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Data Analyst

Full-Time Data Analysts from $1,500/month

Get started with vetted Data Analysts in as little as 10 days and save up to 87%. Kuubiik manages contracts, payments, and HR core processes, helping you avoid compliance gaps and unnecessary risk.

Trusted by 500+
fast-growing companies

Trusted by 500+ fast-growing companies

How much does it cost to outsource a Data Analyst?

Compare monthly outsourcing costs and skill levels across junior, mid-level, and senior Data Analysts.

Junior Data Analyst

1 - 2 years of experience

  • Degree in Business, Statistics, Economics, or a related field
  • 1-2 years of experience working with data in a professional setting
  • Proficiency in Excel and basic SQL for data extraction and analysis
  • Familiarity with at least one BI or visualisation tool (Power BI, Tableau, Looker)
  • Good attention to detail and ability to spot data inconsistencies
  • Comfortable presenting findings in written or visual formats

Southeast Asia

$1,500 - $2,200 /mo

LATAM

$2,800 - $4,000 /mo

USA

$5,500 - $7,000 /mo

Mid-Level Data Analyst

3 - 5 years of experience

  • Degree in a relevant analytical or business field
  • 3+ years of experience transforming raw data into business insights
  • Strong SQL skills and proficiency in Python or R for data manipulation
  • Experienced with dashboard creation and reporting automation
  • Able to work independently on multi-source data consolidation projects
  • Comfortable liaising with stakeholders across different business functions

Southeast Asia

$2,200 - $3,200 /mo

LATAM

$4,000 - $5,500 /mo

USA

$8,000 - $10,500 /mo

Senior Data Analyst

6+ years of experience

  • Extensive experience across analytics, reporting, and data strategy
  • 6+ years of experience delivering insights that directly influenced business decisions
  • Expert-level SQL, advanced spreadsheet skills, and proficiency in BI tools
  • Experience defining KPI frameworks and analytics standards for teams
  • Able to mentor junior analysts and lead data projects independently
  • Strong business acumen and ability to connect data outputs to strategic outcomes

Southeast Asia

$3,200 - $4,500 /mo

LATAM

$5,500 - $8,000 /mo

USA

$10,500 - $14,000 /mo

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Data Analyst responsibilities and core areas of work

Data Analysts are analytical experts who excel in collecting, processing, and analyzing data to generate valuable insights and support data-driven decision-making.

Data Collection & Cleaning

  • A Data Analyst extracts data from multiple sources including databases, spreadsheets, and APIs.
  • Identify and resolve data quality issues such as duplicates, missing values, and formatting errors.
  • Maintain clean, well-documented datasets that are ready for analysis at any time.

Reporting & Dashboards

  • Build and maintain recurring reports and dashboards for key business metrics.
  • Use tools like Power BI, Tableau, or Looker to create visual, interactive reports.
  • Automate report generation where possible to reduce manual effort across teams.

Business Insights

  • Analyse trends and patterns to surface insights relevant to sales, operations, or marketing.
  • Provide clear recommendations based on data findings to guide business decisions.
  • Respond to ad-hoc data requests from different teams with accuracy and speed.

KPI Tracking

  • Define and maintain KPI frameworks that align with company and team objectives.
  • Track performance against targets and flag deviations or risks early.
  • Collaborate with leadership to refine what gets measured and how results are interpreted.

SQL & Data Querying

  • Write complex SQL queries to extract, join, and aggregate data across multiple tables.
  • Optimise queries for performance across large datasets in relational databases.
  • Document data queries and logic so they are reusable and understandable by the wider team.

Cross-Team Collaboration

  • A Data Analyst partners with marketing, finance, product, and operations teams to understand their data needs.
  • Translate business questions into structured analytical briefs and data pulls.
  • Present findings in plain language to audiences with varying levels of technical knowledge.

Tools & Platforms

  • Proficient in SQL, Excel, and at least one major BI tool (Power BI, Tableau, Looker).
  • Experience working with cloud data warehouses such as BigQuery, Redshift, or Snowflake.
  • Comfortable using Python or R for data manipulation and lightweight analysis tasks.

Finding the right resource has never been more flexible

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