associate data analyst
SkillOrbit
Bengaluru, Karnataka, India0–2 yrs48m agovia LinkedIn
About the Role
The Associate Data Analyst is a full-time, on-site role based in Bengaluru. This role involves collecting, cleaning, and organizing data from multiple sources to support reporting and decision-making across SkillOrbit’s E-Learning, HR, and IT service lines. The Associate Data Analyst will perform exploratory data analysis, build basic dashboards and reports, and assist in developing data models that provide insights into learner performance, talent metrics, and operational efficiency.
Key Responsibilities
- Collaborating with cross-functional teams to understand data requirements.
- Collecting, cleaning, and organizing data from multiple sources.
- Performing exploratory data analysis.
- Building basic dashboards and reports.
- Assisting in developing data models.
- Preparing clear summaries and visualizations for stakeholders.
- Ensuring data quality and consistency.
- Documenting analytical processes.
- Supporting ad-hoc data requests.
- Contributing to continuous improvement of data workflows.
Qualifications
- Strong Analytical Skills and foundational Data Analytics capabilities.
- Solid knowledge of Statistics and experience applying statistical concepts to real-world datasets.
- Understanding of Data Modeling, including basic database concepts and structuring data for reporting.
- Effective Communication skills for explaining insights to technical and non-technical stakeholders.
- Ability to work collaboratively in an on-site team environment in Bengaluru.
- Attention to detail.
- A learning mindset.
Requirements & Tech Stack
- Proficiency in Excel or Google Sheets.
- Familiarity with data visualization tools (e.g., Power BI, Tableau, or similar) is preferred.
- Exposure to SQL or another query language is beneficial.
- Basic experience with a programming language for analysis (such as Python or R) is beneficial.
- Bachelor’s degree in a quantitative, business, or technology-related field (e.g., Statistics, Mathematics, Economics, Computer Science, Engineering, or similar) is preferred.