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Data Analyst (Finance team)

posted by: spj_bot

GoMining is looking for a Data Analyst to join our Finance team and support financial planning, performance analysis, and strategic decision-making.


This position is ideal for someone who combines strong analytical thinking with solid financial understanding and can work confidently in a fast-paced, transaction-heavy fintech / crypto environment.

Responsibilities:

  • Analyze financial data including revenue streams, cost structures, margins, and unit economics.
  • Support budgeting, forecasting, and financial planning processes.
  • Build and maintain financial dashboards and management reports using BI tools (Looker Studio, Tableau, Power BI).
  • Develop financial models for revenue forecasting, scenario analysis, and profitability evaluation.
  • Work with transaction-heavy datasets related to payments, crypto flows, mining rewards, digital assets, and platform fees.
  • Monitor product and financial performance metrics ARPU, LTV, CAC, churn, contribution margin.
  • Support P&L analysis across products and regions.
  • Automate recurring financial reports and reporting pipelines.
  • Ensure data consistency between finance, product, and operational systems.
  • Prepare structured presentations and analytical summaries for CFO and executive team.

Requirements

Job Skills

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Data Analyst

posted by: spj_bot

We are looking for a Data Analyst who will work with marketing and product data, build visualizations, support decision-making with accurate insights, and contribute to the development of analytical models and automation.


Responsibilities

  • Analyze marketing and product data to identify trends, patterns, and opportunities for optimization.
  • Design and maintain dashboards and visual reports using BI tools (Looker Studio, Tableau, Power BI).
  • Participate in building analytical and forecasting models based on product, financial, and behavioral data.
  • Prepare technical documentation and maintain data dictionaries for the analytics function.
  • Support automation of analytical processes, reporting pipelines, and recurring workflows.
  • Collaborate with product, marketing, and engineering teams to ensure data accuracy and alignment.
  • Present insights to stakeholders in a structured, clear, and actionable format.

Requirements

Job Skills

View the job post & apply
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