1

Assistant Financial Data Analyst Jobs (NOW HIRING)

Role Overview As a Senior Financial Data Analyst, you will transform financial and operational data into insights that support planning, performance management, and business decision-making. You will ...

MDAEdge is seeking a business-savvy Power BI Financial Data Analyst with expertise in Power BI and SQL. The role involves building executive-ready dashboards, designing SQL-driven data pipelines, and ...

Finance Data Analyst

Chicago, IL · On-site

$86K - $133K/yr

This role translates financial and operational needs into actionable data solutions, supports data ... Mentor Analyst I and II team members * Proactively identify data gaps, risks, and improvement ...

Showing results 21-40

Assistant Financial Data Analyst information

See salary details

$35K

$85.5K

$142K

How much do assistant financial data analyst jobs pay per year?

As of Sep 13, 2026, the average yearly pay for assistant financial data analyst in the United States is $85,459.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $100,500.00 per year, depending on experience, location, and employer.

What does an assistant financial data analyst do?

An Assistant Financial Data Analyst supports senior analysts and finance teams by gathering, organizing, and analyzing financial data. They help prepare reports, identify trends, and provide insights that assist in decision-making for budgeting, forecasting, and strategic planning. Their role often involves working with spreadsheets, databases, and financial software to ensure data accuracy. They may also contribute to the development of financial models and assist in maintaining compliance with financial regulations.

What are some typical challenges that assistant financial data analysts face in their day-to-day work?

Assistant Financial Data Analysts often encounter challenges such as managing large datasets with tight deadlines, ensuring data accuracy, and adapting to evolving financial software tools. They frequently collaborate with senior analysts and cross-functional teams, which requires strong communication skills to clearly present findings and insights. Staying organized and detail-oriented is crucial, as even small errors in data analysis can impact important financial decisions.

What are the key skills and qualifications needed to thrive as an assistant financial data analyst, and why are they important?

To thrive as an Assistant Financial Data Analyst, you need a solid grounding in finance, statistics, and data analysis, often supported by a bachelor's degree in finance, economics, or a related field. Familiarity with tools like Microsoft Excel, SQL, and financial analysis software, as well as certifications such as CFA Level I or related credentials, is highly advantageous. Strong attention to detail, effective communication, and problem-solving abilities help you excel in interpreting data and presenting insights. These skills and qualities are crucial for ensuring accurate financial reporting and supporting sound business decision-making.

What is the difference between Assistant Financial Data Analyst vs Financial Data Analyst?

AspectAssistant Financial Data AnalystFinancial Data Analyst
Required CredentialsBachelor's degree in finance, accounting, or related field; some certifications preferredBachelor's or master's degree; certifications like CFA or CPA advantageous
Work EnvironmentSupportive team, entry-level position, collaborativeMore independent, analytical focus, project-driven
Employer & Industry UsageFinancial firms, banks, corporate finance departmentsSame as assistant role, often with more responsibility
Common Search & Comparison IntentYesYes

The Assistant Financial Data Analyst typically supports senior analysts with data collection and basic analysis, requiring less experience. The Financial Data Analyst handles more complex data analysis, interpretation, and reporting, often with greater responsibility. Both roles are common in finance and corporate sectors, with the assistant position serving as an entry point for career growth into financial analysis.

What cities are hiring for Assistant Financial Data Analyst jobs?

Cities with the most Assistant Financial Data Analyst job openings:

What are the most commonly searched types of Financial Data Analyst jobs?

The most popular types of Financial Data Analyst jobs are:

What states have the most Assistant Financial Data Analyst jobs?

States with the most job openings for Assistant Financial Data Analyst jobs include:

What are popular job titles related to Assistant Financial Data Analyst jobs?

For Assistant Financial Data Analyst jobs, the most frequently searched job titles are:

Senior Financial Data Analyst

Alpharetta, GA • On-site

PDI Technologies
Software Development • 501 - 1,000 employees

Other

Posted 10 days ago


PDI Technologies rating

7.8

Company rating: 7.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

At PDI Technologies, we empower some of the world's leading convenience retail and petroleum brands with cutting-edge technology solutions that drive growth and operational efficiency.

By “Connecting Convenience” across the globe, we empower businesses to increase productivity, make more informed decisions, and engage faster with customers through loyalty programs, shopper insights, and unmatched real‑time market intelligence via mobile applications, such as GasBuddy. We’re a global team committed to excellence, collaboration, and driving real impact. Explore our opportunities and become part of a company that values diversity, integrity, and growth.

Role Overview

As a Senior Financial Data Analyst, you will transform financial and operational data into insights that support planning, performance management, and business decision‑making. You will develop and maintain reporting, dashboards, data models, and automated analytics solutions that improve visibility into business performance and increase the efficiency of Finance processes. Working cross‑functionally, you will translate complex business questions into data‑driven analyses, identify trends and opportunities, and leverage automation and AI‑enabled tools to strengthen reporting, forecasting, and financial insights.

Key Responsibilities
  • Analyze complex financial and operational data to identify trends, patterns, risks, and opportunities that support business and financial decision‑making.
  • Develop and maintain dashboards, reports, and analytics solutions that provide clear visibility into financial and operational performance.
  • Partner with Finance and business stakeholders to understand reporting and analytical needs and translate them into scalable data and reporting solutions.
  • Build and maintain data models, reporting logic, business rules, and data definitions that support consistent and reliable financial analysis.
  • Automate recurring reporting and analytical processes to improve efficiency, accuracy, and scalability across Finance.
  • Perform data validation, reconciliation, and quality analysis to ensure financial reporting is accurate, complete, and consistent across systems.
  • Develop ad hoc analyses, forecasts, and scenario‑based insights to support financial planning, performance reviews, and business decisions.
  • Translate complex financial and operational data into clear, compelling insights and recommendations for leadership and business stakeholders.
  • Identify and implement opportunities to improve Finance data, reporting processes, tools, and workflows.
  • Leverage AI‑enabled tools and automation to accelerate analysis, improve reporting efficiency, identify trends, and enhance financial insights.
  • Evaluate emerging AI, analytics, and automation capabilities and identify practical opportunities to apply them within Finance.
  • Maintain documentation for key reports, metrics, data definitions, business rules, and analytical processes.
Qualifications
  • Bachelor’s degree in Finance, Accounting, Economics, Data Analytics, Business, Information Systems, or a related field, or equivalent practical experience.
  • 3+ years of experience in data analytics, financial analytics, business intelligence, FP&A analytics, or a related discipline.
  • Strong experience analyzing complex financial and operational data and translating findings into actionable business insights.
  • Experience developing dashboards, reporting solutions, and automated analytics using business intelligence and data visualization tools.
  • Strong proficiency in Microsoft Excel and experience with SQL and data visualization or business intelligence tools.
  • Experience working with financial and operational data with an understanding of key financial metrics and business performance drivers.
  • Experience with data modeling, data definitions, business rules, data validation, and reporting governance.
  • Demonstrated ability to improve reporting and analytical processes through automation and process improvement.
  • Familiarity with AI‑enabled analytics, automation, or emerging technologies used to improve reporting, forecasting, and decision support.
  • Strong analytical and problem‑solving skills with the ability to independently work through complex data and business questions.
  • Strong communication and data storytelling skills with the ability to present complex information clearly to business stakeholders.
  • Ability to independently manage complex work and multiple priorities with minimal supervision.
  • Applicants must be legally authorized to work in the United States without the need for employer sponsorship, now or in the future. PDI Technologies is unable to offer visa sponsorship for this role.
Behavioral Competencies
  • Business Insight
  • Manages Complexity
  • Decision Quality
  • Tech Savvy
  • Drives Results

PDI is committed to offering a well‑rounded benefits program, designed to support and care for you, and your family throughout your life and career. This includes a competitive salary, market‑competitive benefits, and a quarterly perks program. We encourage a good work‑life balance with ample time off [time away] and, where appropriate, hybrid working arrangements. Employees have access to continuous learning, professional certifications, and leadership development opportunities. Our global culture fosters diversity, inclusion, and values authenticity, trust, curiosity, and diversity of thought, ensuring a supportive environment for all.

#J-18808-Ljbffr

What PDI Technologies employees say

Hours and flexibility

Workplace

Get the full story on Breakroom