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Hourly Data Analytics Jobs in Kentucky (NOW HIRING)

$135 - $231/hr

Seeking a dynamic, goal-oriented Director, Data Analytics to work on health and human services projects requiring intermediate SAS, R, Python, or SQL experience as well as knowledge of statistics and ...

$135 - $231/hr

Seeking a dynamic, goal-oriented Director, Data Analytics to work on health and human services projects requiring intermediate SAS, R, Python, or SQL experience as well as knowledge of statistics and ...

$110 - $165/hr

Primary Function The Enterprise Data Analytics & Automation Specialist is a senior-level individual contributor responsible for connecting ERP systems to scalable analytics and automation platforms ...

New

$138 - $200/hr

Experience selling data analytics or data management technologies to clients. Preferred qualifications: * Experience carrying and exceeding business goals in a sales role. * Experience supporting ...

$150 - $220/hr

What Will You Do? As a Director of Data & Analytics at Jackpot, you will set the vision and strategy for Data Analytics and Data Science while partnering with Data Engineering to modernize ...

$75 - $120/hr

Develop and maintain data analytics solutions focused on enabling decision making, optimization, and measurable business impact for key functional and business stakeholders. * Develop and maintain ...

New

$110 - $160/hr

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 ...

New

$73 - $149/hr

... Data Analytics lab is responsible for providing data analytics support for projects related to investigations and litigation cases This includes supporting projects from initiation to closure ...

$69K - $87K/yr

Institutional Analytics and Stakeholder Partnership : Partners with leadership and staff across ... Data Assets: Designs, builds, and maintains data assets in the Tableau data ecosystem for senior ...

$160 - $200/hr

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 ...

$120 - $180/hr

Own end-to-end analytics across product, marketing, and business operations. * Design and maintain ... Ensure data accuracy, quality, and accessibility across all tools and reporting layers. * Evaluate ...

$80 - $110/hr

AVP of RCM Analytics You must reside in one of these states to be eligible for this position ... The RCM Senior Data Analyst supports the Revenue Cycle Management Analytics team by providing ...

New

$99 - $148/hr

Advanced coursework or certification in data management, data analytics, or health informatics**Training****Required:*** Working knowledge of SQL for data querying, validation, and analysis*

$70 - $121/hr

Role Overview The Data & Business Analyst is responsible for supporting business decision-making through data analysis, reporting, and business process improvement. This role serves as a bridge ...

$132 - $178/hr

Design and build scalable analytics solutions, automation pipelines, and self-service tools that empower internal teams and stakeholders. * Cross-Functional Collaboration: Partner with Product, Data ...

New

$132 - $178/hr

Design and build scalable analytics solutions, automation pipelines, and self-service tools that empower internal teams and stakeholders. * Cross-Functional Collaboration: Partner with Product, Data ...

New

$62 - $141/hr

Data Analyst Data Analyst The Opportunity: As data analyst, you love diving into data and turning it into meaningful insights. With the abundance of structured and unstructured data, you understand ...

New

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Showing results 1-20

Hourly Data Analytics information

What is hourly data analytics?

Hourly data analytics refers to the process of collecting, analyzing, and interpreting data on an hourly basis to monitor trends, performance, and patterns within that specific timeframe. This approach is commonly used in industries such as retail, IT, and manufacturing to spot hourly fluctuations, optimize operations, and make timely decisions. Hourly data analytics can help organizations quickly identify issues or opportunities and respond proactively, improving overall efficiency and outcomes.

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

To thrive as an Hourly Data Analyst, you need strong analytical abilities, proficiency with data manipulation, and a foundational understanding of statistics, often supported by a degree in a quantitative field. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is typically required. Attention to detail, problem-solving, and effective communication are crucial soft skills that set top performers apart. These skills and qualities are important to ensure accurate data insights, efficient task completion, and clear reporting to stakeholders.

What are some common challenges faced in an hourly data analytics role, and how can I prepare for them?

In an hourly data analytics role, a common challenge is managing multiple short-term projects with tight deadlines, as tasks often shift based on immediate business needs. You'll need to quickly analyze datasets, generate actionable insights, and communicate findings to different stakeholders, sometimes with limited context. To succeed, focus on honing your time management, adaptability, and clear communication skills. Being comfortable with learning new analytics tools on the fly and collaborating with cross-functional teams will also help you thrive in this dynamic environment.

What is the difference between Hourly Data Analytics vs Data Analyst?

AspectHourly Data AnalyticsData Analyst
Work HoursTypically hourly, flexible shiftsUsually full-time, standard hours
CertificationsRelevant certifications (e.g., Google Data Analytics)Same certifications often required
Work EnvironmentContract or freelance settings, remote or onsiteCorporate or organizational settings, office or remote
Job ScopeProject-based, task-specificBroader analysis responsibilities

Hourly Data Analytics and Data Analyst roles share similar skills and certifications but differ mainly in work hours and employment type. Hourly Data Analytics offers flexible, project-based work, while Data Analysts often work full-time in organizational settings. Both roles require comparable analytical skills and certifications, making them closely related in the data industry.

What are the most commonly searched types of Data Analytics jobs in Kentucky?

The most popular types of Data Analytics jobs in Kentucky are:

What cities in Kentucky are hiring for Hourly Data Analytics jobs?

Cities in Kentucky with the most Hourly Data Analytics job openings:

$135 - $231/hr

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Retirement

This job post has expired today. Applications are no longer accepted.


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

131st of 494 rated machine equipment manufacturers


Job description

We'll put you in the driver's seat on vital projects that have strategic importance to our mission of helping people lead healthier lives. Yes, we share a mission that inspires. We need your organizational talents and business discipline to help fuel ours. For those who want to invent the future of health care, here's your opportunity. We're going beyond basic care to health programs integrated across the entire continuum of care. Join us to start Caring. Connecting. Growing together.

The Lewin Group/OptumServe Consulting, a premier national health care and human services consulting and policy analysis firm with 50 years of experience, finds answers and solves problems for leading organizations in the public, non-profit, and private sectors. Seeking a dynamic, goal-oriented Director, Data Analytics to work on health and human services projects requiring intermediate SAS, R, Python, or SQL experience as well as knowledge of statistics and research methodology.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.

For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Schedule: Monday - Friday, daylight hours in your time zone

Primary Responsibilities:
  • Independently perform a broad range of quantitative analysis to inform the design, implementation, and evaluation of Medicare and Medicaid payment models
  • Develop strategic working relationships with clients
  • Design payment calculations, conduct financial and trend analysis, calculate quality metrics, and perform fast-paced ad-hoc analysis to quickly address client needs
  • Efficiently query large databases of healthcare claims and eligibility data
  • Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy
  • Mentor other staff to develop their technical and analytical problem‑solving skills
  • Write detailed specifications and documentation of data processing and analytical steps
  • Write effective and efficient code both independently and under the guidance of project managers using best practice quality control procedures
  • Maintain a consistently high degree of accuracy and attention to detail in all tasks
  • Work effectively and cooperatively as a member of a project team
  • Help to oversee adoption of artificial intelligence into technical activities
Required Qualifications:
  • 8+ years of experience using SQL, Python, R or SAS in a research, consulting, or business environment
  • 6+ years of experience working on federal health policy issues, including Medicare and Medicaid value-based payment, working in multiple areas serving as a subject matter expert
  • Experience working with Medicare or Medicaid healthcare claims and enrollment data
  • Experience working with and advising clients
  • Experience in managing personnel
  • Extensive knowledge of healthcare data/payment concepts (e.g., claims data structure/contents, claim types, payment concepts)
  • Experience managing and working directly with teams operating in Snowflake and/or Databricks environments.
  • Experience incorporating AI into technical workflows.
  • Excellent written and oral communication skills, including the ability to clearly communicate analyses and findings to clients
Preferred Qualifications:
  • Academic coursework in advanced statistics or econometric modeling
  • Experience supporting multi-year payment model implementation contracts
  • Experience leading statistical analysis to inform health policy
  • Experience with databases having complex structures and relationships, such as the Integrated Data Repository, Chronic Conditions Warehouse, or similar data environment
  • Experience working with Github
  • Familiarity with Medicare payment methodologies

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc.

  • In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements).
  • No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives.

The salary for this role will range from $134,600 to $230,800 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline

This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

OptumCare is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

OptumCare is a drug‑free workplace. Candidates are required to pass a drug test before beginning employment.

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