Remote Analytics Manager (Mesa)

Infosys

Mesa (AZ)

Hybrid

USD 155,000 - 165,000

Full time

14 days+
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Benefits offered by this job

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

Job summary

A leading technology consulting firm is seeking a highly skilled Analytics Manager in Mesa, Arizona. This role involves leading data-driven initiatives, overseeing analytics strategy, and mentoring a team of analysts to deliver actionable insights. Candidates should possess a bachelor's degree and 5+ years of analytics experience, along with proficiency in data analysis tools like SQL and Python. The position offers a competitive salary range of $155,000 to $165,000 annually, along with a hybrid work environment and performance bonuses.

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.
  • Oversee data modeling, forecasting, performance metrics, and KPI development.
  • Partner with stakeholders to identify analytics needs and opportunities.
  • Ensure data accuracy, integrity, and governance best practices.

Skills

Data analysis tools (SQL, Python, R, Tableau, Power BI)
Strong analytical expertise
Excellent communication skills
Problem-solving skills

Education

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

Tools

SQL
Python
R
Tableau
Power BI

Job description

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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 (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.

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