Senior Data Analyst - SQL/Python

Job Purpose

Design and implement processes and solutions associated with a wide variety of data sets used for data/text mining, analysis to support informed business decisions.
Gain insight into key business and deliverables by examining structured and unstructured data from multiple disparate sources.
Effectively use current and emerging technologies to evaluate trends and develop actionable insights and recommendations to management, via the information available for analysis.
Learn to use data, statistical and quantitative analysis, to drive decision making.

Accountabilities

Import, clean, transform, validate data with the purpose of understanding or making conclusions from the data for decision making.
Able to transform large volume data into information and information into insight.
Answer business questions by using appropriate statistical techniques on available data to improve key success metrics related to Customer
Experience touchpoints, and relevant attributes.
Produce a variety of reports, graphs, summaries and presentations that convey analytic results and align with business needs.
Provides consultation and recommend and implement process improvements for timeliness, relevance, and presentation.
Presenting senior executives with strong storytelling capability to drive insights out of data.
Presents/frames business scenarios in ways that are meaningful and depicts their findings in easy-to-understand manner.

Qualifications & Specifications

Bachelor's degree in computer science, IT or a quantitative discipline such as mathematics, engineering, Operations research, Economics & Statistics.
Master's degree in relevant specification will be first preference.
Experience of at least 6 - 8 years of analytics, informatics and statistics.
Experience in product marketing analytics, impact analysis is a plus.

Must have - SQL, Python, and Data Visualization experience (pref. Power BI), Databricks

Good to have - Azure Analysis services, NLP, ML