Roles & Responsibilities:
Interpret data, analyze results using statistical techniques and provide ongoing reports.
Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
Acquire data from primary or secondary data sources and maintain databases/data systems.
Identify, analyze, and interpret trends or patterns in complex data sets.
Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
Work with management to prioritize business and information needs.
Locate and define new process improvement opportunities.
Defining new data collection and analysis processes.
Formulates and leads guided, multifaceted analytic studies against large volumes of data.
Interprets and analyzes data using exploratory mathematic and statistical techniques based on the scientific method.
Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.
Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.
Leads all data experiments tasked by the Data Science Team.
Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.
Develops methodology and processes for prioritization and scheduling of projects.
Experience in using tools of "Bigdata', or "Sisense" preferred.
Requirements & Skills required:
At least 4+ years of industry experience relevant in Data Analyst/Scientist role.
Experience in data models and reporting packages.
Ability to analyse large datasets. Programming advanced computing
Ability to write comprehensive reports. Developing algorithms.
Strong team and project management skills.
Resourcefulness and problem-solving aptitude.
Excellent communication skills.