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Data Analyst Python Sql Jobs in Kentucky (NOW HIRING)

SQL on BigQuery (Snowflake a plus / legacy) * Python for analysis, automation, and statistics ... ROI modeling & data storytelling -- Use SQL and Python to extract and shape large datasets ...

$81K - $95K/yr

The ideal candidate will have strong SQL expertise, experience working with large datasets, and the ... Develop scripts using Python, Bash, or PowerShell * Automate data pulls, file processing, and ...

$70K - $82K/yr

Validating and analyzing data in Excel: 60% * Customer-facing interactions: 30 ... Writing or updating SQL, Python, and various other tasks: 10% Candidates should be passionate about ...

Proficiency in data cleaning, transformation, and analysis using Python (Pandas), R, SQL, Tableau ... SAS, or similar tools. * Strong statistical foundation: hypothesis testing, trend analysis ...

The role typically involves technologies such as SQL, Python, Data Visualization, Excel, Medical ... This role combines advanced analytics, Tableau reporting, and emerging AI‑driven solutions to ...

$90K - $120K/yr

Write and optimize SQL to extract, join, and aggregate data across large relational datasets * Use Python to clean, transform, and analyze data that doesn't fit neatly into a query * Independently ...

What We Are Looking For * 2+ years in a data-analysis role with strong SQL. * Fluency in a BI ... Python or R. * Exposure to accounting/AR data or Stripe. #J-18808-Ljbffr

$63K - $80K/yr

They will possess skills in data analytics, SQL, Python, Jira, large dataset analysis, data reconciliation/validation, and API based integrations. Experience working with APIs and webhooks to ...

Role: Clinical Workload Data Analyst Position: 1 Clearance: Public Trust Role Overview We are ... The ideal candidate will have strong SQL and Python skills, along with Power BI experience and ...

Christensen Associates is looking for a full-time Data Analyst I to join our Madison, Wisconsin ... g., Python, SQL, SAS, or similar). * Strong communication skills (verbal and written ...

... analyze many complex and high-profile schemes. Our team applies data science and econometric ... Familiarity with R, SQL, Python, or other scripting languages * Proficiency in Microsoft Excel

$63K - $80K/yr

... Python, R, Stata, and/or SAS. In addition, the Senior Data Analyst should have experience building and managing SQL databases, preferably in Microsoft SQL Server. The position works directly with ...

An ideal candidate brings strong Python and SQL fundamentals, a positive attitude, a passion for ... data accuracy matters -- reconciliation, reporting, or similar * Strong analytical and ...

$63K - $80K/yr

Monitor and validate RMA, ServiceNow, and Power Apps data pipelines; proactively surface anomalies, perform root‐cause analysis (SQL/R/Python), and drive remediation with CPMO/OCI owners.* Define ...

Write SQL queries and use analytics tools to extract, transform, and analyze large datasets ... Experience with Python or R for data analysis is a plus. * Exposure to Agile project environments ...

Perform hands-on data analysis, profiling, and utilize advanced PL/SQL skills. Present findings and lead workstreams independently. Lead data analysis efforts in an Agile environment. Utilize ...

New

$78K - $128K/yr

Design, develop, and maintain scalable datasets, data models with SQL/Python, ETL/ELT processes, and enterprise reporting solutions. Support analytics platform modernization initiatives, including ...

Develop and maintain Extract-Transform-Load (ETL) processes using SQL, Python, or Azure Data ... Analyst Associate) * Technical Skills: * Expert proficiency in Microsoft Power BI (dashboard ...

Experience in analyzing data within relational database systems such as MS Access, MS SQL Server ... Experience with Data analysis in Python using Pandas/Numpy/Jupyter Notebooks, preferred. * Ability ...

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Data Analyst Python Sql information

What is a data analyst Python SQL?

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 are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

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 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.

What job categories do people searching Data Analyst Python Sql jobs in Kentucky look for?

The top searched job categories for Data Analyst Python Sql jobs in Kentucky are:

What cities in Kentucky are hiring for Data Analyst Python Sql jobs?

Cities in Kentucky with the most Data Analyst Python Sql job openings:

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Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

Welcome to Hack The Box

At the end of this journey, you'll become a proud member of Hack The Box, helping cybersecurity professionals and organizations enhance their cyber-attack readiness.

The Core Mission of the Data Analyst

As a Data Analyst, you will be the analytical engine behind our most important client relationships. Your mission is to use data to prove the ROI of our cybersecurity training platform. You will navigate complex datasets using SQL to uncover how our training impacts human risk, then use your storytelling expertise to present these insights to executive level stakeholders.

Location & Work Mode
  • US (East Coast preferred)
  • Fully Remote
The Fellowship You’ll Be Joining

This role sits on our Federal Sales team, reporting to our SVP of Global Federal & SLED. The team consists of account executives and collaborates closely with BDRs, Solutions Engineers, and Customer Success. The role works closely with the Data Engineering team.

Technology Tools & Weapons You’ll Be Using
  • Looker (primary) and Tableau
  • SQL on BigQuery (Snowflake a plus / legacy)
  • Python for analysis, automation, and statistics
  • Excel for modeling and ad-hoc work
  • Comfort using AI-assisted tooling (LLM copilots) to accelerate analysis and prototyping
The Adventures That Await You After Becoming a Data Analyst at Hack The Box
  • Strategic client consultation — Partner with Federal agency stakeholders to translate compliance and security needs into data-driven success plans.
  • ROI modeling & data storytelling — Use SQL and Python to extract and shape large datasets, surfacing correlations between training engagement and reduced security incidents. Build interactive Looker/Tableau dashboards and presentations that make ROI legible at every level of the USG.
  • Actionable behavioral insights — Run deep-dive analysis on user behavior and simulation logs to identify high-risk cohorts, and give clients tailored recommendations to optimize their training curriculum based on engagement signals (completion velocity, adoption, drop-off).
  • Technical data integrity — Maintain rigorous data hygiene by auditing the flow of training telemetry from platform to reporting layer. Use Python/SQL for rapid prototyping of risk models and ad-hoc “what-if” analysis for client presentations.
  • Stakeholder & relationship management — Part of Executive Business Reviews (EBRs) where you will discuss the client’s progress and way forward, and partner with Product and Data Engineering to ensure platform telemetry keeps pace with the market’s reporting needs.
Skills, Knowledge, and Experience Required

Technical Mastery

  • Data Manipulation: Translate raw data into useful insights for executives; Expert-level SQL or Snowflake for querying complex relational databases; Experience with Python for data cleaning, automation, and statistical analysis.
  • Visualization: Mastery of Looker, or other visualization tools, to create “at-a-glance” executive views and deep-dive operational reports.
  • Tools: High proficiency in Excel (Pivot Tables, VLOOKUPs, modeling).

Soft Skills & Storytelling

  • Communication: Can command a room of senior leaders and explain technical data clearly and persuasively.
  • Presentation: Builds decks that tell a cohesive story — not just charts, but what they mean for the mission and for risk.
  • Stakeholder management: Skilled at managing expectations across diverse departments.

Domain Expertise

  • Customer success metrics: churn, adoption, engagement funnels, and learning outcomes.
  • Industry context: EdTech or cybersecurity exposure a plus.
What Your Hack The Box Adventure Will Have in Store
  • You will have the opportunity to contribute to a product that is highly appreciated by users and the cybersecurity community at large.
  • You will experience a highly supportive and caring environment, fostering growth, flexibility, and autonomy.
  • You will embark on an exciting journey of continuous learning and problem‑solving, leveling up as our organization grows.
  • Most importantly, you’ll have a blast at HTB because fun is an essential ingredient in our recipe for success. Just wait until you see our global meet‑ups.
Benefits
  • Compensation: USD 95,000 - 120,000 Gross Annual
  • Medical, Dental & Vision (employee coverage 100% paid for by Hack The Box)
  • 401K with employer match
  • Employer-paid Life and AD&D Insurance
  • Supplemental Life Insurance
  • Short-term and Long-term Disability
  • Healthcare and Dependent Care FSA
  • Paid paternity & maternity leave
  • 25 annual leave days
  • Home Office Allowance
  • Dedicated budget for training and professional development, participation in conferences
  • State-of-the-art equipment
  • Full access to the Hack The Box lab offerings; so you can learn how to hack
Equal Employment Opportunity Statement

At Hack The Box, we are committed to fostering a diverse, inclusive, and equitable workplace. We believe that diversity enriches our performance, services, and the communities we serve. As such, we ensure that all job applications are considered solely based on merit, skills, and qualifications. We do not discriminate on grounds of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We are dedicated to providing a fair and respectful work environment that reflects our values.

Hack The Box participates in E-Verify. For more information, please click here and here.

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