Sr. Data Analyst Job Description

Sr. Data Analyst Job Description Template

Our company is looking for a Sr. Data Analyst to join our team.

Responsibilities:

  • Analyze data at scale, be able to interpret data to identify trends and actionable insights to help build lasting solutions;
  • Map attributes to source including identification and documentation of transformation algorithms, scoring mechanisms, as necessary;
  • Document business, data and technical specifications ensuring documentation is kept up to date and relevant;
  • Provide analyses of our email campaigns, enabling a strong feedback loop to Content Strategy teams;
  • Interact with all organizational levels, develop and manage project schedules;
  • Assess capabilities of the enterprise to understand where changes are needed to meet strategic goals;
  • Actively participate in the industry externally through internet research, white papers and/or conferences;
  • Partner with business leaders to understand key objectives to design optimized data products;
  • Drive improvements to team process around email recipient list generation and analytics;
  • Drive data innovation and transformation efforts across the enterprise;
  • Identify, analyze, and interpret trends or patterns in complex data sets;
  • Collaborate with stakeholders to clarify, prioritize and validate data requirements and business objectives;
  • Identify risks and clearly communicate them to project stakeholders;
  • Negotiate and facilitate to drive consensus on solution scope and objectives;
  • Provide a structure for evaluating solution options.

Requirements:

  • You have the technical expertise required for the role;
  • You have a passion for data and for transforming numbers into critical business insights;
  • Ability to draw conclusions from data and provide recommendations;
  • Proficient in SQL preferably in Vertica, Hive, SparkSQL, BigQuery or Presto;
  • Bachelor’s degree in Information Systems, Computer Science, Business, or related field;
  • Bachelors, Masters degree in quantitative discipline (Economics, Finance, Statistics, Engineering, Computer Science or MBA with emphasis in analytics);
  • An appreciation for Fitbit’s products;
  • Experience in managing stakeholder and distilling complex requirements into analytical solutions;
  • You don’t like leaving questions unanswered, and you love exploring/understanding data;
  • Experience in Data Modelling, Data Access, and Data Storage techniques;
  • Python or R experience for data analytics problems (scikit learn, pandas, numpy, etc);
  • Linux skills (shell scripting, Java, PHP, etc.);
  • Expertise in creating reports/dashboards using Tableau or similar BI tool;
  • Experience writing complex SQL queries and Stored Procedures;
  • Solid understanding of statistical analysis and experimentation, and capacity to drive conclusions from the analysis.