Data Analyst

March 29

People Data Labs

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The single source of truth for B2B data

people data • data science • data • DaaS • B2B Data

51 - 200

Description

• Analyzing data using statistical techniques and tools to identify anomalous data, clean data, and derive meaningful insights and trends. • Ensuring data integrity, accuracy, and completeness throughout the analysis process. • Generate, maintain, and update dashboard reports using our business intelligence tool, highlighting key findings and trends. • Develop and maintain databases, data systems, and data analytics pipelines within database management systems. • Work with stakeholders in Engineering, Product, and Revenue to assist with data-related technical issues and support their data infrastructure and analytics needs. • Ensure the integrity and consistency of database schemas, including managing updates, version control, and documenting schema changes to support data analysis and reporting requirements. • Responsible for assistance and further development of our quality assurance process.

Requirements

• 3-5+ years industry experience with clear examples of strategic and analytical technical problem solving and implementation • Strong software development and analytics fundamentals • Expertise in with SQL & Python • Experience with Apache Spark or PySpark • Experience with data cleaning and data processing (e.g., cleaning, transformation) using SQL and Python. • Knowledge of modern data design and storage patterns (e.g., incremental updating, partitioning and segmentation, rebuilds and backfills) • Experience working in Databricks (including delta live tables, data lakehouse patterns, etc.) • Experience with cloud computing services (AWS (preferred), GCP, Azure or similar) • Experience with data warehousing (e.g., Databricks, Snowflake, Redshift, BigQuery, or similar) • Understanding of modern data storage formats and tools (e.g., parquet, ORC, Avro, Delta Lake) • Must thrive in a fast paced environment and be able to work independently • Can work effectively remotely (able to be proactive about managing blockers, proactive on reaching out and asking questions, and participating in team activities) • Strong written communication skills on Slack/Chat and in documents • You are experienced in writing data design docs (pipeline design, dataflow, schema design) • You can scope and breakdown projects, communicate and collaborate progress and blockers effectively with your manager, team, and stakeholders • Experience collaborating with Product and Engineering teams

Benefits

• Stock • Competitive Salaries • Unlimited paid time off • Medical, dental, & vision insurance • Health, fitness, and office stipends • The permanent ability to work wherever and however you want