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Data Implementation Analyst Jobs in Kentucky (NOW HIRING)

$190 - $220/hr

Responsibilities Deep dive into data analytics for thorough investment due diligence, balancing ... Lead in developing and implementing data‑centric strategies and tools, enhancing our investment ...

Support the implementation and execution of customer programs and new business initiatives ... The company processes your data for the purpose of establishing an employment relationship on the ...

... design, implementation, and administration of compensation programs and projects within the ... Analyze data and relevant market trends, assist with the regular review of established faculty pay ...

Financial Analyst

Louisville, KY · On-site

$85K - $95K/yr

Recommend and implement process improvements that increase efficiency, consistency, and reporting quality.* Experience in financial analysis with the ability to interpret data and communicate ...

$106K - $127K/yr

... and implementation of modern datalakehouseand cloud data platform architectures that enable advanced analytics, AI, and business solutions. * Proven ability to work directly with business ...

Data Architect

Edmonton, KY · On-site

$54 - $69.25/hr

In this role you will play a crucial role in designing and implementing solutions that drive ... This role will be a key resource in our Business Analytics Practice. This role will be client ...

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... implementation of data-driven strategies that drive business growth and enhance decision-making. As ...

Data Architect Senior Staff

Lexington, KY · On-site

$64 - $85.75/hr

Developing or recommending analytic approaches for problems with incomplete information or no precedent. Use of outlier identification and removal techniques. Implementing data labeling governance to ...

Experience supporting a broad range of IT projects, such as application implementations, system enhancements, integrations, reporting and analytics, data initiatives, infrastructure changes, workflow ...

Data Scientist

Lexington, KY · On-site

$120 - $180/hr

Evaluate and implement emerging AI pricing technologies and automation platforms. Dynamic Pricing ... Data & Business Analytics * Develop dashboards and executive reporting for key pricing and e ...

Data Architect Senior Staff

Lexington, KY

$64 - $85.75/hr

Security & Compliance Implement data security safeguards (encryption, monitoring, access control ... Advanced Analytics & Modeling - Typical Duties Analyze data to extract insights and uncover ...

Showing results 41-60

Data Implementation Analyst information

What is the difference between Data Implementation Analyst vs Data Analyst?

AspectData Implementation AnalystData Analyst
Primary FocusImplementing data solutions, integrating systems, ensuring data accuracy during deploymentAnalyzing data sets, generating reports, identifying trends and insights
Skills & CertificationsData management, SQL, ETL tools, project managementData visualization, statistical analysis, Excel, SQL
Work EnvironmentIT teams, data engineering, project-based tasksBusiness units, reporting teams, analytics departments

The Data Implementation Analyst primarily focuses on deploying and integrating data systems, ensuring data quality during implementation. In contrast, the Data Analyst concentrates on analyzing existing data to generate insights and reports. Both roles require strong SQL skills and familiarity with data tools, but their core responsibilities and work environments differ significantly.

What are some common challenges faced by data implementation analysts during new client onboarding?

Data Implementation Analysts often encounter challenges such as integrating complex client data from various sources, ensuring data accuracy, and adapting to unique client requirements. They must communicate effectively with both technical teams and client stakeholders to clarify data specifications and resolve discrepancies quickly. Time management is critical, as onboarding projects may have tight deadlines and require simultaneous coordination across multiple teams. Successful analysts leverage strong analytical skills and attention to detail to deliver smooth, accurate implementations.

What are the key skills and qualifications needed to thrive as a data implementation analyst, and why are they important?

To thrive as a Data Implementation Analyst, you need strong analytical abilities, knowledge of data management principles, and a relevant degree such as in computer science or information systems. Familiarity with data integration tools, SQL, ETL processes, and sometimes certifications like CBIP (Certified Business Intelligence Professional) are typically required. Exceptional problem-solving skills, attention to detail, and effective communication help you understand client requirements and collaborate with stakeholders. These skills ensure smooth data migrations, accurate implementations, and successful project outcomes in data-driven environments.

What is a data implementation analyst?

A Data Implementation Analyst is a professional who specializes in integrating, configuring, and ensuring the successful deployment of data solutions for clients or organizations. They work closely with both internal teams and external stakeholders to understand data requirements, map data sources, and oversee the transfer and validation of data. Their responsibilities often include troubleshooting data issues, optimizing data workflows, and providing technical support during the implementation phase. Strong analytical, technical, and communication skills are essential for this role.

What are popular job titles related to Data Implementation Analyst jobs in Kentucky?

For Data Implementation Analyst jobs in Kentucky, the most frequently searched job titles are:

Infographic showing various Data Implementation Analyst job openings in Kentucky as of August 2026, with employment types broken down into 100% Full Time. Highlights an 73% In-person, and 27% Remote job distribution.

$190 - $220/hr

Other

Medical, Life, Retirement, PTO

Posted 8 days ago


Job description

Position Summary

Join our dynamic Investment Data Science Team as a Data Scientist and immerse yourself in the heart of the investment process. This unique role fuses technical data science expertise with sharp commercial insight, placing you at the crossroads of investment decision-making and value creation.

Collaborate closely with our investment teams and company leaders, leveraging your skills to make a tangible impact in due diligence and growth strategies.

Responsibilities

Deep dive into data analytics for thorough investment due diligence, balancing swift execution with meticulous analysis to assess potential risks and opportunities. Partner strategically with portfolio company executives, driving data‑led initiatives for growth and efficiency from concept to completion.

Lead in developing and implementing data‑centric strategies and tools, enhancing our investment processes and supporting our deal teams. Provide critical support in live due diligence, translating complex data into comprehensive analysis under tight deadlines. Develop insightful tools and data products to refine our investment process. Oversee value creation projects in portfolio companies, from strategy to execution. Engage in sophisticated data analysis, including feature engineering and analytics. Cleanse, integrate, and interrogate diverse datasets to unearth unique insights. Conduct rigorous hypothesis testing, statistical analysis, and modeling.

What you’ll do

Navigate and analyze complex datasets, extracting key insights to guide investment strategies. Collaborate with internal teams and external executives on data‑driven growth initiatives. Manage third‑party resources, integrating external expertise into our internal framework. Spearhead the creation of innovative data tools and products to scale our deal support capabilities.

Requirements
  • Education & Certificates: A bachelor's degree, required; concentration in Computer Science, Math, Physics or other engineering/STEM related field, preferred.
  • Professional Experience: At least 8 years of overall relevant technical experience in Data Science, required; previous experience with hedge funds, preferred; experience in the financial services or private equity industry, preferred.
  • Competencies & Attributes: Exceptional problem‑solving abilities; aptitude for translating data into actionable business strategies; strong verbal and written communication skills, with a flair for public presentation and storytelling; solid understanding of investment, financial valuation, and commercial growth principles; advanced Python and SQL skills for complex data analysis; proficiency in machine learning techniques and handling large datasets; skilled in data visualization and statistical modeling; familiarity with AWS cloud computing and Git version control systems.
Benefits/Compensation

The compensation range for this role is specific to New York and takes into account a wide range of factors including but not limited to the skill sets required/preferred; prior experience and training; licenses and/or certifications. The anticipated base salary range for this role is $190,000 to $220,000. In addition to the base salary, the hired professional will enjoy a comprehensive benefits package spanning retirement benefits, health insurance, life insurance and disability, paid time off, paid holidays, family planning benefits and various wellness programs. Additionally, the hired professional may also be eligible to participate in an annual discretionary incentive program, the award of which will be dependent on various factors, including, without limitation, individual and organizational performance.

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