Remote Analytics Manager (Mesa)

Infosys; Mesa (AZ); Híbrido; USD 155.000 - 165.000; Jornada completa

Descripción de la vacante

Infosys in the United States is seeking an Analytics Manager to lead data-driven initiatives that support growth, efficiency, and informed decision‑making. This role oversees analytics strategy, data projects, and cross‑functional collaboration to deliver actionable insights and governance.

The ideal candidate is a strong leader with advanced analytics expertise, excellent communication, and the ability to translate data into business outcomes.

Formación

• 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

Responsabilidades

• 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

Conocimientos

Leadership

Stakeholder management

Analytical thinking

Communication

Problem solving

Educación

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

Herramientas

SQL

Python

R

Tableau

Power BI

Descripción del empleo

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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 insuranceLife insurance
• Paid time off and holidaysProfessional development opportunities

Work Schedule

• 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

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.