SATS - DATA ENGINEER, DIGITAL CUSTOMER EXPERIENCE & ANALYTICS, Manager

Contact email: careerrise@bcg.com
Published: 2 days ago
Startdate: 25 January 2023 - 25 January 2023

KEY RESPONSIBILITIES 

Business Analytics 

Build data pipelines and functions for visualization and business analytics supporting the  business and respective product owners 

Deliver accurate regular and ad-hoc performance tracking and analysis to drive traffic,  transactions and processes 

Ad-hoc analysis based on strategic direction of the business and deep dive into specific area /  trend 

Make data management recommendations based on data and industrial practices

Assist in business case and pricing initiatives as required 

Data Engineering and Analytics 

Design, develop and implement datasets, models, as well as support to interpret and present  statistical outcomes to support the organization’s operations and execution of key business  strategies 

Design and conceptualize solution that address the organization’s challenges through use of  data engineering and analytics and process large amount of data by applying algorithms Collaborate with stakeholders to build data management and analytics capabilities, conduct  feasibility studies, 

Knowledge of ETL and OLAP to support and contribute to database implementation and  systems, devising strategies to promote continuous improvement 

Devise methods and strategies to obtain and extract data to derive business insights KEY REQUIREMENTS 

Degree holder in Information Systems, Business / Data Analytics, Information Technology or  Computer Science with at least 8 years of experience in data engineering 

Working knowledge of data mining principles: mapping, collecting data from multiple data  systems on premises and cloud-based data sources 

Understanding of and experience using analytical concepts and statistical techniques:  hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and  developing actionable recommendations for business units 

In-depth understanding of and experience in designing structured and unstructured, SQL and  NoSQL data repositories 

Experience working with, creating and maintaining databases and repositories using state-of the-art data backup, rollback and version control solutions 

Proficient with data engineering methods and technologies / tools such as ETL, R and/or  Python. Azure Cloud proficiency will be an advantage 

Highly motivated, structured and methodical with high degree of initiative 

Strong problem solving, quantitative and analytical abilities 

Excellent written and oral communication skills 

Able to work independently or cross functionally