Data Analyst (Visualization & SQL/Python Focus, Cloud

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.

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)

• 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.

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

• 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.

• 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.

• Bachelors degree in Computer Science, Data Science, Statistics, or related field.
• Masters 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.

• 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.