Job Title – Jr Data Analyst


Role Overview

The Jr Data Analyst will be part of the Information Technology (IT) department, supporting data-driven decision-making across various domains. With 1 to 5 years of experience, the candidate will play a crucial role in analyzing, interpreting, and visualizing data to uncover insights that help improve business outcomes. This role is strategic in enabling departments to make informed decisions, optimize processes, and identify growth opportunities. The analyst will work closely with cross-functional teams, ensuring data integrity, building dashboards, and contributing to the development of scalable data solutions that align with organizational goals.



Job 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 tools like Power BI or Tableau to support business insights.
  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.



Skills &amp; Knowledge

a) Mandatory Skills

  Python: Proficient in Object-Oriented Programming (OOP) and using Python Standard Libraries such as os, sys, and datetime to build efficient scripts and tools. Able to handle exceptions and debug code effectively. Experienced in integrating REST APIs using libraries like requests, Flask, or FastAPI. Skilled in data manipulation using Pandas for cleaning, transforming, and analyzing datasets. Familiar with writing unit tests using PyTest or unittest to ensure code reliability. Comfortable with Git/GitHub for version control and collaboration. Able to work with JSON/XML data formats for data exchange. Exposure to asynchronous programming using asyncio or aiohttp. Understands virtual environments and dependency management using venv, pip, or pipenv.
  SQL: Capable of writing complex SQL queries involving JOINs, subqueries, and Common Table Expressions (CTEs). Experienced in data aggregation using GROUP BY and HAVING clauses. Knowledge of indexing and query optimization techniques to improve performance. Able to write and maintain stored procedures and functions. Understands data modeling concepts and normalization techniques. Familiar with creating and using views and materialized views. Knowledge of transaction management and ACID properties. Hands-on experience with RDBMS platforms such as PostgreSQL, MySQL, SQL Server, or Oracle.
  Data Visualization: Skilled in developing dashboards using Power BI or Tableau to present actionable insights. Able to create static and interactive plots using Matplotlib, Seaborn, or Plotly. Understands principles of data storytelling and how to present data in a compelling way. Knowledge of selecting appropriate charts and applying design best practices. Experience in integrating visualizations with web applications using Dash or Streamlit. Exposure to real-time data visualization techniques. Familiar with creating custom visuals and scripting in Power BI or Tableau.



b) Good to Have Skills

  Basic understanding of cloud platforms like AWS or Azure for data storage and analytics.
  Familiarity with Agile methodologies and working in sprint-based development cycles.
  Experience with Jupyter Notebooks for prototyping and sharing data analysis.
  Exposure to basic machine learning concepts and libraries like scikit-learn.
  Understanding of data privacy and compliance standards such as GDPR.



Career Roadmap

This role offers a structured growth path for professionals looking to build a strong foundation in data analytics and software development. Over the next three years, the candidate will evolve from executing data tasks to leading initiatives and mentoring others. With consistent performance and skill enhancement, the candidate can progress to roles such as Data Analyst II, Data Engineer, or Analytics Lead.



a) 0 to 1 Year

In the first year, the focus is on learning the tools, understanding the data landscape, and delivering accurate and timely reports. The candidate is expected to demonstrate technical proficiency and a strong analytical mindset.

Key Responsibilities and KRAs

  Understand business requirements and translate them into data queries and reports.
  Deliver clean, validated datasets for analysis and visualization.
  Develop and maintain dashboards with minimal supervision.
  Participate in code reviews and follow best practices in version control.
  Document processes and maintain data dictionaries.

Success Indicator

  Timely delivery of accurate reports and dashboards.
  Positive feedback from stakeholders on data quality and insights.
  Demonstrated improvement in technical skills and problem-solving.



b) 1 to 2 Years

In the second year, the candidate is expected to take on more ownership of projects, optimize existing processes, and contribute to strategic data initiatives. They should begin mentoring junior team members and improving team efficiency.

Key Responsibilities and KRAs

  Lead the development of new dashboards and reporting tools.
  Identify and implement process improvements in data workflows.
  Collaborate with cross-functional teams to support data-driven decisions.
  Mentor interns or new team members on tools and best practices.
  Ensure data compliance and security in all deliverables.

Success Indicator

  Reduction in report generation time through automation.
  Improved stakeholder satisfaction with data solutions.
  Recognition as a go-to person for specific tools or datasets.



c) 2 Years and above

Beyond two years, the candidate should be ready to take on a senior analyst or lead role. They will be expected to drive data strategy, lead complex projects, and contribute to organizational data maturity.

Key Responsibilities and KRAs

  Lead end-to-end data projects from requirement gathering to delivery.
  Design scalable data models and architecture for analytics solutions.
  Represent the team in stakeholder meetings and strategic discussions.
  Contribute to hiring and onboarding of new team members.
  Drive innovation in data visualization and storytelling techniques.

Success Indicator

  Successful delivery of high-impact data projects.
  Promotion to a senior or lead role based on performance.
  Increased influence in shaping data strategy and governance.



Experience

  Years of experience: 1 to 5 years of relevant experience in data analysis, software development, or related fields.
  Education qualification: Minimum qualification of Bachelor of Engineering (BE) in Computer Science, Information Technology, or related discipline.




Equal Opportunity Employer Statement:
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to creating an inclusive environment for all employees.