Data Analyst (Hybrid Mexico City or Buenos Aires)

Description

• Please submit all CVs in English
  
  

Hybrid role - Must be near Mexico City, Mexico or Buenos Aries, Argentina and open to HYBRID schedule (3x a week in office, 2x at home)

Syneos Health® is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities.

Every day we perform better because of how we work together, as one team, each the best at what we do. We bring a wide range of talented experts together across a wide range of business-critical services that support our business. Every role within Corporate is vital to furthering our vision of Shortening the Distance from Lab to Life®.

Discover what our 29,000 employees, across 110 countries already know:

WORK HERE MATTERS EVERYWHERE

Why Syneos Health

• We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program.
• We are committed to our Total Self culture – where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people.
• We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives – we’re able to create a place where everyone feels like they belong.
• Gather, clean, and analyze large datasets to provide actionable insights.
• Design and develop reports, dashboards, and visualizations using tools such as Tableau, Power BI, or equivalent.
• Identify trends, patterns, and anomalies within data to support business decisions.
• Collaborate with business stakeholders to understand data requirements and translate them into technical specifications.
• Perform ad-hoc data analysis and provide timely reporting to key stakeholders.
• Apply statistical methods to solve business problems and provide predictive analytics where necessary.
• Analyze and document system requirements, workflows, and processes for technical improvements.
• Serve as a liaison between IT, data engineering, and business teams to ensure accurate data integration and flow across platforms.
• Assist with the design, development, and implementation of data ingestion, transformation, and ETL processes.
• Collaborate with data engineers to ensure data integrity and optimize the performance of data pipelines.
• Conduct system testing and quality assurance of data solutions to ensure they meet business needs and technical specifications.
• Monitor and troubleshoot data pipelines and technical issues as they arise, ensuring prompt resolution.
  
  

Qualifications

• Education: Bachelor’s degree in Data Science, Computer Science, Information Technology, or a related field.
• Experience:
• 3+ years of experience in data analysis or a related field.
• Experience working as a technical analyst or in a technical role is highly desirable.
• Technical Skills:
• Proficient in SQL and querying relational databases.
• Experience with ETL processes, data modeling, and database management.
• Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Qlik).
• Familiarity with Python or R for data manipulation and analysis.
• Understanding of cloud platforms such as AWS, Azure, or Google Cloud.
• Knowledge of AIOps tools for automation, monitoring, and optimization of data pipelines is a plus.
• Analytical Skills: Strong problem-solving abilities and an aptitude for detailed analysis.
• Communication: Excellent verbal and written communication skills, with the ability to present complex technical data to non-technical stakeholders.
• Collaboration: Strong ability to work cross-functionally with both technical and business teams.
  

Preferred Qualifications

• Experience with Agile or Scrum methodologies.
• Knowledge of big data tools and technologies (e.g., Hadoop, Spark).
• Certifications in data analytics, cloud platforms, or relevant technical domains.
  
  

Key Competencies

• Analytical mindset with attention to detail.
• Ability to manage multiple projects and meet deadlines.
• Strong troubleshooting and problem-solving skills.
• Proactive attitude and a willingness to learn new tools and technologies.
  
  

Get to know Syneos Health

Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients.

No matter what your role is, you’ll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health