Data-Driven Decision Maker

6 days ago

Hyderabad Secunderabad Telangana, India beBeeAnalytics Full time ₹ 1,04,000 - ₹ 1,30,878
Senior Analytics Engineer Job Description

This is a senior-level role that requires advanced analytics skills and experience with data engineering, data science, or related fields. The ideal candidate will have a strong background in developing scalable data solutions, designing data models, and working with big-data technologies.

The successful candidate will be responsible for leading efforts to develop calable data solutions that enhance feature-level insights, user engagement measurement, and decision-making for the Product Analytics team. This includes building and optimizing data pipelines, semantic layers, and dashboards to deliver actionable insights on how users interact with in-app features, content discovery, and engagement-driving elements.

  • Develop and implement scalable data models that support flexible querying, feature attribution, and behavioral analytics for self-serve and advanced analytics.
  • Partner with Product Analytics stakeholders to understand business needs and develop robust analytical solutions, focusing on in-app engagement, navigation, and personalization signals.
  • Leverage machine learning & statistical modeling techniques to enhance feature performance tracking, user segmentation, and predictive analytics.
  • Develop frameworks that multiply the productivity of the team and are intuitive for other data teams to leverage.

Required Skills and Qualifications:

  • 5+ years of experience in analytics engineering, data science, or data engineering, preferably in streaming, digital products, or consumer analytics.
  • Advanced SQL skills with expertise in writing clean, efficient queries for large-scale analytics.
  • Experience in designing scalable data models (e.g., feature attribution, user segmentation, behavioral cohorts).
  • Proficiency in Python for data manipulation, automation, and statistical modeling.
  • Experience with machine learning techniques, such as clustering, regressions, decision trees, and classification models to enhance feature-level insights.
  • Experience with big-data technologies, such as Spark, Hive, Kafka, Airflow, or Snowflake.

Benefits:

  • We offer a competitive salary and benefits package.
  • Ongoing training and development opportunities.
  • A collaborative and dynamic work environment.

Others:

Please note that this job description is not an exhaustive list of responsibilities and requirements. We reserve the right to modify this job description at any time.

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