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Insighting Manager

Job in Mission, Johnson County, Kansas, 66201, USA
Listing for: Globe Telecom, Inc.
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
In sighting Manager page is loaded## In sighting Manager locations:
21F The Globe Towertime type:
Full time posted on:
Posted Todayjob requisition :
RAt Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.##
** Job Description
** An In sighting Manager specializes in answering business problems by preparing data, organizing that data, and then analyzing the data so that business units can find actionable and meaningful insights that lead to business decisions or actions. The work is varied and exciting. The subject area can range from anything related to the customer including evolving behaviors and interests, use of technology and data, location analysis, etc to studying network usage patterns, identifying needs of large and medium companies, or use of products and promotions.

There may be an ask to study datasets that are new and identify patterns and customer behavior from it. It can be about confirming a hypothesis or finding correlations. It can be developing on-the-grounds data and analytics to improve week-to-week operations to be data-driven. It can be identifying cohorts from the subscriber base to recommend precise and targeted actions for microsegments.

Influence and partner with stakeholders to achieve  shared goals.
** ROLES & RESPONSIBILITIES
**** Data Management and Exploration
*** Extraction, exploration, and manipulation of large and complex data sets – leveraging on diverse telco data (CRM, Billing, transactional data, network data) with various external sources of data (digital, social, etc) for analytics and insighting
* Help internal stakeholders in understanding, interpreting and analyzing massive data sets
** Analytics and In sighting
*** Craft easy-to-consume narratives and actionable insights from complex concepts using advanced data visualization and presentation skills
* Draws out and communicates useful insights, actionable interpretations, alternative approaches, and solutions.
* Collaborate with business sponsors and different stakeholders to understand and if needed, operationalize analytic findings.
* Support internal business partners to understand their goals and needs allowing them to make informed decisions backed by quantitative evidence
** Stakeholder Management and Knowledge Transfer
*** Acts as analytics consultant to internal business users and serve as the point person for questions related to data, measurement methodology, and analytical techniques
* Enable or support Business in the use of data and various analytical tools to generate and communicate insights
* Support the drive for change management process to ensure the analytical developments are adopted by relevant internal teams.
* Keep updated with new analytical and insighting techniques and be extremely knowledgeable of industry standards and trends.
** REQUIREMENTS
* *** Work Experience
** At least five (5) experience in customer analytics domain covering most of the following: data mining,  insighting, advanced analytics, visualization, large scale data wrangling

Proven track record of managing and collaborating on analytical initiatives
** Level of Knowledge
** Degree in quantitative disciplines such as Statistics, Mathematics, Computer Science, Econometrics or Information Science such as Business Analytics Must possess core competencies, deep understanding and relevant experience in:

Scripting or programming experience (for data analysis, extraction): proficiency in programming languages such as Python and R; and relational and no-SQL databases such as SQL, Hive, Spark Data visualization tools: hands-on experience with tools such as Tableau, Power

BI, Google Data Studio, and other analytical tools or software

Familiar with most of the following disciplines:

Hypothesis testing: being able to develop a hypothesis and test them with careful experiments;

Statistical analysis: to understand causal relationships, etc.

Market segmentation: identify shared characteristics or behavioral profiles
** Soft Skills
** Communications and story-telling skills

Quick learner and critical…
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