$500 Hiring Bonus
Are you looking for a fun and rewarding position? If you answered yes, then EMS is the place for you!
The Position
As a Technical Support Agent you must be able to answer inbound customer calls, email, and chat inquiries in a timely and productive manner. Agents will troubleshoot and handle call escalations to resolve technical issues and/or customer inquiries regarding services, products and complaints. Must be able to maintain a strong relationship and communication between EMS and client on account procedures and managing priorities.
Why work at EMS?
EMS Inc. offers a team work environment, not a “typical” call center atmosphere. We have a variety of programs that hat are rewarding and fun! We are a dynamic team that can offer more of a one on one approach to our employees. We are not the “big box” guys where you feel like a number. We want our agents to succeed!
You will need
Above average customer service skills
Strong written and verbal communication skills when interacting with customers and coworkers
Friendly and energetic attitude
Computer knowledge and internet skills
Ability to navigate between multiple computer screens/tabs
Quick learner who enjoys using trouble-shooting and problem solving skills
Ability to work both as an individual and as a team member
Requirements
High School Diploma or equivalent
Must be familiar with phone Apps, Internet, Email, and Microsoft Office
Previous call center experience preferred, but not required
Preferred Associates Degree in technical and/or related field
Experience with the Internet, networking, WAN, LAN, technology, personal computers, mobile devices, and Microsoft Office
Previous technical help desk or call center experience a plus
Variety of shifts available. Availability for 1 weekend day preferred
EMS Offers
Career advancement opportunities
Team work environment
$500 hiring bonus
Paid on-the-job training
Full time schedules
Medical, dental, vision, and life insurance benefits 1st of the month following 59 days of hire
Casual dress attire
Individual work spaces
Complimentary breakfast on Fridays
Free parking
North-West Omaha location
Apr 04, 2019
Full-time
$500 Hiring Bonus
Are you looking for a fun and rewarding position? If you answered yes, then EMS is the place for you!
The Position
As a Technical Support Agent you must be able to answer inbound customer calls, email, and chat inquiries in a timely and productive manner. Agents will troubleshoot and handle call escalations to resolve technical issues and/or customer inquiries regarding services, products and complaints. Must be able to maintain a strong relationship and communication between EMS and client on account procedures and managing priorities.
Why work at EMS?
EMS Inc. offers a team work environment, not a “typical” call center atmosphere. We have a variety of programs that hat are rewarding and fun! We are a dynamic team that can offer more of a one on one approach to our employees. We are not the “big box” guys where you feel like a number. We want our agents to succeed!
You will need
Above average customer service skills
Strong written and verbal communication skills when interacting with customers and coworkers
Friendly and energetic attitude
Computer knowledge and internet skills
Ability to navigate between multiple computer screens/tabs
Quick learner who enjoys using trouble-shooting and problem solving skills
Ability to work both as an individual and as a team member
Requirements
High School Diploma or equivalent
Must be familiar with phone Apps, Internet, Email, and Microsoft Office
Previous call center experience preferred, but not required
Preferred Associates Degree in technical and/or related field
Experience with the Internet, networking, WAN, LAN, technology, personal computers, mobile devices, and Microsoft Office
Previous technical help desk or call center experience a plus
Variety of shifts available. Availability for 1 weekend day preferred
EMS Offers
Career advancement opportunities
Team work environment
$500 hiring bonus
Paid on-the-job training
Full time schedules
Medical, dental, vision, and life insurance benefits 1st of the month following 59 days of hire
Casual dress attire
Individual work spaces
Complimentary breakfast on Fridays
Free parking
North-West Omaha location
In 2019, the Walt Disney Company will launch Disney+, a Disney-branded streaming service featuring an incomparable collection of content from its brands and franchises recognized and respected all over the world. The Direct-To-Consumer (DTC) service will serve as the exclusive home for viewing original movies, series, short-form, and more, along with a vibrant catalogue that spans classic Disney Animation to the most recent movie releases. We’re looking for talented team-players with an entrepreneurial spirit, who will thrive upon the legacy of our company yet embrace unconventional thinking, and who are passionate about contributing to The Walt Disney Company’s direct-to-consumer experience through strategic hard-work and determination. Reporting to the Director of Customer Service, the Reporting Analyst will leverage analytics to facilitate data-driven decision-making across Disney Streaming Services direct-to-consumer channels. The role will analyze customer behavior and marketing performance in order to provide actionable insights and strategic recommendations to optimize the customer experience.
Responsibilities:
Track, analyze and report on customer behavior across online and offline channels; Transform data into actionable strategic insights and recommendations to optimize omni-channel customer experience
Assess the impact of customer acquisition and retention programs across the consumer conversion funnel leveraging data from multiple sources and platforms
Analyze CRM data for all Direct-to-Consumer channels to understand cross-channel customer behavior and consumer profiles/segments
Create real-time reports and dashboards to disseminate data across all levels of the organization
Ensures quality and timeliness of deliverables that meet expectations while balancing business needs with the appropriate level of analytical rigor
Provides insights to support senior management with decision making
Develops and maintains relationship with partner organizations
Identifies growth opportunities based on current customer and market trends
Basic Qualifications:
2+ years in an analytical role, preferably within CRM/customer analytics
Experience with CRM databases and tools such as ZenDesk or Salesforce, and proficient in SQL and Excel
Hands-on experience with DOMO, Tableau or other data analysis/visualization tools
Experience with web analytics tools such as Google Analytics a plus
Must be self-motivated and enjoy sifting through large amounts of data
High level of analytical and business curiosity; creative problem solver
Strong interpersonal and communication skills including influence and leader engagement
Ability to thrive in a fast-paced dynamic environment
Preferred Qualifications:
Personal affinity for the brands and franchises of The Walt Disney Company
Experience with Streaming or Technical Services
Required Education:
Bachelor’s degree or higher in Statistics, Mathematics, Analytics, Economics or related field
Mar 22, 2019
Full-time
In 2019, the Walt Disney Company will launch Disney+, a Disney-branded streaming service featuring an incomparable collection of content from its brands and franchises recognized and respected all over the world. The Direct-To-Consumer (DTC) service will serve as the exclusive home for viewing original movies, series, short-form, and more, along with a vibrant catalogue that spans classic Disney Animation to the most recent movie releases. We’re looking for talented team-players with an entrepreneurial spirit, who will thrive upon the legacy of our company yet embrace unconventional thinking, and who are passionate about contributing to The Walt Disney Company’s direct-to-consumer experience through strategic hard-work and determination. Reporting to the Director of Customer Service, the Reporting Analyst will leverage analytics to facilitate data-driven decision-making across Disney Streaming Services direct-to-consumer channels. The role will analyze customer behavior and marketing performance in order to provide actionable insights and strategic recommendations to optimize the customer experience.
Responsibilities:
Track, analyze and report on customer behavior across online and offline channels; Transform data into actionable strategic insights and recommendations to optimize omni-channel customer experience
Assess the impact of customer acquisition and retention programs across the consumer conversion funnel leveraging data from multiple sources and platforms
Analyze CRM data for all Direct-to-Consumer channels to understand cross-channel customer behavior and consumer profiles/segments
Create real-time reports and dashboards to disseminate data across all levels of the organization
Ensures quality and timeliness of deliverables that meet expectations while balancing business needs with the appropriate level of analytical rigor
Provides insights to support senior management with decision making
Develops and maintains relationship with partner organizations
Identifies growth opportunities based on current customer and market trends
Basic Qualifications:
2+ years in an analytical role, preferably within CRM/customer analytics
Experience with CRM databases and tools such as ZenDesk or Salesforce, and proficient in SQL and Excel
Hands-on experience with DOMO, Tableau or other data analysis/visualization tools
Experience with web analytics tools such as Google Analytics a plus
Must be self-motivated and enjoy sifting through large amounts of data
High level of analytical and business curiosity; creative problem solver
Strong interpersonal and communication skills including influence and leader engagement
Ability to thrive in a fast-paced dynamic environment
Preferred Qualifications:
Personal affinity for the brands and franchises of The Walt Disney Company
Experience with Streaming or Technical Services
Required Education:
Bachelor’s degree or higher in Statistics, Mathematics, Analytics, Economics or related field
Leads the identification of optimal research and analysis methodologies to be used to provide key findings that will address a broad range of complex business questions. Supports advanced analytics/data modeling. Provides technical leadership to data scientists and business stakeholders to define data requirements, perform gap analysis, source and transform data to support exploratory data analysis, and design models.
Primary Responsibilities:
Leads multiple, high impact data research/analytics projects and programs.
Collaborates with and provides consulting to business partners to understand strategic requirements and corresponding needs for insight/information, and recommends optimal research and analytical approaches.
Delivers key findings for multiple projects/programs to business leader's and assists with decision making and prioritization of initiatives.
Serves as Subject Matter Expert for implementation of new approaches and identification of optimal blend of research/analytic techniques.
Provides end-to-end solutions that can tum complex and large volumes of data into 'intelligent data' that can answer critical business questions.
Provides leadership in the development of test strategy and measurement plans.
Plans, implements, and tracks long-term and short-term data projects.
Partners with technology teams to operationalize findings from exploratory data sourcing sprints.
Education and Experience:
Bachelor's degree (or foreign education equivalent) in Computer Science, Engineering, Business Administration, Marketing, Mathematics, Statistics, or a closely related field and six (6) years of experience in the job offered or six (6) years of experience in ad hoc data mining and predictive modeling to support investment management distribution strategy for CRM.
Or, alternatively, a Master's degree (or foreign education equivalent) in Computer Science, Engineering, Business Administration, Marketing, Mathematics, Statistics, or a closely related field and four (4) years of experience in the job offered or four ( 4) years of experience in ad hoc data mining and predictive modeling to support investment management distribution strategy for CRM.
Skills and Knowledge:
Candidate must also possess:
Demonstrated Expertise ("DE") extracting large datasets for predictive modeling and time series analysis using SPSS for financial distribution center and financial products in Oracle-based Star and Relational databases.
DE analyzing data from Oracle-based Star and Relational database CRM systems to identify sales opportunities in financial distribution and financial products, and to measure the results of client interactions in these opportunities with field and phone wholesalers and marketing initiatives.
DE developing client segmentation analysis to support multi-channel financial distribution and financial products sales and marketing efforts, including segmenting clients based on different financial products related to channel sales strategy and developing linear and logistic regression models for customer segmentation.
DE analyzing and presenting results of financial products sales and marketing to senior executives and making recommendation to marketing and sales stakeholders
Feb 01, 2019
Full-time
Leads the identification of optimal research and analysis methodologies to be used to provide key findings that will address a broad range of complex business questions. Supports advanced analytics/data modeling. Provides technical leadership to data scientists and business stakeholders to define data requirements, perform gap analysis, source and transform data to support exploratory data analysis, and design models.
Primary Responsibilities:
Leads multiple, high impact data research/analytics projects and programs.
Collaborates with and provides consulting to business partners to understand strategic requirements and corresponding needs for insight/information, and recommends optimal research and analytical approaches.
Delivers key findings for multiple projects/programs to business leader's and assists with decision making and prioritization of initiatives.
Serves as Subject Matter Expert for implementation of new approaches and identification of optimal blend of research/analytic techniques.
Provides end-to-end solutions that can tum complex and large volumes of data into 'intelligent data' that can answer critical business questions.
Provides leadership in the development of test strategy and measurement plans.
Plans, implements, and tracks long-term and short-term data projects.
Partners with technology teams to operationalize findings from exploratory data sourcing sprints.
Education and Experience:
Bachelor's degree (or foreign education equivalent) in Computer Science, Engineering, Business Administration, Marketing, Mathematics, Statistics, or a closely related field and six (6) years of experience in the job offered or six (6) years of experience in ad hoc data mining and predictive modeling to support investment management distribution strategy for CRM.
Or, alternatively, a Master's degree (or foreign education equivalent) in Computer Science, Engineering, Business Administration, Marketing, Mathematics, Statistics, or a closely related field and four (4) years of experience in the job offered or four ( 4) years of experience in ad hoc data mining and predictive modeling to support investment management distribution strategy for CRM.
Skills and Knowledge:
Candidate must also possess:
Demonstrated Expertise ("DE") extracting large datasets for predictive modeling and time series analysis using SPSS for financial distribution center and financial products in Oracle-based Star and Relational databases.
DE analyzing data from Oracle-based Star and Relational database CRM systems to identify sales opportunities in financial distribution and financial products, and to measure the results of client interactions in these opportunities with field and phone wholesalers and marketing initiatives.
DE developing client segmentation analysis to support multi-channel financial distribution and financial products sales and marketing efforts, including segmenting clients based on different financial products related to channel sales strategy and developing linear and logistic regression models for customer segmentation.
DE analyzing and presenting results of financial products sales and marketing to senior executives and making recommendation to marketing and sales stakeholders
