Description

Job Description 
● Degree in statistics, engineering or a related discipline and a passion or expertise in data and statistical analysis.
● Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing
conclusions, and developing actionable recommendations for business units.
● Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
● Experience working in areas such as data warehousing, databases, data visualization, statistics, data analysis, A/B Experiments, reporting, basic machine learning and
modeling.
● Experience and knowledge of statistical modeling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc.
● Comfortable working with massive unstructured data sets.
● Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries.
● Expertise in deriving insights from large amounts of data is mandatory
● Expertise in customer segmentation, user profiling, and churn analysis is required.
● Ability to work with large data sets and to interpret them statistically is expected.
● Experience working with and creating databases and dashboards using all relevant data to inform decisions.
● Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes.
● Strong problem solving, quantitative and analytical abilities.
● A least 2 years of experience in monitoring, managing, manipulating and drawing insights from data.
○ Strong programming skills(Proficiency) with one or more: Python and R, SQL
○ Experience with big data tools: Bigquery, Pubsub, MapReduce
○ Experience with data visualization tools: Tableau, DataStudio, d3.js, ggplot.
Optional
● Experience using machine learning algorithms, data analytics strong algorithmic thinking and good programming skills will be useful
● Experience with Google technologies like Protocol Buffers, Bigtable, Spanner, and Bazel is a huge plus.

Key Skills
Education

Bachelor's degree in Computer Science