64 applicants

This job has closed.

Company

DISH Network · 2 weeks ago

Wireless CX Data Analyst

Englewood, CO

Full-time

Onsite

Mid Level

$72K/yr - $103K/yr

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AudioSatellite Communication

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Responsibilities

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.

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.

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.

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.

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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data analyticsData visualizationSQLMachine learningStatistical analysisData modelingPythonRCustomer feedback analysisOmnichannel experienceProject management

Required

Degree in a quantitative field, such as Statistics, Mathematics, Computer Science, Economics, or equivalent practical experience

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 to 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

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

Familiar with customer experience data in an omnichannel setting, with exposure to emergent technologies and platforms that enable these workstreams

Preferred

A Master’s degree with solid hands-on work and consulting experience is a plus

Programming languages such as Python, R, or equivalent strongly preferred

Benefits

Versatile health perks

Flexible spending accounts

HSA

A 401(k) Plan with company match

ESPP

Career opportunities

A flexible time away plan

Company

DISH Network

Glassdoor

3.3

DISH Network provides television entertainment and technology to customers with its satellite DISH TV and streaming SLING TV services.

Founded in 1980

Englewood, Colorado, USA

10001+ employees

https://www.dish.com

H1B Sponsorship

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Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2023 (142)

2022 (228)

2021 (193)

2020 (133)