Role Description We are sharing a specialised part-time consulting opportunity for professionals experienced in data science, analytics engineering, business intelligence, SQL analysis, experimentation, data engineering, and structured data workflow review. This role supports current and upcoming remote consulting opportunities focused on: - Structured data science review - Analytics workflow analysis - Business intelligence assessment - Experimentation review - Data pipeline evaluation - Metric documentation - High-quality project execution Selected professionals will apply their data and analytics expertise to: - Review realistic technical scenarios - Evaluate analytical requirements - Prepare structured written outputs - Support accurate, evidence-based data workflow tasks Qualifications - 3+ years of experience as a data scientist, analytics engineer, BI analyst, data analyst, product analyst, data engineer, decision scientist, or related data professional - Working fluency in at least two areas such as advanced SQL, dbt, data warehousing, Snowflake, BigQuery, Redshift, experimentation, A/B testing, pipeline orchestration, metric modeling, or Python for analysis - Familiarity with tools such as SQL, Python, dbt, Airflow, Dagster, Snowflake, BigQuery, Redshift, Databricks, Looker, Tableau, Mode, Hex, Metabase, Power BI, or similar data and analytics systems - Comfort reading and preparing data artifacts such as SQL queries, dbt models, experiment readouts, dashboard specs, schema diagrams, metric definitions, and pipeline documentation - Strong written communication skills and ability to explain data decisions clearly - Ability to follow structured instructions and produce evidence-based work Requirements - Review data scenarios involving SQL analysis, ad-hoc business questions, dashboard specifications, metric definitions, funnel analysis, cohort analysis, and reporting outputs - Evaluate analytical outputs against source data, defined business logic, expected numerical results, and documented requirements - Support structured review of SQL queries, BI dashboards, dashboard specs, metric documentation, and analytical summaries - Identify missing assumptions, query issues, metric inconsistencies, reporting gaps, and expected analysis outcomes - Review experimentation scenarios involving A/B test design, readouts, lift calculations, statistical significance, guardrail metrics, and decision criteria - Evaluate experiment outputs against defined metrics, expected values, testing assumptions, and analytical standards - Support structured review of data science workflows, Python-based analyses, statistical outputs, and business interpretation materials - Prepare clear written explanations for data science and analytics decisions based on source materials and verifiable criteria - Review data engineering scenarios involving ETL/ELT pipelines, dbt models, data quality monitoring, warehouse schema design, Airflow or Dagster DAGs, and pipeline documentation - Evaluate pipeline outputs, schemas, transformations, orchestration logic, and data quality checks against documented requirements - Support structured review of data artifacts such as dbt models, schema diagrams, data contracts, test suites, DAGs, and warehouse documentation - Maintain accuracy, consistency, and professional judgment across submitted work Benefits - Apply data science and analytics expertise to structured remote project work - Contribute to high-quality analytics review, experimentation assessment, BI documentation, and data pipeline workflow analysis - Work on flexible, project-based assignments aligned with your technical background - Use your data judgment in a focused, detail-oriented technical environment - Remote structure with competitive hourly compensation Contract Details - Independent contractor role - Fully remote with flexible scheduling - Part-time commitment depending on project availability - Competitive rates between $75–$130 per hour depending on expertise - Weekly payments via Stripe or Wise - Projects may be extended, shortened, or adjusted depending on scope and performance - Work will not involve access to confidential or proprietary information from any employer, client, or institution About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy .

Role Description Asheville Cottages is seeking a highly motivated and detail-oriented Data Analyst Intern to join our team. As a Data Analyst Intern, you will have the opportunity to work closely with our management team and gain valuable hands-on experience in the vacation rental industry. You will be responsible for: - Collecting, cleaning, and organizing data from various sources including our booking software, customer surveys, and website analytics. - Analyzing data to identify patterns, trends, and insights that will help guide our business strategy. - Creating reports and visualizations to present findings to the management team. - Collaborating with team members to develop and implement data-driven solutions to improve business processes and customer experiences. - Continuously monitoring and tracking data to identify areas for improvement and making recommendations to optimize business operations. - Assisting with ad-hoc data analysis projects and other tasks as needed. Qualifications - Currently pursuing a degree in Data Analytics, Mathematics, Statistics, or related field. - Strong analytical skills and attention to detail. - Working knowledge of data analysis and visualization tools such as Microsoft Excel, Google Analytics, or Tableau. - Ability to work independently and in a team environment. - Excellent communication and problem-solving skills. - Passion for using data to drive business decisions. Benefits - Paid internship with potential for full-time employment upon completion. - Opportunity to work closely with experienced professionals and gain valuable mentorship. - Hands-on experience in the vacation rental industry. - Fun and inclusive work environment. - Flexible schedule to accommodate school and other commitments.

Role Description We are seeking an experienced Reporting Analyst to support regulatory evaluation and data-driven reporting initiatives within a public sector environment. This role focuses on building advanced dashboards, managing complex datasets, and delivering actionable insights to support business decisions and modernization efforts. The ideal candidate will have strong expertise in Power BI, data analysis, and stakeholder collaboration, with the ability to translate complex data into meaningful and user-friendly reporting solutions. Key Responsibilities - Design and develop interactive dashboards, scorecards, and reporting tools using Power BI and related platforms. - Build automated monitoring and reporting solutions, including trackers and analytical dashboards. - Develop and maintain data models and visualizations using Power BI and Azure-based data platforms. - Integrate advanced analytics and AI capabilities (e.g., Python) to enhance data insights and automation. - Collect, consolidate, and analyze data from multiple sources to create meaningful datasets. - Perform data validation, testing (QA/QC), and quality assurance of reporting products. - Collaborate with cross-functional teams to gather requirements and align reporting solutions with business needs. - Present insights and recommendations to stakeholders, including senior leadership. - Provide training and support to end users for BI tools and dashboards. - Develop documentation including SOPs, user guides, and reporting standards. Qualifications - Minimum 5 years of experience in reporting, business intelligence, or data analytics. - Strong hands-on experience with Power BI (dashboarding, data modeling, visualization). - Experience building analytics platforms and reporting solutions for decision-making. - Strong experience working with complex and regulated datasets. - Proven ability to communicate insights to both technical and non-technical stakeholders. - Experience facilitating meetings and working with senior stakeholders. - Strong analytical thinking and problem-solving skills. Preferred Qualifications - Experience delivering analytics solutions in large organizations or public sector environments. - Experience developing business requirements documentation. - Experience building analytical models and performing quantitative analysis. - Strong business writing and documentation skills. - Familiarity with emerging technologies such as AI, machine learning, and data ethics. - Experience evaluating and applying advanced analytics and data strategies. Requirements - Work must be performed within Canada. - Candidate must provide their own computer and equipment (Windows preferred for compatibility). - Secure remote access will be provided. Contact Information For more details reach at resumes@navitassols.com.

• Utilizes various data analysis tools and software (like SAS, SQL, Excel, R, Python, Tableau, etc.) to manipulate and analyze data • Collaborates with other data analysts to create tabular and graphical presentations • Contributes to the design of re-measurement strategies to assess the efficacy of interventions