Turn business questions into trustworthy analysis, dashboards, and decision-ready recommendations.
These roles come from active job data and are independent of this Career Path. Open Jobs by Role to search current U.S. opportunities by the titles employers are using now.
Backend Engineering and related U.S. opportunities.
View current U.S. jobs →489 current openingsProduct Management and related U.S. opportunities.
View current U.S. jobs →482 current openingsTechnical Program Management and related U.S. opportunities.
View current U.S. jobs →471 current openingsProgram Management and related U.S. opportunities.
View current U.S. jobs →409 current openingsBusiness Operations and related U.S. opportunities.
View current U.S. jobs →245 current openingsSolutions Architecture and related U.S. opportunities.
View current U.S. jobs →237 current openingsProject Management and related U.S. opportunities.
View current U.S. jobs →230 current openingsFinancial Analysis and related U.S. opportunities.
View current U.S. jobs →Only the live programs ITLearn360 currently offers are shown here. Each program connects to related U.S. jobs, assessments and free learning resources.
Build practical analyst foundations around security operations, incidents, cloud security and Security+ concepts.
Learn governance, risk, compliance, controls, AI governance and responsible-AI practices used in modern organizations.
Learn requirements, Agile, Jira, SQL, UAT and practical AI-assisted business-analysis workflows.
A Data Analyst clarifies business questions, finds and validates data, analyzes patterns, and communicates findings in a form decision-makers can use.
Percentages show how often each skill appears across relevant current opportunities for this career.
Translate vague requests into measurable questions and decisions.
Clean, summarize, validate, and explore tabular data.
Query, join, aggregate, and validate data.
Identify missing, duplicated, inconsistent, or misleading data.
Build clear charts and dashboards tied to business questions.
Use Python and pandas when repeatable analysis or larger datasets justify it.
Explain findings, limitations, and recommended next actions.
Finding quizzes that match this career path...
Fast exploration, cleaning, formulas, pivots, and reporting.
Data retrieval, joins, aggregation, and validation.
Interactive dashboards and business reporting.
Repeatable data preparation and analysis.
Versioning analysis code and portfolio work.
Define stakeholder, decision, metric, data source, and limitations.
Locate sources and test data quality before analysis.
Use spreadsheets, SQL, or Python to answer the defined question.
Choose charts or dashboards that make the finding understandable.
Explain what happened, why it matters, confidence, and next action.
Learn question framing, data structure, formulas, pivots, and data-quality checks.
Query, join, filter, aggregate, and validate relational data.
Choose useful charts, KPIs, filters, and dashboard layouts.
Use pandas for reusable cleaning and analysis workflows.
Package analysis, queries, dashboards, and decision notes.
Leaders need to understand course interest, registration drop-off, channel performance, and underperforming classes.
Turn raw operational data into trustworthy recommendations.
Analyze a simulated online-training business to understand course interest, registration drop-off, channel performance, and class outcomes.
Define the decision, metric, stakeholder, source, and limitations.
Queries supporting enrollment, conversion, and channel analysis.
A Power BI or Tableau view with documented KPI definitions.
Document missing, duplicate, or inconsistent records and how they were handled.
Summarize findings, uncertainty, and recommended next actions.
Shows ability to retrieve and validate business data.
Shows visual communication and metric design.
Demonstrates skepticism about source data.
Shows business interpretation rather than chart production alone.
Explain stakeholder, decision, metric, source, grain, and limitations.
Discuss completeness, duplicates, types, ranges, joins, and business-rule checks.
Explain trade-offs based on speed, scale, repeatability, and collaboration.
