Lab Data Analytics & Requirements Analyst

Aditi Consulting; Cambridge (MA); Sur place; USD 63 000 - 66 000; Plein temps

Avantages offerts par ce poste

Medical, dental, and vision benefits

Health savings account

Paid time off

Bereavement leave

401(k) with employer match

Life and disability insurance

Commuter benefits

Dependent care FSA

Discretionary bonus

Résumé du poste

Aditi Consulting in Cambridge, MA is seeking an EW Product Analyst to enable digital transformation across Process Development laboratories. You will define requirements, prepare backlogs, validate data, and collaborate with IDA engineers, data teams, and vendors to ensure data capture delivers value aligned with business priorities.

Responsibilities include translating data needs into clear requirements, maintaining reference data, and creating dashboards with Databricks, Spotfire, Tableau,

Qualifications

• Bachelor's degree and 5 years of related experience in science, tech, or analytics.
• Associate's degree and 10 years of related experience.
• High school diploma and 12 years of related experience.

Responsabilités

• Partner with business stakeholders, instrument owners, Functional Area Leads, IDA engineers, Reference Data teams, and software vendors to support delivery of HLEE and IDA capabilities across Process Development laboratories.
• Translate laboratory, experimental data capture, instrument data acquisition, and data analytics needs into clear, detailed, and testable business and functional requirements.
• Partner closely with HLEE Product owner in requirements gathering, documentation, backlog refinement, prioritization, and roadmap planning for HLEE and IDA capabilities.
• Work with Business Owners and Functional Area Leads to manage the backlog, clarify priorities, track dependencies, and provide visibility into onboarding and delivery progress.
• Collaborate with Reference Data and data engineering teams to manage and maintain instrument-related reference data, including instrument data URIs and other data elements required to support IDA workflows and downstream analytics.
• Create dashboards and reporting views for HLEE and IDA data using tools such as Databricks, Spotfire, Tableau, or equivalent visualization platforms.
• Use SQL queries and database skills to explore, validate, analyze, and summarize HLEE and IDA data in support of requirements clarification, testing, validation, and business decision-making.
• Create, maintain, and validate test scripts based on approved requirements and expected business outcomes.
• Execute test scripts and support end-to-end validation of workflows, including test data, outputs, defects, evidence, analytics outputs, dashboards, and business acceptance.
• Document test results, defects, validation evidence, key decisions, and business approvals in alignment with project, documentation, and quality expectations.
• Support UAT, defect triage, issue resolution, business validation, and release readiness activities for HLEE and IDA capabilities.
• Use JIRA or similar tools to support requirements tracking, backlog management, issue tracking, defect management, and delivery transparency.
• Use ALM or equivalent testing and validation tools, where applicable, to document test execution, validation evidence, and approval status.
• Support continuous improvement of HLEE and IDA business analysis, testing, validation, analytics, documentation, and delivery practices.
• Communicate delivery progress, risks, issues, dependencies, and data insights clearly across business and technical stakeholders.

Connaissances

Business analysis

Testing & validation

Laboratory data & analytics

Formation

Bachelor's degree

Associate's degree

High school diploma or GED

Outils

JIRA

ALM

Databricks

Spotfire

Tableau

SQL

Description du poste

Aditi Consulting in Cambridge, MA is seeking an EW Product Analyst to enable digital transformation across Process Development laboratories. You will define requirements, prepare backlogs, validate data, and collaborate with IDA engineers, data teams, and vendors to ensure data capture delivers value aligned with business priorities.

Responsibilities include translating data needs into clear requirements, maintaining reference data, and creating dashboards with Databricks, Spotfire, Tableau,