Intermediate/Senior Data Analyst

Intermediate/Senior Data Analyst

Paper is looking for an experienced Data Analyst to join our growing R&D and analytics team. This position will be responsible for conducting full lifecycle analysis for cross functional teams. This will include requirements elicitation, domain modeling, experiment design, data reporting, and long-term reporting maintenance. The data analyst will also be expected to participate in maintaining and extending existing data transformation pipelines as well as monitoring performance and quality control plans to identify improvement opportunities. The ideal candidate is an experienced data enthusiast who enjoys acting as an enabler and gatekeeper for the company’s data so stakeholders can understand and use it to make strategic business decisions. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of uncovering new insights from data to support the company's mission and growth.

Responsibilities

  • Interpret data, analyze results using statistical techniques and provide ongoing reports, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
  • Acquire data from primary or secondary data sources.
  • Participate in fulfilling data requests from multiple teams.
  • Design and carry-out experiments to test business assumptions or assess the impact of interventions.
  • Prepare reports for executive leadership that effectively communicate trends, patterns, and predictions using relevant data and suggest data-driven interventions.
  • Collaborate with data engineers, data scientists, and organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance.
  • Create appropriate documentation that allows stakeholders to understand the steps of the data analysis process and duplicate or replicate the analysis if necessary.
  • Work with management to prioritize business and information needs.

Requirements

  • Technical expertise regarding data models, database design development, data mining and segmentation techniques.
  • Knowledge of statistics and experience using statistical packages for analyzing datasets.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Adept at queries, report writing and presenting findings.
  • Strong project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Programming experience (Python, R, Mathlab, etc).
  • We are looking for a candidate who has attained a degree in Mathematics, Physics, Computer Science, Statistics, Informatics, Information Systems or another quantitative field. Having prior experience using the following software/tools is a plus:
    • Experience with databases (SQL),
    • Experience with ELT frameworks (e.g. dbt)
    • Experience in experiment design
    • Experience with reporting packages (Tableau etc)

Position can be located in any geography in the US or Canada.

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