3+ years of experience as a Data Analyst or similar role
Strong proficiency in Python (pandas, numpy, docker, etc.)
Advanced Excel skills, including complex formulas and VBA/Power Query
Experience designing and documenting data pipelines or ETL workflows
Ability to work with messy, real-world data
Strong communication skills for interacting with non-technical stakeholders
Prior AI experience is a plus
Responsibilities
Document and map current data flow, including inputs and outputs
Collaborate with stakeholders to translate process requirements into automated solutions
Redesign processes for automation using Python and SQL
Automate data ingestion, cleaning, and transformation across multiple sources
Build validation checks to ensure automated outputs improve on manual processes
Develop user-friendly reports and dashboards for non-technical stakeholders
Document new workflows for team handoff
Benefits
Onsite work in Nashua, NH or Valley Green, PA
Opportunity to work on critical data modernization projects
Collaboration with cross-functional teams
Potential for professional growth in data automation
Engagement with advanced technologies and methodologies
Full Job Description
Position: Data Analyst
Location: Nashua, NH
We are currently seeking a detail-oriented and technically skilled Data Analyst to join our High Speed Backplane team that supports the High Speed Products Group. The position will be located onsite in one of either our Valley Green, PA or Nashua, NH offices.
About the Role
The Data Analyst must have programming proficiency and will lead the modernization of manual, Excel-based workflows into scalable, automated data pipelines - starting with a critical existing process and expanding across multiple business processes over time. You will work closely with cross-functional stakeholders to gather requirements, design solutions, and deliver reliable data outputs that drive informed decision-making.
RESPONSIBILITIES:
What you'll do:
Document and map the current data flow, including inputs, transformations, manual steps, and outputs
Collaborate with stakeholders to understand their process requirements and translate them into automated solutions
Redesign and implement processes for automation using Python and SQL, eliminating fragile spreadsheet logic and replacing manual work with version-controlled, production-ready scripts
Automate data ingestion, cleaning, transformation, and delivery across multiple sources
Build validation checks to ensure the automated output matches and improves on the manual process
Develop reports, dashboards, or templates so non-technical stakeholders can consume outputs without touching raw data
Document the new workflow clearly and enable handoff to the broader team
QUALIFICATIONS: A good candidate should have 3+ years of experience as a Data Analyst, Analytics Engineer, or similar role, with a proven track record of automating manual data processes.
Strong Python proficiency (pandas, numpy, docker, openpyxl, fastAPI, Django, ETL scripting) - comfortable writing production-ready code, not just exploratory analysis
Familiarity working with JSON for data handling & CSS for styling dashboards or visualizations
Advanced Excel skills, including complex formulas, pivot tables, and VBA/Power Query, to fully understand and rebuild existing processes
Experience designing, building, and documenting data pipelines or ETL workflows from scratch
Comfort working with messy, real-world data - cleaning, reconciling, and validating across multiple sources
Strong communication skills - able to gather requirements from non-technical stakeholders and explain technical decisions clearly to mixed audiences
Prior AI experience a plus, especially with Claude, Perplexity, or Cursor
