Ilyon Dynamics Ltd
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Were looking for a curious and technically skilled
Data Analyst
whos fluent in SQL, comfortable with BI tools, and brings an extra edge with
data science knowledge . In this role, youll generate business-critical insights and contribute to light modeling projects such as segmentation, or LTV forecasting. This is a perfect role for someone who loves diving into data, explaining what matters, and occasionally applying statistical techniques when deeper insights are needed. Business Analytics & Insight Analyze user behavior, funnels, monetization, and retention across games or apps. Monitor, analyze, and visualize campaign performance:
ROAS, CPI, LTV, retention. Evaluate creative tests and channel efficiency across paid UA platforms (Meta, Google, TikTok, etc.) and support UA and marketing teams with
daily dashboards , budget pacing, and insights. Work closely with finance and monetization teams to track revenue KPIs. Respond to business questions with ad hoc SQL analyses. Support forecasting models for LTV, ROI, and spend planning. Collaborate on cohort modeling, funnel analysis, and time-series reporting. Investigate data anomalies, test hypotheses, and answer complex business questions. Apply statistical techniques such as regression, cohort analysis, or hypothesis testing. Write advanced
SQL
to query large datasets from
BigQuery
and
Snowflake. Work closely with BI/data engineering to structure data models for scalable analysis. Build, own, and maintain reports in data visualization tools. Create automated data pipelines or queries for recurring business reporting. Ensure clear, accurate, and accessible data for marketing and finance stakeholders. Requirements
2+ years of experience in data analytics or a related role. Proficiency in
SQL
for data querying and exploration. Strong analytical skills and business intuition. Experience with data visualization tools (e.g., Power BI ,
Looker ,
Tableau ). Familiarity with
Python
or other scripting languages for ad hoc analysis. Excellent communication skills able to explain complex data in simple terms. Familiarity with tools like Appsflyer, Firebase, Google Ads, Meta Ads- an advantage. Experience working with marketing, creative, or monetization teams- an advantage. Exposure to financial reporting, revenue forecasting, or cohort-based analysis- an advantage. Understanding of DAX, or light Python scripting for automation- an advantage.
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Data Analyst
whos fluent in SQL, comfortable with BI tools, and brings an extra edge with
data science knowledge . In this role, youll generate business-critical insights and contribute to light modeling projects such as segmentation, or LTV forecasting. This is a perfect role for someone who loves diving into data, explaining what matters, and occasionally applying statistical techniques when deeper insights are needed. Business Analytics & Insight Analyze user behavior, funnels, monetization, and retention across games or apps. Monitor, analyze, and visualize campaign performance:
ROAS, CPI, LTV, retention. Evaluate creative tests and channel efficiency across paid UA platforms (Meta, Google, TikTok, etc.) and support UA and marketing teams with
daily dashboards , budget pacing, and insights. Work closely with finance and monetization teams to track revenue KPIs. Respond to business questions with ad hoc SQL analyses. Support forecasting models for LTV, ROI, and spend planning. Collaborate on cohort modeling, funnel analysis, and time-series reporting. Investigate data anomalies, test hypotheses, and answer complex business questions. Apply statistical techniques such as regression, cohort analysis, or hypothesis testing. Write advanced
SQL
to query large datasets from
BigQuery
and
Snowflake. Work closely with BI/data engineering to structure data models for scalable analysis. Build, own, and maintain reports in data visualization tools. Create automated data pipelines or queries for recurring business reporting. Ensure clear, accurate, and accessible data for marketing and finance stakeholders. Requirements
2+ years of experience in data analytics or a related role. Proficiency in
SQL
for data querying and exploration. Strong analytical skills and business intuition. Experience with data visualization tools (e.g., Power BI ,
Looker ,
Tableau ). Familiarity with
Python
or other scripting languages for ad hoc analysis. Excellent communication skills able to explain complex data in simple terms. Familiarity with tools like Appsflyer, Firebase, Google Ads, Meta Ads- an advantage. Experience working with marketing, creative, or monetization teams- an advantage. Exposure to financial reporting, revenue forecasting, or cohort-based analysis- an advantage. Understanding of DAX, or light Python scripting for automation- an advantage.
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