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.