data analytics specialist

Community Health Center of Southeast Kansas

<div>Description:

This position will be full time (40 hours per week) on site in Pittsburg, Kansas for at least the first 6 months of employment. May become eligible for remote or hybrid work arrangement, but employee must reside within Kansas, Oklahoma, Missouri, or Arkansas. If remote or hybrid work arrangement is approved, employee will be expected to report to Pittsburg, Kansas upon request and may be called back to working in Pittsburg, Kansas location full time.
CORE VALUES
The core values of Community Health Center of Southeast Kansas (CHC/SEK) are dignity and stewardship. Each staff member is expected to perform their job duties in a way that preserves dignity for our patients and maintains good stewardship of the organization&rsquo;s resources.
GENERAL DESCRIPTION OF POSITION
CHC/SEK is dedicated to leveraging data to drive decision-making and optimize performance. The Data and Analytics Specialist will manage complex data and deliver insights that shape our strategies and initiative, enhancing business &amp; clinical operations. This position will play a key role and support the organization in value-based care arrangements. This position collaborates with various departments to recognize opportunities for process improvement by identifying trends and patterns in complex data sets.
Requirements:

ESSENTIAL DUTIES<ul><li>
Extract, compile, analyze, manipulate, and maintain data from multiple systems for regular and custom reporting.</li><li>
Analyze clinical, operational, financial, and other business data to identify trends, patterns, and opportunities for improvement with the ability to translate data findings into insights.</li><li>
Develop, maintain, and distribute routine and ad hoc reports, dashboards, and other visuals to support organizational goals and decision making, enhancing operational efficiency and stewardship, assist with strategic planning, forecasting, and predictive analytics.</li><li>
Assist in the preparation and validation of reports required for regulatory agencies, such as UDS, HRSA, CMS, and other grant-related or required reporting.</li><li>
Monitor and evaluate data accuracy and data downloads across systems, identifying discrepancies and collaborate with other departments to resolve data quality and software, hardware concerns.</li><li>
Prepare and present reports on data findings into relevant and easy to understand information.</li><li>
Provide training and tools for interpretation and self-service analytics, developing user guides for internal reporting systems and dashboards.</li><li>
Collaborate with departments to understand data and reporting needs, support initiatives, champion data-informed decision making, and supply high-quality output solutions.</li><li>
Provide recommendations on data analytics tools, new functionality, streamlined approaches, and emerging technologies to enhance analytics capabilities.</li></ul>
The essential functions listed are not an exhaustive list of every task the employee is required to complete. Employees are expected to perform all other duties as assigned.
QUALIFICATIONS<ul><li>
Bachelor&rsquo;s degree in Data Science, Health Informatics, Statistics, Business, or related field</li><li>
Minimum of 5 years&rsquo; experience in data analytics or a related field, strongly preferred experience in healthcare.</li><li>
Experience and strong proficiency in data visualization tools (e.g. Tableau, Power BI), statistical programming languages, data warehousing, data mining, predictive modeling techniques, and SQL.</li></ul>
KNOWLEDGE, SKILLS AND ABILITIES<ul><li>
Social and cultural sensitivity appropriate to ethnically and economically diverse patient-and employee-base</li><li>
Must be organized and able to manage/prioritize tasks to meet deadlines, adapts to change in a positive manner, able to work as part of a team.</li><li>
Communicates through appropriate channels.</li><li>
Must have high analytical skills and be proficient with the organization&rsquo;s electronic health record.</li><li>
Must be able to maintain good inter-personal relationship with co-workers and other members of the health care team and the organization.</li><li>
Provide customer service in accordance to the organization&rsquo;s mission.</li><li>
Be courteous and respectful when interacting with internal and external customers.</li><li>
Maintain patient confidentiality in accordance to organization&rsquo;s policy and procedure and HIPAA requirements.</li><li>
Excellent understanding of data warehousing, data mining, and predictive modeling techniques</li><li>
Exceptional analytical and problem-solving abilities with a strong attention to detail</li><li>
Experience in converting raw data into visually appealing dashboards, reports, and visualization that allow for actionable insights.</li></ul>
WORKING CONDITIONS
While performing the duties of this job, the employee is regularly required to sit, up to entire shift; use hands to finger, handle, or feel; reach with hands and arms and talk or hear. The employee is occasionally required to stand and walk. Prolonged computer use up to entire shift. The employee must regularly lift and/or move up to 10 pounds and occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception and ability to adjust focus. Hazardous material inventory and MSDS available. Wears personal protective equipment as needed. May be exposed to patients/public with communicable diseases.</div>

Data and Analytics Specialist

CornerStone Technology Talent Services

<div>
 
 
 Job Title:
 
 Data Analyst / Analytics Specialist (2&ndash;5 Years Experience)
 
 
 
 Employment:
 
 Contract
 
 
 
 Location:
 
 Hybrid &ndash; Boston, MA
 
 
 
 
 
 
 Bring Data to Life with Us!
 
 
 
 Are you passionate about turning raw data into actionable insights that help businesses make smarter decisions? We&rsquo;re looking for a talented Data Analyst / Analytics Specialist to join our team. You&rsquo;ll work on real-world problems, collaborate with cross-functional teams, and create reports and dashboards that directly influence business outcomes.
 
 
 This role is perfect for someone who enjoys digging into data, uncovering trends, and building solutions that make an impact&mdash;while working in a supportive, collaborative environment.
 
 
 
 
 
 
 What You&rsquo;ll Be Doing:
 
 
 <ul>
 <li>
 Analyze complex datasets to find patterns, trends, and actionable insights
 </li>
 <li>
 Clean, transform, and structure data for reporting and analytics projects
 </li>
 <li>
 Build and maintain reports, dashboards, and data models to support decision-making
 </li>
 <li>
 Translate business needs into clear analytics solutions and KPIs
 </li>
 <li>
 Work closely with different teams to support data-driven initiatives
 </li>
 <li>
 Ensure data accuracy, quality, and governance across projects
 </li>
 <li>
 Automate reporting and streamline workflows where possible
 </li>
 <li>
 Prepare datasets for advanced analytics and data science efforts
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For:
 
 
 <ul>
 <li>
 2&ndash;5 years of experience in data analytics or business analysis
 </li>
 <li>
 Strong SQL skills for querying and manipulating data
 </li>
 <li>
 Experience in the pharmaceutical or healthcare industry is a plus
 </li>
 <li>
 Familiarity with data visualization tools like Power BI, Tableau, or similar
 </li>
 <li>
 Understanding of data structures, data quality, and governance best practices
 </li>
 <li>
 Ability to translate business questions into data solutions
 </li>
 <li>
 Knowledge of statistical analysis or basic data modeling concepts
 </li>
 <li>
 Detail-oriented with strong problem-solving skills
 </li>
 <li>
 Comfortable working in Agile or fast-paced environments
 </li>
 </ul>
 
 
 
 
 
 Nice-to-Have Skills:
 
 
 <ul>
 <li>
 Experience with enterprise-scale data environments
 </li>
 <li>
 Familiarity with scripting or automation (Python, R, or similar)
 </li>
 <li>
 Knowledge of modern data ecosystems, including cloud platforms
 </li>
 <li>
 Ability to explain complex insights to technical and non-technical stakeholders
 </li>
 </ul>
 
 
 
 
 
 What You Can Expect:
 
 
 <ul>
 <li>
 Work on meaningful projects that impact business decisions
 </li>
 <li>
 Gain hands-on experience with modern analytics tools and technologies
 </li>
 <li>
 Collaborate in a supportive, team-oriented environment
 </li>
 <li>
 Flexible hybrid work setup in Boston, MA
 </li>
 </ul>
</div>

Data Analyst

Green Wave Ingredients

Company InformationIngredients Online, operated by Green Wave Ingredients, is a leading B2B e-commerce marketplace connecting buyers and sellers of raw ingredients across dietary supplements, food &amp; beverage, animal nutrition, and personal care industries. We are revolutionizing ingredient sourcing through digital innovation, global reach, and supply chain transparency.Position OverviewWe are seeking a highly skilled and experienced Google Analytics Specialist to join our Data Science Team. In this role, you will manage our web tracking and analytics reporting. The ideal candidate will possess a strong background in JavaScript, a proven track record of implementing advanced Google Analytics event tracking, and expertise in leveraging data to drive business growth. This role is critical in ensuring accurate data collection, generating actionable insights, and optimizing our online presence.Scope of Work:<ul><li>Develop and implement advanced Google Analytics event tracking strategies to capture detailed user interactions and behavior on our B2B e-commerce platform.</li><li>Configure and manage Google Tag Manager (GTM) to ensure accurate and efficient tracking of events, tags, and data collection.</li><li>Design, build, and maintain comprehensive reports and dashboards in Google Analytics 4 (GA4) and Looker Studio to visualize key performance indicators (KPIs) and provide actionable insights to stakeholders.</li><li>Utilize strong JavaScript skills to implement custom tracking solutions, manipulate data layer information, and enhance data collection capabilities within GTM and Google Analytics.</li><li>Assess and optimize existing Google Analytics tracking setups, including events, tags, and data collection strategies, to improve data accuracy and consistency.</li><li>Conduct rigorous testing (unit and end-to-end) to ensure data integrity and efficient tracking performance.</li><li>Document technical setups and provide clear guidelines for future enhancements and scalability.</li><li>Collaborate with cross-functional teams (Marketing, Product, Operations) to ensure seamless data flow across systems and alignment of tracking with business goals.</li><li>Leverage BigQuery to process, query, and structure large-scale analytics data for in-depth business analysis.</li><li>Pull and transform Google Analytics data from BigQuery into the enterprise data warehouse for centralized reporting and analytics.</li><li>Monitor key performance metrics, ensuring tracking systems continuously align with evolving business KPIs.</li></ul>Qualifications<ul><li>Over 3 years of professional experience in a similar role, with a focus on Google Analytics, Google Tag Manager, and data visualization.</li><li>Expertise in Google Platform tools, including Google Analytics (GA4), Google Tag Manager, BigQuery, and Google Search Console.</li><li>Strong proficiency in JavaScript for implementing custom tracking solutions and manipulating data.</li><li>Proven ability to set up and manage advanced Google Analytics event tracking.</li><li>Proficiency in Looker Studio and Tableau for analysis and visualization.</li><li>Strong understanding of e-commerce analytics, digital marketing metrics, and website tracking.</li><li>Ability to interpret business requirements and translate data into actionable insights and recommendations.</li><li>Strong analytical mindset and problem-solving skills.</li><li>Excellent communication and presentation skills, with the ability to convey complex data in a clear and concise manner.</li></ul>Job Type: Full-timePay: E&pound;42,022.08 - E&pound;47,274.84 per monthApplication Question(s):<ul><li>Do you have experience in Google Platform tools, including Google Analytics (GA4), Google Tag Manager, BigQuery, and Google Search Console?</li><li>Are you proficient in JavaScript for implementing custom tracking solutions and manipulating data?</li><li>Do you have the ability to set up and manage advanced Google Analytics event tracking?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>google analytics: 3 years (Required)</li></ul>Work Location: Remote

Google Analytics Specialist

Scaleup Connect

Data Insights &amp; Strategy Specialist Location: Lahore, Pakistan Department: Data &amp; Strategy / Business Intelligence Experience Required: 3&ndash;5 Years Education: Bachelor&rsquo;s degree or higher in Statistics, Mathematics, Computer Science, or a related quantitative fieldRole SummaryScaleup Connect is hiring a Data Insights &amp; Strategy Specialist for one of its clients based in Lahore. This role will drive full-cycle data governance across the Sell-in to Sell-out (ST1-SO) ecosystem, transforming complex datasets into actionable business insights. The position combines advanced analytics, predictive modeling, and strategic thinking to support business growth, operational efficiency, and risk mitigation.The ideal candidate will act as a bridge between data and business strategy, enabling leadership, sales, and supply chain teams to make informed, data-driven decisions.Key ResponsibilitiesEnd-to-End Data Governance<ul><li>Own and manage the ST1-SO data lifecycle, ensuring data accuracy, integrity, and consistency across systems.</li><li>Develop and maintain standardized analytical frameworks for monitoring business performance.</li><li>Produce high-quality weekly and monthly operational reports that clearly explain underlying performance drivers.</li></ul>Deep Diagnosis &amp; Growth Opportunity Identification<ul><li>Conduct multi-dimensional data analysis across cities, product lines, and sales channels.</li><li>Identify business anomalies, operational inefficiencies, and hidden growth opportunities.</li><li>Provide strategic recommendations based on robust analytical insights.</li></ul>Algorithmic Modeling &amp; Risk Warning Systems<ul><li>Design and optimize sales forecasting models to improve demand planning accuracy.</li><li>Build intelligent replenishment logic and inventory alert mechanisms to enhance operational efficiency.</li><li>Apply predictive analytics to reduce operational risks and improve inventory turnover.</li></ul>Business Empowerment &amp; Decision Support<ul><li>Act as a translator between data and business teams, converting complex analytics into clear, actionable insights.</li><li>Partner with Sales, Operations, and Supply Chain teams to support strategic planning and execution.</li><li>Develop dashboards and insights that guide operational decision-making.</li></ul>Strategy Execution &amp; Alignment<ul><li>Translate company strategy into quantifiable KPIs and performance tracking frameworks.</li><li>Monitor progress against strategic targets and provide insights that ensure cross-functional alignment with organizational goals.</li></ul>QualificationsEducation &amp; Experience<ul><li>Bachelor&rsquo;s degree or higher in Statistics, Mathematics, Computer Science, or a related field.</li><li>3&ndash;5 years of experience in data analysis, business intelligence, or strategic analytics roles.</li></ul>Technical Skills<ul><li>Advanced proficiency in SQL and Excel (VBA / Power Query).</li><li>Strong experience with BI visualization tools such as Tableau or Power BI.</li><li>Experience with Python or R for predictive modeling is highly preferred.</li></ul>Analytical &amp; Business Skills<ul><li>Strong logical and analytical thinking, with the ability to extract meaningful insights from complex datasets.</li><li>Ability to quickly identify core business challenges and opportunities within fragmented data environments.</li><li>Strong understanding of business performance metrics and operational drivers.</li></ul>Professional Attributes<ul><li>High level of professional accountability and data accuracy standards.</li><li>Ability to thrive in fast-paced, high-pressure environments.</li><li>Excellent cross-functional collaboration and influence skills.</li></ul>Preferred Qualifications (Bonus)<ul><li>Experience building data analysis systems or analytics frameworks from scratch (0&rarr;1).</li><li>Prior exposure to retail operations, channel management, or distribution analytics.</li></ul>Job Type: Full-timePay: Up to Rs130,000.00 per monthWork Location: In person

Data Insights & Strategy Specialist

MedNet Egypt L.L.C

<div>
 
 
 MedNet Egypt
 
 is one of the leading managed care service organizations that caters to healthcare needs. We are looking for a skilled
 
 Data Governance Specialist
 
 who will be responsible for establishing, implementing, and maintaining a comprehensive data governance framework across the organization. The role ensures that enterprise data is accurate, consistent, secure, compliant, and strategically aligned with business needs, particularly across claims, prior authorization, membership, provider, and financial domains.
 
 
 
 
 
 
 Your Job
 
 
 
 
 
 <ul>
 <li>
 Develop and maintain enterprise data governance policies, standards, and procedures.
 </li>
 <li>
 Define data ownership, stewardship models, classification standards, and data lifecycle rules.
 </li>
 <li>
 Establish governance processes supporting the data warehouse and analytics ecosystem.
 </li>
 <li>
 Define enterprise data quality KPIs.
 </li>
 <li>
 Implement data quality monitoring and issue resolution processes.
 </li>
 <li>
 Lead root-cause analysis and continuous improvement initiatives across domains.
 </li>
 <li>
 Build and maintain an enterprise business glossary and data dictionary.
 </li>
 <li>
 Maintain metadata repositories and data lineage maps.
 </li>
 <li>
 Ensure consistency in terminology and KPI definitions.
 </li>
 <li>
 Ensure data practices comply with regulatory and internal security requirements.
 </li>
 <li>
 Partner with Compliance and IT Security to manage access controls and retention policies.
 </li>
 <li>
 Support audits and readiness activities.
 </li>
 <li>
 Work closely with Data Engineering to embed governance rules into pipelines.
 </li>
 <li>
 Collaborate with BI teams to standardize reporting and KPI definitions.
 </li>
 <li>
 Ensure governance alignment across operational, medical, network, and finance functions.
 </li>
 </ul>
 
 
 
 
 
 Your Profile
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Management, Information Systems, Computer Science, or related field.
 </li>
 <li>
 1 to 3 years of experience in data governance or related roles.
 </li>
 <li>
 Experience in health insurance or TPA environments preferred.
 </li>
 <li>
 Strong understanding of data governance frameworks (e.g., DAMA principles).
 </li>
 <li>
 Knowledge of data warehousing, ETL processes, and BI environments.
 </li>
 <li>
 Experience with metadata and data quality tools.
 </li>
 <li>
 Familiarity with structured and unstructured data flows.
 </li>
 <li>
 Understanding of health insurance operations, claims, authorizations, and provider data.
 </li>
 </ul>
</div>

Data Governance Specialist

Valore Partners

<div>
 
 Work Site Details: 2 days/Week onsite in Tempe, AZ
 
 
 
 Overview:
 
 
 We are looking to hire a Power BI &amp; SSRS migration specialist on a two-year contract. The role centers on retiring a legacy SSRS reporting platform by rebuilding reports in Power BI as paginated reports via Report Builder or as interactive dashboards where appropriate. This is technical, execution-driven work, meaning accuracy and functional equivalence come first. Strong SQL, DAX, and data validation skills are also essential, along with the ability to document your work and train internal staff.
 
 
 
 Key Responsibilities:
 
 
 
 
 <ul>
 <li>
 Migrate existing SSRS reports to Power BI Paginated Reports using Power BI Report Builder, ensuring functional equivalence, accuracy, and optimized performance
 </li>
 <li>
 Redesign selected SSRS reports into interactive Power BI dashboards, applying BI design standards and visual storytelling techniques
 </li>
 <li>
 Validate data accuracy and reconcile results with legacy SSRS outputs
 </li>
 <li>
 Collaborate with business analysts and data stewards to confirm business logic, metrics, and data definitions
 </li>
 <li>
 Apply Power BI best practices, including semantic model usage, row-level security (where applicable), parameterization, report navigation, and DAX optimization
 </li>
 <li>
 Document report logic, data sources, transformation logic, and user instructions
 </li>
 <li>
 Provide knowledge transfer and training to internal staff as needed
 
 
 
 
 </li>
 </ul>
 
 Required Skills:
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Information Systems, Computer Science, Data Analytics, or a related field (or equivalent experience)
 </li>
 <li>
 3+ years of experience with SSRS and Power BI
 </li>
 <li>
 Hands-on experience building Power BI Paginated Reports (Power BI Report Builder), including SSRS conversion
 </li>
 <li>
 Experience developing interactive Power BI reports and dashboards
 </li>
 <li>
 Strong SQL skills, including query development and performance tuning
 </li>
 <li>
 Proficiency in DAX, Power Query, and Power BI semantic model integration
 </li>
 <li>
 Ability to analyze legacy SSRS reports and determine appropriate modernization approaches
 </li>
 <li>
 Experience working with enterprise BI standards and report lifecycle management
 </li>
 <li>
 Ability to interpret and validate business rules from existing reporting implementations
 </li>
 <li>
 Strong communication and collaboration skills
 
 
 
 
 </li>
 </ul>
 
 Bonus Skills:
 
 
 
 
 <ul>
 <li>
 Experience with Power BI Premium or Microsoft Fabric capacity
 </li>
 <li>
 Familiarity with shared Power BI datasets (semantic models)
 </li>
 <li>
 Knowledge of Power BI security models and row-level security
 </li>
 <li>
 Familiarity with Agile delivery and Azure DevOps
 
 
 
 
 </li>
 </ul>
</div>

Data Visualization Specialist (Power BI)

KAUST (King Abdullah University of Science and Technology)

<div>
 
 
 Job Purpose
 
 
 
 The KAUST Coral Restoration Initiative (KCRI) is a large-scale coral reef restoration program in the Red Sea in the Kingdom of Saudi Arabia (KSA). KCRI was established in 2021 and is funded by King Abdullah University of Science and Technology (KAUST),a world-class graduate research university in Thuwal, Saudi Arabia. The KCRI will take place at Shusha Island, in partnership with NEOM, a region in northwest Saudi Arabia that is being sustainably developed from the ground up with the world&rsquo;s most advanced technologies to redefine how people live, work, and play.
 
 
 
 
 
 Digital technologies play a key role in supporting this ambitious project. As part of the program, we are developing a digital twin of the coral reef system. The digital twin of the coral reef and nurseries is a virtual replica that collects, displays, analyses, and interacts with real-world data. It will serve as the centralhub of the project, aggregating data from the coral reefs to generate actionable insights for strategy and planning. The digital twin supports coral reef monitoring and protection, facilitates coral restoration management, enables research, and provides KCRI with a platform and portal to engage the public and other stakeholders.
 
 
 
 
 
 In the Monitoring Visualization and Database Management Team, the Data Scientist &amp; Data Manager leads the data science, analytics, and data management work. The role ensures data quality and governance and develops the analytics layer that makes the digital twin intelligent by integrating models and smart analytics. It acts as the main point of contact for all data science and analytics, maintaining data integrity, advancing AI/ML development, and delivering insights that help users understand reef health and support restoration operations.
 
 
 This role will be a part of KCRI&rsquo;s Monitoring, Visualization, and Database Management Team, but will work across all project teams to aid in data continuity across the project. This role is based at KAUST but may require travel to our project site in NEOM periodically to support project needs.
 
 
 
 
 
 
 Major Accountabilities
 
 
 
 The KAUST Coral Restoration Initiative&rsquo;s Data Scientist and Data Managerspecific responsibilities include:
 
 <ul>
 <li>
 Define and oversee the data strategy, architecture, and governance framework for the digital twin.
 </li>
 <li>
 Own the analytics and AI/ML layer, integrating modelsand smart analyticsto make the platform intelligent and predictive.
 </li>
 <li>
 Engage with digital twin users to identify, prioritise, and translate AI/MLuse cases into practical solutions.
 </li>
 <li>
 Develop and manage the roadmap for ML models,analytics, and data tools, ensuringalignment with project goals.
 </li>
 <li>
 Engage with domain expertsto ensure data quality, integrity, and validity
 </li>
 <li>
 Manage relationships with external modelling contractors, serving as the primary contact for data science and analytics guidance.
 </li>
 <li>
 Ensure data quality, accessibility, and interoperability through strong data management practices, cataloguing, and metadata standards.
 </li>
 <li>
 Responsible for performing statistical analysis for our program and developing data incites beyond basic dashboards.
 </li>
 </ul>
 <li>
 </li>
 
 
 Person Requirements
 
 
 
 Competencies
 
 <ul>
 <li>
 Works well in a fast-paced and diverse team environment yet can progress individually on tasks
 </li>
 <li>
 Pays close attention to detail
 </li>
 <li>
 Excellent English written and verbal communication skills
 </li>
 <li>
 Ability to be adaptable in challenging and remote environments that will be developing during the life of the project
 </li>
 <li>
 Ability to organize workload, adapt quickly to change, and deliver under the pressure of deadlines
 </li>
 <li>
 High problem-solving and time management skills
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Advanced degree in Computer Science, Data Science, Information Systems, Statistics, or Mathematics.
 </li>
 </ul>
 
 
 
 
 
 Experience
 
 
 <ul>
 <li>
 8+ years in data science/management with leadership experience
 </li>
 <li>
 Strong in Python/R and ML frameworks (scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Experience handling large-scale datasets and analytics pipelines
 </li>
 <li>
 Experienced in ML/ LLMdevelopment and maintenance with strong data management expertise
 </li>
 <li>
 Expertise in relational and spatial databases (PostgreSQL/PostGIS).
 </li>
 <li>
 Cloud infrastructure experience (AWS, Azure,GCP, Data Bricks).
 </li>
 <li>
 Excellent communication and stakeholder engagement.
 </li>
 <li>
 Practical experience with ecological datasets preferred
 </li>
 </ul>
 
 
</div>

Data Scientist & Data Manager

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