LI-Hybrid
Essential Functions:
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Coordinate with different functional teams to implement models and monitor outcomes.
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• Develop processes and tools to monitor and analyze model performance and data accuracy.
• This position will also help develop and deliver training modules to facilitate the roll-out of the new or redesigned processes & continuous improvements initiative
• Training and Development - train junior business analyst. Share best practices and develop career progression for fellow Analyst.
Secondary Functions:
• Provide business information, analysis together with supporting data.
• Facilitate and help teams to create process maps, evaluate process "as is" state and Identify opportunities to increase the efficiency, effectiveness and business impact of assigned areas.
• Participate & facilitate teams to redesign assigned business processes including new process maps, procedures, develop and deliver associated training modules, communicate process changes.
• Lead automation of data flows & analysis.
• Share identified best practices across all relevant functions
• Communicate effectively with influence, and gain support from all levels of the organization on large scale business process changes.
• Participate on process audits and help institute process metrics to assess current process health of complex business processes.
Relationship management:
• Strong relationship needed with business, developers and system owners, to be able to navigate data form different platforms to provide optimum results
Qualifications
Education :
• Candidates should hold a technical engineering or computer science degree or statistics or business math. Possessing or pursuing MBA or other relevant professional certification is a plus.
Working E xperience:
§ Candidates should possess 3 years analytics experience and be well familiarized with the project lifecycle concepts. Must have extensive relevant experience in building systemic solutions.
§ Must have extensive programming experience in SQL, PL/SQL, Tableau, Python, R-programming, Visual Basic, and other computer languages.
Business Understanding :
• Is responsible for creating AI/ML (Artificial Intelligence / Machine Learning) models and solving complex problems.
Others (e.g. language skills, technical skills) :
KNOWLEDGE AND SKILLS 1-REQUIRED:
§ Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
§ Tableau Expert
§ Experience working with and creating data architectures (good to have).
§ Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
§ Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
§ Excellent written and verbal communication skills for coordinating across teams.
§ A drive to learn and master new technologies and techniques.
§ Demonstrates leadership skills - as shown in the ability to influence others and supervise others directly or indirectly through Project work.
§ Exhibits appropriate professional/ethical standards.
§ Flexible, with the ability to manage more than one project at a time and agile enough to be deployed to other teams periodically.
§ Strong competencies in algorithms and software architecture
§ Proficient in Amazon EMR to run Presto and Spark engine
§ 2+ years of experience in using AWS cloud and its resources/services
§ Strong experience in Relational Databases (MySQL, SQL Server or PostgreSQL) and non-relational databases
§ Strong experience in real-time data processing and data ingestion
§ Strong experience in batch data processing and data pipelines
§ Preferably someone with experience in Alteryx
Schedule: Full-time
Req: 009E8P