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Ami Data Analyst Remote Jobs (NOW HIRING)

NuView Analytics

Data Analyst

Denver, CO · Remote

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

NATIONMIND LLC

Data Analyst

Houston, TX · Remote

$40 - $45/hr

Houston, TX or US Remote Duration: 6-12 months Skills: Data Analytics & Insights : ignio AIOps Experience Required: 6-8 Years Role Description: Data Analyst Strong experience in data analysis ...

NTT DATA Services

Alteryx Analyst (REMOTE)

Buffalo, NY · On-site +1

$63K - $109K/yr

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with ... We are currently seeking a Alteryx Analyst (REMOTE) to join our team! This role can be fully remote ...

Jobsultant Solutions

Remote Data Analyst

Denver, CO · Remote

The Nations 2nd largest Technical Staffing and Services Firm, has an opening for a Remote Analyst ... Project will involve complex excel formulas and ability to synthesize large data sets into ...

Right Skale, Inc.

Data Analyst

Data Analyst - Long Term Contract - Remote (US-based) We're seeking a Data Analyst to support the People Development Operations team by automating reporting, streamlining data processes, and creating ...

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Ami Data Analyst Remote information

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How much do ami data analyst remote jobs pay per year?

As of Jul 22, 2026, the average yearly pay for ami data analyst remote in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst, and why are they important?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, problem-solving abilities, and self-motivation are essential soft skills for remote collaboration and effective reporting. These skills and qualities are crucial for extracting actionable insights, ensuring data accuracy, and delivering impactful results while working independently.

How does a remote AMI Data Analyst typically collaborate with cross-functional teams to support data-driven decisions?

As a remote AMI Data Analyst, you'll frequently work with engineering, IT, and business teams to interpret Advanced Metering Infrastructure (AMI) data and translate it into actionable insights. Collaboration often happens through virtual meetings, shared dashboards, and project management tools, ensuring seamless communication despite physical distance. You'll be responsible for providing data reports, troubleshooting data discrepancies, and recommending process improvements, all while coordinating closely with colleagues to address operational and strategic objectives. Strong communication and proactive engagement are key to overcoming the challenges of remote teamwork and delivering high-impact analytical solutions.

What is an Ami Data Analyst (Remote)?

An Ami Data Analyst (Remote) is a professional who analyzes and interprets data for Ami, a company or platform, while working from a remote location. Their main responsibilities include collecting, cleaning, and evaluating data to help the organization make informed decisions. They may also create reports, dashboards, and visualizations to communicate findings to stakeholders. Working remotely, these analysts use various data analysis tools and collaborate virtually with team members. This role requires strong analytical skills, attention to detail, and proficiency in data software.
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Ami Data Analyst Remote jobs near you
Infographic showing various Ami Data Analyst Remote job openings in the United States as of July 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Lead Quality Data Analyst - Remote

Lead Quality Data Analyst - Remote

EmblemHealth

New York, NY • On-site, Remote

$77K - $149K/yr

Full-time

Posted 10 days ago

EmblemHealth rating

9.4

Company rating: 9.4 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

9th of 281 rated insurance

Job description

Summary of Job
Lead and develop meaningful insights, actionable analytics and applicable plans and /or corrective actions through appropriate advanced statistical and/or modeling analyses. Incorporate diverse data sources across internal and external platforms to continuously improve the plan's healthcare qualitymetric performance (HEDIS/QARR/Star/Accreditation) to drive quality improvement initiatives/projects. Identify improvement opportunities and provide guidance for needed changes. Provide support in the satisfaction of internal and external requirements in support of EmblemHealth's HEDIS/QARR metric improvement and reporting responsibility. Prepare and present analytical dashboards and data to key stakeholders to support strategic decision making.
Responsibilities
  • Lead the development of complex and/or advanced statistical/modeling analyses of quality metrics for Medicare, State Sponsored Programs, and other populations.
  • Develop and maintain quality dashboards and measure profiles utilizing data visualization tools.
  • Analyze monthly rate reports and stratify data to identify statistically significant trends.
  • Perform monthly rate/impact /trending analysis and recommend corrective actions to meet quality targets.
  • Conduct evaluation studies and root-cause analyses to identify improvement area(s) and understanding of the marketplace. Evaluate program effectiveness for complex quality improvement projects. Provide analytical and evaluation guidance to internal department for simple projects.
  • Generate population or targeted profiles with frequency, categorical, and spatial analyses.
  • Perform exploratory and in-depth data analyses for assigned measure/population and develop complex predictive models utilizing independent variables and programming language.
  • Develop customized models and scenario analyses to monitor and review projected measure scores/incentive results through the year. Lead and take corrective actions to meet established goals and/or overall quality metric goals.
  • Create, design, and implement new analytics tools and visualizations to supplement and support decision-making for departmental activities.
  • Identify data improvement opportunities through review of HEDIS/QARR/Star reports and data outputs and detecting data acquisition, capture, and system error issues.
  • Maintain up-to-date knowledge and understanding of HEDIS/QARR/Star measure technical specifications.
  • Support quality specific interoperability efforts.
  • Support quality specific regulatory needs.
  • Collaborate with internal quality management teams to assist on quality improvement initiatives.
  • Provide analytical and technical support for design, development and maintenance of quality improvement and wellness initiatives.
  • Develop additional elements to prepare plan-specific and provider-specific reports/information related to quality, services, and other areas.

Qualifications
  • Bachelor's Degree in analytical/quantitative field including healthcare management, finance, business, mathematics, engineering, applied stats/economics, or any other related fields.
  • Master's Degree (Preferred)
  • 5 - 8+ years of relevant, professional work experience (Required)
  • 5+ years of experience in any analytical field (Required)
  • 3+ years of managed care/healthcare experience (Preferred)
  • Proficient in Microsoft Office - Word, PowerPoint, Excel, Access ( (Required)
  • Advanced experience with relational database applications - SAS, R, SQL, or others (Required)
  • Experience with improving/automating processes using programming languages/software - Python, VBA, R, SAS, C++, etc. (Required)
  • Experience with and proficient in statistical software/programs - SAS, R, Stata, Minitab or others (Required)
  • Experience with and proficient in data visualization tools - Power BI, Tableau (Required))
  • Knowledge of HEDIS & QARR reporting processes and Medicare Stars (Preferred)
  • Strong communication skills - verbal, written, presentation, interpersonal (Required)

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