Required 

1. Bachelor's degree in engineering 
2. Very strong problem-solving and analytical thinking capabilities
3. Excellent interpersonal and communication skills
4. Must be proficient in Microsoft Excel and PowerPoint
5. Must be competent in querying using SQL, and manipulating relational databases such as Teradata SQL assistant, Microsoft SQL server, or Oracle SQL Developer
6. Must be detail-oriented, thorough and analytical with a desire for continuous improvements
7. Must be adept at juggling several projects and initiatives simultaneously through appropriate prioritization
8. Must be fluent in English (written and spoken)
9. Must be legally authorized to work in India for any employer without sponsorship
10. Must be fluent in English (written and spoken)
11. Successful completion of interview required to meet job qualification
12. Reliable, punctual attendance is an essential function of the position

Preferred

1. 0-1 years of analytics experience
2. Prior experience with data querying and manipulation
3. Proficient in at least one of the following – Python / R / SAS/ SQL
4. Familiar with one or more reporting tools – Tableau / Oracle OBIEE / Brio / TIBCO Spotfire

Job overview and responsibilities

As an Associate Analyst, you will complete data analytics projects that create customer strategies, sustainable revenue and share growth, efficiencies and cost savings. This role requires a working knowledge of analytical concepts and tools. This role reports to the Manager – Marketing and Loyalty Data Analytics (CSC).

1. Assist in ad-hoc decision support, analytics projects, and scenario analyses
2. Gather and organize data from various sources using SQL/Python/R
3. Create, modify and automate reports and dashboards – take ownership of reporting structure and metrics, clearly and effectively communicating relevant information to decision makers using data visualization tools such as TIBCO Spotfire
4. Prepare presentations for United leadership and external stakeholders
5. Collaborate with Enterprise Data Science, Data Engineering, and IT development teams as appropriate
6. Perform statistical analyses including loyalty customer engagement and marketing promotions analytics, and build descriptive & predictive models using analytical tools such as SQL, R, Python, and SAS