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Financial Systems Senior Data Analyst

Hklaw Open
Tampa Full-time Senior Data Analysis & BI

At a glance

Senior Data Analysis & BI role at Hklaw. Tampa · full-time · no salary stated · we estimate $112,500–$164,000 across the United States.

Estimated pay

Hklaw has not published a salary for this role. The figure below is our estimate, not theirs.

$112,500 – $164,000
What the middle half of senior data analysis & BI roles in the United States paid, among postings that did state a salary.
Worked out from 758 postings that stated pay, median $137,300. Last updated Nov 13, 2026.
RoleData Analysis & BI
SenioritySenior
LocationTampa
EmploymentFull-time
PostedOct 15, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Map how financial data moves across systems, integrations, and reporting platforms, then keep the related lineage and definitions current
  • Maintain the financial systems data catalog, including ownership, classifications, metadata, and data relationships
  • Plan and run testing for system changes, covering validation, integration, regression, reconciliation, and quality checks
  • Investigate test failures, record defects, verify fixes, and confirm systems are ready for production
  • Bring business and technical stakeholders together to resolve data inconsistencies and record agreed decisions

What you bring

  • A bachelor’s degree in data analytics, information systems, computer science, or another listed field
  • At least five years working in data analysis, financial systems, business intelligence, reporting, or data governance
  • Advanced Excel skills, including formulas, lookups, pivot tables, data checks, reconciliations, and structured reporting
  • Experience building data models, process flows, system diagrams, source-to-target mappings, and technical specifications

Who this fits

This senior role suits you if you can explain financial and technical data concepts to both specialist and non-specialist audiences. You’ll work with Finance, Technology, application owners, project teams, and vendors, and are expected to stay engaged during business hours on a regular schedule. Extended sitting or standing and moderate or advanced keyboard use are part of the role.

From the employer

We are a Firm where people truly believe in what they do and strive to achieve the highest standards of performance and success.

General Description:

The Financial Systems Senior Data Analyst supports Financial Systems Technology (FST) by developing and maintaining the data framework for the firm’s financial systems, integrations, databases, and reporting platforms. This role documents data flows, business rules, system relationships, mappings, lineage, metadata, and data quality standards to ensure financial information is accurate, consistent, accessible, and reliable.


The position partners with Finance, Technology, application owners, project teams, and vendors to analyze financial data, resolve data issues, define shared standards, and support system implementations and modernization efforts.

Key Responsibilities and Essential Job Functions:

  • Document end-to-end data flows across financial systems, integrations, and reporting platforms.
  • Maintain data lineage, mappings, dictionaries, metadata, business rules, relationships, and process flows.
  • Maintain the FST data catalog, including definitions, metadata, ownership, classifications, and lineage.
  • Support implementations, upgrades, integrations, migrations, reporting changes, and modernization efforts.
  • Develop test strategies, scenarios, acceptance criteria, reconciliation plans, and expected results.
  • Execute validation, integration, regression, reconciliation, and QA testing.
  • Document defects, analyze failures, validate fixes, and confirm production readiness.
  • Facilitate workshops to resolve inconsistencies, document decisions, and align business and technical stakeholders.
  • Expected to maintain a regular and predictable work schedule and full attention to and engagement in work activities on behalf of the firm during business hours unless otherwise approved or required by applicable law.
  • Special projects and duties as assigned.

Key Capabilities:

  • Ability to explain complex financial, data, and technical concepts to both technical and nontechnical audiences.
  • Advanced proficiency with Microsoft Excel, including formulas, lookup functions, pivot tables, data validation, reconciliation, and structured reporting.
  • Experience with Power BI, Power BI Report Server, SSRS, or comparable reporting and visualization platforms to support reporting and visualizations.
  • Experience creating data models, process flows, system relationship diagrams, source-to-target mappings, and technical specifications.
  • Working knowledge of ETL processes, APIs, interfaces, integrations, scheduled processes, and file-based data exchanges.
  • Experience using SharePoint, ServiceNow, Azure DevOps, Jira, or comparable documentation, service management, or work-tracking platforms.

Required Qualifications & Education:

  • Bachelor’s degree in Data Analytics, Information Systems, Computer Science, Finance, Accounting, Business Administration, or a related field.
  • 5+ years of relevant experience in data analysis, financial systems, business intelligence, reporting, or data governance; an equivalent combination of education, specialized training, certifications, and professional experience may be considered.

Preferred Qualifications & Education:

  • Microsoft certification in Power BI Data Analytics, Fabric, Azure Data, SQL, or related data technologies.
  • Relevant certification in data quality, metadata management, database technologies, financial systems, or business intelligence.
  • Experience supporting financial system implementations, integrations, upgrades, data migrations, conversions, or reporting transformations preferred.
  • Experience within a law firm, professional services organization, financial services company, or similarly controlled business environment preferred.

Physical Requirements:

  • Ability to sit or stand for extended periods of time.
  • Moderate or advanced keyboard usage.

Benefits: Our goal is to promote a work environment in which individuals have access to the resources they need to be their best both professionally and personally, which includes resources that encourage individuals to focus on their health and well-being.

Below are the benefits we offer: comprehensive medical (PPO and HDHPs), dental and vision plans including coverage for domestic partners; life and AD&D insurance; short and long term disability insurance; tax-advantaged accounts for health care expenses, including FSAs and HSAs; FSAs for dependent care; health advocacy services; behavioral health and counseling resources for all family members; 401(k); profit sharing; backup dependent care; senior care planning support; resources for individuals with development disabilities and their caregivers; and paid holidays and other paid time off, including paid leave for new parents.

Holland & Knight is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth or related conditions, transgender status, and sexual orientation), national origin, age, disability, genetic information, veteran status or any other factor prohibited by law.

Applicants who are interested in applying for a position and require an accommodation during the process should contact ApplicantAccommodations@hklaw.com.

Personal Information collected from applicants will be used for the purpose of processing the application throughout any recruitment or employment process, as well as inclusion in a personnel file. Categories of data collected may include name, address, phone numbers, email, Social Security Number, and signature. Holland & Knight may collect further information if you consent to a background check. This includes criminal background, employment, and certifications. Please visit Legal Information Portal for Holland & Knight LLP’s privacy policies.

Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Analysis & BI

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.