Data Analyst

Job Title: Data Analyst - Market Research

Location: Remote

Job Type: Contract

Academian are seeking a data-driven and detail-oriented Data Analyst to support a market

research project focused on validating the effectiveness and relevance of career readiness

education courses. The ideal candidate will be skilledin analyzing both primary and secondary

data sources and translating insights into actionable strategies that inform program design,

enrollment outreach, and course effectiveness.

Key Responsibilities:

Analyze and synthesize data generated from primary research (surveys, interviews,

focus groups) and secondary research (public databases, academic studies, labor

market insights).

Identify patterns, trends, and correlations across student clusters, demographic

segments, and course categories.

Support the development of a competency framework validation strategy using

quantitative and qualitative data insights.

Evaluate key educational performance indicators such as student engagement, course

completion rates, and post-course outcomes.

Assist in designing and maintaining interactive dashboards and visualizations to

communicate insights with internal teams and stakeholders.

Collaborate with project managers, instructional designers, and enrollment strategists

to translate insights into tactical actions.

Required Qualifications:

Bachelor's degree in Data Science, Statistics, Economics, Market Research,

Educational Research, or a related field.

2-4 years of experience in data analysis or market research, preferably in the education,

workforce development, or EdTech sectors.

Proficient in data analysis tools (Advanced Excel knowledge is mandatory).

Strong understanding of educational metrics (e.g., enrollment trends, course

completion, competency validation).

Ability to interpret and communicate complex data findings to both technical and non-

technical stakeholders.

Preferred Qualifications:

Experience working with education or labor market datasets (e.g., IPEDS, BLS, EMSI,

NCES).

e Familiarity with survey design, data cleaning, and qualitative data coding.

e Experience in user segmentation or cluster analysis.

e Knowledge of career readiness frameworks or employability skill assessments.