Data Analyst

Aditi Consulting

Cambridge (MA)

On-site

USD 63,000 - 66,000

Full time

7 hours ago

Be an early applicant

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

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

Job summary

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.

Responsibilities

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.

Skills

Business analysis

Testing & validation

Laboratory data & analytics

Education

Bachelor's degree

Associate's degree

High school diploma or GED

Tools

JIRA

ALM

Databricks

Spotfire

Tableau

SQL

Job description

Payrate: $46.00 - $48.00/hr.

Summary

This role will help enable digital transformation across Process Development laboratories by supporting clear requirements definition, backlog readiness, testing, validation, documentation and analytics enablement for Experimental data capture and IDA capabilities. The EW Product Analyst will work closely with business stakeholders, instrument owners, Functional Area Leads, IDA engineers, Reference Data teams, data analytics partners and software vendor partners to ensure laboratory and instrument data capture needs are clearly documented, developed, tested, validated, visualized, and delivered in alignment with business priorities.

Job Responsibilities

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.

Basic Qualifications

Bachelor's degree and 5 years of experience in Science, Technology, Business Analysis, Laboratory Informatics, Data Analytics, Computer Science, Engineering, or a related field, OR
Associate's degree and 10 years of experience in Science, Technology, Business Analysis, Laboratory Informatics, Data Analytics, Computer Science, Engineering, or a related field, OR
High school diploma / GED and 12 years of experience in Science, Technology, Business Analysis, Laboratory Informatics, Data Analytics, Computer Science, Engineering, or a related field.

Preferred Qualifications

Familiarity with ELN, LIMS, Sample Management and Instrument data acquisition.
Working knowledge of JIRA for requirements, backlog, issue, and defect tracking.
Experience with ALM or equivalent testing and validation tools.
Prior experience working with pharmaceutical or biotechnology laboratory instruments.
Experience supporting Process Development laboratory environments.
Experience with data analytics, scientific data workflows, data pipelines, structured data capture from laboratory systems, or dashboard delivery for scientific or operational data.
Experience working with Databricks, Spotfire, Tableau, SQL databases, or related analytics and visualization platforms in a laboratory or scientific data context is a PLUS.
Science background in Biology, Chemistry, Biochemistry, Biotechnology, Engineering, Data Science, Computer Science, or a related discipline.
Experience working in a regulated or quality-focused environment.

Top 3 Must Have Skill Sets

Business analysis and agile delivery: Proven ability to gather, document, and refine clear, detailed, testable business/functional requirements; manage backlogs, priorities, dependencies, and defects in JIRA or a similar tool.
Testing, validation, and documentation: Hands-on experience creating and executing test scripts, supporting UAT, documenting validation evidence/results, and managing defects and approvals in a regulated or quality-focused environment.
Laboratory data and analytics: Experience with laboratory informatics or scientific data workflows (e.g., ELN, LIMS, sample management, or instrument data acquisition), plus working knowledge of SQL and dashboard/reporting tools such as Databricks, Spotfire, Tableau, or equivalent.

Pay Transparency

The typical base pay for this role across the U.S. is: $46.00 - $48.00/hr.

Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law.

Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience.

Full-time employees are eligible to select from different benefits packages.

Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus.

Sick leave and mobile phone reimbursement provided based on state or local law.