against specs and domain logic before it reaches dispatchers and clients
  • Use AI tools to draft requirements and acceptance criteria from raw inputs (meeting notes, DSO correspondence); maintain specs as living, primary-source-of-truth documents; implement automated traceability

Mandatory Requirements
Must-have

  • Strong, hands-on knowledge of the energy sector (the core requirement — interviews go deep here):

Market structure: TSO/DSO roles, generators, suppliers, balancing responsibility
Renewables operations: PV generation profiles, curtailment, BESS use cases (peak shaving, self-consumption, balancing)
Metering and settlement: billing meters, imbalance, day-ahead/intraday pricing, forecast-to-financial-outcome logic
Grid-code and regulatory awareness: what a DSO can demand from a generator, and what evidence operators must provide

  • 3+ years as a Business Analyst (or equivalent) on software products
  • Requirements engineering craft — stakeholder elicitation, specs with acceptance criteria, epic decomposition, traceability
  • Comfortable working with technical teams — can read an API spec or data model, ask precise engineering questions
  • Data literacy — comfortable in Excel and basic SQL
  • Romanian + English B2

Missing energy-sector depth is an automatic disqualifier, regardless of BA experience.
Nice-to-have

  • Experience with EMS/SCADA/energy-management products
  • Moldova/Romania market specifics — local DSO/TSO landscape, ANRE regulations, regional balancing context
  • Understanding of MILP optimizer capabilities/limits
  • Formal requirements methods (BR/SR/SwR layering, traceability matrices, BPMN/UML)
  • Exposure to NIS2 or regulated-industry documentation
  • Jira/Confluence fluency
  • Ru/UA language

Red flags

  • Energy knowledge is purely theoretical — no real experience with a plant, meter, market process, or settlement dispute
  • Past specs are meeting notes, not real requirements — no acceptance criteria or edge cases
  • Can’t explain domain concepts simply; hides behind jargon
  • Has never had a requirement proven wrong (i.e., never actually checked)
  • Needs a PM as an intermediary to work with engineers
  • Resistance to SDD or AI-augmented requirements engineering

We offer

  • Format: Remote
  • Search geography: Moldova, Romania, Ukraine, then rest of Europe
  • Direct ownership of a critical, high-visibility function — the primary translator between energy-market reality and engineering
  • Clear runway to shape and grow the BA craft at the company (energy-domain depth valued over years of BA title)
  • Modern, AI-first workflow — leveraging SDD and AI tools rather than manual, ad hoc documentation

See also

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