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Analytics Assistant Jobs in Silver Spring, MD (NOW HIRING)

Campbell & Company, LP

Operations Analyst

Baltimore, MD · On-site

Reporting and Analytics Assist in developing metrics and reports to measure the performance of vendors and internal operational efficiencies using Panopticon and other means as necessary. Liaise with ...

CYNET SYSTEMS

Pre-Analytical Assistant I

Baltimore, MD · On-site

$15 - $20/hr

Demonstrates an ability to learn the job duties assigned to the Pre-Analytical Assistant I and develops an understanding of how all the functions in Tech Ops and Specimen Processing work together and ...

Ardent

Cybersecurity Analytics Lead

Washington, DC · On-site

Perform log analysis, data correlation, and investigation of cybersecurity or fraud-related events. * Assist with development of analytical reports, briefings, and operational documentation.

CGI Inc.

Budget Specialist

Washington, DC · On-site

$35.64/hr

Mission Modeling and Analytics: . Assist in developing cost estimation and scenario planning tools to project financial requirements and budgetary implications. . Enhance risk analysis during the ...

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All JobsAnalytics JobsAnalytics Assistant JobsAnalytics Assistant Jobs in Silver Spring, MD

Analytics Assistant information

See Silver Spring, MD salary details

$23.5K

$57.6K

$141.6K

How much do analytics assistant jobs pay per year?

As of Jul 15, 2026, the average yearly pay for analytics assistant in Silver Spring, MD is $57,570.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,237.00 and $66,474.00 per year, depending on experience, location, and employer.

What are Analytics Assistants?

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 are the typical daily responsibilities of an Analytics Assistant and how do they contribute to team projects?

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 does an assistant analyst do?

An assistant analyst supports data analysis tasks by collecting, organizing, and preparing data for review. They often use tools like Excel or statistical software, assist in generating reports, and help interpret data insights under the supervision of senior analysts.

What jobs make $1,000,000 a year?

In the field of analytics, high-paying roles such as Chief Data Officer, Data Science Director, or senior executive positions in large corporations can reach or exceed $1,000,000 annually, especially with bonuses and stock options. These roles typically require extensive experience, advanced skills in data management and analytics tools, and often involve leadership responsibilities. Most roles at this level are found in large organizations or consulting firms with significant revenue and data assets.

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.

Can I be a data analyst with no experience?

Yes, entry-level data analyst positions often do not require prior experience if candidates have relevant skills such as proficiency in Excel, SQL, or data visualization tools, and a strong understanding of basic statistical concepts. Gaining certifications or completing online courses can also improve your chances of starting in this role.

What are the key skills and qualifications needed to thrive as an Analytics Assistant, and why are they important?

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.

Is 40 too late for data science?

For an Analytics Assistant or similar data-related roles, starting a career in data science at age 40 is possible. Many professionals transition into data science later in life by acquiring relevant skills such as programming, statistics, and tools like Python or R, often through online courses or certifications. Age is less important than skills, experience, and continuous learning in the field.
What are the most commonly searched types of Analytics jobs in Silver Spring, MD? The most popular types of Analytics jobs in Silver Spring, MD are:
What are popular job titles related to Analytics Assistant jobs in Silver Spring, MD? For Analytics Assistant jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Analytics Assistant jobs in Silver Spring, MD look for? The top searched job categories for Analytics Assistant jobs in Silver Spring, MD are:
Analytics Assistant jobs near you
Operations Analyst

Operations Analyst

Campbell & Company, LP

Baltimore, MD • On-site

Full-time

Posted 14 days ago

Job description

Awarded in 2024 as “Best Place to Work in Money Management” by Pensions & Investments,

“Best Companies to Work for in Maryland” by Daily Record,

and recognized by Best Companies Group and COLOR Magazine as an “Inclusive Workplace”

Hybrid position | Located in Baltimore, MD

The Operations Department is responsible for auditing the firm’s trading. The Analyst’s primary duties include the exercise of discretion and independent judgment with respect to matters of significance to the Company, including representing the department with internal stakeholders across the organization and serving as a daily liaison with external parties, which includes, but is not limited to executing brokers, clearing brokers, transfer agents, selling firm back-offices, financial advisors, clients, and vendors.

The Operations Analyst joins the Operations Team and will report to the Manager of Operations.

ALL APPLICATIONS MUST INCLUDE A COPY OF THE CANDIDATE'S MOST RECENT (UNOFFICIAL) TRANSCRIPT.

Principal Responsibilities:

Trade Operations

Daily monitoring of Campbell’s third-party trade matching services, for any execution discrepancies between Campbell’s execution system, and the various executing banks on trade date.

Liaise with various vendors to resolve trade breaks and discrepancies.

Reconcile Campbell’s trading history from the previous day from both a transaction and total holdings basis for all accounts.

Assist with the coordination of various internal and external stakeholders for information or documentation in order to meet account launch deadlines.

Use external stakeholder systems, products or industry knowledge to onboard new markets and asset classes as necessary.

Support research and trading needs through the facilitation of model testing, trading related changes, and production system support, resolving after-hours production system issues when necessary.

Process Improvement/Departmental Projects

Assess and enhance the operational workflows and related processes through a continual gap analysis against industry benchmarks and trends.

Work with staff, managers and IT resources to optimize departmental workflows as it relates to operational applications.

Develop procedures and test cases by translating system workflows into documentation. Test execution and document results.

Work on or lead department-level and firm-level projects relating to operations.

Reporting and Analytics

Assist in developing metrics and reports to measure the performance of vendors and internal operational efficiencies using Panopticon and other means as necessary.

Liaise with Trading, Market Data, and Compliance teams to identify opportunities to enhance existing reports and data sets.

Assist with reporting requests related to regulatory compliance or portfolio reconciliations.

Decision Making Authority

Apply judgement over the changes and updates of the trading system and its related ecosystem.

Exhibit good judgment in resolving or escalating operational issues and production system issues.

Process, analyze and problem solve detailed trade data.

Analyze and identify potential issues, contact appropriate personnel, and speak out and raise concerns when logs or details appear inaccurate or suspicious.

Bachelor’s Degree with emphasis in business, technology, or finance with 1-year of experience in financial services or trading middle/back-office operations

Strong verbal and written communication skills

Excellent problem solving, conceptual thinking, analytical and interpersonal skills

Extremely detail oriented and organized

Intermediate to Advanced proficiency with Excel (VLOOKUP, pivot tables, macros)

Intermediate Outlook (email prioritization and organization, building rules, advanced search, folder management)

Basic proficiency in Word and PowerPoint

Ability to handle multiple tasks in a fast paced and continuously changing, open floor, and hybrid work environment

Strong time management skills allowing oneself to work on multiple projects simultaneously

Self-motivated team player with a strong work ethic

Experience with process improvement

Ability to interact with all levels of the company

Ability to work additional hours as needed beyond standard work hours

Apply