Sr. Data Analyst

Job Description

Sr. Data Analyst who can work in cross-functional teams with data at all stages of the analysis lifecycle to derive actionable insight.


  • Translates mission needs into an end-to-end analytical approach to achieve results.
  • Performs the pre-analytics areas of data collection and understanding, data cleansing and integration, and data storage and retrieval.
  • Determines the appropriate analytics based on the data and the desired outcomes, using techniques including feature detection, statistics, data mining, predictive modelling, machine learning, natural language processing, and business intelligence.
  • Lead data analysis projects, using data tools and statistical methods to validate and interpret data collected. Interprets the validity of results and communicates the meaning of those results.
  • Has familiarity with data wrangling, analytics, and visualization software and programming languages, including analytics methods for big data.
  • Provides technical solutions to a wide range of difficult problems where analysis of data requires evaluation of identifiable factors.
  • Solutions are imaginative, thorough, practicable and consistent with organization objectives. Independently determines and develops approach to solutions.
  • Represents organization in providing solutions to difficult technical issues associated with specific projects.
  • Drive customer-focused solutions, development and business strategies by integrating multiple sources of data and sharing findings through written reports and effective visualizations.
  • Provide insight to the business through analysis of revenue and sales conversions to drive greater efficiency and effectiveness of our sales operations.
  • Lead key operational initiatives to identify areas of improvement, increase profitability, uncover new industry opportunities and creative ways to serve customers.
  • Develop and manage new tools for measuring and understanding the health of our business operations and the integrity of our data.
  • Work directly with multiple managers to conceptualize and deliver new marketing and sales initiatives. Champion data quality and train staff across departments on using data systems to accurately capture data.


  • 7 to 10 years of experience in similar field.
  • Expertise on Tableau is must. Strong exposure to data engineering (Hadoop, Spark etc.) would be preferred advantage.