Remote Analytics Manager (Fort Worth)

Infosys; Fort Worth (TX); 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 firm in Fort Worth, Texas, is seeking a skilled Analytics Manager to lead data-driven initiatives and manage analytics strategies. Responsibilities include mentoring analysts, overseeing data projects, and presenting insights to senior leadership. The ideal candidate will have a bachelor’s degree and extensive experience in analytics and leadership. Competitive compensation with benefits such as health insurance, a 401(k) plan, and professional development opportunities is offered in 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.
• Develop and execute analytics strategies aligned with organizational goals.
• Present insights and recommendations to senior leadership.

Skills

Data analysis tools (SQL, Python, R, Tableau, Power BI)

Problem-solving

Communication skills

Stakeholder management

Education

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

Job description

This range is provided by Infosys. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

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 (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.

Hiring 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.

Job Information

• Seniority level: Mid‑Senior level
• Employment type: Full‑time
• Job function: Research, Analyst, and Information Technology
• Industries: Transportation, Logistics, Supply Chain and Storage