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Data Analyst Python Sql Jobs in Kentucky (NOW HIRING)

Gray Construction

Data Analyst III

Lexington, KY · On-site

Advanced SQL skills for querying and transforming complex data sets. * Proven ability to mentor junior team members and conduct peer code and report reviews. * Excellent communication and analytical ...

New

Gray Construction

Data Analyst III

Lexington, KY

Advanced SQL skills for querying and transforming complex data sets. * Proven ability to mentor junior team members and conduct peer code and report reviews. * Excellent communication and analytical ...

New

MDAEdge

Power BI Financial Data Analyst

Louisville, KY · On-site

The role involves building executive-ready dashboards, designing SQL-driven data pipelines, and ... variance analysis, forecasting) to highlight risks/opportunities • Write and optimize T-SQL ...

Danaher

Digital Analyst Internships

Covington, KY

$95.60K - $113.10K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Louisville, KY

$94.60K - $111.90K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Bowling Green, KY

$96.60K - $114.20K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Owensboro, KY

$97.40K - $115.20K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Lexington, KY

$97.10K - $114.80K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Frankfort, KY

$85.50K - $101.20K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

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Data Analyst Python Sql information

What are the key skills and qualifications needed to thrive as a Data Analyst with Python and SQL, and why are they important?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

How does a Data Analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What are Data Analyst Python SQL jobs?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

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Data Analyst Python Sql jobs near you

Business Analyst - AI and Data Analytics

DHL Express

Erlanger, KY • On-site

Full-time

Posted 4 days ago

Job description

Job Summary:
DHL Express is the world's leading delivery and logistics company, known for its commitment to empowering employees. They are seeking a Business Analyst - AI and Data Analytics to analyze and optimize clearance processes through data-driven and AI-powered solutions, enhancing operational efficiency and compliance.
Responsibilities:
• Analyze operational and financial data to support daily business decisions across DHL teams.
• Track, enhance, and automate key performance indicators (KPIs) for clearance functions (e.g., clearance cycle times, delays, duty/tax forecasting, exception rates, non-compliance risks).
• Develop and maintain interactive dashboards and self-service analytics using tools like Power BI.
• Translate complex datasets into actionable insights for internal stakeholders including Operations, Compliance, and Gateway leadership.
• Apply AI/ML techniques (e.g., classification, anomaly detection, time-series forecasting) to optimize clearance workflows and identify patterns not visible through traditional analytics.
• Assist in building intelligent automation solutions (e.g., RPA, workflow automation) to streamline repetitive clearance and reporting processes.
• Integrate predictive outputs into operational dashboards and business processes to enable real-time, data-driven decision-making.
• Explore and support implementation of Generative AI use cases (e.g., automated report generation, document summarization, tariff classification assistance).
• Create and maintain data pipelines utilizing Python, SQL, and Snowflake to support analytics and AI use cases.
• Ensure data quality, governance, reproducibility, and version control across all analytics and modeling workflows.
• Monitor model performance (accuracy, drift, data quality) and assist in model retraining and tuning.
• Collaborate with IT and data engineering teams to scale and produce analytics solutions.
• Identify opportunities for process optimization, cost reduction, and service improvements within clearance operations.
• Analyze service incidents and apply root cause analysis and AI-driven pattern detection to reduce recurring issues.
• Support cross-functional projects aimed at enhancing compliance, efficiency, and customer experience.
• Ensure adherence to DHL’s data governance, privacy, and Responsible AI standards.
• Maintain thorough documentation, model cards, and audit trails for all analytics and AI solutions.
• Support compliance with global trade regulations by leveraging data insights and automated validation checks.
Qualifications:
Required:
• 2–4 years of experience in data analytics, business analytics, or a related field.
• Bachelor’s degree in Business, Supply Chain, Logistics, Data Analytics, Finance, Computer Science, or equivalent experience.
• Strong proficiency in Excel and data analysis concepts.
• Working knowledge of Python, SQL, Snowflake for data manipulation and analysis.
• Experience with data visualization tools (e.g., Power BI).
• Ability to analyze data, identify trends, and communicate insights clearly to business stakeholders.
• Knowledge of Generative AI tools and applications within business workflows.
• Attention to detail and ability to manage multiple tasks with guidance.
• Interest in learning customs, trade, and logistics processes.
• This position requires access to secured airport areas. Selected candidates must be able to obtain and maintain a Security Identification Display Area (SIDA) badge, which includes passing a criminal history records check, fingerprinting, and meeting all federal, state, and local regulatory requirements. Candidates must be able to provide all documentation necessary to support the badging process.
Company:
Leading the way in international logistics across an unparalleled network of 220 countries and territories. Founded in 1969, the company is headquartered in Mascot, AUS, with a team of 10001+ employees. The company is currently Late Stage.

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