Data Analyst
OPEN Data Jobs · Data Services
- Location: Washington (United States of America)
- Work arrangement: hybrid
- Employment type: Full Time
- Seniority: middle
- Posted:
Job description
Position:
Data Analyst
Company:
OPEN Data Jobs
Location:
United States, Washington, District of Columbia
Employment type:
Full time
Work Arrangement:
Hybrid
Short Summary:
Data Analysts make operational data answerable by working with stakeholders to define measures, acquire and reconcile data, and turn recurring questions into analyses, reports, and dashboards.
Responsibilities:
- Build recurring reports and dashboards with documented measures, refresh schedules, filters, alerts, and access controls.
- Clean analytical datasets and semantic models that reconcile source fields, business definitions, relationships, and calculation logic.
- Create queries, scripts, and repeatable workflows to replace manual reporting.
- Conduct variance, trend, cohort, performance, financial, program, or operational analyses.
- Perform data-quality checks, reconciliation reports, issue logs, and documentation.
Requirement:
- Practical skill in querying, cleaning, joining, aggregating, and validating data with SQL, spreadsheets, scripting, or comparable analytical tools.
- Experience defining measures, documenting business rules, and building reliable reports or dashboards.
- Working knowledge of descriptive statistics, trend analysis, outlier investigation, data modeling, and visualization selection.
- Habits that make analysis reproducible, including version control, documented transformations, quality checks, and peer review.
- Ability to present findings to technical and nontechnical audiences.
Benefits:
Compensation, benefits, work location, and employment terms are set for each specific opening and will be stated with that opening.
Data Analyst
Company:
OPEN Data Jobs
Location:
United States, Washington, District of Columbia
Employment type:
Full time
Work Arrangement:
Hybrid
Short Summary:
Data Analysts make operational data answerable by working with stakeholders to define measures, acquire and reconcile data, and turn recurring questions into analyses, reports, and dashboards.
Responsibilities:
- Build recurring reports and dashboards with documented measures, refresh schedules, filters, alerts, and access controls.
- Clean analytical datasets and semantic models that reconcile source fields, business definitions, relationships, and calculation logic.
- Create queries, scripts, and repeatable workflows to replace manual reporting.
- Conduct variance, trend, cohort, performance, financial, program, or operational analyses.
- Perform data-quality checks, reconciliation reports, issue logs, and documentation.
Requirement:
- Practical skill in querying, cleaning, joining, aggregating, and validating data with SQL, spreadsheets, scripting, or comparable analytical tools.
- Experience defining measures, documenting business rules, and building reliable reports or dashboards.
- Working knowledge of descriptive statistics, trend analysis, outlier investigation, data modeling, and visualization selection.
- Habits that make analysis reproducible, including version control, documented transformations, quality checks, and peer review.
- Ability to present findings to technical and nontechnical audiences.
Benefits:
Compensation, benefits, work location, and employment terms are set for each specific opening and will be stated with that opening.
Skills
- data_science/data_engineering
- scripting
- sql
Languages
EN
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