Data Analyst

Cenacle Leadership Group

. Analyze operational, product, and financial data to identify trends, patterns, and opportunities for improvement .

Posted 9/24/2026full-timeRemote • Texas • United StatesMid-LevelSenior💰 $40 - $50 per hourWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong analytical capabilities with proficiency in SQL, Excel, and Python to analyze operational and financial data. Skilled in developing dashboards and reports while collaborating with cross-functional teams to enhance business processes and data quality.

Highest-signal resume keywords

SQL ProficiencyPython ProgrammingDashboard DevelopmentAI Tool IntegrationData Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisSQLPythonExcelDashboard DevelopmentReporting SolutionsAI ToolsData Quality ImprovementAnalytical FrameworksProcess Improvement

Soft Skills

Communication SkillsOrganizational SkillsProblem-SolvingAttention to DetailCuriosity

Tools & Technologies

LookerTableauOmniModeAI Tools

Industry Keywords

FintechFinancial SystemsFraudRisk ManagementCustomer-Lifecycle Analytics

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Analyze operational, product, and financial data to identify trends, patterns, and opportunities for improvement
Develop dashboards, reports, and monitoring tools that provide visibility into business and system performance
Work with product, engineering, risk, compliance, and operations teams to support new initiatives, workflows, features, and policies
Review and improve processes involving applications, onboarding, transactions, servicing, fraud, rewards, and other stages of the customer lifecycle
Investigate data anomalies, system issues, and partner-related escalations to determine root causes and support corrective actions
Provide analytical support for forecasting, business reviews, strategic planning, and other organizational initiatives
Help improve data quality, documentation, reporting standards, and analytical processes
Manage analytical projects from initial problem definition through analysis, recommendations, and implementation
Communicate findings and recommendations clearly to both technical and non-technical stakeholders

Requirements

What you’ll need

Experience in an analytical, operations, strategy, or data-focused role
Strong proficiency with SQL, Excel/Sheets, and Python
Professional experience using AI tools for analysis, workflow development, automation, or generating business insights
Demonstrated ability to incorporate AI into professional workflows, including prompt development, model evaluation, data preparation, or workflow improvement
Experience working with large datasets and creating reliable dashboards or reporting solutions
Experience with Looker, Tableau, Omni, Mode, or similar reporting and analytics platforms
Strong understanding of business processes, KPIs, and analytical frameworks
Ability to break down complex or ambiguous problems independently and develop structured approaches to solving them
Excellent written and verbal communication skills
Experience collaborating with product, engineering, operations, or other cross-functional teams
Strong organizational skills and the ability to manage multiple priorities while taking ownership of projects
Excellent attention to detail, curiosity, and an interest in building reliable analytical systems and business processes
Experience developing or implementing internal AI tools, automations, or agents
Familiarity with financial systems, reconciliation processes, or data-integrity challenges
Background in fintech, credit or financial systems, fraud, risk, or customer-lifecycle analytics

Benefits

Comp & perks

Health insurance
Dental insurance
Vision insurance
Dependent health coverage
Paid time off
Parental leave
Commuter assistance