Remote Analytics Manager (Oklahoma City)

Infosys

Oklahoma City (OK)

Hybrid

USD 155,000 - 165,000

Full time

14 days+
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Benefits offered by this job

Competitive salary
Annual performance bonus
401(k) retirement plan
Health insurance
Dental and vision insurance
Life insurance
Paid time off and holidays
Professional development opportunities

Job summary

A leading technology consultant is seeking an experienced Analytics Manager in Oklahoma City to lead strategic initiatives that enhance business growth and operational efficiency. This role involves mentoring a team of analysts, developing analytics strategies, and presenting insights to decision-makers. The ideal candidate will have over 5 years of experience in analytics or data science and possess strong leadership and communication skills. This position offers a competitive salary and a hybrid work environment.

Qualifications

  • 5+ years of experience in analytics, business intelligence, or data science.
  • 2+ years of experience in a leadership or managerial role.
  • Experience working with large datasets and complex analytical models.

Responsibilities

  • Lead, mentor, and manage a team of analysts to deliver high-quality insights and reporting.
  • Develop and execute analytics strategies aligned with organizational goals.
  • Oversee data modeling, forecasting, performance metrics, and KPI development.
  • Present insights and recommendations to senior leadership in a clear, concise manner.

Skills

Data analysis tools (SQL, Python, R, Tableau, Power BI)
Leadership
Problem-solving
Communication
Stakeholder management

Education

Bachelor’s degree in Analytics, Data Science, Statistics, Economics, Computer Science, or related field

Job description

Base Pay Range

$155,000.00/yr – $165,000.00/yr

About The Role

We are seeking a highly skilled and strategic Analytics Manager to lead data‑driven initiatives that support business growth, operational efficiency, and informed decision‑making. This role will oversee analytics strategy, manage data projects, and collaborate cross‑functionally to deliver actionable insights. The ideal candidate is a strong leader with advanced analytical expertise, excellent communication skills, and the ability to translate complex data into meaningful business outcomes.

Key Responsibilities
  • Lead, mentor, and manage a team of analysts to deliver high‑quality insights and reporting
  • Develop and execute analytics strategies aligned with organizational goals
  • Oversee data modeling, forecasting, performance metrics, and KPI development
  • Partner with stakeholders across departments to identify analytics needs and opportunities
  • Ensure data accuracy, integrity, and governance best practices
  • Present insights and recommendations to senior leadership in a clear, concise manner
  • Drive continuous improvement in analytics tools, processes, and methodologies
Qualifications
  • Bachelor’s degree in Analytics, Data Science, Statistics, Economics, Computer Science, or a related field
  • 5+ years of experience in analytics, business intelligence, or data science
  • 2+ years of experience in a leadership or managerial role
  • Strong proficiency in data analysis tools (e.g., SQL, Python, R, Tableau, Power BI, or similar)
  • Experience working with large datasets and complex analytical models
  • Excellent problem‑solving, communication, and stakeholder management skills
Employment Eligibility

U.S. applicants only – Must be legally authorized to work in the United States

Compensation & Benefits
  • Competitive salary: $155,000 – $165,000 annually
  • Annual performance bonus: Typically 10%–20% of base salary
  • 401(k) retirement plan
  • Health insurance
  • Dental and vision insurance
  • Life insurance
  • Paid time off and holidays
  • Professional development opportunities
  • Full‑time and part‑time positions available
  • Hybrid work environment offering flexibility between remote and in‑office work
Seniority Level
  • Mid‑Senior level
Employment Type
  • Full‑time
Job Function
  • Research, Analyst, and Information Technology
  • Industries: Transportation, Logistics, Supply Chain and Storage
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