Data Analyst II - Twitter Service

Job Description

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 meaningful 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.

We are trying to improve Twitter Service. To improve something, we need to be able to measure it. 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 partner with product, technology, and ops leaders to turn business problems into data problems and demonstrate creativity by using existing data to solve those problems. You have

• Collaborate w/business partners to find opportunities, understand objectives, and rationalize efforts to support strategic business objectives w/ both short-term and long-term deliveries in an environment with high SLA expectations.

• Advanced - SQL , Python (descriptive / predictive models) and Tableau viz. Solid understanding of Hadoop, BigQuery, Presto, Vertica, Excel
• Own the end to end data science process, from initiation to deployment, and through ongoing communication and collaboration, sharing of results to partners and leadership.
• Drive personalization, real-time decision-making, causal inference, and predictive analytics capabilities through the application of Machine Learning, Deep Learning, NLP, and Simulation in an agile development framework.
• Conduct quantitative analysis of experimental, and textual data to generate insights and drive decision making (ANOVA, Regression, Chi-Sq, AB, pre-post etc)
• [Preferred] Ability to write
  Scalding job for data extraction and aggregation. Solid understanding of Data warehousing principles
• Write well detailed code that can be shared and used across teams, and can scale to be used in existing products

You will see a direct link between your work, TwS growth, and user happiness.

• Ability to
  communicate findings clearly to both technical and non-technical audiences and to optimal collaborate within multi-functional teams
• We follow agile framework and processes. Hence, multi-functional collaboration, communication skills and a focus on delivering a phenomenal user experience are a must
• You should be comfortable spearheading work plans, timelines and achievements
• You have a sense of urgency,
  move quickly and ship things

• You're experienced in metrics and experiential development
• Experience in statistical methodology (multivariate, time-series, experimental design, data mining, etc.)
• Industry experience (retail or service is a plus but not a prerequisite)

Qualifications

• Ability to
  communicate findings clearly to both technical and non-technical audiences and to optimal collaborate within multi-functional teams
• We follow agile framework and processes. Hence, multi-functional collaboration, communication skills and a focus on delivering a phenomenal user experience are a must
• You should be comfortable spearheading work plans, timelines and achievements
• You have a sense of urgency,
  move quickly and ship things

• You're experienced in metrics and experiential development
• Experience in statistical methodology (multivariate, time-series, experimental design, data mining, etc.)
• Industry experience (retail or service is a plus but not a prerequisite)

Additional Information

All your information will be kept confidential according to EEO guidelines.