2

Remote Amazon Data Analyst Jobs in Rochester, NY

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

This role is based in United State and is a remote position. You will be part of a collaborative ... Analyze process and laboratory data to identify improvement opportunities and make recommendations

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Showing results 41-60

Remote Amazon Data Analyst information

See Rochester, NY salary details

$33.5K

$81.5K

$134.2K

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

As of Aug 8, 2026, the average yearly pay for remote amazon data analyst in Rochester, NY is $81,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What are some common challenges faced by remote Amazon data analysts, and how can they be addressed?

Remote Amazon Data Analysts often face challenges related to collaborating across different time zones and accessing proprietary data securely. Staying aligned with cross-functional teams—such as marketing, supply chain, and product management—requires effective communication and proactive updates. Utilizing project management tools, scheduling regular virtual meetings, and maintaining thorough documentation can help bridge these gaps. Additionally, understanding Amazon's unique data structures and tools is essential for accurate analysis and reporting.

What does a remote Amazon data analyst do?

A Remote Amazon Data Analyst is responsible for collecting, analyzing, and interpreting data related to Amazon's sales, customer behavior, and marketplace trends. They use various tools and software to generate reports and insights that help businesses optimize their Amazon strategies. Working remotely, they collaborate with teams to identify growth opportunities, monitor performance metrics, and support decision-making. Their work often involves using Excel, SQL, and data visualization platforms to turn raw data into actionable insights.

What are the key skills and qualifications needed to thrive as a remote Amazon data analyst?

To thrive as a Remote Amazon Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a background in statistics or a related field, often supported by a relevant degree. Familiarity with tools such as SQL, Excel, Python, and Amazon analytics platforms like AWS QuickSight is typically required, along with experience in data visualization and reporting. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for collaborating across teams and presenting insights. These competencies are crucial for driving data-driven decisions that optimize business performance and support Amazon’s operational goals.
What are popular job titles related to Remote Amazon Data Analyst jobs in Rochester, NY? For Remote Amazon Data Analyst jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Data Analyst jobs in Rochester, NY look for? The top searched job categories for Remote Amazon Data Analyst jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Remote Amazon Data Analyst jobs? Cities near Rochester, NY with the most Remote Amazon Data Analyst job openings:

Business Development Executive (Remote - US Based)

Sutherland

Rochester, NY • On-site, Remote

Full-time

Re-posted 22 days ago


Job description

Company Description
Artificial Intelligence. Automation. Cloud Engineering. Advanced Analytics.
For Enterprises, these are key factors of success. For us, they're our core expertise.
We work with global iconic brands. We bring them a unique value proposition through market-leading technologies and business process excellence. At the heart of it all is Digital Engineering - the foundation that powers rapid innovation and scalable business transformation.
We've created 363 unique and independent inventions, 250 of which are AI-based and rolled up under several patent grants in critical technologies. Leveraging our advanced products and platforms, we drive digital transformation at scale, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless "as-a-service" model.
For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. With proven strategies and agile execution, we don't just enable change - we engineer digital outcomes.
Sutherland
Digital Outcomes.
Job Description
The Business Development Executive will play a pivotal role in generating pipeline opportunities, qualifying leads, and supporting deal progression within the Business Development (BD) function. Working in close collaboration with marketing, solution teams, and delivery leadership, this role requires a deep understanding of digital customer experience (CX), AI-driven solutions, data analytics, and omnichannel engagement strategies. The executive will leverage market insights, predictive analytics, and customer intelligence to build compelling, data-supported value propositions that drive business impact for clients.
KEY RESPONSIBILITIES:
  • Lead Generation & Qualification: Source and qualify new leads through inbound, outbound, event-driven, and prospecting.
  • Pipeline Management: Build and manage a healthy, balanced, full-funnel sales pipeline across all Sutherland services, ensuring consistent movement of opportunities from prospecting to closure.
  • Consultative Solution Selling: Position Sutherland's digital-first, AI-enabled solutions effectively by understanding client pain points, business needs, and operational challenges.
  • Data-Driven Storytelling: Leverage customer, operational, and market data to present clear, business-impacting value propositions.
  • Client Engagement: Initiate and support executive-level conversations with prospective clients, including CxOs, to influence digital transformation agendas.
  • Market & Competitive Intelligence: Stay ahead of industry trends, competitive movements, and emerging technology innovations to inform sales strategies.
  • Collaboration: Partner with marketing, tech, and delivery teams to align go-to-market (GTM) efforts and craft tailored solutions.
  • Operational Excellence: Track and optimize key KPIs including sales cycle length, proposal-to-win ratios, and conversion rates.

Qualifications
A. Education & Experience
  • Bachelor's or master's degree in business, Data Science, Technology, or related field.
  • Prior experience in a B2B, technology-driven consulting, inside sales, or digital transformation sales environment.
  • Familiarity with BPO, IT services, or enterprise solutions preferred.

B. Critical Competencies
  • Digital & Technology Acumen: Deep understanding of AI, automation, cloud, SaaS, and digital CX platforms.
  • Data-Driven Decision Making: Strong analytical skills with the ability to translate data insights into sales strategies.
  • Consultative Selling & Business Case Development: Ability to develop compelling ROI models and business-impact cases.
  • Market Intelligence: Awareness of industry disruptions, competitor strategies, and digital trends.
  • Customer-Centric Approach: Proficient in customer journey mapping, VoC analysis, and personalization tactics.
  • Agility & Adaptability: Thrive in fast-paced, evolving environments; able to pivot strategies quickly.
  • Stakeholder Management: Capable of building executive-level relationships and driving cross-functional collaboration.
  • Communication & Storytelling: Exceptional skills in presenting data-supported narratives and influencing decision-makers.

Key Result Areas (KRAs):
Measure of Success
  • Pipeline Growth & Health;
    • Growth in qualified opportunities across all services
  • Revenue Generation;
    • New revenue from digital transformation deals, ACV/TCV targets
  • Lead Conversion Rates;
    • Qualified leads, lead-to-opportunity, and opportunity-to-close conversion rates
  • Consultative Sales Impact;
    • Number of consultative engagements and business cases developed
  • CxO-Level Engagements;
    • Number of strategic, executive-level conversations initiated
  • Market Positioning & Thought Leadership;
    • Participation in industry events, publications, and content contributions
  • Sales Cycle Optimization;
    • Reduction in average deal closure time and dwell time within pipeline stages
  • Operational Efficiency;
    • Proposal-to-win ratio improvements, adherence to pipeline progression KPIs
  • Client Retention & Expansion;
    • Growth in upsell/cross-sell opportunities within existing accounts

Additional Information
EEOC and Veteran Documentation
During employment, employees are treated without regard to race, color, religion, sex, national origin, age, marital or veteran status, medical condition or handicap, or any other legally protected status.
At times, government agencies require periodic reports from employers on the sex, ethnicity, handicap, veteran and other protected status of employees. The purpose of this Administrative EEO Record is for statistical analysis only and is used to comply with government record keeping, reporting, and other legal requirements. Periodic reports are made to the government on the following information. The completion of the Administrative EEO record is optional. If you choose to volunteer the requested information, please note that all
Administrative EEO Records are kept in a Confidential File and are not part of your Application for Employment or Personnel file.
Please note: YOUR COOPERATION IS VOLUNTARY. INCLUSION OR EXCLUSION OF ANY DATA WILL NOT AFFECT ANY EMPLOYMENT DECISION.