1. Job Title: Jr Data Analyst
2. Introduction/Overview: The Jr Data Analyst will be part of the Information Technology (IT) department, supporting data-driven decision-making across various domains, playing a crucial role in analyzing, interpreting, and visualizing data to uncover insights that help improve business outcomes, enabling departments to make informed decisions, optimize processes, and identify growth opportunities, working closely with cross-functional teams to ensure data integrity, build dashboards, and contribute to scalable data solutions aligned with organizational goals.
3. Roles & Responsibilities: Collaborate with business and technical teams to gather and understand data requirements for reporting and analysis, design, develop, and maintain interactive dashboards and reports using Power BI or Tableau, perform data cleaning, transformation, and validation to ensure accuracy and consistency across datasets, write and optimize SQL queries to extract, manipulate, and analyze data from relational databases, support the development and integration of REST APIs for data exchange between systems and applications, utilize Python for data manipulation, automation scripts, and integration with visualization tools, conduct exploratory data analysis to identify trends, patterns, and anomalies in large datasets, work with JSON/XML data formats for data ingestion and transformation pipelines, participate in unit testing and debugging of data workflows and scripts using PyTest or unittest frameworks, manage code versions and collaborate with team members using Git/GitHub repositories, demonstrate strong attention to detail, analytical thinking, and a problem-solving mindset, communicate findings clearly through data storytelling and visual presentations to both technical and non-technical stakeholders, maintain documentation for data models, queries, and dashboards to ensure knowledge sharing and continuity, display a proactive attitude, willingness to learn, and adaptability to changing project needs, work independently and in teams, managing time effectively to meet deadlines and deliverables.
4. Years of Experience: 1 to 5 years of relevant experience in data analysis, software development, or related fields.
5. Education Qualification: Minimum qualification of Bachelor of Engineering (BE) in Computer Science, Information Technology, or related discipline.
6. Skills/Knowledge: Proficient in Python with Object-Oriented Programming (OOP), Python Standard Libraries (os, sys, datetime), exception handling, debugging, REST API integration (requests, Flask, FastAPI), data manipulation with Pandas, unit testing (PyTest, unittest), version control with Git/GitHub, working with JSON/XML data formats, asynchronous programming (asyncio, aiohttp), virtual environments and dependency management (venv, pip, pipenv), complex SQL queries (JOINs, subqueries, CTEs), data aggregation (GROUP BY, HAVING), indexing, query optimization, stored procedures, functions, data modeling, normalization, views, materialized views, transaction management, ACID properties, hands-on with RDBMS (PostgreSQL, MySQL, SQL Server, Oracle), dashboard development with Power BI or Tableau, static and interactive plots (Matplotlib, Seaborn, Plotly), data storytelling, chart selection, design best practices, web app integration (Dash, Streamlit), real-time data visualization, custom visuals, scripting in Power BI/Tableau, basic understanding of cloud platforms (AWS, Azure), Agile methodologies, Jupyter Notebooks, basic machine learning (scikit-learn), data privacy and compliance (GDPR).
7. Key Competencies: Strong analytical thinking, attention to detail, problem-solving mindset, effective communication (data storytelling, visual presentations), proactive attitude, willingness to learn, adaptability, ability to work independently and in teams, time management, mentoring, process improvement, documentation, stakeholder management, technical proficiency, collaboration.
8. Domain/Industry: Information Technology, Data Analytics, Software Development.
9. Employment Type: No Details Found
10. Company Overview: No Details Found
11. Benefits & Opportunities: Structured growth path in data analytics and software development, opportunity to progress to Data Analyst II, Data Engineer, or Analytics Lead, skill enhancement, mentoring opportunities, involvement in strategic data initiatives, equal opportunity employer, inclusive environment.
12. Location & Travel: No Details Found