Remote Analytics Manager (Tulsa)

Infosys; Tulsa (OK); Hybrid; USD 155,000 - 165,000; Full time

Benefits offered by this job

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 company is seeking an Analytics Manager in Tulsa, OK, to oversee analytics strategies and manage data-driven projects. The successful candidate will have extensive experience in analytics, lead a team of analysts, and communicate insights to senior leadership. Key skills include SQL, Python, and leadership experience. Competitive salary ranges from $155,000 to $165,000 annually, with additional benefits such as health insurance and a hybrid work model.

Qualifications

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

Responsibilities

• Lead, mentor, and manage a team of analysts.
• Develop and execute analytics strategies aligned with organizational goals.
• Present insights and recommendations to senior leadership.

Skills

SQL

Python

R

Tableau

Power BI

Data analysis

Problem-solving

Stakeholder management

Education

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

Tools

Data analysis tools

Job description

Base Pay Range

$155,000 – $165,000 annually

Location

Tulsa, OK

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 (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

Work Schedule

• Full‑time and part‑time positions available
• Hybrid work environment offering flexibility between remote and in‑office work

Recruitment Process

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Benefits of Referral

Referrals increase your chances of interviewing at Infosys by 2‑fold.