Lead II - Business Analysis
at Global digital transformation solutions provider.
Python
Data Analytics
Machine Learning (ML)
Amazon Web Services (AWS)
Data ScienceJob Description – Senior Technical Business Analyst
Location: Trivandrum (Preferred) | Open to any location in India
Shift Timings - 8 hours window between the 7:30 PM IST - 4:30 AM IST
About the Role
We are seeking highly motivated and analytically strong Senior Technical Business Analysts who can work seamlessly with business and technology stakeholders to convert a one-line problem statement into a well-defined project or opportunity. This role is ideal for fresh graduates who have a strong foundation in data analytics, data engineering, data visualization, and data science, along with a strong drive to learn, collaborate, and grow in a dynamic, fast-paced environment.
As a Technical Business Analyst, you will be responsible for translating complex business challenges into actionable user stories, analytical models, and executable tasks in Jira. You will work across the entire data lifecycle—from understanding business context to delivering insights, solutions, and measurable outcomes.
Key Responsibilities
Business & Analytical Responsibilities
- Partner with business teams to understand one-line problem statements and translate them into detailed business requirements, opportunities, and project scope.
- Conduct exploratory data analysis (EDA) to uncover trends, patterns, and business insights.
- Create documentation including Business Requirement Documents (BRDs), user stories, process flows, and analytical models.
- Break down business needs into concise, actionable, and development-ready user stories in Jira.
Data & Technical Responsibilities
- Collaborate with data engineering teams to design, review, and validate data pipelines, data models, and ETL/ELT workflows.
- Build dashboards, reports, and data visualizations using leading BI tools to communicate insights effectively.
- Apply foundational data science concepts such as statistical analysis, predictive modeling, and machine learning fundamentals.
- Validate and ensure data quality, consistency, and accuracy across datasets and systems.
Collaboration & Execution
- Work closely with product, engineering, BI, and operations teams to support the end-to-end delivery of analytical solutions.
- Assist in development, testing, and rollout of data-driven solutions.
- Present findings, insights, and recommendations clearly and confidently to both technical and non-technical stakeholders.
Required Skillsets
Core Technical Skills
- 6+ years of Technical Business Analyst experience within an overall professional experience of 8+ years
- Data Analytics: SQL, descriptive analytics, business problem framing.
- Data Engineering (Foundational): Understanding of data warehousing, ETL/ELT processes, cloud data platforms (AWS/GCP/Azure preferred).
- Data Visualization: Experience with Power BI, Tableau, or equivalent tools.
- Data Science (Basic/Intermediate): Python/R, statistical methods, fundamentals of ML algorithms.
Soft Skills
- Strong analytical thinking and structured problem-solving capability.
- Ability to convert business problems into clear technical requirements.
- Excellent communication, documentation, and presentation skills.
- High curiosity, adaptability, and eagerness to learn new tools and techniques.
Educational Qualifications
- BE/B.Tech or equivalent in:
- Computer Science / IT
- Data Science
What We Look For
- Demonstrated passion for data and analytics through projects and certifications.
- Strong commitment to continuous learning and innovation.
- Ability to work both independently and in collaborative team environments.
- Passion for solving business problems using data-driven approaches.
- Proven ability (or aptitude) to convert a one-line business problem into a structured project or opportunity.
Why Join Us?
- Exposure to modern data platforms, analytics tools, and AI technologies.
- A culture that promotes innovation, ownership, and continuous learning.
- Supportive environment to build a strong career in data and analytics.
Skills: Data Analytics, Business Analysis, Sql
Must-Haves
Technical Business Analyst (6+ years), SQL, Data Visualization (Power BI, Tableau), Data Engineering (ETL/ELT, cloud platforms), Python/R
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