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Analytics Assistant Jobs in Philadelphia, PA (NOW HIRING)

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Analytics Assistant information

See Philadelphia, PA salary details

$23.1K

$56.7K

$139.4K

How much do analytics assistant jobs pay per year?

As of Aug 19, 2026, the average yearly pay for analytics assistant in Philadelphia, PA is $56,660.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,711.00 and $65,422.00 per year, depending on experience, location, and employer.

What is an analytics assistant?

Analytics Assistants are professionals who support data analysis tasks within a company or organization. They help collect, organize, and process data, create reports, and assist senior analysts in interpreting information to guide business decisions. Their responsibilities often include using data management tools, preparing presentations, and ensuring data accuracy. Analytics Assistants play a vital role in transforming raw data into actionable insights. This entry-level position is ideal for those looking to start a career in data analytics.

What does an analytics assistant do?

As an Analytics Assistant, your day-to-day tasks often include gathering and cleaning data, creating basic reports, and supporting more senior analysts with research and data visualization. You play a key role in ensuring data accuracy and timely delivery of insights, which helps the team make informed decisions. Collaboration with team members, such as analysts and project managers, is common, especially when preparing presentations or addressing urgent data requests. This role provides a strong foundation in analytics tools and processes, making it ideal for those aiming to advance in data-driven careers.

What are the key skills and qualifications needed to thrive as an analytics assistant?

To thrive as an Analytics Assistant, you need a solid understanding of data analysis, statistics, and proficiency with spreadsheet and database tools, often supported by a degree in mathematics, statistics, or a related field. Familiarity with data visualization software (like Tableau or Power BI), SQL, and Microsoft Excel are typically required, and knowledge of programming languages like Python or R is beneficial. Attention to detail, analytical thinking, and strong communication skills help you interpret data accurately and convey insights effectively to stakeholders. These abilities are crucial for supporting data-driven decision-making and ensuring the accuracy and clarity of analytical reports.

What is the difference between Analytics Assistant vs Data Analyst?

AspectAnalytics AssistantData Analyst
Required CredentialsAssociate's degree or relevant certificationsBachelor's degree in data-related fields, often with certifications
Work EnvironmentSupportive, entry-level roles in offices or remote settingsAnalytical, project-focused roles in various industries
Employer & Industry UsageCommon in marketing, finance, and tech companiesWidely used across industries for data-driven decision making
Search & Comparison IntentUnderstanding entry-level data support rolesAnalyzing differences in data-related job responsibilities

The main difference between an Analytics Assistant and a Data Analyst lies in their experience level, responsibilities, and qualifications. Analytics Assistants typically support data teams with basic tasks and require less advanced education, while Data Analysts handle more complex analysis and decision-making processes. Both roles are essential in data-driven organizations, but they differ in scope and expertise.

What are the most commonly searched types of Analytics jobs in Philadelphia, PA?

The most popular types of Analytics jobs in Philadelphia, PA are:

Sales Operations & Enablement Analyst

ThisWay

Cherry Hill, NJ • On-site

Full-time

Posted 29 days ago


Job description

Our partner is looking for a Sales Operations & Enablement Analyst in Cherry Hill, NJ. This entry-level role is ideal for someone with strong analytical skills, a passion for process improvement, and a desire to support a fast-paced global sales environment. The candidate will contribute to the reporting needs of the global sales team, support ongoing sales operations and enablement efforts, and collaborate with cross-functional stakeholders to drive continuous improvement initiatives as part of the Global Sales Operations team.
Our partner is an equal opportunity employer and considers all qualified applicants for employment without regard to any legally protected characteristic.
Responsibilities
Sales Reporting & Analytics
  • Assist in the development, maintenance, and delivery of sales reports and dashboards to support global sales performance visibility.
  • Monitor key sales metrics and provide accurate, timely reporting to leadership and relevant stakeholders.
  • Collaborate with data teams or system owners to ensure data integrity across reporting platforms (CRM, BI tools, etc.).
  • Identify trends and anomalies in sales data and provide actionable insights to management.

Sales Operations Support
  • Support daily operations including sales process administration, CRM updates, territory alignment, and performance tracking.
  • Participate in CRM cleanup and standardization efforts to improve usability and compliance.
  • Maintain documentation of sales processes, policies, and tools.

Sales Enablement & Continuous Improvement
  • Partner with Sales Enablement, sales leaders, and cross-functional teams to gather feedback on tools, processes, and training effectiveness.
  • Analyze stakeholder input to identify pain points and areas for improvement within the sales cycle and related workflows.

Requirements
Required Skills & Abilities:
  • Proficiency with data analytics and visualization tools (Excel, Power BI); SQL experience a plus.
  • Able to prioritize and stay organized in a highly active work environment.
  • Excellent communication and collaboration skills, with a proactive and curious mindset.
  • Ability to manage multiple tasks and projects in a fast-paced environment.
  • Detail-oriented with a commitment to accuracy and continuous learning.

Education/Experience:
  • Bachelor's degree in Business, Mathematics, Analytics, or a related field.
  • Preferred: Internship or academic experience in sales, operations, analytics, or customer success.

Physical Requirements:
  • Ability to operate standard office equipment such as a copier.
  • Ability to sit at a desk or PC for extended periods.
  • Ability to work in an office setting.