Work effectively both independently and as a member of a cross-functional team
Be responsible for scaling our analytics capability across all internal disciplines and guide our strategic direction in regards to analytics
Organize and analyze large, diverse data sets across multiple platforms
Identify key insights and leverage them to inform and influence product strategy
Technical Interactions with the vendors or partners in a technical capacity for scope/ approach & deliverable.
Develops proof of concept to prove or disprove the validity of the concept
Working with all parts of the business to identify analytical requirements and formalize an approach for reliable, relevant, accurate, efficient reporting on those requirements
Designing and implementing advanced statistical testing for customized problem solving
Deliver concise verbal and written explanations of analyses to senior management that elevate findings into strategic recommendations.

Some Specific Requirements

Excellent analytics, logical, problem-solving and numerical skills
Candidates with 1-4 years of relevant experience in Data Analytics / Business Analytics
Prior experience in data analytic tools & delivering presentations
Thorough querying skills on SQL or No-SQL databases
Knowledge of python, R for data analysis
Experience with ETL processes and Warehousing is good to have
Adept at using data processing platforms like Google Big Query, Hadoop and Apache Spark
Knowledge of at least one data analysis platform: Data Studio/ Metabase / Tableau / Looker / SQL
Ability to put forth complex ideas easily via oral or written communication
Expertise in Data Mining, Statistical Analysis, Regression, Segmentation, Time Series Forecasting, and modeling.

Data Analyst / Engineer

Job Description