Business Analysis Manager - Salesforce CRM Analytics

T-Mobile Us, Inc.
New York, NY, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Compensation
$77,900.0 - $140,500.0
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Big Data Data Mining Data Presentation Data Visualization Python (Programming Language) Power BI Salesforce.Com SQL Databases Tableau (Software)

Job description

This role supports strategic and operational decision-making by delivering insights and analysis across the business. It manages data mining, business intelligence, and reporting to provide actionable recommendations. The role collaborates with multiple teams to conduct complex modeling and analysis for business improvements. Success is measured by the accuracy and impact of insights that inform resource prioritization and performance benchmarks. The work influences organizational strategies and enhances customer experience through data-driven solutions. Specific to this role is the required Salesforce CRM Analytics knowledge and experience of data visualization and report building., * Provide insights and recommendations that optimize business experiences through cross-functional collaboration and data analysis

  • Develop and maintain data and SF CRM Analytics reporting solutions including dashboards, reports, and self-service tools to support enterprise goals
  • Apply analytical and modeling techniques to support decision-making and resource prioritization across the organization
  • Participate in the design and administration of reporting structures and interfaces for standardized use across teams
  • Also responsible for other duties/projects, as assigned by business management as needed

Requirements

Do you have experience in Team management?, Do you have a Bachelor’s degree?, * Bachelor’s Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)

  • Acceptable areas of study include Data analysis, data science, similar quantitative fields or equivalent practical experience (Required)
  • 4-7 years Working experience solving analytical problems using quantitative approaches (Required)
  • 4-7 years Working experience reporting and analyzing performance & data visualization (Salesforce CRM Analytics, Tableau, Power BI, etc.) (Required)
  • 4-7 years Working experience in advanced analytics, which includes SQL analysis of complex datasets, competitive analysis, quantitative analysis & research (Required)
  • Working experience with Python, R, Go or similar statistics or data science language preferred. (Preferred)
  • Telecommunications (Preferred)

Knowledge, Skills and Abilities:

  • Business Acumen (Required)
  • Dashboard Development (Required)
  • Data Analysis (Required)
  • Data Storytelling (Required)
  • Executive Presence (Required)
  • Financial Modeling (Required)
  • People Management (Required)
  • Project Management (Required)
  • Stakeholder Management (Required)
  • Strategic Thinking (Required)

  • At least 18 years of age
  • Legally authorized to work in the United States

Benefits & conditions

3.73.7 out of 5 stars 1166 Ave Of The Americas, New York, NY 10036 Hybrid work $77,900 - $140,500 a year - Full-time, Pulled from the full job description

  • Childcare
  • Tuition reimbursement
  • Pet insurance
  • Paid parental leave
  • Employee stock purchase plan
  • AD&D insurance
  • Parental leave, At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees!, Base Pay Range: $77,900 - $140,500

Corporate Bonus Target: 15%

The pay range above is the general base pay range for a successful candidate in the role. The successful candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.

At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee’s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, click here.

At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don’t stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile’s amazing benefits, check out www.t-mobilebenefits.com.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:44 min

Integrating data analytics into the talent acquisition function

Kobi Kobi +1 · WWC 2025

2:31 min

Data mining literary works for language patterns

Jen Looper Jen Looper · Europe 2026 Virtual

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

1:42 min

Combining technical skills with strong business communication

Lukas Kölbl · LIVE

4:25 min

Analyzing web accessibility data at scale

Karl Groves Karl Groves · LIVE

Videos

See all

Related articles

See all