Senior Analytics Engineer

Job Title: Senior Analytics Engineer
 Duties: Who We Are:
 The teams in Twitter Services (TwS) department are on the front lines creating the best possible experience for our global users as well as excellent support experience through both direct interactions and scalable solutions.
 Twitter users generate many terabytes of data every day; The TwS analytics team is at the intersection of all this data and strives to make it actionable to all business units within TwS. Analytics team build real-time and offline solutions to make data accessible and reliable -- and then apply them to the most critical and fundamental analytical problems to guide TwS business decisions via observational analyses, trend analyses, modeling, and new measurement strategies.
 
 What You'll Do:
 We are trying to improve Twitter Service. To improve something, we need to be able to measure it. As an analytics engineer, you will enable better measurements and ensure measurement accuracy so that we know where we are doing well and where we want to improve.
 
 You'll work closely with engineering and business stakeholders, to design and build analytics platform from distributed and diverse data sets, that is a 'source of truth' for Twitter service users. 
 
 
 Write complex data flows using SQL (Vertica, Presto, BigQuery), Scala, R or Python scripts to move data and to provide intuitive analytics
 Use data visualization tools (e.g, Tableau, Zeppelin) to translate data patterns and insights into recommended areas for service improvement
 Apply qualitative and quantitative techniques to model user behavior, identify causal impact and attribution, build and benchmark metrics
 Create and enforce safeguards that limit and track internal access to TwS data
 Improve the data extraction pipeline through data mapping, validation, reconciliation, cleansing, standardization, and integration
 Actively track data quality issues, propose mitigations, and document data proxies
 Audit data sources, understand data dependencies, identify data gaps, and propose changes to extend the scope of analytics platform
 
 
 Who You Are:
 You love writing code and have an expertise in some or all of the following:
 
 Data Warehousing
 Metrics Development
 Visualization
 Statistics
 Predictive / Descriptive modeling
 
 Skills: Requirements:
 
 SQL proficiency! Experience with big data tools such as Hadoop, BigQuery, Presto, Vertica, Spark, etc.
 Strong programming skills with Scala. ETL implementation experience
 Experience using data visualization tools (Tableau, Zeppelin) for story telling
 Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units
 You have a sense of urgency, move quickly and ship things
 B.S. and/or M.S. in Computer Science or a related technical field, or equivalent experience.
 
 
 Bonus Points:
 
 You're experienced in metrics and experiment-driven development
 Statistics background
 Proficiency in building predictive / descriptive models in R or Python is desired but not required 

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