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Data Analyst Developer Jobs in Kentucky (NOW HIRING)

$150 - $200/hr

Partnership with analytics engineering * Work closely with analytics engineers on data modeling. You'll shape what gets built in the warehouse layer, not just consume it. * Turn recurring analytical ...

$100 - $125/hr

Investigate data quality issues and work with engineering to resolve them at the source * Document ... Strong proficiency in Python for data analysis (e.g. pandas, NumPy, Jupyter) * Hands-on experience ...

$60 - $80/hr

Five or more years of professional experience in data analytics, analytics engineering, business intelligence, or a related discipline. * Preferred Bachelor's degree in computer science, statistics ...

New

$125 - $150/hr

The Sr. Analyst, Data & Analytics Engineering provides strategic and tactical support to Vanscoy Rare Pharmacy and will report directly to the Data Analytics Manager. The Sr. Analyst, Data ...

$100 - $125/hr

Navigate cross-functional collaboration, bridging infrastructure, developer, and end-user needs to ... Strong analytical skills and a keen interest in understanding data in a business context

Data Analyst Senior

Lexington, KY · On-site

$75K - $94K/yr

Confer with systems analysts, engineers, programmers, and others to design applications that assess the validity of source data and subsequent findings. Identify hidden patterns or relationships in ...

$150 - $200/hr

We're hiring a Data Analyst to find the insights that drive our growth. You'll work directly with ... Work with engineering and design to build dashboards and frontend analytics that give customers a ...

$60 - $80/hr

Data Analyst Charlotte - Hybrid Full Time The Associate Level Data Analyst plays a vital role in ... Utilize scripting and programming languages for efficient day-to-day tasks and providing data ...

$100 - $125/hr

Stratolaunch is a technology accelerator that engineers operationally realistic testing at Mach 5+. ... Stratolaunch is seeking a level I or II Data Analyst to support air-launched hypersonic vehicles.

$100 - $125/hr

Pay Range: $78,100.00 - $128,500.00 The Analytics Engineer serves as the bridge between business stakeholders and enterprise data platforms, transforming complex data into scalable solutions, trusted ...

$100 - $125/hr

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 ...

$125 - $150/hr

This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and wrangling to data engineering, to data visualization ...

$100 - $125/hr

Bachelor's degree in Mathematics, Statistics, Business, Law, Engineering, Social Sciences, Physical ... data analysis or data visualization with Power BI, Excel, or Tableau preferred * Experience with ...

$60 - $80/hr

* Minimum Associate's degree with Bachelor's degree preferred in Data Analytics, Statistics, Computer Science, Engineering, Business Analytics, or a related field. * 1-5 years of experience with data ...

$100 - $125/hr

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business, Engineering, or a related field Amplytico participates in the E-Verify program Interested in the role? Amplytico ...

New

$80 - $100/hr

This role focuses on advanced data analysis, automation, and reporting to drive informed decision ... Write clean, efficient, and production-ready SQL (Amazon Redshift, Oracle SQL Developer) * Utilize ...

New

$80 - $100/hr

Data Analyst # Data AnalystFrederick , MD 21702## OverviewSalary Range$85,000.00 - $95,000.00 ... General Data Engineering & Reporting Responsibilities:* Utilize Microsoft Excel and Power Query to ...

$125 - $150/hr

ABOUT THE TEAM The Financial Data Analytics team is the connective tissue between Finance, Accounting, and Engineering. Our mission is to deliver trusted financial data that is both a foundation for ...

$100 - $125/hr

... programmer) or by generating cross-tabulations of the variables comprising the analysis variables. * Merge data from different sources into spreadsheets; conduct necessary steps to ensure quality of ...

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Data Analyst Developer information

See Kentucky salary details

$21

$47

$82

How much do data analyst developer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for data analyst developer in Kentucky is $47.55, according to ZipRecruiter salary data. Most workers in this role earn between $38.22 and $53.85 per hour, depending on experience, location, and employer.

What is a data analyst developer?

A Data Analyst Developer is a hybrid role that combines data analysis and software development skills. They collect, process, and analyze data to generate insights while also developing tools, scripts, or applications to automate data workflows. These professionals work with databases, SQL, Python, or other programming languages to optimize data processes. They collaborate with business teams to understand requirements and provide data-driven solutions. The role requires strong analytical thinking, problem-solving abilities, and technical expertise in data management and software development.

What are the day-to-day responsibilities of a data analyst developer?

As a Data Analyst Developer, you will spend your days transforming raw data into actionable insights by building and maintaining data pipelines, writing complex queries, and creating analytical reports or dashboards. You’ll frequently collaborate with business stakeholders to understand their information needs and with IT teams to ensure data infrastructure supports evolving requirements. Expect to troubleshoot data issues, optimize processes for efficiency, and stay current with new analytics technologies. This dynamic environment offers opportunities to work on diverse projects and contribute directly to your company’s strategic goals.

What are the key skills and qualifications needed to thrive as a data analyst developer?

To thrive as a Data Analyst Developer, you need strong analytical skills, proficiency in programming languages (such as SQL and Python), and a solid understanding of statistical methods, supported by a relevant degree in data science, mathematics, or computer science. Familiarity with data visualization tools (like Tableau or Power BI), experience in database management systems, and certifications such as Microsoft Certified Data Analyst can be advantageous. Effective communication, problem-solving, and collaboration skills are key soft skills for translating data findings into actionable insights. These abilities are crucial for helping organizations make data-driven decisions and build reliable analytical tools and solutions.

What does a data analyst developer do?

A data analyst developer combines skills in data analysis and software development to create tools and solutions for data collection, processing, and visualization. They often work with programming languages like Python or SQL, and use data visualization tools to help organizations make data-driven decisions.

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

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

What are popular job titles related to Data Analyst Developer jobs in KY?

For Data Analyst Developer jobs in KY, the most frequently searched job titles are:

Infographic showing various Data Analyst Developer job openings in Kentucky as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $98,902 per year, or $47.5 per hour.

$150 - $200/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago


Key responsibilities

  • Lead end-to-end analyses on high-stakes, often ambiguous questions, from framing the problem through recommendation and impact measurement.

  • Design dashboards and reporting frameworks that enable stakeholders to answer routine questions independently and recognize when dashboards are inappropriate.

  • Partner with analytics engineers to shape data models, turn recurring analytical needs into durable models, and ensure data consistency and quality.


Job description

Parachute Health is transforming post-acute care as the leading digital ordering platform for medical equipment and supplies. We connect major health systems, health plans, and suppliers to help patients get the life-saving products they need at home. Since launching, we've connected 300,000+ clinicians and 3,000+ supplier locations across all 50 states and helped 15M+ patients. What started as a DME ePrescribing tool has become the order management platform of choice for home medical equipment.

Join our team and make a difference in patient care.

About the Role

The Lead Data Analyst is the senior individual contributor on our Data Analytics team — a Level IV role on our analytics ladder, with no direct reports. You lead through expertise: setting the analytical bar, mentoring analysts, and being the person leadership comes to when a question needs a real answer rather than a guess.

Data Analytics sits under Revenue Operations, but we're a central function that supports the entire organization — clinical operations, supplier performance, payor and network data, product, finance, and go-to-market. The work is broad by design. The core of the job is being an excellent analyst: taking an ambiguous question from any corner of the business, building a rigorous analysis, and delivering a conclusion people can act on. We're hiring for analytical strength and range, not depth in one domain.

ResponsibilitiesAnalytical leadership
  • Lead end-to-end analyses on high-stakes, often ambiguous questions — from framing the problem through recommendation and impact measurement.
  • Design dashboards and reporting frameworks that let stakeholders answer their own routine questions without opening a ticket — and recognize when a dashboard is the wrong answer.
  • Set the bar for analytical rigor, methodology, and documentation. By example and by reviewing others' work, not by mandate.
  • Apply statistical methods, experimentation design, and causal inference where they sharpen a conclusion rather than decorate it.
  • Move between business domains and be credible in each, rather than owning one.
  • Partner with leadership to identify where data can drive efficiency, growth, and improve outcomes — including the questions nobody has asked yet.
Partnership with analytics engineering
  • Work closely with analytics engineers on data modeling. You'll shape what gets built in the warehouse layer, not just consume it.
  • Turn recurring analytical needs into durable models instead of one-off queries.
  • Hold a high standard for canonical definitions — when two reports disagree, you're the one who finds out why.
Team contribution (not people management)
  • Mentor analysts on technique and business judgment. You don't manage anyone — you're the person newer analysts learn from.
  • Translate findings into clear, concise language for both technical and non-technical audiences. If a new hire couldn't repeat the takeaway back to you, it isn't ready to ship.
  • Influence senior stakeholders, including being the one who says "the data doesn't support that" to someone who wanted a different answer.
What we're looking forExperience
  • 8+ years in data analysis, business intelligence, or a comparable analytical role, with a track record of insights that changed how a business made decisions.
  • 2+ years operating at a senior analyst level — owning complex projects end-to-end and holding others to a quality standard.
  • Experience supporting multiple business functions from a central analytics team.
  • Bachelor's degree in a quantitative or technical field, or equivalent experience.
  • Hands-on experience with modern cloud data warehouses (BigQuery, Snowflake, Redshift, or similar).
  • Nice to have: exposure to revenue and go-to-market data — pipeline, forecasting, funnel, retention, CRM.
Technical skills
  • Expert-level SQL. Strong Python for statistical work.
  • Advanced Looker or comparable BI tool experience — LookML, dashboard design, and semantic layer thinking.
  • Working knowledge of experimentation design and causal inference — enough to catch correlation being mistaken for causation.
  • Comfort collaborating with analytics engineers on data modeling and warehouse design.
How you work
  • You take a half-formed business question and turn it into a structured analysis without someone holding your hand.
  • You mentor without formal authority — people want your input because it's good, not because you outrank them.
  • You get up to speed on an unfamiliar part of the business quickly, and you'd rather serve ten stakeholders than one.
  • You operate well in ambiguity and move with urgency.

Comfort working with data adjacent to patient and healthcare information, and sound judgment about handling sensitive information, is a plus given our industry.

Benefits
  • Medical, Dental, and Vision Coverage: Comprehensive plans with options for low-to-no-cost premiums.
  • Employer HSA Contribution: Company-funded contributions to your Health Savings Account.
  • 401(k) Retirement Plan
  • Equity Incentive Plan
  • Annual Company-Wide Bonus: Opportunity for up to 15% bonus based on company performance.
  • Remote-First Culture: We are remote-first with a dedicated NYC office and reimbursement options for co-working spaces.
  • Flexible Vacation Policy
  • Summer Fridays: 5 additional Fridays off during the summer (separate from PTO).
  • Home Office and Wellness Stipend
  • Monthly Internet Stipend
  • Annual Learning and Development Stipend

Base Salary Bands (based on experience and level)

$160,000 - $200,000

California job applicants may access the Notice of Collection of Personal Information and Privacy Policy with information and rights required by the California Privacy Rights Act (CPRA) the link here.

We are proud to be an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth related medical conditions and lactation), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.

This role is not eligible for employer visa sponsorship. Applicants must be legally authorized to work in the United States at the time of application and for the duration of employment. The Company does not sponsor employment authorization for this position.

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