Specialist, Analytics and Integrations

MaxCyteRockville, MD
352d$99,000 - $108,000

About The Position

Responsible for optimizing data analysis and integration across the organization, the Specialist will utilize data visualization tools like Tableau to create insightful dashboards and reports. Also work with enterprise business systems such as Salesforce (CRM) and NetSuite (ERP) to leverage data structures for analytics; familiarity with these systems or comparable systems is preferred. This role requires experience with integration platforms like Workato and with programming languages such as Python or R for custom data analysis, scripting, and task automation. The Specialist will also gather functional requirements from business users across various departments, document detailed specifications for analytics and integration projects, and apply knowledge of data modeling and SQL for complex data manipulation. This role also involves using advanced statistical methods and machine learning algorithms to analyze complex datasets and predict trends. Familiarity with cloud computing services (AWS, Azure, Google Cloud) and project management skills in agile methodologies, particularly using Jira, are essential for adapting to changing technologies and research priorities. Additionally, the Specialist will be responsible for resource allocation, workload management, project prioritization, and maintaining comprehensive project documentation. This includes coordinating testing phases to ensure solution accuracy and effectiveness. The role may also involve working with scientific datasets, understanding data governance and compliance standards, and utilizing LIMS and ELN for efficient data capture and management. Interpersonally, the Specialist must possess strong critical thinking and analytical skills, excellent communication abilities, and a proactive approach to collaborating with departments such as Sales, Marketing, Finance, R&D, and Engineering. Project management capabilities, adaptability to new technologies, attention to detail, teamwork, resilience, and a commitment to continuous learning and professional development are crucial. The Specialist may also bring innovative thinking to apply data analytics in novel ways, mentor and train team members, and exercise strong ethical judgment in handling sensitive scientific data. This position is vital in ensuring the effective integration and utilization of data analytics and AI initiatives within the organization.

Requirements

  • 1-5 years of experience.
  • Undergraduate degree required, major in Computer Science preferred.
  • Proficient in data visualization and analysis tools, specifically Tableau.
  • Proficiency in programming languages such as Python or R.
  • Experienced in using integration platforms like Workato.
  • Familiarity with enterprise business systems such as Salesforce (CRM) and NetSuite (ERP).
  • Strong skills in gathering functional requirements and documenting specifications.
  • Knowledge of data modeling and SQL.
  • Familiarity with cloud computing services (AWS, Azure, Google Cloud).
  • Project management skills, particularly in agile methodologies, ideally using Jira.

Nice To Haves

  • Knowledge of advanced statistical methods and machine learning algorithms.
  • Strong skills in project prioritization techniques.
  • Ability to develop and maintain comprehensive project documentation.
  • Skilled in risk management.
  • Ability to work with scientific and experimental datasets.

Responsibilities

  • Utilize data visualization tools like Tableau to create insightful dashboards and reports.
  • Work with enterprise business systems such as Salesforce (CRM) and NetSuite (ERP) to leverage data structures for analytics.
  • Gather functional requirements from business users across various departments.
  • Document detailed specifications for analytics and integration projects.
  • Apply knowledge of data modeling and SQL for complex data manipulation.
  • Use advanced statistical methods and machine learning algorithms to analyze complex datasets and predict trends.
  • Familiarity with cloud computing services (AWS, Azure, Google Cloud).
  • Coordinate testing phases to ensure solution accuracy and effectiveness.
  • Maintain comprehensive project documentation.
  • Manage resource allocation, workload management, and project prioritization.

Benefits

  • Base salary range of $99,000 - $108,000 (depending on experience).
  • Annual bonus.
  • Equity.
  • Comprehensive benefits package including health, dental, vision, life, and disability insurance.
  • Generous time off.

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What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Industry

Professional, Scientific, and Technical Services

Education Level

Bachelor's degree

Number of Employees

11-50 employees

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