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JobgetherJO

Data Analytics Manager (Remote - US)

Jobgether

Salary: 118k-165k USD

United States only

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Analytics Manager in United States.

This role offers the opportunity to lead advanced analytics initiatives and drive actionable insights across multiple business functions. As a Data Analytics Manager, you will design, implement, and manage data models, dashboards, and predictive analytics that influence strategic decision-making. You’ll collaborate closely with senior leadership and cross-functional teams, translating complex data into clear, actionable recommendations. This position blends technical expertise with leadership and change management, providing an environment where innovation, data-driven thinking, and measurable business impact are central to your daily work.

Accountabilities

  • Lead strategic analytics projects, including elasticity models, failure-rate predictions, dynamic safety stock, customer churn, and historic customer behavior analyses.
  • Build, enhance, and maintain Power BI dashboards, ensuring single-source-of-truth metrics for KPIs.
  • Prepare and present analytical findings and recommendations to senior management and key stakeholders.
  • Support collaborative data analytics initiatives and research across teams.
  • Continuously assess and refine analytical methodologies to improve accuracy and relevance of insights.
  • Translate complex analytics into clear narratives and actionable plans for executives.

Champion change management by training end users, gathering feedback, and monitoring adoption of analytics tools

Requirements

  • Bachelor’s degree in a relevant field.
  • 4+ years of experience managing and analyzing large datasets using Python or R, with strong proficiency in Power BI and Excel.
  • 3+ years of experience in business analysis, financial analysis, strategic planning, or data analytics.
  • Strong communication skills, able to convey insights verbally and via presentations (e.g., PowerPoint).
  • Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
  • Strong organizational, analytical, and problem-solving skills; ability to synthesize data from multiple sources.
  • Demonstrated ability to collaborate cross-functionally, negotiate priorities, and drive results.
  • Proactive, detail-oriented, and customer-focused with a sense of urgency and ownership.

Benefits

  • Competitive salary range: $118,000 – $165,000.
  • Health, dental, and vision insurance.
  • Paid time off and flexible work schedules.
  • Retirement savings plan with company contributions.
  • Learning and development opportunities.
  • Inclusive and collaborative remote-friendly culture.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Manager

Salary

Salary: 118k-165k USD

Location requirements

Hiring timezones

United States +/- 0 hours
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