Lead Analyst, Insights & Analytics – Collections

Jobtailor; Cincinnati (OH); Hybrid; USD 85,000 - 110,000; Full time

Job summary

Jobtailor is seeking a Senior Data Analyst to lead data analysis and reporting across the organization in Cincinnati, OH. You will build metrics, KPIs, and actionable insights, guiding strategic decisions. The role requires collaboration with cross-functional teams and coaching of junior staff to elevate data capabilities.

The ideal candidate brings extensive experience with SAS, SQL, R, Python, Tableau, Excel, and Power BI, plus a strong background in banking or financial services metrics.

Qualifications

• Bachelor's degree in Computer Science, MIS, Business Analytics, Statistics, Mathematics, Economics, Engineering, Finance, or related field, or equivalent experience
• Typically, minimum 6 years in banking, financial services, or similar background
• Typically, minimum 6 years data analytics experience
• Advanced in data analytics tools, languages, and methodologies such as SAS, SQL, R, Python, Tableau, Excel, or Power BI
• Can write complex SQL queries against a variety of data sources and perform advanced data discovery.
• Comprehensive understanding of collections metrics, reporting standards, and reporting experience strongly preferred

Responsibilities

• Leads in the analysis of data activities and engagement across the assigned organization
• Responsible for developing reporting, analytics, metrics and key performance indicators
• Provide in-depth analysis and recommendations for improving/enhancing line of business performance
• Assist in leading the education and development of less experienced staff
• Collaborates with cross-functional teams and provides data-driven insights
• Responsible for manipulating large data files and transforming the data into business information that helps fulfill strategic objectives
• Provides feedback and coaching to other data analysts

Skills

Data analytics experience

SQL proficiency

SAS

R

Python

Tableau

Excel

Power BI

Education

Bachelor's degree in a related field

Tools

SAS

SQL

R

Python

Tableau

Excel

Power BI

Job description

• Leads in the analysis of data activities and engagement across the assigned organization


• Responsible for developing reporting, analytics, metrics and key performance indicators


• Provide in-depth analysis and recommendations for improving/enhancing line of business performance


• Assist in leading the education and development of less experienced staff


• Collaborates with cross-functional teams and provides valuable data-driven insights


• Responsible for manipulating large data files and transforming the data into business information that helps fulfill strategic objectives


• Provides feedback and coaching to other data analysts

Requirements

• Bachelor's degree in Computer Science, Management Information Systems, Business Analytics, Statistics, Mathematics, Economics, Engineering, Finance, or related field, or equivalent experience


• Typically, minimum 6 years in banking, financial services, or similar background


• Typically, minimum 6 years data analytics experience


• Advanced in data analytics tools, languages, and methodologies such as SAS, SQL, R, Python, Tableau, Excel, or Power BI


• Can write complex SQL queries against a variety of data sources and perform advanced data discovery.


• Comprehensive understanding of collections metrics, reporting standards, and reporting experience strongly preferred

Core Competencies

Demonstrates expertise in data analytics, reporting, and performance metrics, with a strong ability to manipulate large data sets and provide actionable insights. Proven experience in coaching and developing less experienced staff while collaborating with cross-functional teams to achieve strategic objectives.

Highest-signal resume keywords

• Data Analytics Experience


• Advanced SQL Proficiency


• SAS, SQL, R, Python, Tableau, Excel, Power BI


• Reporting Standards Knowledge


• Banking or Financial Services Background

ATS Optimization Keywords

Hard Skills

• Data Analysis


• Reporting Development


• Key Performance Indicators


• Complex SQL Queries


• Data Transformation

Soft Skills

• Coaching


• Collaboration


• Communication

Industry Keywords

• Banking


• Financial Services


• Data Analytics


• Collections Metrics


• Business Analytics

Tools & Technologies

• SAS


• SQL


• R


• Python


• Tableau


• Excel


• Power BI