Senior Data Analyst

Responsibilities

Performing general analytics, statistical modeling on data sets in various areas of the business. Activities include data aggregation and insight development, analysis of data and presentation. Examines and identifies data patterns and trends to help answer business questions and improve decision making.

A Senior Professional applies advanced knowledge of job area typically obtained through education and work experience. Managing projects / processes, working independently with limited supervision.

Problems faced are difficult and sometimes complex.

Coaching and reviewing the work of lower level professionals.

Qualifications

Bachelor Degree in engineering , Masters Degree in Statistics: Business or Technical with exposure to statistics as a subject

3-5 years of related analytics, consulting, project management, or equivalent experience preferred

• Hands on experience on working on moderate to high volume data using statistical tools
• Ability to derive basic statistics like mean, median, test of hypothesis, etc.
• Business intelligence applications and/or cloud services (e.g., Alteryx, PowerBI, Qlik, Tableau).
• Data querying, transformation, and processing languages such as SQL, Python, Power BI DAX/M Query, or SAS.
• Operational, enterprise, and analytical relational/non-relational data stores such as PaaS cloud technologies, SQL Server, Oracle, and DB2.
• Knowledge of cloud platforms and surrounding ecosystems (AWS, Azure).