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Manager Python Script Jobs in Ohio (NOW HIRING)

Sarian, Inc.

API Tester

Strongsville, OH · On-site

Familiarity with programming languages like Java, Python, or JavaScript for test script development ... Defect Management: Identify, document, and track defects found during testing, collaborating with ...

FlightSafety International

Lead Data Engineer

Columbus, OH · On-site

$107.50K - $129.20K/yr

... Python scripts Develop and optimize Power BI dashboards, reports, and semantic models to support ... governance, metadata management, and compliance frameworks Experience with Agile/Scrum ...

FlightSafety International

Lead Data Engineer

Columbus, OH

$110.60K - $132.80K/yr

... Python scripts * Develop and optimize Power BI dashboards, reports, and semantic models to support ... Knowledge of data governance, metadata management, and compliance frameworks * Experience with ...

FlightSafety International

Lead Data Engineer

Columbus, OH

$107.50K - $129.20K/yr

... Python scripts * Develop and optimize Power BI dashboards, reports, and semantic models to support ... Knowledge of data governance, metadata management, and compliance frameworks * Experience with ...

FlightSafety International

Lead Data Engineer

Columbus, OH · On-site

$107.50K - $129.20K/yr

... Python scripts * Develop and optimize Power BI dashboards, reports, and semantic models to support ... Knowledge of data governance, metadata management, and compliance frameworks * Experience with ...

FlightSafety International

Lead Data Engineer

Columbus, OH

$107.50K - $129.20K/yr

... Python scripts * Develop and optimize Power BI dashboards, reports, and semantic models to support ... Knowledge of data governance, metadata management, and compliance frameworks * Experience with ...

Pro IT Inc

MS SQL Database Administrator

Cincinnati, OH · On-site

$75K - $130K/yr

Configure and manage replication (Master-Slave, Group Replication, MySQL Cluster). Troubleshoot and ... Automate database administration tasks using scripts (Shell, Python, SQL). Perform database ...

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Manager Python Script information

What is the difference between Manager Python Script vs Data Analyst?

AspectManager Python ScriptData Analyst
Required SkillsPython scripting, project management, leadershipData analysis, SQL, Excel, visualization
Work EnvironmentTeam leadership, project oversight, scripting tasksData interpretation, reporting, data cleaning
Industry UsageSoftware development, automation, data engineeringBusiness intelligence, marketing, finance

The Manager Python Script primarily focuses on leading projects involving Python scripting, automation, and team management. In contrast, Data Analysts concentrate on analyzing data, creating reports, and deriving insights. While both roles require technical skills, the Manager Python Script emphasizes leadership and scripting expertise, whereas Data Analysts focus on data interpretation and visualization.

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Manager Python Script jobs near you
Quant Analytics Senior Associate

Quant Analytics Senior Associate

JPMorgan Chase & Co.

Columbus, OH • On-site

Full-time

Medical, Retirement

Posted 18 days ago

JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 467 frontline employees who took The Breakroom Quiz

45th of 141 rated banks

Job description

Job Description
The Finance Decision Optimization team is a group of product, analytics, and engineering experts who support the development of machine learning models and other tools used to drive strategic decisions across the Consumer and Community Banking Finance organization.
As a Data Science Senior Associate at JPMorganChase within the Finance Decision Optimization team, you will support the end-to-end model development lifecycle-from exploratory analysis to model testing to ongoing performance monitoring and verification of production processes. You will translate business needs into technical requirements and prototype solutions, partner closely with modeling and technology teams, and deliver analytics that drive measurable business outcomes in a fast-paced environment.
Job responsibilities
  • Drive business outcomes and decision making through data and analytics, using data warehouse data to inform modeling approaches, understand customer behavior, and perform sensitivity analysis
  • Develop comprehensive knowledge of supported business units to deliver pragmatic, effective solutions
  • Translate business demands into technical requirement documents and collaborate with technology teams to deliver capabilities end-to-end
  • Work closely with end-users and data product owners during user acceptance testing and perform testing to ensure functionality meets end-user requirements
  • Partner with the business modeling team to develop and refine statistical models, continuously evaluating performance and effectiveness
  • Validate that production results comply with business requirements and expected results, and support ongoing monitoring and verification of production processes
  • Translate business requirements into prototype solutions for new requests and enhancements
  • Independently design, develop, and optimize complex SQL queries and Python scripts to support data validation, exploration, and integration with existing systems and codebases
  • Take a leadership role by contributing strategic direction and thought leadership as a critical member of the Finance Decision Optimization team
  • Manage multiple tasks and priorities in a fast-paced environment while maintaining responsiveness to ad-hoc requests

Required qualifications, capabilities and skills
  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • 3+ years of experience at a financial institution or consulting firm in corporate finance, banking, treasury, data analytics, or quantitative modeling
  • Strong problem-solving skills with excellent analytical, critical thinking, communication, organizational, and technical skills, with proven ability to collect, organize, and analyze significant amounts of information while maintaining attention to detail and accuracy
  • Proficiency in business analytics tools and programming languages to perform data analytics and drive business outcomes, including SQL and Python
  • Ability to communicate effectively with technical peers including data engineering and quantitative modeling teams, and translate data into concise and actionable recommendations

Preferred qualifications, capabilities and skills
  • Experience supporting large-scale data projects
  • Proficiency with additional analytics tools such as SAS, R, or similar
  • Experience with Databricks, Streamlit, and Amazon Web Services cloud environments

About Us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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