Data Analyst
What this job does:
Turns complex, messy data into decisions by building reliable datasets, analyzing them with appropriate statistical methods (sometimes including experimentation), and communicating insights through dashboards, writeups, and presentations.
This job is similar to these lab/research tasks:
QC and clean datasets; write reusable analysis scripts/notebooks; run sensitivity checks and statistical tests; generate publication-grade figures; document methods and results; present findings to collaborators and iterate.
Typical starting salary range
$108k to $205k
Salary estimate represented as 25th to 75th percentile. Gathered from recent job postings, Glassdoor.com, and Salary.com
Daily task breakdown
Data wrangling & pipeline work 30%
Statistical analysis/modeling 25%
Dashboards/reporting/storytelling 20%
Stakeholder consulting/decision support 15%
Quality checks, documentation, mentoring & other 10%.
Skills you'll use in this job:
SQL plus Python or R; statistical inference and experimental thinking; data modeling and metrics definition; visualization and reporting; stakeholder communication; reproducible workflows (documentation, version control).
Talk about these PhD skills in your resume and interview:
Frame your dissertation like an end-to-end analytics engagement: define the question and success metric, build an analysis plan, wrangle messy raw data into an auditable dataset, run statistically defensible analyses, clearly communicate the so what, and document the process for reproducibility. Emphasize cross-lab collaboration as stakeholder management.
Alternative job titles to search:
Research Data Analyst; Product Analyst; Analytics Engineer; Business Intelligence Analyst; Decision Scientist; Quantitative Product Analyst; Applied Data Scientist (analytics-focused); Learning Analyst; Insights Analyst.
*Note:
-Job titles are inconsistent between companies. Try various keywords.
-PhDs tend to undershoot seniority level. Target higher than you think.
