Data Analyst (Visualization & SQL/Python Focus, Cloud Knowledge Desirable)

Job Summary

Synechron is seeking a detail-oriented Data Analyst to leverage advanced data analysis, visualization, and insights to support our business objectives. The ideal candidate will have a strong background in creating interactive dashboards, performing complex data manipulations using SQL and Python, and automating workflows to drive efficiency. Familiarity with cloud platforms such as AWS is a plus, enabling optimization of data storage and processing solutions. This role will enable data-driven decision-making across teams, contributing to strategic growth and operational excellence.

Software Requirements

Required:

• PowerBI (or equivalent visualization tools like Streamlit, Dash)
• SQL (for data extraction, manipulation, and querying)
• Python (for scripting, automation, and advanced analysis)
• Data management tools compatible with cloud platforms (e.g., AWS S3, Redshift, or similar)
  
  

Preferred:

• Cloud platform familiarity, especially AWS services related to data storage and processing
• Knowledge of other visualization platforms (Tableau, Looker)
• Familiarity with source control systems (e.g., Git)
  
  

Overall Responsibilities

• Develop, redesign, and maintain interactive dashboards and visualization tools to provide actionable insights.
• Perform complex data analysis, transformations, and validation using SQL and Python.
• Automate data workflows, reporting, and visualizations to streamline processes.
• Collaborate with business teams to understand data needs and translate them into effective visual and analytical solutions.
• Support data extraction, cleaning, and validation from various sources, ensuring data accuracy.
• Maintain and enhance understanding of cloud environments, especially AWS, to optimize data storage, processing pipelines, and scalability.
• Document technical procedures and contribute to best practices for data management and reporting.
  
  

Performance Outcomes:

• Timely, accurate, and insightful dashboards and reports.
• Increased automation reducing manual effort.
• Clear communication of insights and data-driven recommendations to stakeholders.
  
  

Technical Skills (By Category)

Programming Languages:

• Essential: SQL, Python
• Preferred: R, additional scripting languages
  
  

Databases/Data Management:

• Essential: Relational databases (SQL Server, MySQL, Oracle)
• Preferred: NoSQL databases like MongoDB, cloud data warehouses (AWS Redshift, Snowflake)
  
  

Cloud Technologies:

• Essential: Basic understanding of AWS cloud services (S3, EC2, RDS)
• Preferred: Experience with cloud-native data solutions and deployment
  
  

Frameworks and Libraries:

• Python: Pandas, NumPy, Matplotlib, Seaborn, Plotly, Streamlit, Dash
• Visualization: PowerBI, Tableau (preferred)
  
  

Development Tools and Methodologies:

• Version control: Git
• Automation tools for workflows and reporting
• Familiarity with Agile methodologies
  
  

Security Protocols:

• Awareness of data security best practices and compliance standards in cloud environments
  
  

Experience Requirements

• 3-5 years of experience in data analysis, visualization, or related data roles.
• Proven ability to deliver insightful dashboards, reports, and analysis.
• Experience working across teams and communicating complex insights clearly.
• Knowledge of cloud environments like AWS or other cloud providers is desirable.
• Experience in a business environment, not necessarily as a full-time developer, but as an analytical influencer.
  
  

Day-to-Day Activities

• Collaborate with stakeholders to gather requirements and define data visualization strategies.
• Design and maintain dashboards using PowerBI, Streamlit, Dash, or similar tools.
• Extract, transform, and analyze data using SQL and Python scripts.
• Automate recurring workflows and report generation to improve operational efficiencies.
• Troubleshoot data issues and derive insights to support decision-making.
• Monitor and optimize cloud data storage and processing pipelines.
• Present findings to business units, translating technical outputs into actionable recommendations.
  
  

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, or related field.
• Master’s degree is a plus.
• Relevant certifications (e.g., PowerBI, AWS Data Analytics) are advantageous.
• Demonstrated experience with data visualization and scripting tools.
• Continuous learning mindset to stay updated on new data analysis trends and cloud innovations.
  
  

Professional Competencies

• Strong analytical and problem-solving skills.
• Effective communication, with the ability to explain complex insights clearly.
• Collaborative team player with stakeholder management skills.
• Adaptability to rapidly changing data or project environments.
• Innovative mindset to suggest and implement data-driven solutions.
• Organized, self-motivated, and capable of managing multiple priorities efficiently.
  
  

S YNECHRON’S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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