Ocean Blue Solutions Inc

Data Analyst - Onsite, OH

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst in Powell, OH, with a contract length of "unknown" and a pay rate of "unknown." Key skills include SQL, Python, data visualization (Tableau), and experience in healthcare. A Bachelor’s or Master’s degree is required.
🌎 - Country
United States
💱 - Currency
Unknown
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💰 - Day rate
Unknown
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🗓️ - Date
March 11, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Powell, OH 43065
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🧠 - Skills detailed
#Leadership #Datasets #Azure #Data Quality #Cloud #AWS (Amazon Web Services) #Data Analysis #Pivot Tables #Microsoft Power BI #Data Migration #Data Profiling #Data Integrity #SQL (Structured Query Language) #Scala #Python #SAS #"ETL (Extract #Transform #Load)" #Microsoft Excel #Snowflake #Tableau #Data Extraction #Migration #Data Design #Data Accuracy #BI (Business Intelligence) #Databricks #Visualization #Computer Science
Role description
Data Analyst - Onsite, OH 10 hours ago powell,oh Data Analyst Location: Powell, OH Job Description Overview: The Data Analyst plays a key role in turning data into actionable insights that support business decision-making. This role is responsible for querying, analyzing, and visualizing data to create meaningful dashboards and KPIs that align with organizational goals. The ideal candidate has a strong analytical foundation, is comfortable working with data visualization tools, and understands basic financial concepts to effectively interpret and communicate performance trends. This position partners closely with cross-functional teams to ensure data accuracy, clarity, and relevance. Responsibilities: The Data Analyst supports data-driven decision making across the agency by collecting, analyzing, and reporting on key operational, clinical, and financial metrics This position ensures the accuracy and integrity of data used for regulatory reporting, quality improvement, and strategic planning Identify data quality issues and collaborate with IT and program staff to resolve discrepancies or gaps Support agency initiatives related to performance measurement, quality improvement, and outcomes evaluation Provide data insights to inform decision-making, program design, and resource allocation Collaborate with leadership to define key performance indicators and ensure data is aligned with agency goals and strategic priorities Train staff on interpreting and using data effectively for program management and improvement Develop and maintain dashboards, scorecards, and performance report Data Design & Development Design, develop, and maintain data solutions across analytics, reporting, and data warehousing environments Perform hands-on development using SQL, Snowflake, Python, and SAS Build and support data models, pipelines, and integration processes Data Transformation & Quality Execute data migration, integration, and enrichment across complex datasets Perform data profiling, validation, and testing to ensure data integrity Support source-to-target mapping and reconciliation activities Analytics & Reporting Deliver analytical outputs and reporting to support business and regulatory needs Develop dashboards and visualizations (Tableau and other tools) Translate business requirements into scalable data solutions Collaboration & Delivery Partner with business, engineering, and program teams to meet delivery milestones Clearly document designs, logic, and testing outcomes Contribute to improving data standards, controls, and processes Qualifications Bachelor’s or Master’s degree in computer science, Information Management or related fields 1-3 years of experience in data reporting and analysis, preferably in healthcare is required Strong analytical and statistical skills, with the ability to translate complex data into actionable insights Proficiency in Microsoft Excel (pivot tables, VLOOKUP, advanced formulas). Proficiency in SQL and Python, with experience in database warehousing tools such as Snowflake, Databricks etc. Basic understanding of SQL for data extraction and manipulation. Proficiency in data visualization and reporting tools (e.g., Tableau, Power BI) Familiarity with cloud platforms and services (e.g., AWS, Azure, etc.). Excellent attention to detail and commitment to data integrity Strong communication skills with the ability to convey findings to non-technical audiences Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status