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Data Optimization Jobs in Columbus, OH (NOW HIRING)

Databricks Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

This position primarily leads the building, managing, and optimizing data pipelines and then moving these data pipelines effectively into production for key data and analytics consumers like business ...

Senior Data Architect

Columbus, OH · On-site

$65 - $86.75/hr

Oversee the performance optimization, scalability and reliability of the PM2PA data flows. This may involve tuning Oracle databases or other key data sources, optimizing application performance and ...

Lead Data Engineer

Westerville, OH · On-site

$85K - $150K/yr

Data Architecture * Platform and Technology * Experience using and implementing database ... Experience in optimization and performance tuning in all aspects of the platform and technology ...

Lead Data Engineer

Westerville, OH · On-site

$85K - $150K/yr

Data Architecture * Platform and Technology * Experience using and implementing database ... Experience in optimization and performance tuning in all aspects of the platform and technology ...

... optimization including indexing strategies. · Query system tables and analyze performance and data behavior to support reporting and application needs. · Translate business logic into clear ...

Data Engineer - GCP

Dublin, OH · On-site

$110K - $132K/yr

Experience designing and optimizing data models using BigQuery . * Experience integrating KMS / HSM solutions with GCP data services. * Experience implementing metadata management solutions on GCP.

Data Architect

Columbus, OH · On-site

$61.50 - $79.25/hr

Ability to write and review advanced SQL for data transformations, including window functions, MERGE, CTEs, and query optimization * Python and PySpark: Production-grade experience, including Delta ...

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Data Optimization information

What are some typical challenges faced in a Data Optimization role?

Professionals in Data Optimization often encounter challenges such as working with incomplete or inconsistent datasets, integrating data from multiple sources, and ensuring data quality and accuracy throughout the optimization process. Balancing technical efficiency with business objectives and communicating complex analytical findings in easily understandable ways can also be demanding. Collaboration with cross-functional teams is frequent, requiring both strong technical and interpersonal skills. Overcoming these challenges helps ensure that optimization projects deliver meaningful value and measurable impact for the organization.

What is a Data Optimization job?

A Data Optimization job involves improving the efficiency, accuracy, and accessibility of data within an organization. Professionals in this role analyze large datasets, refine data structures, and implement strategies to enhance data processing and storage. They work with data engineers, analysts, and business teams to ensure data supports performance goals and decision-making. Common tasks include cleaning data, reducing redundancies, and optimizing database queries.

Can I learn data analyst in 3 months?

Becoming a data analyst in three months is possible with intensive study of core skills such as Excel, SQL, and data visualization tools like Tableau or Power BI. However, developing proficiency in data analysis typically requires ongoing practice, real-world experience, and understanding of statistical concepts, which may extend beyond three months for full competency.

What is a data optimization job?

A data optimization job involves analyzing and improving data quality, structure, and storage to enhance efficiency and decision-making. Professionals in this role often use tools like SQL, Python, or data management software and require strong analytical skills to identify areas for improvement in data systems.

What is the highest paying job in data?

The highest paying roles in data often include Data Science Directors, Chief Data Officers, and Data Engineering Managers, with salaries exceeding $150,000 annually depending on experience and industry. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications and extensive experience.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, they do not fully replace the need for human judgment, domain expertise, and interpretative skills essential to the role of a data analyst.

What are the key skills and qualifications needed to thrive in the Data Optimization position, and why are they important?

To thrive in Data Optimization, you need strong analytical skills, expertise in data modeling, and a solid foundation in statistics or mathematics, usually supported by a relevant degree. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau, as well as certifications in data analytics or optimization software, is highly beneficial. Effective communication, problem-solving abilities, and a collaborative mindset are key soft skills for this role. These competencies are crucial for translating complex data into actionable insights that drive business efficiency and performance improvements.

What are the most commonly searched types of Data Optimization jobs in Columbus, OH? The most popular types of Data Optimization jobs in Columbus, OH are:
Principal Data Scientist- Mortgage Sales & Strategy Analytics

Principal Data Scientist- Mortgage Sales & Strategy Analytics

Citizens

Columbus, OH • Hybrid

$157K - $197K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted yesterday


Job description

Description

Citizens' Enterprise Data & Analytics (ED&A) organization is seeking an experienced Data Scientist to provide analytics leadership related to Mortgage sales and strategy with a focus on proactively retaining existing customers and acquiring new customers via application of data/programming/models/analytics to support sales outreach and optimization. Initial focus is on driving growth through the Enterprise Smart Leads operation that centralizes sales lead generation with a coordinated approach to customer outreach. The Mortgage Sales & Strategy Principal Data Scientist will be responsible for generating, distributing, assessing and optimizing data-driven sales leads provided to virtual and retail Mortgage Loan Officers to enable proactive customer outreach.  Skills required include a range of analytical functions (computer and statistical programming, data management, data exploration/visualization, feature engineering, statistical analysis) and business functions (stakeholder engagement and communication, strategy development, analyzing/presenting results, process improvement).

The optimal candidate will possess strong programming, analytical, and communication skills, and demonstrate ability to provide analytics leadership with business stakeholders and work well in a team environment.  As the Principal Data Scientist, you will work independently as the primary point of contact for Mortgage business partners as well as working within the broader Enterprise Smart Leads team at the direction of a Data Science Manager.  This person will develop expertise on all Mortgage sales-related data; develop, execute, and maintain programs to generate customized, data-driven Mortgage-focused leads; develop/implement/present analyses aimed at optimizing performance; and lead reporting and communications with management regarding performance and strategy.  Given the focus, knowledge of the home lending area and experience with home lending data is a plus, but is not required.  Experience in the financial services industry is preferred.

Smart Leads operates as an Agile team within the Enterprise Data and Analytics organization, working closely with other teams involved in various customer communications. 

In this role, you will:

  • Conduct customer segmentation analyses and scoping to support Mortgage lead strategy development, assessment and revision. 
  • Apply advanced analytics to engineer customized, data driven, timely sales leads focused on Mortgage retention and acquisition 
  • Apply advanced analytics to continually optimize lead distribution across Virtual/Retail loan officers.
  • Apply advanced analytics to maximize production via provision of an optimal number and mix of leads across channels.
  • Apply advanced analytics to develop and optimize lead scoring/prioritization within an overall sales lead strategy framework.
  • Undertake Mortgage lead program investigation and evaluation on an ongoing basis.  Prepare performance updates and special analyses.
  • Regularly engage with Mortgage business partners to remain tightly aligned on shifting business strategies and discuss application of data and analytics to Mortgage strategy and sales.
  • Oversee ongoing execution and generation of data driven Mortgage sales leads.
  • Maintain and improve processes/programs for generating and delivering sales leads and other related information flows 
  • Manage and analyze call disposition data to optimize lead selection and assess performance 
  • Document and communicate analytic insights for both technical and non-technical audiences, often within an Agile working structure
  • Develop and implement experimental designs to meet business objectives
  • Continuously innovate through exploration of new techniques, platforms and data sources
  • Automate various standard procedures including data flows, monitoring, & quality control 

Technical Qualifications

  • Master's (or beyond) in a quantitative discipline such as Statistics, Mathematics, Computer Science, Data Science/Analytics, Economics, Finance or related fields
  • Strong programming skills and ability to utilize a variety of data/analytic software languages/tools (e.g., SQL, Python, SAS, R, etc.)
  • Strong written and verbal communication skills required with an ability to communicate analytic results, business insights and resulting business implications to non-technical business partners
  • Ability to work in a team environment and collaborate with colleagues who have a background in statistics, database development/maintenance, and information technology 
  • Ability to lead productive engagements with business partners from an analytic perspective
  • 4-7 years of experience in Analytics particularly with Financial Services applications

Hours & Work Schedule

  • Hours per Week: 40
  • Work Schedule: Monday - Friday
  • Hybrid: 4 days per week on site, 1 day remote

Pay Transparency

The salary range for this position is $157,000 - $197,000 per year, plus an opportunity to earn additional incentive earnings. Actual pay is based on various factors including but not limited to the budget, work location, and relevant skills and experience.

We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits.

 

Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Education:Why Work for UsEmployment Type: 1ST