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Sr. Data Analyst - Growth & Adoption
  • Python
  • SQL
  • Java
  • SAS
  • Tableau
  • Excel
  • Matlab
  • Database
  • Data Mining
  • Data Visualization
  • ETL
  • Modeling
  • Hadoop
  • Haskell
  • Scala
  • SPSS
  • Looker
  • Power BI
  • Perl
  • Conda
Risk Management Solutions (RMS)
Newark, CA
152 days ago

About Us

RMS' App Experience group is revolutionizing a $1 trillion global industry through a highly design-centric approach to problem-solving and app development. Our software solutions help to better understand risk events like catastrophes, terrorism, and cyber threats to create a more resilient and sustainable global society. What will you help to create?

The Role

We are looking for an experienced Data Analyst to join our Software Applications team. Using the latest analytics technologies and practices, you will identify new business opportunities across the RMS suite of applications and will help enhance the customer experience. Learnings you mine and generate using various data platforms will fuel RMS product roadmap to bring to market software solutions that delight and empower customers with making informed decisions of global impact. Visual reports you create and present to the RMS executives committee while transforming data into readable, results-oriented insights will guide RMS strategy for innovation and growth. This is a high-impact, high-visibility role that entails partnership with Product Management, Product Design, Engineering, Customer Success, Marketing, and Sales teams to create state-of-the-art commercial and consumer applications used by global customers every day. If you’re ready to dive deep into customer engagement needs and trends, and if you want huge challenges of global impact, we would love to talk to you.

In this role, you will:

  • Identify trends and opportunities for growth through analysis of complex data sets
  • Create, implement, and operationalize leading-edge analytic systems, transforming complex, large-scale business challenges into simple and efficient frameworks
  • Extract insights and form data-driven recommendations to guide innovation across multiple diverse products with trillion-dollar industry impact
  • Analyze and rapidly visualize executive-level insights to answer key questions from stakeholders and present strategic, business and technical impact of your directions
  • Evaluate RMS application and platform services for accuracy, efficiency, and operational excellence, while developing protocols for collecting, processing, and cleansing data
  • Develop and maintain databases from primary and secondary data sources, and build scripts to make our data evaluation process more flexible, scalable, open
  • Directly collaborate with Product Management, Design, Engineering, Marketing, Sales and Customer Success teams to extract business-critical data insights and stir execution across all channels
  • Create visually-compelling best-practice reports based on data mining, analysis, and visualization

Minimum Qualifications:

  • Bachelors degree in a quantitative field, such as Mathematics, Statistics, Economics, Information Management, Computer Science with Modeling/Data Science, or equivalent professional experience
  • 5+ years of professional quantitative analysis experience with data warehousing, mining, processing, evaluating and visualizing data for customer insights, business, and market analysis
  • Hands-on experience working with metrics, reports, dashboards in Mixpanel and Google Analytics
  • 3+ years of experience working with statistical packages (SAS, SPSS, Stata, MATLAB, etc.)
  • 2+ years of experience developing data visualizations and actionable reporting dashboards using BI platforms such as Tableau, Looker, Qlik, Microsoft Power BI, Domo, or similar
  • 2+ years of development experience, scripting with SQL on large data sets within distributed computing platforms such as Hive/Hadoop/Redshift or similar and designing ETL flows
  • Excellent communication skills - communicate clearly and distinctly, both verbally and in writing, to peers and stakeholders

Preferred Qualifications:

  • Master’s degree in a quantitative field
  • Demonstrable track record of scaling world-class products
  • Experience in SaaS and/or analytics platforms
  • Experience with large data sets and distributed computing (Hive/Hadoop)
  • Experience in functional or scripting language (R, JavaScript, PHP, Perl, Python, XML) or Haskell
  • Fortitude to execute across multiple, concurrent, high-impact initiatives in a fast-paced, technology-oriented environment
  • Strong project management and organizational skills
  • Proven success in a collaborative, team-oriented environment
  • Experience working with complex B2B industries, such as finance and/or insurance is a plus

RMS is an Equal Opportunity-Affirmative Action Employer-Minority/Female/Disability/Veteran/Gender Identity/Sexual Orientation

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