Sr. Business Analyst

Keylent, Inc.

$124K *
Plano, TX 75025In-Person
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience as a Business Analyst.
  • Proficient in Python and PySpark for data analysis and processing.
  • Hands-on experience with AWS for data management.
  • Skilled in writing and optimizing SQL queries for data manipulation.
  • Experienced in Unix scripting for automation and performance enhancement.
  • Strong analytical skills to interpret complex data sets.
  • Excellent communication skills for cross-functional collaboration.

Responsibilities

  • Analyze and optimize business processes for efficiency.
  • Develop and maintain data pipelines using Python and PySpark.
  • Utilize AWS services for scalable data solutions.
  • Write and optimize SQL queries for data extraction.
  • Implement Unix scripts for task automation and system performance.
  • Collaborate with stakeholders to gather and translate requirements.
  • Provide actionable insights through comprehensive data analysis.

Benefits

  • Hybrid work environment in Plano, TX, or McLean, VA.
  • Opportunity to lead data-driven projects from inception to completion.
  • Access to continuous learning on industry trends and best practices.
Full Job Description
33278-1 - Sr. Business Analyst
33277-1 - Sr. Business Analyst

33276-1 - Sr. Business Analyst

BFS
***Hybrid in Plano TX and Mclean VA
***Max rate $60
Sr. Business Analyst
Experience : 5 to 7yrs
Required Skills : Python ,PySpark ,AWS ,SQL ,Unix
Job Summary
As a Sr. Business Analyst with 5 to 7 years of experience, you will play a pivotal role in analyzing business processes and leveraging data to drive strategic decisions.
Your expertise in Python, PySpark, AWS, SQL, and Unix will be crucial in optimizing our data infrastructure and ensuring seamless business operations.
You will collaborate with cross-functional teams to deliver impactful insights and solutions.

Roles & Responsibilities :
Analyze business processes to identify areas for improvement and optimization.
Develop and maintain data pipelines using Python and PySpark to ensure efficient data processing.
Utilize AWS services to manage and deploy scalable data solutions.
Write and optimize SQL queries to extract and manipulate data for analysis.
Implement Unix scripts to automate routine tasks and enhance system performance.
Collaborate with stakeholders to gather requirements and translate them into technical specifications.
Provide actionable insights through data analysis to support strategic decision-making.
Create and maintain comprehensive documentation for data processes and business workflows.
Conduct data validation and quality checks to ensure accuracy and reliability of data.
Lead data-driven projects from inception to completion, ensuring timely delivery and alignment with business goals.
Communicate findings and recommendations to both technical and non-technical audiences.
Stay updated with industry trends and best practices to continuously improve data solutions.
Work closely with IT and development teams to integrate data solutions into existing systems.

Qualifications
Possess strong analytical skills with the ability to interpret complex data sets.
Demonstrate proficiency in Python and PySpark for data processing and analysis.
Have hands-on experience with AWS services for data management and deployment.
Show expertise in writing and optimizing SQL queries for data extraction and manipulation.
Be skilled in Unix scripting for automation and system performance enhancement.
Exhibit excellent communication skills to effectively collaborate with cross-functional teams.
Display a proactive approach to problem-solving and continuous improvement.
Hold a Bachelors degree in Computer Science, Information Technology, or a related field.
Have a proven track record of delivering data-driven projects on time
Job Location : Primary Location : USTXPAOC01(ITUSA,Plano - TX USA, CLT)
Job Type : Business Associate [60CW00]
Demand Requires Travel? : No
Certification(s) Required : NA

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