Data Analyst (Dataiku)

SWITS DIGITAL Private Limited; Chennai District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A leading data analytics company is looking for a skilled Data Analyst to join their team in Chennai. This role requires expertise in SQL, Python, and data visualization tools like Tableau. The ideal candidate will have 3-5 years of experience in data analysis, with the ability to communicate complex data insights to stakeholders and develop actionable intelligence. Candidates should be detail-oriented and capable of managing multiple tasks in a fast-paced environment.

Qualifications

• 3–5 years of experience in Data Analysis, Data Engineering, or related roles.
• Advanced proficiency in SQL for querying and optimizing datasets.
• Strong programming skills in Python for data analysis.

Responsibilities

• Analyze datasets to derive actionable insights for decision-making.
• Develop SQL queries to extract and analyze large datasets.
• Design and implement Python scripts for data processing.

Skills

SQL querying

Python programming

Data visualization with Tableau or Power BI

Data manipulation

Analytical thinking

Education

B.E / B.Tech in Computer Science or related field

Tools

Dataiku

Google Cloud Platform (GCP)

Git

Job description

Job Title: Data Analyst (SQL, Python, Dataiku & Tableau)

Experience: 3–5 Years

Location: Bangalore

Education: B.E / B.Tech in Computer Science, Data Science, Information Systems, or related field

Job Summary

We are looking for a highly skilled and experienced Data Analyst to join our dynamic team. The ideal candidate will possess strong expertise in SQL, Python, Dataiku, and Tableau, along with a proven ability to analyze complex datasets and generate actionable insights that drive business decisions. This role requires a combination of technical proficiency, analytical thinking, and strong communication skills to effectively collaborate with cross‑functional stakeholders.

Key Roles & Responsibilities

• Analyze complex datasets to derive actionable insights and support strategic decision‑making.
• Develop advanced SQL queries to extract, manipulate, and analyze large datasets.
• Design and implement Python‑based scripts and code for complex data processing and analysis.
• Develop, maintain, and manage advanced reports, dashboards, and BI solutions using Tableau (or Power BI/Looker Studio).
• Design, develop, and optimize ETL processes to ensure efficient data integration and workflow.
• Build and maintain scalable data pipelines using SQL and Python.
• Collaborate closely with stakeholders to understand business requirements and translate them into technical solutions.
• Work alongside data scientists, analysts, and engineers to develop data‑driven solutions.
• Communicate analytical findings and recommendations clearly to non‑technical stakeholders.
• Identify opportunities for process improvements and implement best practices in data management and reporting.
• Maintain comprehensive documentation including data dictionaries, pipeline workflows, technical specifications, and reporting guidelines.
• Provide training and support to team members on data tools, dashboards, and reporting processes.

Required Skills & Qualifications

• 3–5 years of experience in Data Analysis, Data Engineering, or related roles.
• Advanced proficiency in SQL for querying, transforming, and optimizing large datasets.
• Strong programming skills in Python (data manipulation, automation, analysis).
• Expertise in Tableau / Power BI / Looker Studio for developing interactive dashboards and reports.
• Hands‑on experience with Dataiku and/or GCP for ETL and data processing (preferred).
• Strong understanding of data modeling, ETL design, and data pipeline architecture.
• Familiarity with version control systems such as Git.

Preferred / Added Advantage Skills

• Experience with machine learning frameworks such as TensorFlow or Scikit‑learn.
• Knowledge of cloud platforms such as Google Cloud Platform (GCP), AWS, or Azure.
• Exposure to automation and workflow orchestration tools.

Soft Skills

• Strong analytical and problem‑solving abilities with attention to detail.
• Ability to think critically and approach challenges methodically.
• Excellent verbal and written communication skills, capable of presenting complex technical information clearly.
• Ability to work independently and manage multiple tasks in a fast‑paced environment.
• Strong ownership mindset with commitment to quality and timely delivery.
• Adaptable to changing priorities and new technologies.
• Collaborative team player with a proactive and customer‑focused approach.