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Lead Data Analyst

San Francisco, Washington DC

Lead Data Analyst

About Us

Protagonist is the Narrative Analytics company. From the vast amount of data available in the digital universe, we mine the perceptions, opinions, and stories that constitute the narratives people hold in their minds. Our products empower organizations to understand the narratives that matter, what’s driving those narratives, and how to take action to succeed within their Narrative Landscape. Protagonist uses natural language processing, machine learning, and human expertise to identify, measure, and shape narratives. Today, Narrative Analytics is used by dozens of the world’s leading corporations, business leaders, and foundations.
About You
The Lead Data Analyst has a passion for unleashing the power of data to drive strategic decisions. You will support the continued development of our Narrative Analytics offering, finding and isolating the online media conversations that matter and curating powerful datasets that will drive success for our customers. You are deeply data-savvy, have outstanding statistics and analytic skills, are highly familiar with the latest machine learning & NLP techniques and tools, and are creative and enthusiastic about using technology, data, and the power of narratives to solve complex problems. You have a strong backing in data science concepts and text analytics. You are comfortable with ambiguity and hard problems and you thrive in fast-paced start-up environments, solving cutting-edge data challenges.
Primary Responsibilities
The Lead Data Analyst takes an active role in all of our customer-facing projects, helping to solve data and analytic problems. The Lead Data Analyst will be expected to collaborate across teams on both client deliverables and internal process priorities. Specific responsibilities include:
  • Work with a range of media content aggregators and deploy a variety of scrapers, scripts, and other data mining tools to develop narrative-rich data sets to address customer needs
  • Employ state-of-the-art NLP machine learning methods to analyze large unstructured text-based datasets, extract topics, and build classification models
  • Use querying languages to clean and manipulate datasets 
  • Conduct statistical modeling and predictive analysis to identify trends and insights
  • Collaborate with the case teams to visualize data insights in interactive dashboards that answer key client questions
  • Support our analytics approach to data and collaborate closely with Client Solutions teammates to deliver Narrative Analytics to our customers
Requirements
  • Authorized to work in the US; ability to obtain a US Government security clearance if needed
  • Degree in Computer Science, Statistics, Mathematics, Machine Learning, Econometrics, Operations Research, or other quantitative field or quantitative bent
  • BS Degree with 1+ years of relevant experience with a proven track record of leveraging analytics and large amount of data to drive significant business impact, OR:
  • Master’s Degree with strong, practical data analytics project experience or relevant internships
  • Proficiency with R, STATA, and other statistical programming languages
  • Strong academic grounding in a range of data science concepts, particularly natural language processing, content similarity analysis, social network analysis, and sentiment analysis
  • Experience in programming languages like Python or SQL
  • Strong experience with Excel in particular advanced formula creation, data cleaning, and pivot tables
  • Hands-on experience in statistical analysis, machine learning, factor/cluster/regression analysis, and/or classification algorithms
  • Hands-on experience with predictive modeling techniques such as multivariate regression, logistic regression, time series, neural network, support vector machine, and random forest
  • Hands-on experience with data visualization platforms (such as Tableau, Looker, QuickSight, or Power BI)
  • Understanding of how to apply data analysis to communications, marketing, and business strategy problems
  • Excellent interpersonal and presentation skills; able to communicate complex data problems with clarity  
  • Able to work independently as well as part of a cross-functional team
  • Ability to meet tight deadlines, under pressure, with outstanding attention to detail
  • Love working in a fast-paced, startup environment full of complexity, ambiguity and change

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