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Data Analyst

Data Analysts turn raw data into meaningful insights that drive business decisions. They collect, clean, analyze, and visualize data to help teams understand performance and opportunities.

Salary Ranges

All ranges are for full-time, permanent hires working 40 hours a week.

  • Analysts with ~1–2 years of experience supporting reporting and analytics.

    Key Responsibilities

    • Collect and clean datasets.

    • Maintain reports and dashboards.

    • Support ad-hoc analysis for internal teams.

    • Document and validate data sources.

    Autonomy & Decision-Making

    Works with oversight; performs predefined analytical tasks and supports senior analysts.

    Tools & Skills

    • Excel / Google Sheets proficiency.

    • Basic SQL knowledge.

    • BI tools (Tableau, Power BI, Looker).

    • Strong attention to accuracy.

    Ideal For

    Teams beginning to build their data and reporting foundation.

  • Experienced analysts managing end-to-end reporting processes.

    Key Responsibilities

    • Design dashboards and automate reports.

    • Analyze KPIs and financial performance.

    • Identify patterns and present findings.

    • Collaborate with multiple departments on data-driven improvements.

    Autonomy & Decision-Making

    Operates independently; manages recurring reporting and provides actionable insights to leadership.

    Tools & Skills

    • Strong SQL and data visualization skills.

    • Intermediate Python or R knowledge.

    • Experience with large datasets and automation.

    • Business and analytical storytelling.

    Ideal For

    Companies using data for operational or performance decisions.

  • Senior professionals leading analytics and data strategy.

    Key Responsibilities

    • Design data pipelines and governance models.

    • Build predictive and advanced analytics models.

    • Lead cross-functional data initiatives.

    • Translate complex data into strategic recommendations.

    Autonomy & Decision-Making

    Owns company-wide analytics strategy; defines frameworks and ensures data quality and impact.

    Tools & Skills

    • Advanced SQL, Python, and BI proficiency.

    • Predictive modeling and forecasting.

    • Data infrastructure and cloud experience.

    • Leadership and communication skills.

    Ideal For

    Organizations using data to drive business growth and strategy.

Key Factors that impact Salary and Seniority

  • Previous US experience

  • Technical expertise in SQL, Python, BI tools

  • Data complexity and analysis scope

  • Industry experience and business impact

  • Leadership and presentation skills

Alternative names for this role

Business Intelligence Analyst

Reporting Analyst

Data Visualization Specialist

Operations Analyst

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Meet some of our exceptional Data Analysts


Click on the CVs below to view the full CVs and portfolios (if applicable).

These are just a few examples of the outstanding quality and experience of our talent. If you want to hire someone like this, get in touch and we’ll start the process as soon as possible.

Emma | $2,500/mo

  • Emma is a Mid-Level Data Analyst with experience in marketing and operations analytics, delivering actionable insights in fast-paced environments. She specializes in streamlining reporting processes, developing dashboards, and analyzing campaign performance.

Carlos | $3,500/mo

  • Carlos is a Mid-Level Data Analyst with a strong foundation in cloud-native systems, API integrations, and production-grade data pipelines. He specializes in simplifying complex data systems to deliver reliable insights, with a particular focus on retail and e-commerce platforms.

Alejandro | $4,500/mo

  • Alejandro is a Senior Data Analyst with 6 years of experience across D2C, e-commerce, and subscription-driven businesses. He specializes in Shopify data, retention analysis, cohort modeling, and BI automation, with a track record of supporting commercial and product teams.

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