Tech Lead TECHM-JOB-24564

Keylent, Inc.

$120K — $150K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of hands-on experience in quantitative analysis
  • Extensive background in developing complex data analysis
  • Experience in articulating business questions and applying quantitative techniques
  • Solid foundation in statistical modeling and machine learning algorithms
  • Proficient in BI queries, dashboarding, and data visualizations
  • Advanced SQL competence with large data sets
  • Familiar with R and/or Python for data analysis and manipulation
  • Experience with ETL processes using complex DTS packages

Responsibilities

  • Lead data analysis projects from concept to implementation
  • Articulate business questions and deploy quantitative methods for solutions
  • Develop and optimize BI architectures and dashboards
  • Perform statistical modeling and machine learning tasks
  • Conduct A/B tests and experimental designs to validate findings
  • Organize and clean unstructured data for actionable insights
  • Run independent research and analyses utilizing various data sources

Benefits

  • Collaborative work environment
  • Opportunities for professional development
  • Access to advanced tools and technologies
  • Flexible work arrangements
Full Job Description
Tech Lead TECHM-JOB-24564
Location: San Jose CA
Skill: GCP Big Query

¿ 8+ years of hands on experience in quantitative analysis. ¿ Extensive experience developing complex data analysis. ¿ Experience articulating business questions and using quantitative techniques to arrive at a solution using available data. ¿ Solid foundation of statistical modeling and machine learning algorithms (classification, regression, clustering, etc) and experimental design ( A/B testing, etc.). ¿ Must have experience in BI Architecture. ¿ Proficient in BI queries, dashboarding, reports & visualizations. ¿ Advanced knowledge in SQL handling large amounts of data. ¿ Advanced knowledge in tabular models. ¿ Hands on experience in R and/or Python. ¿ Experience with complex DTS packages for ETL. ¿ Proficient in developing complex stored procedures, triggers, tables, user defined functions, views, and indexes. ¿ Experience performance tuning, handling Indexes, and query optimization. ¿ Knowledge of Relational Database Management Systems and Data Warehouse concepts, OLTP & OLAP. ¿ Clean up and organize unstructured data from different sources ¿ Client correlations and insights from a unstructured data ¿ Independently run researches and analyses on different data sources ¿ Use tools and framework to process and visualize data

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