InfoSpeed Services, Inc.
Website:
infospeedinc.com
Job details:
Data Analyst
Location: Remote
Exp:3+ years
Key Responsibilities:
· Data Analysis: Analyse large datasets to identify trends, patterns, and opportunities for business improvement.
· Perform ad hoc analyses to support business initiatives and operational decisions.
· Document detailed data analysis based on requirements, ad-hoc requests, data observations and CR impact.
· Cross-functional Collaboration: Collaborate with cross-functional teams to understand data needs and deliver tailored solutions.
· Ensure data accuracy, integrity, and consistency across development and production environments.
· Data Engineering Concept: Have an understanding of data engineering concepts, including the principles of designing and maintaining data pipelines and ETL processes.
· Stakeholder Communication: Act as a liaison between business users and technical teams. Facilitate meetings and workshops to gather feedback and ensure alignment.
Qualifications:
· Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
· Experience: Minimum of 3+ years of experience as a Data Analyst, with a focus on data engineering.
· Technical Skills: Good Understanding of SQL, Python, data modeling, and ETL processes. Understanding of data analysis and visualization tools (e.g., Excel, Power BI, Tableau) and data warehousing solutions.
· Analytical Skills: Strong analytical and problem-solving skills. Ability to interpret complex data and provide actionable insights.
· Communication Skills: Excellent verbal and written communication skills. Ability to convey technical information to non-technical stakeholders.
Required Skills:
· Knowledge of programming languages such as SQL and Python.
· Understanding of data analysis, visualization and reporting tools (e.g., Excel, Power BI, Tableau).
· Experience with cloud platforms (e.g., Azure, GCP).
Good to Have Skills:
· Databricks: Experience with Databricks tool is a plus.
· Certifications: Certifications in Databricks or Azure (or any relevant certifications) are highly desirable.
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