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ASSYST is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin or any other characteristic protected under federal, state, or applicable local law.
Role Description ASSYST is seeking a Senior Master Data Management (MDM) Solutions Analyst to support our client project in Austin, TX. This position is remote. The resource will serve as a senior master data management (MDM) administrator/developer, and a critical liaison between technical IT and non-technical program staff mastering complex member and provider data sources across the departments and agencies. This role empowers client’s staff to effectively determine client and provider identity crosswalks across application sources, for developing integrated agency analytical reporting and strategic decision-making. The ideal candidate has strong MDM and SQL skills, a deep understanding of client’s programs and data, strong history of data profiling across client’s data domains, with exceptional communication abilities to bridge the gap between technical data systems and operational users in the emerging context of AI. Responsibilities - Strategic Liaison and Translation: - Work with program areas, project sponsor and system SMEs to understand member and provider data domains and common data identity issues. - Explain technical findings and data limitations in simple, non-technical language to end-users. - Data Reporting and Visualization: - Extract, integrate, and analyze member and provider identity data from multiple complex internal and external sources to support client’s analytics needs. - Collaborate with end-users and performance analysts or IT internal leaders to create visualizations showing member and provider profiles for constantly emerging analytics needs. - Provide subject matter expertise on validating output from AI, particularly with respect to identifying and mitigating hallucinations. - Ensure all data identities adhere to agency data standards, data governance, and compliance regulations. - Data Literacy and Training: - Champion data identity across the organization by developing and conducting training sessions for non-technical staff. - Create clear, comprehensive documentation and tutorials on using master data for data integrations. - Promote a data-driven culture by enabling and empowering all employees to effectively utilize master data tools and AI. - Collaboration and Problem-Solving: - Work closely with data engineering, IT, and Program teams to troubleshoot data identity issues and address inconsistencies and mitigation strategies. - Provide expert guidance to program staff on interpreting data identity trends and answering complex identity questions. - Stay up to date on new AI and data identity tools and techniques to continuously improve data integrations, data quality and reporting. - AI Prompting and Data Synthesis: - Develop and refine effective AI prompts and query strategies to retrieve and synthesize data accurately from complex data domains. - Guide non-technical users in crafting precise prompts to get the data they need, ensuring fidelity and accuracy. - Develop a library of standardized prompts and query templates for common data identity needs. Qualifications - Experience with Informatica PowerCenter - Experience gathering business requirements and translating complex identity resolutions and operational requirements into clear, actionable access paths for client or provider identity for complex analytics - Experience with MDM tools such Informatica MDM - Experience explaining technical findings and data limitations in simple, non-technical language to end-users and leadership. - Strong experience with SQL for data identification, data profiling and manipulation. - Experience collaborating with end-users and performance analysts or IT internal leaders to create and validate client and member identification strategies for analytics development. - Excellent communication, presentation, and interpersonal skills. Preferred Experience - Experience with Business Intelligence/Data Warehouse - Experience with Informatica IICS - Experience working in a health and human services or similarly regulated environment, with a strong understanding of agency data domains. - Experience with data governance and data quality principles - Experience acting as the primary point of contact for program staff with MDM needs for analytics projects - Experience championing MDM across the organization - Experience with AI prompt development Company Description ASSYST is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin or any other characteristic protected under federal, state, or applicable local law.
Proving What's Possible in Healthcare®
Role Description The purpose of the role is to continuously improve HMA’s Analytics function through data quality initiatives and automation. This role will work to identify, test, and implement automated reports and processes that are significant to business processes and internal stakeholders. Acting as the Subject Matter Expert for internal stakeholders, this position will also assist its customers with reporting-related questions and troubleshooting and will conduct research as needed to determine the appropriate responses. This role requires experience utilizing claims processing software such as Facets, Qiclink, Benefit Focus, Javalina, HealthEdge, etc. What YOU will do: - Gather and document reporting and analysis requirements from business stakeholders. - Design and develop analytics solutions tailored to business needs, leveraging appropriate technologies aligned with the best internal practices and system architecture. - Perform testing, validation, and quality assurance on both self-developed and team-developed analytics solutions. - Train non-analytics users on how to effectively use analytics tools and report. - Troubleshoot and resolve issues related to report failures and data inconsistencies. - Translate solutions across technologies (e.g., SQL to Power Query) and source data from alternative platforms (e.g., Qiclink, Benefit Focus). - Identify and implement enhancements to existing deliverables, including automation opportunities and process improvements. - Serve as a backup or understudy for overflow tasks and back-fill coverage across designated departments. - Collaborate with IT teams and business stakeholders to identify and address issues, risks, and concerns related to data integrity. - Communicate findings, observations, and recommendations to business stakeholders using clear, business-friendly language. - Demonstrate deep expertise in analytics technologies (e.g., Python, Power Query, DAX, SQL, R, Fabric, CaseTrakker Reporting) with the ability to teach and mentor other analysts in their effective use. - Conduct quarterly analytics business reviews with department leaders, presenting insights and performance metrics for your assigned specialty area. Qualifications - Bachelor’s degree or equivalent experience required. - 3-5+ years’ previous experience with reporting and data analysis using SQL and PowerBI. - Certification in PowerBI preferred. - Proven success creating and maintaining data visualization tools including PowerBI. - Expert level skills within Microsoft Excel and the ability to manipulate data with ease. - Must be a critical thinker and very analytical in order to synthesize data and troubleshoot issues. - Great communication skills in order to interact with stakeholders and efficiently gather requirements. - Resilient, adaptable, and have the ability to grasp new ideas and concepts quickly. - Mastery of time management and ability to work on multiple projects simultaneously, stay organized and maintain a keen attention to detail. - Experience in the health care analytics industry, including payer/TPA models strongly preferred. Application Note When applying, please include the phrase “What stood out to me about this role is…” somewhere in your application. Compensation The base salary range for this position in the greater Seattle area is $111,000-$136,000 and varies dependent on geography, skills, experience, education, and other job or market-related factors. Performance-based incentive bonus(es) is available. Benefits - Seventeen (IC) days paid time off (individual contributors). - Eleven paid holidays. - Two paid personal and one paid volunteer day. - Company-subsidized medical, dental, vision, and prescription insurance. - Company-paid disability, life, and AD&D insurances. - Voluntary insurances. - HSA and FSA pre-tax programs. - 401(k)-retirement plan with company match. - Annual $500 wellness incentive and a $600 wellness reimbursement. - Remote work and continuing education reimbursements. - Discount program. - Parental leave. - Up to $1,000 annual charitable giving match. How we Support your Work, Life, and Wellness Goals At HMA, we believe in recognizing and celebrating the achievements of our dedicated staff. We offer flexibility to work schedules that support people in all time zones across the US, ensuring a healthy work-life balance. Employees have the option to work remotely or enjoy the amenities of our renovated office located just outside Seattle with free parking, gym, and a multitude of refreshments. Our performance management program is designed to elevate career growth opportunities, fostering a collaborative work culture where every team member can thrive. We also prioritize having fun together by hosting in-person events throughout the year including an annual all hands, summer picnic, trivia night, and a holiday party. Disclaimer HMA requires a background screen prior to employment. Protected Health Information (PHI) Access: Healthcare Management Administrators (HMA); employees may encounter protected health information (PHI) in the regular course of their work. All PHI shall be used and disclosed on a need-to-know basis and according to HMA’s standard policies and procedures. HMA is an Equal Opportunity Employer.
Role Description The Senior Data Analyst will have a critical role in empowering customers and internal stakeholders to make data-driven decisions by generating data solutions (dashboards, reports, etc.) that lead to actionable insights. The role involves working collaboratively across many teams, including customer success, product, and engineering. This position would be an excellent fit for someone passionate about using data to empower decision-making. We are looking for someone comfortable telling stories with data, has strong technical skills, a high degree of attention to detail, and a willingness to roll up their sleeves to get things done to support stakeholders and customers. Responsibilities: - Partner with internal and external stakeholders to identify business challenges and develop analytical solutions to drive decision making - Lead and interpret data and communicate findings through effective storytelling - Contribute to the development of reusable data assets - Define, document and maintain key business metrics and reporting standards - Troubleshoot issues with existing and new data products and integrations - Mentor peers on both technical and non-technical aspects of analytical work - Create and maintain documentation for dashboards, data models, reporting assets and analytical processes - Communicate complex analytical findings into clear recommendations for technical and non-technical audiences - Support continuous improvement initiatives across the organization - Other duties as assigned Qualifications - Bachelor’s degree in a quantitative field (statistics, computer science, etc.) - 4+ years of experience in data analytics, business intelligence or related field - 2+ years experience presenting findings and analytical recommendations to stakeholders - Fluent in SQL and strong working knowledge of relational databases - Experience with at least one data visualization tool (Sigma, Tableau, Looker, etc.) - Strong working knowledge of at least one programming language (Python, R, etc.) - Comfortable presenting analyses to both internal and external stakeholders - Able to understand, communicate, and work effectively and respectfully across demographic, socioeconomic, language, and all other cultural identifiers of communities - Experience in healthcare, population health, social services, or community-based care environments preferred. Requirements - Experience with DBT and other data-related technologies (Airflow, Airbyte, etc.) - Interest in developing, evaluating, and deploying predictive models - Experience working with healthcare, population health, social determinants of health (SDOH), care management, claims or clinical datasets. Diversity & Inclusion At Activate Care, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy (including childbirth, lactation, and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, military, and veteran status, and any other characteristic protected by applicable law. Activate Care believes that diversity and inclusion among our teammates is critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. The organization is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process. If you require an accommodation to participate in the interview process, please let our team know at the time of scheduling. The Company will not sponsor applicants for work visas at this time.
Role Description The Oncology Analyst will support, maintain, and upgrade legacy Oncology applications within a healthcare environment. The role requires a good understanding of clinical Oncology workflows. - Experience in Oncology specific applications: - Insightive - BrainLab - Doc3EHR - Mobius 3D - MUCheck - PipsPro - RadCalc - Elekta Oncentra Brachy - Elekta Teleport - MIM Maestro - Progeny Clinical - ClearCheck - Experience with Procedure Code Libraries and treatment planning systems. - Familiarity with Aria and Mosaiq and their interfaces with the above-listed applications. - Good understanding of servers, including physical, virtual, and Citrix. - Collaborate with clinicians, physicists, and vendors to ensure system continuity during upgrades. - Strong working knowledge of technical server functionality, troubleshooting, and diagnosing issues with HL7 interfaces. - Plan, coordinate, and execute upgrades for servers, virtual machines, and workstations. - Collaborate with customers, vendors, and clinical stakeholders to coordinate upgrade schedules and testing. - Perform integration testing with EMR & HL7 interfaces. - Conduct system validation and regression testing to ensure upgrades meet functional and performance standards. - Provide Level 2/3 support during go-live and hyper care. - Monitor and troubleshoot post-upgrade issues to ensure operational continuity. Qualifications - Experience in Healthcare IT. - Understanding of clinical Oncology workflows. Requirements - 6-12 Months duration. - Rate: $50/hr on C2C. Benefits - Competitive salary. - Opportunity for advancement. - Training & development.
At aioneers, you’ll be part of a professionally managed, innovation-driven, asset-based consulting firm headquartered in Germany. You’ll work with a unique and passionate team that is reshaping the future of supply chains - and driving your own career forward. We specialize in digitalizing strategic, tactical, and operational decision-making in supply chain management. With our cutting-edge analytics and business solutions, we help companies optimize their supply chain processes end-to-end.
Role Description To strengthen our growing consulting team in Bangalore, we are looking for a Senior Consultant– Data Analytics who is excited to tackle real-world supply chain challenges. If the following responsibilities sound like you, we’d love to get to know you: - Bridge the gap between supply chain business requirements and analytics solutions. - Support in designing technical concepts and developing tailored solutions using our assets. - Create data requests to gather relevant supply chain data and support in setting up data integration processes. - Implement solutions at our clients’ sites in areas such as supply chain transparency, inventory management, supply planning, and demand forecasting. - Preparation and transformation of supply chain data, including data integration, cleansing, applying business logic, and adapting our existing scripts/model templates. - Build large scale supply chain control tower systems to enable transparency and provide decision support using data analytics. - Validate implemented solutions in collaboration with project teams and client stakeholders. - Collaborate with our data engineering team to build efficient data pipelines. - Contribute to the continuous improvement of our technical assets, including scripts, logics, and models. Qualifications - 5 to 8 Years of experience in data analytics domain with focus on supply chain management. Experience in client facing roles would be preferred. - Bachelors / master's degree in technology, Industrial Engineering, Business Informatics, Applied Mathematics, Economics, or a related field with focus on Supply Chain, Data Analytics, or AI/ML. - Strong analytical and structured thinking with a high willingness to learn. - Hands on working experience with supply chain data sources like ERP systems, MRP tools, Inventory management software, sales, warehousing, and TMS systems. - Understanding of supply chain master/transactional data and related dependencies. - Hands-on experience in data preparation (ETL), modeling, and analysis using tools like Databricks, Python, Spark, SQL. - Familiarity with data visualization and automation tools like Power BI, Qlik Sense, Power Automate, Power Apps, or similar. - Interest or experience in AI, Machine Learning, mathematical modeling, or operations research is a plus. - A solid understanding of supply chain processes. - Experience in working on large scale projects with multi-disciplinary teams across the globe. - A hands-on mentality, team spirit, and a customer-centric mindset. - Strong communication skills in English. Benefits - Permanent contracts: Shape your future with a company that invests in long-term growth. - Flexible work setup: Enjoy work-life balance with remote options and flexible hours. - Mentorship & buddy program: We support you from day one, ensuring you’re guided through your daily tasks and long-term development by inspiring colleagues and role models. - Equal opportunities, diversity, and transparent career paths: Your potential counts. - Medical insurance for you and your family: We care about you and your family’s health. - Unmatched peer quality: A chance to work with some of the best minds in the industry, continuously learn from them and contribute towards larger structure. - An amazing team culture: With flat hierarchy where your opinions are not just valued but acted upon. A culture that constantly encourages you to take ownership and act like an entrepreneur. Company Description At aioneers, you’ll be part of a professionally managed, innovation-driven, asset-based consulting firm headquartered in Germany. You’ll work with a unique and passionate team that is reshaping the future of supply chains - and driving your own career forward. We specialize in digitalizing strategic, tactical, and operational decision-making in supply chain management. With our cutting-edge analytics and business solutions, we help companies optimize their supply chain processes end-to-end.
We help marketing agencies hire top offshore talent in 15 days - Fully guaranteed
• Collect, analyze, and interpret data from media platforms, web analytics tools, CRM systems, accounting platforms, and other business data sources. • Build, maintain, and optimize reporting dashboards and data visualization solutions using platforms such as Tableau and Google Data Studio. • Transform, blend, and visualize data using statistical methods and analytical tools to identify trends, outliers, and business opportunities. • Write queries and code to connect, extract, and manage data across multiple platforms, databases, and data warehouses. • Collaborate with cross-functional teams to translate business questions into actionable reports, dashboards, and recommendations. • Monitor and improve data quality, collection processes, and reporting accuracy while supporting ad-hoc analytics projects and business requests. • Communicate analytical findings and educate stakeholders on data relevance, performance metrics, and statistical significance.
Launch Potato’s brands and technologies help customers discover new products and services that make their lives better!
Role Description Launch Potato is looking for a Lead BI Developer to own the reporting infrastructure that powers decision-making across our Credit Cards, Make Money/Manage Money, Banking, and Marketplace verticals with a clear growth path into becoming a proactive analytical partner who helps the team see around corners. You'll be embedded with the business from day one, partnering closely with our Yield, Paid Media, and Account Management teams to: - Uncover meaningful trends - Conduct retrospective analyses across experiments, creatives, offers, seasonality, and CAC performance - Challenge the team with insights they aren't currently seeing This is NOT a role for someone who wants to build dashboards and hand them off; it's for someone who cares deeply about whether the work they build gets used, understood, and acted on. Qualifications - Expert SQL & Comfortable with Unstructured Complex Data - Reporting Ownership & Data Literacy - Performance Marketing Optimization - Advanced LookML Development (or equivalent in Power BI / Tableau) - Curiosity & Business Depth Requirements - Minimum 7 years in business intelligence or analytics with direct exposure to performance or affiliate marketing - Experience owning reporting end-to-end, from pipeline to dashboard - Worked with messy, complex, third-party data - Partnered closely with business teams to uncover meaningful trends and conduct retrospective analyses Outcomes (Performance Expectations) - 30 Days in: Actively engaged with stakeholders to audit reporting consumption, identifying discrepancies, redundancies, and inconsistencies. - 60 Days in: Articulated how assigned verticals make money and improved dashboard standardization while executing on ad hoc requests. - 90 Days in: Executed dashboard standardization and established working relationships with Yield, Paid Media, and Account Management. - 6 Months in: Built trust with the business team through education and delivered proactive retrospective analyses. - Year 1: Became a trusted technical owner for assigned verticals, completing reporting standardization and consistently delivering retrospective analysis. Competencies - Analytical Rigor - Reporting Ownership - Business Acumen - Communication - Proactive Ownership - Collaboration - Curiosity & Growth Benefits - Base salary set according to market rates for the nearest major metro - Compensation package includes a base salary, profit-sharing bonus, and competitive benefits - Future increases based on company and personal performance
Leidos is an innovation company rapidly addressing the world’s most vexing challenges in national security and health.
• Lead interoperability and data integration activities across CDC public health systems, platforms, and partner organizations • Design, develop, implement, and maintain data exchange workflows, APIs, integration services, and data pipelines • Support secure and efficient movement of data between surveillance, research, laboratory, operational, and reporting systems • Support CDC data modernization initiatives and enterprise integration efforts • Lead migration of legacy SAS-based analytics, reporting, and data management workflows to modern cloud-based platforms • Develop reusable code, technical documentation, and integration patterns • Participate in code reviews, testing activities, and deployment processes • Mentor junior developers and technical staff
Role Description We are seeking a detail-oriented Data Analyst to support our healthcare payer operations by analyzing claims, membership, provider, and financial data. This role will play a key part in driving data-driven decision-making across areas such as cost management, quality improvement, network performance, and regulatory compliance. - Analyze healthcare payer data including claims, eligibility, provider, utilization, and financial datasets - Develop and maintain reports, dashboards, and analytics to support business stakeholders (e.g., medical management, finance, network, and operations) - Identify trends, anomalies, and cost drivers in healthcare utilization and expenses - Support value-based care initiatives, including quality metrics (e.g., HEDIS, STAR ratings) and risk adjustment analysis - Perform ad hoc data analysis to answer business questions and guide strategic decisions - Collaborate with business units to define requirements and translate them into data solutions - Ensure data accuracy, integrity, and consistency across systems - Assist with regulatory and compliance reporting (CMS, state, and internal requirements) - Partner with IT and data engineering teams on data extraction, transformation, and validation - Document methodologies, business definitions, and reporting processes Qualifications - Bachelor’s degree in Data Analytics, Statistics, Health Informatics, Finance, or related field - 2–5+ years of experience in data analysis (healthcare payer environment strongly preferred) - Strong proficiency in SQL and experience working with large datasets - Experience with data visualization tools such as Tableau, Power BI, or similar - Solid understanding of healthcare payer data (claims, eligibility, provider data) - Strong analytical and problem-solving skills with attention to detail - Ability to communicate findings to both technical and non-technical stakeholders Requirements - Experience with Medicare, Medicaid, or Commercial payer data - Knowledge of risk adjustment (HCC), HEDIS, STAR ratings, or value-based care models - Familiarity with Python, R, or advanced analytics techniques - Experience with data warehousing concepts and ETL processes - Knowledge of HIPAA and healthcare data compliance requirements Salary Range 120,000-150,000 Benefits - Choice of multiple health and dental plans with nationally recognized networks - Vision benefits, a total wellness program, and an employee assistance program for you and your family - Competitive wages, retirement savings plans, company-paid disability and life insurance, pre-tax savings opportunities (HSA and/or FSA) - Professional development offerings and opportunities for remote work - A generous paid-time-off program for vacations, illness, and life’s important events
Victaulic is the leading producer of mechanical pipe joining solutions.
Role Description We are seeking a Data & Analytics Developer who combines genuine technical aptitude with deep knowledge of our business operations. This role is well suited for a high-performing individual who has developed a thorough understanding of how the business runs — its processes, data flows, and reporting needs — and is ready to apply that knowledge in a formal BI capacity. Strong business fluency and a willingness to grow technical skills are what matter most. We anticipate hiring up to two individuals for this role — one focused on the Sales domain and one on Supply Chain. Candidates are encouraged to apply regardless of which area aligns most closely with their background, and hiring decisions will reflect where each individual's business knowledge is strongest. In this role you will build and maintain analytics solutions and data products on Qlik Cloud, working in close collaboration with both the Data Engineering team and the Customer Coordination team within BI. - Design and develop Qlik Cloud applications, including data models, dashboards, and self-service analytics experiences for business stakeholders. - Build and maintain Qlik data load scripts, associative data models, and calculated measures using set analysis and advanced expressions. - Translate complex business requirements into clear, performant, and visually intuitive BI solutions. - Extract, understand, and utilize data from Infor M3 Cloud ERP across relevant functional domains, including Sales, Supply Chain, pricing, invoicing, inventory, and customer master data. - Leverage your business expertise to validate data accuracy, interpret ERP transaction flows, and ensure reporting outputs reflect real-world business processes. - Source analytics-ready data primarily from a curated platinum layer in Snowflake. - Collaborate with data engineering to communicate data needs clearly, identify gaps in the platinum layer, and contribute a business perspective to decisions about what data belongs there and how it should be structured. - Identify and resolve discrepancies between ERP source data and reporting outputs. - Support the active migration of business units from Infor BPCS (on-premises) to Infor M3 Cloud. - Assist in mapping BPCS data structures, file layouts, and transaction codes to their M3 equivalents. - Help maintain reporting continuity for affected business areas throughout the transition. - Participate in data validation efforts between BPCS source data and M3-migrated data. - Contribute to documentation of data lineage, field mappings, and transformation logic. - Partner closely with the BI Customer Coordination team. - Collaborate with Customer Coordination to ensure that stakeholder needs are translated accurately into BI solutions. - Collaborate with Data Engineering on data availability, platinum layer definition, and pipeline dependencies. - Design and contribute to data products — reusable, governed analytics assets. - Support user adoption through documentation, training, and hands-on enablement of end users in Qlik Cloud. - Follow BI team standards for development, version control, naming conventions, and documentation. - Participate in peer review and quality assurance of BI solutions prior to deployment. - Contribute to the continuous improvement of development practices, reusable components, and shared data models. Qualifications - Strong documentation habits — able to capture field mappings, transformation logic, and business context in a way that supports long-term maintainability. - 3+ years of hands-on experience in a business operations role with demonstrated fluency in how the business operates, how transactions flow, and how performance is measured. - Meaningful exposure to Infor M3 Cloud and/or Infor BPCS ERP environments. - Demonstrated proficiency or strong foundational knowledge in Qlik Cloud, Qlik Sense, or QlikView development. - Solid understanding of data analysis concepts including dimensional modeling, aggregation, and KPI design. - Strong communication skills with the ability to engage both technical and non-technical audiences. - High degree of intellectual curiosity, self-motivation, and willingness to learn new technical skills in a hands-on environment. Requirements - Experience working across both Infor BPCS (on-premises) and Infor M3 Cloud environments. - Experience with Qlik Cloud features such as Automations, Qlik Application Automation, or Qlik Catalog. - Knowledge of SQL and experience querying cloud data platforms (e.g., Snowflake). - Exposure to BI development methodologies, agile practices, or data governance frameworks. - Comfort using AI assistants such as Claude as a development accelerator. - Familiarity with scheduled report distribution concepts; experience with NPrinting or similar tools is a plus. Benefits - This position is intentionally designed for a candidate who may not arrive with a traditional BI developer background. - You will work alongside experienced BI developers and data engineers, participate in structured mentorship, and have access to Qlik training resources. - Your business knowledge will be directly applied to one of the most impactful data projects underway. Company Description Victaulic is an Equal Employment Opportunity (EOE/M/F/Vets/Disabled) employer and welcomes all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, gender, color, religion, national origin, age, disability, veteran status, sexual orientation, genetic data, or other legally protected status.
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SQL, Python, Data Engineering, Tableau, R, Data Analytics
