Senior Data Analyst: Dashboards & Data Insights (AWS)

Houghton Mifflin Harcourt Co; Dublin; On-site; EUR 65,000 - 90,000; Full time

Job summary

Houghton Mifflin Harcourt’s Data Science & Learning Analytics team is seeking a Senior Data Analyst to derive critical insights from large digital learning datasets. You will create datasets, dashboards, and metrics to guide product decisions, combining technical skills with business acumen for data-informed strategies.

Responsibilities include data preparation, descriptive analyses, and KPI development, with a focus on clear storytelling and stakeholder communication across teams.

Qualifications

• 3+ years of experience in a data analyst role.
• SQL expert who can extract and transform data from a data lake.
• Hands on experience using one of R or Python.
• Experience with source control tools such as Git.
• Have cloud platform experience (AWS preferred).
• Enjoy working with stakeholders to analyze problems and develop KPIs.
• Excellent data visualization skills, build dashboards (Shiny / Tableau / etc.) and tell stories.
• Bring expertise in data documentation and automated data validation.
• Strong analytic, critical thinking, and decision-making skills.
• Communicate clearly in English to technical and non-technical audiences.

Responsibilities

• Import, clean, transform, validate, and analyze data to provide evidence to decision makers.
• Test data to identify data integrity issues, troubleshoot problems and coordinate with Data Scientists to plan solutions.
• Perform descriptive statistical analyses and build datasets and dashboards providing actionable insight to stakeholders.

Skills

SQL

Python / R

Git

AWS

Data visualization

Stakeholder comms

Data docs

Data validation

Analytical thinking

Teamwork

English comms

Tools

Tableau

Shiny

SQL

Python

R

Git

AWS

Job description

Houghton Mifflin Harcourt’s Data Science & Learning Analytics team is seeking a Senior Data Analyst to derive critical insights from large digital learning datasets. You will create datasets, dashboards, and metrics to guide product decisions, combining technical skills with business acumen for data-informed strategies.

Responsibilities include data preparation, descriptive analyses, and KPI development, with a focus on clear storytelling and stakeholder communication across teams.