ABOUT THE ROLE :

Incanus Technologies is looking for a Data Analyst / Business Analyst with strong analytical thinking and hands-on experience in SQL, Python, data visualization, and business problem-solving for its clients.

The role involves working closely with Business, Product, Operations, Finance, and Engineering teams to analyze data, understand business problems, identify meaningful insights, and support data-driven decision-making.

You will work with datasets from multiple sources, write SQL queries, perform analysis using Python, build dashboards and reports, track key business metrics, investigate performance trends, and identify opportunities for business and operational improvement.

This role is ideal for someone with 13 years of relevant analytics experience who enjoys solving real-world business problems using data and is comfortable working across both technical and business teams.

Important: This opportunity involves a face-to-face interview process. Candidates should be available to attend the interview in person.

KEY RESPONSIBILITIES

Data Analysis & Business Problem Solving

- Analyze business data to identify trends, patterns, anomalies, risks, and opportunities.
- Understand business questions and translate them into structured analytical problems.
- Perform exploratory and diagnostic analysis to understand business performance and key drivers.
- Conduct root-cause analysis for business and operational problems.
- Develop structured analyses to support business decisions and performance improvement.
- Work with business and product stakeholders to understand requirements and provide relevant data and insights.
- Identify opportunities where data, reporting, or automation can improve existing processes.
- Track key business metrics and investigate changes in performance.

SQL & Data

- Write SQL queries using joins, subqueries, CTEs, aggregations, window functions, and other data-manipulation techniques.
- Extract, clean, transform, validate, and analyze data from multiple sources.
- Work with structured datasets across databases and analytical systems.
- Perform data validation and reconciliation to ensure accuracy and consistency.
- Understand database structures, tables, relationships, and data flows.




- Identify data-quality issues and collaborate with relevant teams to resolve them.

Python & Automation

- Use Python for data analysis, data manipulation, exploratory analysis, and automation.
- Work with commonly used Python libraries such as Pandas, NumPy, and Matplotlib.
- Write scripts to clean, transform, analyze, and validate datasets.
- Automate repetitive analytical and reporting tasks where appropriate.
- Apply Python to solve practical business and data problems.

Business Intelligence & Visualization

- Build and maintain dashboards and reports to track business performance and key KPIs.
- Use visualization tools such as Power BI, Tableau, or Looker to present data effectively.
- Understand business metrics, KPIs, and reporting requirements.
- Create clear visualizations that help stakeholders understand trends, performance, and underlying drivers.
- Communicate analytical findings in a straightforward, structured, and actionable manner.

Stakeholder & Cross-functional Collaboration

- Collaborate with Product, Engineering, Operations, Finance, and Business teams on analytical requirements.
- Understand the business context behind analytical requests rather than focusing only on data extraction.
- Translate data and analytical findings into clear business insights and recommendations.
- Communicate findings effectively to both technical and non-technical stakeholders.
- Work with engineering and data teams to understand data sources and resolve data-related issues.
- Track the impact of analyses and recommendations wherever applicable.

REQUIRED SKILLS

- 03 years of relevant experience in Data Analytics, Business Analytics, Product Analytics, Business Intelligence, or a similar analytical role.
- Strong SQL skills, including joins, subqueries, aggregations, CTEs, window functions, and data manipulation.




- Good working knowledge of Python for data analysis and manipulation.
- Strong analytical and problem-solving skills.
- Ability to approach business problems in a structured and logical manner.
- Good understanding of statistics and quantitative analysis.
- Understanding of business metrics, KPIs, and data-driven decision-making.
- Ability to clean, validate, analyze, and interpret datasets.
- Understanding of data visualization and dashboarding.
- Ability to communicate analytical findings clearly.
- Strong numerical reasoning and attention to detail.

PREFERRED QUALIFICATIONS

- Hands-on experience with BI tools such as Power BI, Tableau, or Looker.
- Experience with Python libraries such as Pandas, NumPy, and Matplotlib.
- Understanding of databases, data models, ETL/ELT concepts, and data pipelines.
- Strong working knowledge of Excel or Google Sheets.
- Exposure to statistical analysis, experimentation, forecasting, or analytical modeling.
- Experience in product analytics, business intelligence, operations analytics, or similar analytical areas.
- Familiarity with APIs, cloud data platforms, or modern data tools is a plus.
- Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.

IDEAL CANDIDATE We are looking for someone who:

- Has strong hands-on experience with SQL and is comfortable working with data.
- Can use Python to clean, analyze, and explore datasets independently.
- Enjoys solving business problems using data rather than simply creating reports.
- Is curious about understanding why a metric changed, not just what changed.
- Can take a business question, structure the problem, analyze the relevant data, and arrive at a logical conclusion.
- Has strong numerical reasoning and attention to detail.
- Can communicate analytical findings and recommendations clearly and concisely.
- Is comfortable learning new tools, datasets, and business domains quickly.
- Can independently own analytical tasks from requirement gathering through analysis and final insights.
- Enjoys working with both business and technical teams to solve real-world problems.

📌 Business Analyst (Bengaluru)
🏢 Incanus Technologies
📍 Bengaluru