Data Analyst | $60/hr Remote

Crossing Hurdles; United States; Remote; USD 41,000 - 83,000; Part time

Job summary

Crossing Hurdles is seeking a Data Analyst for an hourly remote contract to review datasets, assess outputs for accuracy, and ensure adherence to guidelines.

You will follow detailed rubrics, flag inconsistencies, document rationale, and provide actionable feedback while handling high-volume data reviews.

Qualifications

• Strong experience in data review, data quality, quality assurance, or analytical roles.
• Proven expertise in reviewing, validating, and critiquing data or deliverables based on explicit criteria.
• Exceptional ability to follow detailed written instructions and apply complex evaluation rubrics precisely.
• Demonstrated comfort with ambiguity, including making justifiable decisions when guidelines are incomplete.
• Advanced attention to detail and error-spotting capabilities across repetitive or high-volume work.
• Strong written and verbal communication skills for documenting findings and providing feedback.
• Baseline fluency with spreadsheets (sorting, filtering, simple formulas); SQL or hands-on data querying is a plus.

Responsibilities

• Review datasets and detailed task outputs for accuracy, completeness, and adherence to guidelines.
• Identify and flag inconsistencies, errors, and outputs that deviate from provided instructions.
• Apply structured rubrics and evaluation criteria consistently across large data sets.
• Exercise sound judgment and document rationale in ambiguous scenarios where guidelines are unclear.
• Escalate patterns or recurring data issues for further analysis rather than addressing them individually.
• Provide clear, actionable written and verbal feedback pinpointing issues and suggesting resolution paths.
• Maintain meticulous attention to detail while working through high volumes of repetitive data review assignments.

Skills

Data quality

QA

Analytical skills

SQL

Spreadsheets

Tools

SQL

Job description

• Review datasets and detailed task outputs for accuracy, completeness, and adherence to guidelines.
• Identify and flag inconsistencies, errors, and outputs that deviate from provided instructions.
• Apply structured rubrics and evaluation criteria consistently across large data sets.
• Exercise sound judgment and document rationale in ambiguous scenarios where guidelines are unclear.
• Escalate patterns or recurring data issues for further analysis rather than addressing them individually.
• Provide clear, actionable written and verbal feedback pinpointing issues and suggesting resolution paths.
• Maintain meticulous attention to detail while working through high volumes of repetitive data review assignments.

Position:

Data Analyst

Type:

Hourly contract

Compensation:

$30 - $60/hour

Location:

Remote

Commitment:

10 40 hours/week

Role Responsibilities

• Review datasets and detailed task outputs for accuracy, completeness, and adherence to guidelines.
• Identify and flag inconsistencies, errors, and outputs that deviate from provided instructions.
• Apply structured rubrics and evaluation criteria consistently across large data sets.
• Exercise sound judgment and document rationale in ambiguous scenarios where guidelines are unclear.
• Escalate patterns or recurring data issues for further analysis rather than addressing them individually.
• Provide clear, actionable written and verbal feedback pinpointning issues and suggesting resolution paths.
• Maintain meticulous attention to detail while working through high volumes of repetitive data review assignments.

Requirements

• Strong experience in data review, data quality, quality assurance, or analytical roles.
• Proven expertise in reviewing, validating, and critiquing data or deliverables based on explicit criteria.
• Exceptional ability to follow detailed written instructions and apply complex evaluation rubrics precisely.
• Demonstrated comfort with ambiguity, including making justifiable decisions when guidelines are incomplete.
• Advanced attention to detail and error-spotting capabilities across repetitive or high-volume work.
• Strong written and verbal communication skills for documenting findings and providing feedback.
• Baseline fluency with spreadsheets (sorting, filtering, simple formulas); SQL or hands-on data querying is a plus.