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Olive Consulting LTD

Olive Consulting LTD is hiring: Data Analyst in Sunnyvale

Olive Consulting LTD, Sunnyvale, CA, United States, 94087

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Job Summary

We are seeking a Data Analyst with expertise in data tracking (event tracking/digital analytics) and BI tools to drive data-informed strategies for our clients. The ideal candidate will have 5+ years of experience in data analysis, a strong technical foundation, and a passion for transforming raw data into impactful business insights.

Key Responsibilities

  • Design, implement, and optimize event tracking (data instrumentation) for web/mobile applications to capture critical user behaviors and business metrics.
  • Collaborate with product, engineering, and marketing teams to define KPIs, tracking requirements, and data collection strategies.
  • Develop and maintain interactive dashboards and reports (using BI tools like Tableau, Power BI, or Looker) to monitor performance and uncover trends.
  • Analyze A/B tests, funnel conversions, and user journeys to identify opportunities for growth and optimization.
  • Ensure data accuracy and consistency by validating tracking implementations and troubleshooting discrepancies.
  • Translate complex data findings into clear, actionable recommendations for stakeholders.

Qualifications

  • With 5+ years of experience in data analysis or a similar role.
  • Strong expertise in event tracking/data instrumentation (e.g., Google Analytics, Amplitude, Mixpanel, or custom SDKs).
  • Proficiency in BI tools (Tableau, Power BI, Looker, etc.) and SQL for data querying and manipulation.
  • Experience with Python/R for advanced analysis (e.g., regression, clustering) is a plus.
  • Familiarity with data pipelines (ETL, Airflow) and cloud platforms (BigQuery, Snowflake, Redshift).
  • Ability to communicate insights effectively to both technical and non-technical audiences.
  • Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.

Nice-to-Have

  • Knowledge of statistical experimentation (A/B testing, causal inference).
  • Experience in gaming, ad-tech, or digital media analytics.
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