Senior Data Analyst

at  OpusVi

Qualifications

• Education:Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Master’s degree preferred.
• Experience:Proven experience working with very large data sets and employing both descriptive and predictive analytics techniques

Technical Skills

• Proficiency in data analysis tools and programming languages such as SQL, Python, R, or similar.
• Expertise in data visualization tools like Tableau, Power BI, or equivalent.
• Strong understanding of statistical methods and machine learning algorithms.
• Strong understanding of data science AI applications and use.
• Experience with ETL tools such as Informatica, Talend, Mulesoft, SSIS or equivalent

Soft Skills

• Self-motivated with a strong ability to work independently in a remote setting.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills with the ability to convey complex data insights to non-technical stakeholders.
• Ability to manage multiple projects and prioritize tasks effectively

Please note that this role is not similar to a Business Analyst role. We are specifically seeking a Senior Data Analyst with extensive experience in managing and analyzing healthcare data. Applicants should have a proven track record of working with complex healthcare datasets and delivering actionable insights.
At OpusVi, we are dedicated to leveraging data to drive strategic decision-making and uncover insights that propel our business forward. We are seeking a talented and experienced Senior Data Analyst to join our dynamic team. This is a remote position that offers flexibility and the opportunity to work with very large data sets in a cutting-edge analytics environment.

Key responsibilities

• Analyze and interpret complex and large-scale data sets to provide actionable insights and recommendations.
• Leverage machine learning and AI to enhance processes, including algorithm development and data processing and management.
• Develop and implement descriptive and predictive analytics models to support business objectives and strategic initiatives.
• Create and maintain dashboards and reports to visualize key metrics and trends.
• Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
• Perform data cleansing and transformation to ensure accuracy and consistency.
• Utilize advanced statistical techniques and machine learning algorithms to build predictive models.
• Monitor and evaluate the performance of analytics models and recommend improvements.
• Inform technology architecture and strategy to enhance data capabilities and improve end-user products.
• Effectively communicate data insights and findings through clear written reports and compelling oral presentations to diverse stakeholders.
• Stay current with industry trends and emerging technologies to continuously enhance analytical capabilities.

Qualifications

• Education:Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Master’s degree preferred.
• Experience:Proven experience working with very large data sets and employing both descriptive and predictive analytics techniques.

Technical Skills

• Proficiency in data analysis tools and programming languages such as SQL, Python, R, or similar.
• Expertise in data visualization tools like Tableau, Power BI, or equivalent.
• Strong understanding of statistical methods and machine learning algorithms.
• Strong understanding of data science AI applications and use.
• Experience with ETL tools such as Informatica, Talend, Mulesoft, SSIS or equivalent.

Soft Skills

• Self-motivated with a strong ability to work independently in a remote setting.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills with the ability to convey complex data insights to non-technical stakeholders.
• Ability to manage multiple projects and prioritize tasks effectively.

Benefits

• Competitive salary and performance-based incentives.
• Flexible work hours and remote work environment.
• Health, dental, and vision insurance.
• Professional development opportunities and access to industry conferences.
• Generous paid time off and holiday leave.

How to Apply: If you are passionate about data and excited about the opportunity to work in a flexible, remote environment, please submit your resume, cover letter, and any relevant work samples or portfolio links to the application portal.
OpusVi is committed to diversity and inclusion and encourages applications from individuals of all backgrounds and experiences. We look forward to welcoming a new member to our team who is eager to make a significant impact through data-driven insights.
Compensation: CAD 90K, plus competitive benefits.
Working Conditions
The above statements outline the nature and level of work performed by individuals assigned to this position and are not intended to be an exhaustive list of all responsibilities and skills required. All employees may be required to occasionally perform duties outside of their normal responsibilities as needed.
OpusVi is committed to providing accessible employment practices that are in compliance with the Accessibility for Ontarians with Disabilities Act (AODA). If you require accommodation during any stage of the recruitment process, please let us know.