Job Information
Target Data Analyst in Bangalore, India
About the role:
Our Data Analysts are expected to explore data, technologies, and the application of mathematical techniques to enable business insights. Data analysts accomplish this through a wide variety of skills including data wrangling, reporting, dashboarding, visualization, statistical analysis, modeling, analytical engineering and the presentation of recommendations and insight. Analysts will work within an agile environment, which requires active participation in ceremonies to accomplish the team’s goals. They also develop domain knowledge as they learn about their business area and support applying key data management principles like metadata management, data profiling, and documenting their data lineage.
Actively exploring data for specific use cases
Expertise in business domain and processes
Creating measurable insights from the data to be shared
Documenting calculations, code, and adhering to data management principles
Validating and testing data assets of others in the form of peer review
Exploring statistical analysis that could be applied to the data
Performing descriptive statistics including mean, variance, median, correlation
Applies insights and testing in partnership with business users
Active participant in team meetings
Ability to work independently to turn business problems into data solutions
Willing and eager to learn business domain and analytical techniques to elevate team performance
Support data infrastructure activities such as connecting, standardizing and automating various data sources
Support team operations such as backlog organization, documentation, education & communication material of data products
About You:
BA/BS or equivalent experience
1+ years' work experience in data analysis or masters level education in business analytics, data science, etc.
Demonstrated leader in knowledge and application of data, reporting, and analytics
Proficient with various programming languages- SQL, R, Python
Proficient with relational and non-relational databases
Stays current with new and evolving technologies via formal training and self-directed education to continue to raise individual and team performance
Math and/or Statistics:
Mathematical logic (AND, OR NOT)
Descriptive and Inferential Statistics
Calculus (weighted averages, rates of change, single variable)
Testing and Research Design:
Apply the scientific method and experimental design
Generate insight from observational data
Target
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