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Entry Level Financial Data Analyst Jobs in Lexington, KY

Easy Recruiter

Data Analyst

Lexington, KY · On-site

As a Data Analyst in the Finance Data Analytics department, you will be responsible for maintaining, improving, and building new reporting capabilities for cross-functional areas of the business. By ...

Centor

Financial Analyst

Millersburg, KY · On-site

$60 - $80/hr

The analyst collaborates with cross‑functional partners to ensure data integrity, compliance, and consistent financial performance across the organization. This person will be responsible for ...

hosparus

Finance - Project Specialist

Lexington, KY · On-site

Strong understanding of financial statements, budgeting, forecasting, and variance analysis. * Advanced Excel and spreadsheet skills; ability to manipulate, analyze, and present complex data.

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Entry Level Financial Data Analyst information

See Lexington, KY salary details

$30.6K

$74.7K

$124.1K

How much do entry level financial data analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for entry level financial data analyst in Lexington, KY is $74,665.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,500.00 and $87,800.00 per year, depending on experience, location, and employer.

What does an entry level financial data analyst do?

An Entry Level Financial Data Analyst is responsible for collecting, processing, and analyzing financial data to help organizations make informed business decisions. They typically work with large datasets, prepare reports, and use statistical tools to identify trends and patterns. Their work supports budgeting, forecasting, and investment strategies, often under the supervision of senior analysts. This role is a great starting point for those interested in finance and data analysis, providing valuable experience with analytical software and financial modeling.

What are the key skills and qualifications needed to thrive as an entry level financial data analyst?

To thrive as an Entry Level Financial Data Analyst, you generally need strong analytical skills, a solid understanding of finance and statistics, and at least a bachelor's degree in finance, economics, or a related field. Proficiency with Excel, SQL, and data visualization tools like Tableau or Power BI is commonly required, and knowledge of programming languages such as Python or R is advantageous. Attention to detail, problem-solving abilities, and effective communication are essential soft skills that help you interpret data accurately and present findings clearly. These skills and qualities enable analysts to deliver actionable insights, support business decisions, and contribute to the organization’s financial success.

What are typical challenges faced by entry level financial data analysts when transitioning from academic work to professional environments?

Entry-level financial data analysts often encounter challenges such as adjusting to fast-paced environments, working with large and sometimes unstructured datasets, and adhering to strict deadlines. Unlike academic projects, professional analysis frequently requires collaboration with cross-functional teams, which means communicating complex findings to non-technical stakeholders. Additionally, learning to use industry-standard tools and adapting to the company's data reporting processes can take time, but support from managers and team members helps ease this transition.

What is the difference between Entry Level Financial Data Analyst vs Financial Analyst?

AspectEntry Level Financial Data AnalystFinancial Analyst
Required CredentialsBachelor's degree in finance, accounting, or related field; basic Excel and data analysis skillsBachelor's degree; often requires 1-3 years of experience; advanced Excel, financial modeling, and possibly certifications like CFA
Work EnvironmentEntry-level roles in finance departments, data teams, or consulting firms; focus on data collection and reportingMore analytical responsibilities, strategic planning, and decision support in finance departments or investment firms
Employer & Industry UsageCommon in finance, banking, and corporate sectors for entry-level data tasksUsed across finance, investment banking, asset management, and corporate finance for analysis and forecasting

In summary, an Entry Level Financial Data Analyst focuses on data collection and basic analysis with minimal experience, while a Financial Analyst typically has more experience and handles complex financial modeling and strategic analysis.

What are the most commonly searched types of Financial Data Analyst jobs in Lexington, KY?

The most popular types of Financial Data Analyst jobs in Lexington, KY are:

What are popular job titles related to Entry Level Financial Data Analyst jobs in Lexington, KY?

For Entry Level Financial Data Analyst jobs in Lexington, KY, the most frequently searched job titles are:

What job categories do people searching Entry Level Financial Data Analyst jobs in Lexington, KY look for?

The top searched job categories for Entry Level Financial Data Analyst jobs in Lexington, KY are:

What cities near Lexington, KY are hiring for Entry Level Financial Data Analyst jobs?

Cities near Lexington, KY with the most Entry Level Financial Data Analyst job openings:

Entry Level Financial Data Analyst jobs near you

Data Analyst

Easy Recruiter

Lexington, KY • On-site

Full-time

Re-posted 29 days ago

Job description

As a Data Analyst in the Finance Data Analytics department, you will be responsible for maintaining, improving, and building new reporting capabilities for cross-functional areas of the business. By developing a deep understanding of operational processes and needs, you will be responsible for implementing new reporting capabilities and using technology to deliver impactful reports. You will partner with teams in various functional areas of the business to implement process improvements that will streamline the efficiency and accuracy of the reporting process. You will be responsible to delivering daily, weekly, and monthly reports accurately and on time. You will also be involved in ad hoc analysis of large datasets to quickly provide insight into the business.

Functional Support Area: Procurement/Accounts Payable/Accounts Receivable/Support Services

Core Responsibilities

  • Function as an analytics and reporting expert for assigned functions by executing standard reports and, running / maintaining ad hoc queries.
  • Participate in the development of reports, metrics, models, scorecards, and dashboards by gathering data and transforming it into stories and insights that drive business recommendations and decision-making.
  • Publish daily, weekly, and monthly reports accurately and on time
  • Build reports and dashboards in Microsoft Power BI, Analysis for Office, Bex, and other reporting tools
  • Participate in hosted training sessions on how to use the various tools and reports created by the department
  • Generate load files for various systems, maintaining system accuracy
  • Communicate effectively with report stakeholders to ensure strong understanding of the methodology behind all calculations
  • Perform ad hoc analysis using data from various systems and explain results of analysis to all levels of management
  • Create SOPs and maintain documentation for processes
  • Demonstrate continuous efforts to improve processes, increase data integrity, and provide quality customer service to our business partners.
  • Provide comprehensive analytical and fact-based reporting to support and/or identify opportunities to impact operational results, make changes to processes, and support strategic initiatives.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. May perform other duties as assigned.

Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals to perform the essential functions .

  • Bachelor's Degree from a regionally accredited four-year college or university in Accounting/Finance, Computer Science/Data Analytics or related field and 2+ years of relevant work experience or equivalent combination of education and/or experience, required.
  • Ability to build models using advanced features of Excel.
  • Experience with Power BI / Tableau, Power Pivot, SAP, SAP Analysis for Office, BPC, Bex Query Designer.
  • Experience in analyzing data within relational database systems such as MS Access, MS SQL Server, and MySQL.
  • Experience with ETL Tools such as Alteryx, Paxata, DataGuru or equivalent technologies, preferred.
  • Understanding of Windows environment command line tools, .BAT files, and Task Scheduler, preferred.
  • Experience with HTML/CSS/Javascript and a backend technology like python-flask, preferred.
  • Experience with Data analysis in Python using Pandas/Numpy/Jupyter Notebooks, preferred.
  • Ability to quickly learn new technology and business logic.
  • Superior analytical and problem-solving skills with superb attention to detail.
  • Strong written and verbal communication skills.
  • Ability to work independently in a fast-paced and rapidly changing and ambiguous environment.
  • Ability to work well with others in fast paced, dynamic environment.
  • Ability to be respectful, approachable and team oriented while building strong working relationships and a positive work environment.
  • Up to 10% travel required.

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