2

Remote Data Analytics Intern Jobs in Rochester, NY

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 ...

Apply Early

This role is remote. The Project Control Analyst provides program and project control support ... and data visualization tools - Experience designing and implementing business processes and ...

This role is remote. The Project Control Analyst provides program and project control support ... and data visualization tools - Experience designing and implementing business processes and ...

Analyst, Growth

Geneseo, NY ยท On-site +1

$75K - $85K/yr

Analyze internal and external data to identify trends, risks, and opportunities * Support financial ... Remote, US The EverCommerce team is distributed globally, with teams in the U.S., Canada, the U.K ...

Analyst, Growth

Rochester, NY ยท On-site +1

$75K - $85K/yr

Analyze internal and external data to identify trends, risks, and opportunities * Support financial ... Remote, US The EverCommerce team is distributed globally, with teams in the U.S., Canada, the U.K ...

Revenue Operations Analyst

Rochester, NY ยท On-site +1

$62K - $97K/yr

As Paychex and Paycor come together, we're combining innovative technology, data-driven insights ... Bachelor's Degree in Business Administration, Business Analytics, or equivalent work experience ...

FP&A Manager - AI Trainer

Rochester, NY ยท Remote

$50 - $60/hr

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 ...

Apply Early

next page

Showing results 1-20

Remote Data Analytics Intern information

See Rochester, NY salary details

$11

$22

$41

How much do remote data analytics intern jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for remote data analytics intern in Rochester, NY is $22.20, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $24.18 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Data Analytics Intern, you need foundational knowledge in statistics, data analysis, and proficiency with data manipulation, typically supported by coursework in data science or a related field. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau is often expected. Strong communication, time management, and self-motivation are crucial soft skills for collaborating remotely and delivering results independently. These skills enable effective data-driven insights and ensure productivity in a virtual work environment.

What are some common challenges faced by Remote Data Analytics Interns and how can they overcome them?

Remote Data Analytics Interns often encounter challenges like maintaining clear communication with team members, staying self-motivated, and accessing necessary data or tools. To overcome these, it's important to proactively schedule check-ins with supervisors, utilize collaboration platforms (like Slack or Microsoft Teams), and clarify data access protocols early on. Setting a structured daily routine and keeping detailed notes can also help interns stay organized and productive while working remotely.

What does a Remote Data Analytics Intern do?

A Remote Data Analytics Intern assists companies in collecting, processing, and analyzing data to support business decisions, all while working from a remote location. Their responsibilities often include cleaning datasets, creating reports, visualizing data trends, and sometimes developing predictive models under the guidance of experienced analysts. Interns use tools like Excel, Python, R, or SQL to handle data tasks and may participate in virtual meetings to discuss findings and recommendations. This role helps interns gain practical experience in data analysis, problem-solving, and communication within a professional remote setting.

What is the difference between Remote Data Analytics Intern vs Remote Data Analyst?

AspectRemote Data Analytics InternRemote Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in data science, statistics, or related fieldOften holds a degree and may have some professional experience in data analysis
Work EnvironmentInternship, often part-time or temporary, with mentorship and trainingFull-time or part-time remote role with independent responsibilities
Employer & Industry UsageUsed by companies for entry-level training and talent pipelineUsed by organizations for ongoing data analysis and decision support

The main difference between a Remote Data Analytics Intern and a Remote Data Analyst lies in experience and responsibilities. Interns are typically students or recent graduates gaining practical experience, while Data Analysts are more experienced professionals performing ongoing data analysis tasks. Internships serve as training roles, whereas Data Analysts handle continuous, independent work in data-driven decision-making.

What are the most commonly searched types of Remote Data Analytics jobs in Rochester, NY? The most popular types of Remote Data Analytics jobs in Rochester, NY are:
What are popular job titles related to Remote Data Analytics Intern jobs in Rochester, NY? For Remote Data Analytics Intern jobs in Rochester, NY, the most frequently searched job titles are:
What cities near Rochester, NY are hiring for Remote Data Analytics Intern jobs? Cities near Rochester, NY with the most Remote Data Analytics Intern job openings:
Business Development Executive (Remote - US Based)

Business Development Executive (Remote - US Based)

Sutherland

Rochester, NY โ€ข On-site, Remote

Full-time

Posted 20 days ago


Job description

Company Description
Sutherland seeks a digitally savvy, data driven Business Development Executive to join our Business Development team. This role is critical to expanding Sutherland's market presence by identifying, qualifying, and advancing new business opportunities with a focus on digital transformation services, AI, automation, and analytics solutions. The ideal candidate will combine strategic consultative selling skills, deep digital acumen, and an ability to engage with C-suite stakeholders, ultimately driving revenue growth and enhancing client partnerships in a highly competitive, technology-driven environment.
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.