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Performance Improvement Data Analyst Jobs in Alabama

4pconsultinginc

Data Analyst II

Birmingham, AL · On-site

Filter and clean data by reviewing reports, printouts, and performance indicators * Identify and correct coding issues and data inconsistencies * Analyze and interpret trends and patterns in complex ...

TMC Technologies

Data Analyst - Mid

Huntsville, AL · On-site

Job Title Data Analyst - Mid Location Huntsville, AL 35808 US (Primary) Category Information ... and high-performance computing, as well as using the specified open source, COTS, and GOTS ...

IGNITE

DATA ENGINEER/DATA ANALYST

Huntsville, AL · On-site

... improvement efforts related to Army Vantage, Power BI, SQL-based systems, and enterprise data ... analytics products. • Produce clear technical documentation, user guidance, and solution ...

TAD PGS, Inc.

Senior Data Analyst

Huntsville, AL · On-site

$84K - $106K/yr

... improvement areas, and creation of proactive strategic initiatives. Basic Hiring Criteria ... Minimum five (5) years or more of Data Analytical experience in data management activities, as well ...

TAD PGS, Inc

Senior Data Analyst

Huntsville, AL

$64.90 - $72.11/hr

... improvement areas, and creation of proactive strategic initiatives. Basic Hiring Criteria ... Minimum five (5) years or more of Data Analytical experience in data management activities, as well ...

Booz Allen Hamilton

Data Analyst, Mid

Huntsville, AL

$61K - $141K/yr

As data analyst, you love diving into data and turning it into meaningful insights. With the ... Our recognition awards program acknowledges employees for exceptional performance and superior ...

Booz Allen Hamilton

Mid Data Analyst

Huntsville, AL · On-site

$61K - $141K/yr

As data analyst, you love diving into data and turning it into meaningful insights. With the ... Our recognition awards program acknowledges employees for exceptional performance and superior ...

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Performance Improvement Data Analyst information

What are the key skills and qualifications needed to thrive as a performance improvement data analyst?

A Performance Improvement Data Analyst should possess strong analytical skills, expertise in data interpretation, and a background in statistics or a related field, often supported by a relevant degree. Familiarity with data visualization tools (such as Tableau or Power BI), statistical analysis software (like SAS or R), and quality improvement methodologies (such as Lean or Six Sigma certification) is typically required. Exceptional attention to detail, problem-solving abilities, and effective communication are crucial soft skills for translating data insights into actionable recommendations. These competencies are essential for identifying trends, driving process improvements, and supporting organizational decision-making.

How does a performance improvement data analyst typically collaborate with cross-functional teams to drive organizational change?

Performance Improvement Data Analysts often work closely with departments such as operations, quality assurance, and management to identify performance gaps and recommend actionable solutions. They facilitate meetings to present data findings, translate analytics into practical strategies, and support teams during the implementation of process improvements. This role requires effective communication and the ability to build consensus among stakeholders, as well as ongoing follow-up to measure the impact of changes and ensure continuous improvement.

What is the difference between Performance Improvement Data Analyst vs Business Analyst?

AspectPerformance Improvement Data AnalystBusiness Analyst
Required CredentialsBachelor's in Data Analytics, Statistics, or related field; certifications like CAP or CBAPBachelor's in Business, Management, or related field; certifications like CBAP or PMI-PBA
Work EnvironmentData-driven teams, healthcare, manufacturing, or corporate settingsBusiness units, project teams, corporate offices across industries
Employer & Industry UsageHealthcare, manufacturing, finance, and consulting firms focusing on process improvementsVarious industries including finance, IT, healthcare, focusing on business process analysis

The Performance Improvement Data Analyst primarily focuses on analyzing data to identify process inefficiencies and recommend improvements, often within healthcare or manufacturing sectors. In contrast, a Business Analyst evaluates business needs, documents requirements, and supports project implementation across diverse industries. While both roles require analytical skills and certifications, their core responsibilities and work environments differ, with the Data Analyst emphasizing data analysis and the Business Analyst focusing on business processes and solutions.

What is a performance improvement data analyst?

A Performance Improvement Data Analyst is a professional who collects, analyzes, and interprets data to identify areas where an organization can enhance its efficiency, quality, and overall performance. They work with various teams to develop strategies based on data-driven insights, often focusing on process optimization and cost reduction. Their role may include creating reports, visualizing data trends, and supporting decision-making by providing actionable recommendations. These analysts are commonly found in healthcare, business, and manufacturing settings, among others.

What are popular job titles related to Performance Improvement Data Analyst jobs in Alabama?

For Performance Improvement Data Analyst jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Performance Improvement Data Analyst jobs in Alabama look for?

The top searched job categories for Performance Improvement Data Analyst jobs in Alabama are:

Performance Improvement Data Analyst jobs near you

Data Analyst Mid with Security Clearance

Cintel Inc.

Huntsville, AL • On-site

Other

Posted 5 days ago

Job description

Position Overview: We are seeking a Data Analyst Mid to support mission-focused programs in Huntsville. The ideal candidate will have strong experience performing data analysis, developing reporting solutions, and working directly with technical and functional teams to gather and define data requirements. The Data Analyst Mid will support data-driven decision making through analysis, visualization, documentation, and reporting activities in secure environments. Responsibilities: Develop and maintain dashboards, reports, and visualizations using PowerBI.
Extract, manipulate, and analyze data using SQL.
Work independently with cross-functional teams to gather, define, and document data analysis requirements.
Create and maintain data documentation, data dictionaries, and analytical procedures.
Utilize Python/R for Statistical scripting.
Support continuous improvement initiatives related to data processes and reporting capabilities.
Develop data analytics for desktop and web-developed visual analytic software.
Facilitate the bulk analysis of relational information utilizing advanced graphics, visualization, and high-performance computing.
Use the specified open source, COTS, and GOTS technologies when needed.
Establish an application that produces manageable, actionable intelligence from streams of a structured and semi-structured data.
Design strategies for enterprise database systems and set standards for operations, programming, and security. Design and construct large relational databases. Integrate new systems with existing warehouse structure and refine system performance and functionality. Required Qualifications: Active Top Secret (TS) security clearance.
Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Mathematics, or related field (or equivalent experience).
Five (5)+ years of relevant experience.
Experience with Python and SQL for data analysis and reporting.
Experience developing dashboards and reports using PowerBI.
Knowledge of Data Pipelines & Warehousing (ETL/ELT).
Knowledge of Statistical Scripting such as Python/R.
Knowledge of Advanced Data Querying such as SQL. Desired Qualifications: Experience with Data pipelines and data transformation.
Experience with Cribl.

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