Customer Lifecycle Analyst

Company Summary
EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products.
Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.
Department Summary
Our Retail Wireless team, serving our Boost Mobile and Gen Mobile brands, is redefining consumer expectations through new platforms, new business models and new ways of thinking. Equipped with a first-of-its-kind 5G network, a passion for change and the power to drive it, we'll emerge as the nation's fourth facilities-based wireless carrier and a disruptive force in the market at large.
Job Duties and Responsibilities
We are seeking an experienced customer lifecycle analyst to join our team and take the lead analyzing promotions and customer lifecycle performance across various channels, including Boost Mobile stores, eCommerce, Amazon, telesales, and B2B. In this role, you will serve as the main point of contact for sales channel owners, providing insights and analysis on promotion performance, customer churn, and customer segmentation. Additionally, this role will collaborate closely with our acquisition marketing analytics and data science teams for cross functional analytics leveraging insights throughout our organization. Your leadership will be crucial in driving innovative data-driven strategies to enhance our sales channel performance and customer retention strategy.
Key Responsibilities:

• Sales Analysis: Analyze sales data from Boost Mobile stores, eCommerce platforms, Amazon.com, telesales, and B2B channels to assess performance trends, identify opportunities, and drive sales growth
• Subscriber Activations: Track and analyze subscriber activations across various sales channels, including new customer acquisitions, value added services, upgrades, and downgrades; identify factors influencing subscriber activations and develop strategies to optimize activation rates
• Promotion Analysis: Evaluate the effectiveness of sales promotions, discounts, value added services and device upgrades across different channels; measure promotion ROI, assess impact on sales volume and revenue, and provide recommendations for future promotional strategies
• Customer Churn Analysis: Analyze customer churn rates and churn drivers across different sales channels; identify patterns and trends in customer churn behavior, assess the impact on revenue, and develop retention strategies to minimize churn
• Customer Segmentation: Conduct customer segmentation analysis based on demographic, behavioral, and transactional data; identify high-value customer segments, understand their needs and preferences, and develop targeted sales and marketing strategies to increase engagement and loyalty
• Collaboration with Marketing Analytics Team: Collaborate with acquisition marketing analytics teams to integrate sales channel data with marketing campaign data; provide insights on sales attribution, campaign effectiveness, and customer journey analysis to optimize marketing strategies
• Collaboration with Marketing Data Science Team: Work closely with data science teams to leverage advanced analytics and machine learning techniques for sales forecasting, predictive modeling, and customer lifetime value (CLV) analysis; incorporate data science insights into sales channel optimization strategies
• Reporting and Insights: Prepare regular reports, dashboards, and presentations to communicate key findings, insights, and actionable recommendations to sales channel owners and senior leadership; present findings in a clear and compelling manner to drive decision-making and action
• Continuous Improvement: Stay abreast of industry trends, best practices, and emerging technologies in sales analytics, eCommerce, and retail; proactively seek out opportunities for innovation and improvement in sales channel analysis methodologies and tools

Skills, Experience and Requirements
Education and Experience:

• Bachelor's or Master's degree in Business, Marketing, Statistics, Analytics, or related field
• 3+ years in data analysis and visualization tools such as SQL, Python, Tableau, Google Analytics, or Adobe Analytics

Skills and Qualifications:

• Strong analytical skills with the ability to collect, organize, analyze, and interpret large datasets
• Proven experience in sales or customer analytics, business intelligence, or statistics
• Knowledge of statistical analysis techniques, segmentation methodologies, and predictive modeling
• Familiarity with statistical analysis techniques, A/B testing methodologies, and marketing attribution modeling
• Excellent leadership, communication, and stakeholder management skills
• Strong problem-solving skills, analytical thinking, and attention to detail
• Ability to thrive in a fast-paced, dynamic environment and manage multiple projects simultaneously

This role offers an exciting opportunity to play a key role in analyzing sales performance across multiple channels and driving sales growth for our organization. If you are passionate about leveraging data to optimize sales strategies and improve business outcomes, we would love to hear from you!
Salary Ranges
Compensation: $54,650.00/Year - $78,100.00/Year
Benefits
We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: DISH Benefits .
The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.
Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.
The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.