Senior Data Analyst

As a Digital transformation and innovation partner, Omnia have spent the best part of two decades within the middle east, empowering companies and brands to realize their potential through the implementation of smart and disruptive technology. Omnia offers an agile mentality, bringing solutions to both established multinational business as well as startups, offering them support across Digital Service offerings, Consulting, and bespoke product creation in the efforts to delivery tangible results.

About the Role

We are looking for a Senior Data Analyst with Sales Monetization/ Commercialization expertise.

Responsibilities

• Conduct detailed data analysis on data used across business units to evaluate business processes and improve on/create new feature.
• Respond to data and product related inquiries in real-time to support business and technical teams.
• Perform various data analytics in SQL and MS Excel using statistical models or industry accepted tools.
• Provide relational database expertise to construct and execute SQL queries to be used in data analysis activities.
• Provide data solutions, tools, and capabilities to enable self-service frameworks for data consumers.
• Provide expertise and translate the business needs to design; and develop tools, techniques, and metrics, and dashboards for insights and data visualization.
• Responsible for developing and executing tools to monitor and report on data quality.
• Responsible for establishing appreciation and adherence to the principles of data quality management, including metadata, lineage, and business definitions.

Qualifications

• Strong mathematical skills to help collect, measure, organize and analyze data.
• Knowledge of programming languages like SQL, Oracle, R, MATLAB, and Python.
• Experience in handling reporting packages like Business Objects, programming (Javascript, XML, or ETL frameworks), databases.
• Proficiency in statistics and statistical packages like Excel, SPSS, SAS to be used for data set analyzing.
• Adept at using data processing platforms like Hadoop and Apache Spark.
• Knowledge of data visualization software like Tableau, Qlik.
• Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions.
• Problem-solving skills.

Reach out to [email protected]