Remote Analytics Manager (Atlanta)

Infosys; Atlanta (GA); 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 consulting company is looking for an Analytics Manager to oversee data-driven initiatives that enhance business growth and efficiency. This role requires a strong leader with over 5 years of analytics experience, proficient in data analysis tools like SQL and Tableau. Responsibilities include managing a team of analysts, developing analytics strategies, and ensuring data accuracy. The position offers a competitive salary between $155,000 and $165,000, plus benefits like a 401(k) plan and health insurance, 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 insights and reporting.
• Develop and execute analytics strategies aligned with organizational goals.
• Oversee data modeling, forecasting, performance metrics, and KPI development.

Skills

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

Communication skills

Problem-solving

Stakeholder management

Education

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

Tools

SQL

Python

R

Tableau

Power BI

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 (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

Work Schedule

• Full‑Time and Part‑Time positions available.
• Hybrid work environment offering flexibility between remote and in‑office work.

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.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Research, Analyst, and Information Technology

Industries

Transportation, Logistics, Supply Chain and Storage