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Assistant Data Analytics Jobs in Ohio (NOW HIRING)

Lead and assist in defining and monitoring data quality rules (e.g., completeness, accuracy ... Proficiency in using analytical tools (SQL, Python, SAS, Visual Basic) and Microsoft Office Suite ...

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Technical Architect - Data, Analytics & AI

Akron, OH · Hybrid

$61 - $78.50/hr

Key Responsibilities * Assist in the development of a multiyear Data, Analytics, and AI roadmap , aligned with the Munich Re Target Architecture and Roadmap Development Process, in collaboration with ...

Collect, clean, and analyze large datasets to support business objectives. * Assist in automating data workflows and reporting processes. * Maintain and improve data quality by ensuring accuracy and ...

Also review of historical database accuracy and resolution of errors or outliers. Assist with ... Miscellaneous sustainability program support including development of charts, analytics or other ...

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Assistant Data Analytics information

What is the difference between Assistant Data Analytics vs Data Analyst?

AspectAssistant Data AnalyticsData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related fieldBachelor's or higher in data science, statistics, or related field
Work EnvironmentSupportive team, entry-level tasks, data collection and cleaningAnalyzing data, creating reports, providing insights
Employer & Industry UsageCommon in tech, finance, healthcare, and consulting firmsWidely used across industries for data-driven decision making

Assistant Data Analytics roles typically involve supporting data analysis tasks, focusing on data collection and cleaning, while Data Analysts perform in-depth analysis, generate reports, and provide strategic insights. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and responsibilities.

What are Assistant Data Analytics?

Assistant Data Analytics professionals support data analysts and data scientists by preparing data, running basic analyses, and generating reports. They help collect, clean, and organize data so it can be used for business insights and decision-making. Their role often includes using spreadsheets, databases, and visualization tools to present findings clearly. This position is ideal for those starting in data analytics, as it offers hands-on experience with data processes and tools.

What are the key skills and qualifications needed to thrive as an Assistant Data Analytics, and why are they important?

To thrive as an Assistant Data Analytics professional, you need strong analytical skills, a foundational understanding of statistics, and a relevant degree in fields such as mathematics, computer science, or economics. Familiarity with data analysis tools like Excel, SQL, and visualization software such as Tableau or Power BI is typically required. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills for interpreting and presenting data insights. These skills and qualities are essential for supporting data-driven decision-making and ensuring accurate, actionable results in business environments.

What are some typical challenges faced by an Assistant Data Analytics professional, and how can they be addressed?

Assistant Data Analytics professionals often encounter challenges such as managing large and sometimes incomplete datasets, prioritizing tasks among competing deadlines, and effectively communicating technical findings to non-technical team members. Building strong organizational skills and becoming proficient with data cleaning tools can help manage data quality issues. Regular collaboration with senior analysts and clear communication with stakeholders can also make it easier to navigate complex projects and bridge gaps between technical analysis and business insights.
What are the most commonly searched types of Data Analytics jobs in Ohio? The most popular types of Data Analytics jobs in Ohio are:
What cities in Ohio are hiring for Assistant Data Analytics jobs? Cities in Ohio with the most Assistant Data Analytics job openings:
Manager, ALM Data & Analytics

Manager, ALM Data & Analytics

Keybank

Brooklyn, OH • Hybrid

Full-time

Posted yesterday


KeyBank rating

8.2

Company rating: 8.2 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

37th of 141 rated banks


Job description

Location:

For Those Who Work At Home, Ohio

Job Summary

Reporting to the Senior Manager, ALM Data & Analytics, this role will help lead the ALM Data & Analytics function with accountability for data governance, infrastructure, and analytical capabilities supporting Asset-Liability Management (ALM) month-end process and modeling updates. The successful candidate should have database querying and data transformation expertise and experience dealing with complex and large data sets from multiple sources. The candidate should have deep understanding of the ALM framework and should have knowledge of ALM concepts such as interest rate risk, liquidity and/or funds transfer pricing. This role provides strategic leadership over data architecture, data quality, and production processes supporting ALM modeling platforms (e.g., QRM, Empyrean), and ensures alignment with regulatory expectations and internal risk governance standards. The position requires strong analytical skills, attention to detail and strong collaboration and problem-solving across Finance, various Lines of Business (LOB), the Finance division's Financial Planning and Analysis (FP&A) group, Finance Enablement, and the Quantitative Modeling and Advanced Analytics (QMAA) team. This role will also heavily interact with senior leadership and second line functions.

Responsibilities

  • Enhance and execute monthly data load process and month-end reconciliation activities while explaining changes month-over-month within the overall balance sheet to business partners
  • Lead, support, and assist with the comprehensive process to identify, measure, monitor, and control interest rate risk with strong governance and controls
  • Help build and implement processes in ALM framework to support centralized forecasting, interest rate risk, funds transfer pricing, capital and liquidity planning, and internal stress testing that are scalable and well-controlled
  • Lead and assist in maintaining clear ALM data inventory (sources, lineage, transformations, owners, controls) for core feeds (loans, deposits, securities, derivatives, FTP curves, behavioral attributes) and promote adoption of modern data tools and automation to enhance efficiency and data integrity
  • Lead and assist in defining and monitoring data quality rules (e.g., completeness, accuracy, consistency, timeliness, and reconciliation tolerances) and ensure break remediation is tracked and timely remediated
  • Execute work for the Finance data roadmap for centralized ALM data architecture supporting interest rate risk, liquidity, FTP, capital planning and stress testing
  • Lead and assist and support the development, implementation, testing and documentation of data processes that support various modeling initiatives
  • Lead and assist in accurate ALM decisions and risk reporting to ensure it's based on accurate, controlled, well-governed data and analyses that reliably measure and explain balance sheet risk (IRR/IRRBB, NII/EVE sensitivity, optionality/behavioral assumptions) supporting risk governance and regulatory expectations
  • Assist team in resolving items within exception logs and issue remediations
  • Assess and propose linkage across foundational financial systems and work to develop interfaces into ALM framework
  • Partner with multiple developers and stakeholders to understand modeling data requirements and help develop and guide required data transformations, translation tables, parameters, data loads, security, reports, etc. to support projects/modeling while being able to explain the results
  • Work independently with Finance Enablement to ensure data requirements or process changes are identified and incorporated into model development schedule
  • Coordinate with multiple stakeholders with diverse backgrounds, perspectives and priorities
  • Perform data and process validation during testing and production phases of projects and ongoing work efforts
  • Oversee the development and maintenance of comprehensive control policies and procedures to ensure the integrity of the data process
  • Leverage automated technology to achieve the highest level of quality and efficiency
  • Maintain an awareness of current market and economic conditions
  • Provide insights into process efficiencies, functional realignments and overall continuous improvement
  • Participate in strategy discussions around hedging and investing as part of overall balance sheet management
  • Participate simultaneously in multiple work efforts and activities
  • Support any key projects across the department

Education Qualifications

  • Bachelor's Degree (Finance, Information Technology, Accounting or related field)

Experience Qualifications

  • 7+ years of analytical experience in Finance, Business or related field preferred
  • 3+ years of leadership or team management experience preferred

Required Skills

  • Familiarity with using, supporting and upgrading ALM platforms (e.g., QRM, Empyrean) and interacting with Technology support teams
  • Experience working with financial reporting systems (e.g., Workday, Essbase)
  • Curiosity-driven mindset with a focus on continuous learning and improvement
  • Database querying and data transformation expertise (e.g., Google Cloud Platform, Snowflake, SQL and Python)
  • Proficiency in using analytical tools (SQL, Python, SAS, Visual Basic) and Microsoft Office Suite applications
  • Experience dealing with complex and large data sets from multiple sources to support analytical processes
  • Experience in basic Treasury, ALM or interest rate risk functions
  • Knowledge of IRR metrics (NII, EVE), behavioral assumptions, and modeling frameworks
  • Strong financial and/or accounting acumen
  • Strong verbal and written communication skills coupled with the ability to work and communicate with personnel at all levels in the corporation
  • Ability to understand and interpret modeling requests/needs, and respond to questions with clear and effective answers, and give cohesive presentations
  • Proven team player, willing to assist others as needed to ensure that group deadlines are met, and quality standards are achieved
  • Hands-on experience with database compilation and analysis

COMPENSATION AND BENEFITS

This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.

Please click here for a list of benefits for which this position is eligible.

Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.

Job Posting Expiration Date: 07/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.

Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.

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About KeyBank

Sourced by ZipRecruiter

Key is one of the nation's largest bank-based financial services companies. Key provides deposit, lending, cash management, insurance, and investment services to individuals and businesses in 15 states under the name KeyBank National Association through a network of more than 1,200 branches and more than 1,500 ATMs. Key also provides a broad range of sophisticated corporate and investment banking products, such as merger and acquisition advice, public and private debt and equity, syndications, and derivatives to middle market companies in selected industries throughout the United States under the KeyBanc Capital Markets trade name.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Cleveland, OH, US

Year founded

1849