Wireless CX Data Analyst

Key Skills

Analytical and Problem solving, Data Modeling, Data science techniques, Data Visualization, IT, Planning and organization, SQL

Job Description

Job Duties and Responsibilities

As the Wireless CX Data Analyst, you’ll join DISH's award-winning Customer Experience Transformation Team (CXT) to bring analytic concepts to life, helping the business make informed decisions about customer experience for our Wireless businesses. You’ll help identify and champion the resolution of key customer pain points using advanced data modeling, engaging with key stakeholders across the business to build impactful data-driven stories. You’ll deepen the company’s understanding of our customers by ensuring appropriate measures, systems, programs, processes, and tools are in place to drive an industry-leading customer experience.

An ideal candidate is a highly analytical data insights expert with a comprehensive understanding of the challenges that companies face, and is familiar with the latest data analytics modeling techniques to derive insights from numerous CX data sources. You’ll have full support to leverage cutting-edge machine learning capabilities to expand our analytics processes and advance our CX thought leadership within and across teams. Ultimately, we want someone that gets excited when discovering insights via state-of-the-art analytical methods that haven’t been communicated before.

Key Responsibilities:

• Analytical thinking and problem-solving: Spearheading complex data analysis projects from inception to completion, ensuring alignment with strategic business goals. Developing methodologies to address long-term business needs and objectives, including data modeling and predictive analytics. Analyzing customer data to identify pain points, opportunities for improvement, and providing intelligence to business partners, and implementing scorecards to embed CX data across the company.
• Data science and knowledge management: Managing knowledge by maintaining documentation of all developed statistical analysis and machine learning algorithm techniques related to Voice of Customer initiatives. Researching new data science techniques and VOC best practices to improve CX modeling capabilities in understanding customer behaviors and sentiment.
• Communication and Storytelling: Organizing and presenting information to bring the customer to life in both formal and informal presentations to large and small groups, to both technical and non-technical audiences. Presenting in-depth analysis and summary findings to stakeholders and representing the team as a data SME in partner meetings.
• Business Acumen: Understanding how subscription-based businesses work and infusing functional expertise into day-to-day discoveries; researching current industry trends and possible future policies, practices, trends, technology, and information affecting the Wireless industry; conducting competitive intelligence and being aware of how strategies and tactics work in the marketplace.
• Cross-Functional Collaboration: Partnering closely with business units, product teams, and customer service departments to understand their needs and provide data-driven recommendations. Acting as a liaison with other departments, ensuring alignment on customer experience goals and initiatives. Contributing to the development and execution of key initiatives aimed at improving the overall customer experience. Providing thought leadership on customer experience trends and best practices, using data to support strategic decision-making.

Skills, Experience and Requirements

Education and Experience:

• Degree in a quantitative field, such as Statistics, Mathematics, Computer Science, Economics, or equivalent practical experience. A Master’s degree with solid hands-on work and consulting experience is a plus

Skills and Qualifications:

• Extensive experience in analytics and data visualization with the ability to translate data into actionable insights
• Proficiency in querying raw data (SQL), statistical analysis, data modeling, and data visualization
• Excellent organizational, verbal, presentation, visual, storytelling, and written communication skills; ability to transform raw data into an effective story and lead presentations sharing results with team members who may not have an extensive background in statistics
• Keen attention to detail and organization; the ability to manage and execute multiple delivery engagements simultaneously
• Comfortable working in a program and project management capacity; consulting with stakeholders to adapt deliverables as needed throughout the project’s lifetime
• History of excellent, positive teamwork; proactive collaboration; and highly effective problem-resolution skills
• Keen attention to detail and organization; the ability to manage and execute multiple delivery engagements simultaneously. Practical experience generating process documentation and reports
• Ability to interact with and communicate effectively with a large spectrum of different stakeholders, including IT personnel, senior business executives, and technology vendors

Preferred Skills and Qualifications:

• Proven experience in collecting, analyzing, and interpreting customer feedback data to drive insights and improvements in customer experience
• Experience with supervised and unsupervised machine learning algorithms and quantitative modeling techniques, across the spectrum of diagnostic statistical analysis and predictive/prescriptive approaches
• Programming languages such as Python, R, or equivalent are strongly preferred
• Familiar with customer experience data in an omnichannel setting, with exposure to emergent technologies and platforms that enable these workstreams

Salary Ranges

Compensation: $72,400.00/Year - $103,400.00/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.