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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

  • 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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