Engagement Manager Advanced Analytics

INTELLISWIFT INC; United States; Remote; USD 100,000 - 125,000; Full time

Job summary

Join a forward-thinking company as an Engagement Manager in Advanced Analytics, where you will leverage your analytical expertise to drive innovation and solve complex business challenges. This remote role offers the chance to work with diverse teams across the enterprise, utilizing big data and advanced analytics to influence strategic decisions and improve operations. You will lead analytics projects, mentor junior team members, and present findings to stakeholders, all while fostering a collaborative and innovative work environment. If you are passionate about data analytics and eager to make a measurable impact, this opportunity is perfect for you.

Qualifications

• 4+ years of experience in an analytical role with strong SQL and Python skills.
• Bachelor’s degree in a quantitative field or equivalent experience required.

Responsibilities

• Apply data analysis and machine learning techniques to solve business problems.
• Collaborate with teams to identify opportunities and deploy solutions.

Skills

Data Analysis

Statistical Modeling

Machine Learning

Data Visualization

SQL

Python

Project Management

Interpersonal Skills

Strategic Thinking

Problem-Solving

Education

Bachelor’s Degree in Quantitative Field

Advanced Degree in Analytics or Data Science

Tools

Spotfire

Tableau

Microsoft BI

Microsoft Excel

Microsoft PowerPoint

R

SPSS

SAS

Job description

Engagement Manager Advanced Analytics
Remote
Longterm Contract

The Analytics and Innovation (Ai) team works to innovate, transform, and solve complex business problems resulting in significant and measurable enterprise impact through the application of deep cross-functional business expertise and advanced analytics. We work with business and technology partners across the enterprise (e.g., Airport Operations, Contact Centers, Network Planning, Revenue Management, Digital Products, Human Resources, etc.) to influence strategic decisions, enterprise strategy, business process, and to help connect the dots across the enterprise. We aim to be an organization with whom and within everyone loves to work!

Advanced Analytics experts within Ai work with business and technology partners to develop diverse solutions to complex problems that span the enterprise. Team members leverage expertise using big data, analytics, data manipulation, statistics, and modeling to drive innovation and improvement in business strategy and operations, that increase revenue, increase customer satisfaction, reduce costs, or have other measurable impact on the airline.

Responsibilities:

1. Apply data analysis, data mining, data transformation, statistical modeling, and machine learning techniques to understand and solve business problems.
2. Collaborate with analytics, technology, and business team members across the enterprise to identify opportunities and align on and deploy solutions to business problems. Manage relationships with teams external to Ai.
3. Actively seek opportunities to innovate by using non-traditional data and new analytics methodologies; help facilitate idea generation and share best practices and new findings with others.
4. Help create and deliver presentations for leadership and external stakeholders. Lead or support status meetings and the frequent communication to key stakeholders at varying levels of leadership.
5. Lead analytics projects by helping define solutions, applying basic project management techniques to distribute work among teammates, execute efficiently, and communicate to stakeholders effectively.
6. Assist with talent acquisition process, mentor junior team members, and facilitate training as needed with reusable content and delivery of training sessions.

Qualifications - External

Required:

1. Bachelor’s degree in a quantitative field (statistics, engineering, business analytics, information systems, aviation management or related degree) and/or equivalent work experience required.
2. 4+ years of experience in analytical role (analysis, information science, data visualization or other relevant quantitative fields).
3. Ability to work with large datasets and/or Big Data using SQL, Python, or other database programming languages.
4. Ability to tell a story with data using reporting and data visualization tools (e.g., Spotfire, Tableau, Microsoft BI).
5. Proven proficiency with Microsoft Excel and PowerPoint.
6. Passionate about data analytics and visionary for how it can be applied, with strong strategic/critical thinking and problem-solving skills to complement.
7. Strong interpersonal skills with a focus on teamwork.
8. Ability to communicate complex quantitative concepts in a clear, precise, and actionable manner, through written and verbal presentation skills. Must exhibit written and spoken English fluency.
9. Must have high energy, be self-motivated, and possess a positive attitude.
10. Exhibit intellectual curiosity and strive to continually learn and develop technical and soft skills.
11. Ability to put definition and structure around problems and projects.
12. Strong organization skills, and attention to detail; be adept at juggling several projects and initiatives simultaneously through appropriate prioritization.
13. Must be legally authorized to work in the United States for any employer without sponsorship.
14. Successful completion of interview required to meet job qualifications.
15. Reliable, punctual attendance is an essential function of the position.

Preferred:

1. Understanding of Machine Learning and/or optimization tools and techniques.
2. Understanding of Statistical tools (R, SPSS, SAS) and ability to apply concepts to derive insights.
3. Advanced Degree in Analytics or Data Science.