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Hybrid Data Analyst I Data Analyst I with verification

Rho · United States Of America · Hybrid

About the job

Join us in redefining what it means to work for a CRO. Working at Rho, you’ll be joining a team who take healthcare and clinical research personally, with shared experiences that drive a passion to heal, cure and solve some of humanity’s biggest challenges.At Rho, we’re committed to you just as you’re committed to us. You’ll have the opportunity to experience a thriving company with real stability - financial, workforce, and corporate, which has created a safe environment to innovate and develop over a long and rewarding career. With a collaborative team of smart, talented, and positive people, you’ll be celebrated and respected for your expertise and given the freedom to think creatively, challenge the norm, and problem-solve.We are currently hiring a Data Analyst I to join our team!As Data Analyst I, you will contribute to data analytics projects that support the organization's strategic goals and objectives. This role will use programming and data visualization tools to generate reports for clinical trial study teams and internal stakeholders, fostering informed decision-making and strategic insights.Our Data Analytics Team will tell you, joining Rho has been one of their best career moves in terms of contentment, financial rewards and career growth, which is why we have such stability in the group!Responsibilities

  • Lead the SAS programming tasks associated with project-specific reporting, working across the project team to ensure final reports meet the needs of all internal and external stakeholders.
  • Serve as technical support for Rave EDC build, including custom function programming.
  • Develop, validate, and make updates as needed to a library of template SAS programs to support reporting needs.
  • Program data listings for clinical trial data review.
  • Assist Senior Data Analyst with understanding stakeholder needs, ensure proper collection of data sources, acquire data, and organize data into a format that is readily available.
  • Capture, develop, and document data definitions, business rules, and data quality requirements.
  • Ensure compliance with deliverable reporting requirements by performing quality data audits and analysis.
  • Communicate and present data findings and recommendations in a clear and compelling way, using standard template data dashboards, reports, and other outputs.
  • Identify opportunities for data and process improvement, innovation, and optimization.
  • Participate in projects and tasks related to data integration, data cleaning, descriptive analyses, exploratory analyses, predictive modeling, data mining, text analytics, social media analytics, social network analysis, rapid prototyping, and data visualization to solve problems
  • Implement new statistical or other mathematical methodologies as needed for specific models or analysis
Qualifications
  • Bachelor's degree in data analytics, statistics, mathematics, computer science, or related field along with up to 2 years of experience in data analytics, data science, or data engineering. Experience working in a contract research organization or a related industry is preferred
  • Demonstrated knowledge in data warehousing, ETL processes, and SQL programming and knowledge in cloud platforms, particularly Microsoft Azure.
  • Demonstrated knowledge in data analytics and statistical modeling techniques, such as regression, classification, clustering, optimization, simulation, machine learning, and artificial intelligence.
  • Proficiency in scripting, data blending, data visualization, and statistical programming languages, such as Python, R, SQL, SAS, Spotfire, Tableau, Power BI, and Alteryx.
  • Demonstrated knowledge in designing, developing, and maintaining data systems and databases, using data warehousing, data integration, data quality, and data governance principles and tools.
  • Strong data communication and presentation skills, with the ability to translate data into actionable insights and recommendations for diverse audiences.
  • Strong analytical and problem-solving skills.
  • Strong collaboration and interpersonal skills, with the ability to work effectively with cross-functional teams and stakeholders at all levels of the organization.
  • High attention to detail and quality, with the ability to ensure data accuracy, validity, and reliability.
  • Self-motivated and proactive, with the ability to work independently and under pressure in a fast-paced and dynamic environment.
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