Sr. Data Analyst (Business Intelligence)

Korn Ferry

Sandy Springs (GA)

Ibrido

USD 86.000 - 120.000

Tempo pieno

6 ore fa
Candidati tra i primi
Generatore di candidature

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Descrizione del lavoro

Korn Ferry is seeking a Senior Business Intelligence Data Analyst based in Sandy Springs, GA with a HYBRID work schedule. The role owns key projects across the company, gathering, cleaning, and optimizing data to build dashboards, reports, models, and analyses that support strategic decision making.

The ideal candidate combines curiosity about large data sets with a business mindset, turning insights into opportunities, and partnering with stakeholders to design, test, implement, and evaluate

Competenze

  • Bachelor's Degree in related field and 4 years of experience or Master’s degree with 2 years of experience
  • Strong skills in Excel, PowerPoint and experience with at least one data visualization tool like Qlikview/Qliksense, Power BI, Tableau etc. Qlikview/Qliksense preferred
  • Proficiency in SQL/Snowflake or any other relational database
  • Demonstrated ability to work independently and employ critical thinking to address business challenges
  • Proven ability to analyze, evaluate and interpret complex data into presentations and visualizations
  • Self-motivated to learn new concepts and participate in new projects, have a can-do attitude and continual improvement mindset to look for and introduce best practices and not afraid to question the status quo
  • Strong attention to detail and good communication skill

Mansioni

  • Manages complex analyses based on large scale and high dimensional operational and financial data to measure the performance of initiatives, evaluate potential operational changes, and provide actionable insights to business partners
  • Research, hypothesize and develop analytical approaches for identifying, analyzing, and interpreting trends or patterns in complex data sets
  • Develop benchmarks, robust reporting, interactive dashboards, and key metrics across business departments to drive strategic planning, optimize profitability, revenue, and sales growth
  • Be the owner of cross-functional projects where you will examine, interpret and report results of analytical initiatives to business partners internally and externally to clients
  • Uses data to build the business case for making a change to current practices, programs, or procedures. Partners with stakeholders on the design, testing, implementation, and evaluation of business process changes to improve business outcomes. May lead or provide support to the implementation and evaluation of sophisticated business process changes
  • Develops, updates, and analyzes metrics to determine operational and financial performance
  • Perform all other duties as assigned

Conoscenze

Excel
PowerPoint
Data visualization
SQL

Formazione

Bachelor's degree in related field
Master’s degree in related field

Strumenti

Qlikview/Qliksense
Power BI
Tableau
Snowflake

Descrizione del lavoro

Our client is a premier healthcare company with 46,000 engaged team members who are focused on delivering quality, value, and exceptional patient experience through specialized services and protocols in more than 1,650 hospital and health system locations in 48 states. Through a combined three-quarters of a century of healthcare experience, this company offers seven customer-focused core services: Food and Nutrition, Environmental, Patient Transportation, Laundry & Linen, Healthcare Technology Solutions (Clinical Engineering), Facilities Management, and Ambulatory Services.

Job Summary

This role is based in Sandy Springs, GA and offers a HYBRID work schedule.

The Senior Business Intelligence Data Analyst brings a data driven approach to solving company problems and providing strategic insight. The role will entail ownership of key projects across the company and include gathering, cleaning, and optimizing data for building dashboards, reports, models, and analysis. The ideal candidate has a curiosity about seeing solutions in sprawling data sets and the business mentality to convert insights into strategic opportunities for our company.

Job Responsibilities
  • Manages complex analyses based on large scale and high dimensional operational and financial data to measure the performance of initiatives, evaluate potential operational changes, and provide actionable insights to business partners.
  • Research, hypothesize and develop analytical approaches for identifying, analyzing, and interpreting trends or patterns in complex data sets
  • Develop benchmarks, robust reporting, interactive dashboards, and key metrics across business departments to drive strategic planning, optimize profitability, revenue, and sales growth
  • Be the owner of cross-functional projects where you will examine, interpret and report results of analytical initiatives to business partners internally and externally to clients
  • Uses data to build the business case for making a change to current practices, programs, or procedures. Partners with stakeholders on the design, testing, implementation, and evaluation of business process changes to improve business outcomes. May lead or provide support to the implementation and evaluation of sophisticated business process changes
  • Develops, updates, and analyzes metrics to determine operational and financial performance
  • Perform all other duties as assigned
Job Qualifications
  • Bachelor's Degree in related field and 4 years of experience or Master’s degree with 2 years of experience
  • Strong skills in Excel, PowerPoint and experience with at least one data visualization tool like Qlikview/Qliksense, Power BI, Tableau etc. Qlikview/Qliksense preferred
  • Proficiency in SQL/Snowflake or any other relational database
  • Demonstrated ability to work independently and employ critical thinking to address business challenges
  • Proven ability to analyze, evaluate and interpret complex data into presentations and visualizations
  • Self-motivated to learn new concepts and participate in new projects, have a can-do attitude and continual improvement mindset to look for and introduce best practices and not afraid to question the status quo
  • Strong attention to detail and good communication skill
Preferred Qualifications:
  • Understanding of statistical concepts i.e. regression, decision tree, random forest etc
  • Solid understanding of Python or R
  • Advance degree or certificate in Statistics, Predictive Modeling or Data Mining
  • Prior proven experience in delivering analytical solutions in predictive manner
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